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사례 연구

개별 제조업체는 Drishti를 어떻게 활용할까요? 보다 완전한 정보와 데이터를 통한 지속적인 개선에 중점을 둔 기업도 있고, 품질이 높은...

Drishti에게 어떤 혜택을 받으시겠습니까? 실제 사회에서의 가치를 입증하기 위해 당신의 회사와 가장 밀접하게 일치하는 산업군을 선택하세요.

기타 산업군 Drishti는 수동 조립 라인을 생산 공정의 필수적인 부분으로 활용하는 광범위한 산업에 이상적입니다.

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Resources

"Understand the seismic shift manufacturing is experiencing during this fourth era of change: AI-powered production."

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About Drishti

About Drishti AI와 컴퓨터 비전을 사용하여 Drishti는 제조 사상 최초로 대규모 수작업 조립 공정을 최적화합니다. 우리는 개별 제조의...

우리의 목적 Drishti는 수동 조립 라인에 대한 비디오 분석 및 비디오 추적 기능을 제공합니다. 우리의 개별 제조업체의 고객은...

우리의 가치 우리는 수작업으로 조립할 수 있는 3억 4,500만 명의 사람들을 지원하기 위해 무엇을 해야 하는지에 대한 결정을...

Our History Drishti가 어떻게 제조의 네 번째 시대, 즉 AI 기반 생산을 세계에 소개하는 위치에 있게 되었는지 알아보세요. ...

리더십 우리의 창업자 및 기술·제조 분야의 전문가를 소개합니다. Prasad Akella 박사, 설립자 겸 회장Krishnendu Chaudhury 박사,...

투자자 HELA Ventures에서 Toyota Ventures에 이르기까지 우리는 거의 12개 가까운 혁신적인 투자 회사의 지원을 받는 것을...

파트너 Drishti는 Deloitte와 Kearney를 포함한 파트너들의 지속적인 지원 없이는 가능하지 않을 것입니다. 우리는 그들의 공헌에 감사합니다. ...

위치 본사는 캘리포니아주 마운틴뷰에 있으며 북미, 유럽, 아시아에 걸쳐 팀원들을 두고 있습니다. Drishti의 주요 제품 및 AI...

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Legal Notices

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自動車OEMSとサプライヤー

自動車業界のトップ企業は、どのようにDrishtiを活用しているのでしょうか。私たちの技術が実際の現場でどのように機能しているのか、お客様からのインサイトを集めました。

自動車の組み立てラインが成功するかどうかは、2つの重要な要素に左右されます。 新製品·新プロセスのテストと新市場への参入の迅速化PPM不良率ゼロを維持したままコスト低減を実現 Drishtiはその両方を実現します。 自動車業界において、Drishtiがマニュアル組立ライン全体(組織全体の各ステーションから)を包括的に表示し、何が起きたのか、なぜ起きたのかを即座に把握できるようにした方法をご覧ください。

HELLA:世界的な自動車部品サプライヤー HELLAは、完全に最適化されていると思われるラインにDrishtiを導入しました。10週間後、HELLAのチームメンバーは、Drishtiを使って新たな改善点を発見しました。 導入事例を見る

Drishtiは、意思決定を向上させるAIを活用した生産を推進します。 自動化されたラインでは、常に多くのデータが生成されています。手動生産ラインの組立データ収集プロセスも自動化できるようになりました。 Drishtiは、路線上のすべての駅のデータを収集するカメラで、1サイクルごとにキャプチャし、そのすべてのデータポイントのビデオを保存して、すばやく検索して取り出せるようにします。

包括的なレポート 独自のAIモデルにより、映像データをあらゆるサイクルで分析し、インサイトに変換し、お客様にプッシュします。 ボトルネックの特定と是正標準的な作業の逸脱を発見し、修正する品質管理、ライン社員の教育 Drishtiを使用すると、継続的な改善プロセスにおいて、これまでにない量と精度で詳細なサイクルタイムデータを受け取ることができます。 自動車メーカーは、収集したデータや管理する「カイゼン」イベントに制限されることなく、ラインを最適化することができるようになりました。

その他の自動車関連ケーススタディ

自動車メーカーとサプライヤーのメリット 産業エンジニア、製造チーム、品質担当者、およびそのラインアソシエイトに、必要な分析機能を提供します。 不良品の削減標準作業遵守率の向上ボトルネックの特定と変動要因の特定カイゼン活動を加速させ、その効果を高める。ラインアソシエイトへのトレーニングの充実根本原因分析の改善と問題発見までの時間短縮NPIプロセスの高速化

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医療機器製造

医療機器組立ラインの成功は、2つの重要な要素に左右されます。 不良品ゼロ完全なトレーサビリティ この2つの偉業を達成するための秘訣は? Drishtiです。 高度に規制された産業におけるリスクとスループットのバランスを、手動組み立てラインに関する想像を超えるレベルの洞察で実現します。

規制の厳しい世界で、AIを活用した効率的で低コストの生産を実現する 医療機器メーカーには、2つの必須事項があります。不良品ゼロと完全なトレーサビリティです。 オストメイトバッグ、点滴、ステント·デリバリー、クラスII/IIIの機器など、リスクの高い機器は、規制の厳しい製造環境において重要な品質対策を維持しながら、効率的で最低コストの生産を行う必要があります。 高い品質を維持しながら生産性を向上させ、生産コストを削減するためには、十分な情報に基づいて意思決定する必要があります。

医療機器製造業をかつてないほど進化させる Drishtiは、医療機器メーカーが継続的に改善する文化を維持することを支援します。 手作業で組み立てられた医療機器の各段階のビデオとデータを取得します。サイクルタイム分析を簡単に素早く表示し、ビデオを取り出してすぐに確認することができます。 Drishti独自のAIモデルは、動画をデータ、分析、洞察に変換し、医療機器の手動組み立てを史上初めて完全に測定することができます。

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Consumer / Industrial

Industrial assembly line success depends on two critical factors: Testing new products and entering new markets fasterLowering costs...

Automate the data collection process Finally, you can automate the process of collecting assembly data on manual consumer...

Proactive reports Our proprietary AI models turn video into data and analytics on every cycle, which is automatically...

With Drishti, you'll receive detailed cycle time data at a level of precision never seen before in continuous...

Benefits for consumer goods and industrial manufacturers Empower your industrial engineers, manufacturing teams, quality personnel and their line...

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電子機器製造

電子機器組立ラインの成功は、2つの重要な要素に左右されます。 新製品のテストと新市場への参入の迅速化既存製品のコストダウンと品質向上 この2つの偉業を達成するための秘訣は? Drishtiです。

電子工場の現場の意思決定を改善するAIを活用した生産を推進するDrishti サーバーなどの少量多品種の家電製品、5G機器、ハイエンドAV機器など、手作業の生産ラインにおける組立データの収集プロセスを自動化することができるようになりました。 Drishtiは、路線上のすべての駅のデータを収集するカメラで、1サイクルごとにキャプチャし、簡単に検索·呼び出し可能なビデオに裏打ちされた分析を作成します。

エレクトロニクスメーカーにとってのメリット AI-Powered Productionは、電子機器メーカーが膨大なデータや映像を容易に入手できるようにします。これにより、より多くの情報に基づいた意思決定が可能となり、より迅速で効率的な組立ラインの改善につながる機会が数多く生まれます。これには、以下のような迅速な意思決定が含まれます。不良品の削減標準作業遵守率の向上ボトルネックの特定と変動要因の特定カイゼン活動を加速させ、その効果を高める。ライン作業者へのトレーニングの充実根本原因分析の改善と問題発見までの時間短縮NPIプロセスの迅速化 Drishtiは、ビジネスの洞察を促進する手動組み立て作業に関する新しいデータセットを提供します。これにより、組立工程に携わる人々に力を与え、電子機器メーカーの製造業の新時代を切り開くことができます。

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Packaging

Packaging and kitting assembly line success depends on two critical factors: Ensuring the right product is in the...

Drishti helps reduce the costs of packaging or kitting errors In manufacturing companies such as medical device, pharmaceutical,...

Benefits for packaging and kitting fulfillment services Empower your industrial engineers, manufacturing teams, quality personnel, and line associates...

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Blog

See how AI-powered production transforms discrete and lean manufacturing and manual assembly lines

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Common Questions

Find out how Drishti can help advance your discrete manufacturing organization with AI-powered production for manual assembly lines.

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Datasheets

Traceability products and video analytics for the manufacturing industry. See how Drishti can help here.

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Whitepapers & Reports

See how Drishti's AI-powered production and computer vision processes transfom lean manufacturing and manual assembly.

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Videos & Webinars

Free videos, webinars, and panel discussions with subject matter experts in AI, AI-powered production, and video traceability and analytics in manufacturing.

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Use Cases

Drishti is ideal for discrete manufacturers that have assembly line processes with repetitive movements. This includes factories from...

Primary use cases

Featured use cases for Drishti

Validate warranty claims with efficient root cause analysis Traditional investigative methods take weeks. Discover root cause within...

Continuously measure cycle time to improve throughput Uncover bottlenecks, imbalances, and variability in near-real time to continually...

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当社の歴史

第4の製造業の時代。AIを活用した生産 現在までに、ものづくりには3つの時代がありました。

今、ドリシュティは製造業の第4の時代を牽引しています。それは、AIを活用したものづくりです。過去の3つの時代の最良の要素を取り入れ、AIとコンピュータビジョンで超強化しているのです。そして、その結果は、それ以前の時代と同じように、大きな変革をもたらします。

活動開始の経緯 30年前、ゼネラルモーターズの一般組立ラインでは、コックピットのような重い部品を安全に取り付けるために、作業員が苦労しているという問題があった。コックピットのような重い部品を安全に取り付けるのに苦労していたのです。しかし、複雑で変化に富んだ工程をこなすには、ロボットは十分に機敏ではありませんでした。 GMは、この問題を解決するために、世界初の協働ロボット(コボット)を開発したチームを率いるドリシュティの現CEO兼創業者のプラサド·アケラ博士に注目しました。 そのアイデアはシンプルだが、画期的なものだった。機械の強さと精度を、人間の敏捷性と適応性に結びつける。 現在の数十億ドル規模の市場を創り出しただけでなく、プラサドは深い理解を得たのである。人とテクノロジーが一緒に働くことで、互いの価値を高め合い、その総和よりもはるかに価値のあるものを生み出すことができるということです。 2016年に設立されたドリシュティは、人と機械が共に働く道を促進します。それは、ドリシュティが製造業の世界で推進する道であり、そうすることで、世界に第4の時代の製造業を紹介することになるのです。工芸品、大量生産、リーン生産の豊かな足跡をたどる、AIを活用した生産です。

実績 2021 ドリシュティは、EMEA拡大計画の一環として、ヨーロッパで最初の契約を締結しました。 2020 ドリシュティはシリーズB資金を獲得し、新しいグローバル製造業の顧客と契約し、ForbesとNVIDIAからトップAI企業として認定されました。 ...

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リーダーシップチームの紹介

当社のグローバルリーダーシップチームは、数十年にわたる革新的な技術の開発と企業の成長に関する多様な経験を有しています。

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투자자

현대 제조업이 가진 가장 큰 문제는 인간이 분석에서는 보이지 않는다는 것입니다. 수십년의 로봇 발전과 자동화 이후에도, 72%의 제조...

최고의 결과는 인간과 기계가 함께 일할 때 실현됩니다. 그리고 우리의 투자자들은 이것을 알고 있습니다.

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News & Press

Read the latest news, analyst coverage, and press releases from Drishti.

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Awards & Recognition

Onward and upward: Manufacturing and technology associations take notice

Onward and upward: Manufacturing and technology associations take notice

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Contact Us

Drishti has offices in Palo Alto and Bangalore. Use this form to contact Drishti, or send us an email at info@Drishti.com.

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Terms of Service

Last Updated: May 4, 2018 Welcome to the Drishti (“Drishti”) website located at drishti.com (the “Site”). Please read...

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Privacy Policy

최종 업데이트: 2021년 1월 22일 Drishti는 개인의 개인 정보를 최대한 존중하며 이 개인 정보 보호 정책은 서비스를 통해...

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RECOMMENDED

Blog - Most Recent

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Blog Custom: Automotive

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Resources - Most Recent

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Resources - Whitepapers - Automotive

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Careers

Peek behind the curtain to see what life is like in a world-changing tech startup. Drishti employs some...

All Career Articles

Global career opportunities Today, action recognition technology is disrupting manufacturing. Tomorrow, Drishti can have a major impact wherever...

Want to Keep Hearing from Drishti? The perfect position might not be listed today, but we're always looking...

Follow Us On Social Media Powered by Curator.io

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Events

Here's what's coming up in the world of AI-assisted manufacturing.

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AUTHORS

Prasad Akella

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The 100-year-old manufacturing problem

Prasad Akella

The biggest problem facing modern manufacturing is that humans are effectively invisible to analytics. This problem is all...

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"Differentiation in manufacturing is all time to market." The Drishti Interview: Anik Bose, BGV

Prasad Akella

Anik Bose, General Partner at Benhamou Global Ventures, was the first investor to hear Drishti's story—and, I'm flattered...

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Introducing Drishti: Making factory workers more competitive in an increasingly automated world

Prasad Akella

Manufacturing has two big secrets. The first big secret is that, despite years of advances in robotics and...

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Drishti recognized as a “Hot Vendor” by Aragon Research

Prasad Akella

On July 25, 2018, Aragon Research published Hot Vendors in Digital Business Platforms, 2018. As the name implies,...

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Drishti Milestone: Recognized in Gartner Hype Cycle

Prasad Akella

One of my former coworkers from my factory days has become a golf fanatic. He watches, plays and...

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Augmenting tasks performed by humans is no easy feat

Prasad Akella

In the mid-1990s, I led the industry/academia team at General Motors that built the world’s first collaborative robots....

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New Research: The State of Human Factory Analytics

Prasad Akella

“I believe there is significant – as yet untapped – opportunity to drive high volume factory performance to...

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Drishtiの紹介: 自動化が進んだ世界で工場労働者の競争力を高める

Prasad Akella

製造業には2つの重大な秘密がある。 まず第一の秘密は、ロボティクスと自動化の長年の進歩に関わらず、大部分の工場での仕事はまだ人間によって実行されていることである。 スマートフォンがわかり易い例である。ご存知の通り、携帯電話を持っている約50億もの人とのデジタルな接点である。同時に、驚くほど大きな数の人々との物理的な接点も持っている。ただ、中国の工場でそのスマートフォンを作ってくれた約100人近くの人々がいることはあまり知られていない。 ボストン・コンサルティング・グループによると、工場作業のわずか10%程度しかロボットが行っていないという。これはスマートフォンの組み立ても例外ではなく、メーカーで多少の違いがあるにせよ、人間対ロボットの比率は少なくとも50対1である。 世界の製造業の市場規模は12兆ドルに登ると言われるが、その90%を占めているのは人間であるのにも関わらず、活動を測る技術は、Henry Fordの時代から実質的には変わっていない。これらの技術は手動で時間を要するものがほとんどで、ビジネスの拡大時に成り立たないことが多い。 そして、製造業のもうひとつの大きな秘密は、100年もの間、人間行う作業は科学的な分析が行われて来なかった点である。 測定することが出来なければ、それを改善することはできない。製造業が人間の生産性が限界に達したと思うなら、オフシェアや自動化に目を向けるのは不思議ではない。 そして製造業の3つめの大きな秘密であるDrishtiを本日はご紹介したい。 Industry 4.0の最大の盲点を明らかにする 私は過去2年の間、黙々と新しい会社のベースを築いてきた。当初の仮説から始まり、SRI Internationalの客員起業制度を用いて具現化を試み、会社の共同設立者のKrishnendu ChaudhuryとAshish Guptaと合流し、Drishtiを設立。その後も順調に成長し、素晴らしいチーム、顧客と投資家を得るところまで来た。 本日、既存投資家の Andreessen Horowitz と Benhamou Global...

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製造業が抱える100年越しの課題

Prasad Akella

現代的の製造業が直面している最大の課題は、人間の作業の可視化が出来ないことである。 何十年ものロボティクスと自動化の進歩を経ても、製造タスクの90%がいまだに人間によって実行されていることを認識すると、この問題の重要性を認識できる。ゴールドマン・サックスの調査では、製造業の全世界の雇用は3.4億人と言われている。 Industrial IoTの時代では、対応する機器からのデータと人間の作業からのデータを比較した際には、人間の作業分のデータは非常に小さく、機器から収集されるデータと比較するとほぼ皆無に等しい。 このデータの不均衡により、重大な副次的効果を2つ生じさせる。 製造業者は、容易に定量化できる(ロボット、自動化、IIoT)製造タスクの10%に過剰投資、もしくは近視眼的なコストの最適化(オフショアリング、解雇)を行う。 その結果、工場労働者は自分の将来を恐れ、経済的・文化的・政 治的な心配により、新しい技術を嫌う。 これが厳しい現実。 私はDrishtiが別の道を提供していると信じている。 しかし、未来を描写する前に、まず大量生産時代の幕開けの100年以上前に戻る必要がある。 Frederick Taylorの不滅の時間測定 1911年にFrederick Winslow Taylorは「科学的管理の原理」を発表した。産業史を学んだ誰もが知っているように、この論文は現代製造業への影響力が強く、唯一トヨタの生産方式がこれを超える影響力があると言われている。 ...

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Drishti sheds light on the person-shaped blind-spot in factory analytics

Industry 4.0 is changing the nature of manufacturing. From IoT and AI to wearables, advanced robotics and 3-D...

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The ROI of better factory analytics

Earlier this month, Drishti teamed with A.T. Kearney to announce joint research on the gap in human analytics...

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How AI and data amp up the traditional genba

Prasad Akella

For decades, lean manufacturers have embraced the genba walk as a tool to understand firsthand what’s happening on...

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BLOG

From 10 to 10,000: More data paints a more accurate picture

Look at this beautiful image below. So tranquil. So ethereal. You probably know what it...

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BLOG

The secret to effective AI deployments: The real world

Prasad Akella

Artificial intelligence (AI) isn’t a single technology; it’s a term that covers a field of computer science in...

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BLOG

This software engineer chose to join Drishti to change manufacturing

Last month, I signed up to join the Drishti team as its first Director of Engineering. After more...

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BLOG

The data outlier that wasn’t: Going beyond a normal world

For years before I came to Drishti, I worked in finance and trading, a field where literally every...

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BLOG

What being a Gartner “Cool Vendor” means to me

Prasad Akella

Drishti was recently named a May 2019 “Cool Vendor” in Manufacturing Operations by Gartner. We believe it’s a...

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BLOG

The World Economic Forum recognizes Drishti’s “human first” focus: "When 1+1 = 3"

Prasad Akella

This week, the World Economic Forum (WEF) announced its slate of 2019 Technology Pioneers, a group of 56...

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BLOG

Why work in manufacturing? Four reasons why factories are AI's future.

I live in the Bay Area. And in our bubble, the future is here. I can honestly say...

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BLOG

3 ways to build trust in manufacturing data

More than ever, data is driving manufacturing. New technologies like AI and machine learning are processing massive volumes...

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BLOG

Monozukuri and takumi: Scaling the craftsman mentality in a 21st century factory

Prasad Akella

Craftsmanship. By definition, it means portraying skill at something – carving wood, sculpting clay, welding metal. But craftsmanship...

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BLOG

Drishti guides automakers in uncertain times — including DENSO

Prasad Akella

After many decades of incremental improvements, the automotive industry is experiencing a sea change. Driving this change are...

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AUTHORS

Jake Summers

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BLOG

The bane of lean engineers: Waste

Jake Summers

Prior to joining Drishti, I was a lean practitioner at Tesla and Boeing. So I’ve been in the...

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BLOG

Assembly lines + COVID-19: News roundup from the factory floor

Most manufacturers now face two critical imperatives: keeping the goods that society relies on flowing out the door,...

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BLOG

Agility and ingenuity during COVID-19: News roundup from the factory floor

Manufacturing isn’t an industry that’s known for being able to change on a dime.  Assembly lines are a...

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BLOG

Automakers prepare for long-term COVID-19 impacts

With 95% of Americans under shelter-in-place ordinances and following social distancing guidelines, it’s no surprise that virtually all...

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BLOG

The looming assembly line quality crisis

As factories reopen following COVID-19 shutdowns, the number one thing on everyone’s mind is worker health, and rightfully...

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BLOG

How factory video traceability lowers quality costs

Back in April, one month into California’s lockdown, my wife and I decided to “celebrate” (in coronavirus-fashion) our...

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BLOG

Drishti's Series B ushers in a fourth manufacturing era: AI-powered production (and people)

Prasad Akella

This morning, we announced news that we've closed a $25M Series B funding round, in the midst of...

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AUTHORS

Erin Caldwell

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BLOG

Digital transformation and empowering workers (a Drishti interview)

Erin Caldwell

Prasad Akella, Drishti’s founder and CEO, recently interviewed Andy Luse, associate partner at McKinsey & Company. The conversation...

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BLOG

Digital transformation and experiential learning (a Drishti interview)

Erin Caldwell

Drishti’s founder and CEO Prasad Akella recently interviewed Andy Luse, associate partner at McKinsey & Company. The discussion...

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BLOG

Building a value mentality and the impacts of coronavirus (a Drishti interview)

Erin Caldwell

Drishti’s founder and CEO Prasad Akella recently interviewed Andy Luse, associate partner at McKinsey & Company. The interview...

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BLOG

AI-powered production and a Coors Field miracle

Erin Caldwell

25 years ago, one of Drishti’s executives called in sick from his summer job at a Denver-area Subway...

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AUTHORS

Dalia Pena

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BLOG

Data makes kaizen events shorter and more impactful

Dalia Pena

I’m a big fan of kaizen events. My background is in lean engineering, and if there’s one thing...

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BLOG

Process investments: As important as product, but often ignored

Prasad Akella

In assembly, codifying the process through standardized work is paramount to high quality and throughput. That’s why standardized...

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BLOG

The big reveal: Demonstrating AI-powered production at NVIDIA GTC

Four years and four months ago, I got a call from my old boss, a guy named Prasad...

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BLOG

Drishti is Mario’s warp whistle for HELLA’s assembly lines

Jonathan Conlin

Thirty years ago, Super Mario Bros. 3 was released in North America. Like most American teenagers, I was...

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BLOG

Advice from ZF: How to teach old manufacturers new tricks

A few weeks ago, the Leuphana Digital Leadership Campus invited Drishti and ZF to co-present a live webinar...

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BLOG

Goodbye, 2020: A series of year-end predictions

Prasad Akella

One of the most bizarre years of my lifetime is finally coming to a close. At Drishti, we...

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BLOG

Part 1: Regionalization and manufacturing neighborhoods

Prasad Akella

I recently reflected on what 2020 meant for Drishti. In this three-part miniseries, I’m examining trends and shifts in...

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BLOG

Use case: How a tools manufacturer accelerates their testing processes

THE BUSINESS PROBLEM Like most industries, tools manufacturers are racing their competitors to bring new products to market....

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BLOG

Use case: How a medical device manufacturer makes line transfers faster, while cutting out travel

THE BUSINESS PROBLEM At least ten times a year, this American medical device manufacturer transfers production of certain...

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BLOG

Use case: How a medical device manufacturer reduces the business risk of packaging mistakes

THE BUSINESS PROBLEM Imagine this scenario: While prepping for surgery, an attendant realizes that the heart valve they...

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BLOG

Use case: How an auto tier-one halved its defect rate using video as a spot-training tool

THE BUSINESS PROBLEM In theory, every defect or production abnormality is an opportunity to learn and improve performance. ...

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BLOG

Use case: How an auto tier-one performs root cause analysis in hours instead of days

THE BUSINESS PROBLEM Every assembly line has a long list of problems that need to be addressed. The...

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BLOG

Part 2: Changes to manufacturing in the U.S.

Prasad Akella

I recently reflected on what 2020 meant for Drishti, and subsequently added the first of what will be...

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BLOG

Video designed for manufacturers, not casinos

**This is a true story, with a few details changed to protect the manufacturer’s good name.** In an...

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BLOG

Part 3: The growing imperative for practical AI

Prasad Akella

In the last of my three-part series on looking ahead to 2021 (and leaving 2020 firmly in the...

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AUTHORS

Micki Collart

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BLOG

Poor quality is expensive: Reducing quality costs in medical device manufacturing

Micki Collart

For many manufacturers, the economics of quality is a simple cost-benefit analysis: investing in quality manufacturing is worth...

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BLOG

How Drishti ruins the hard-boiled detective story

When Raymond Chandler sat down to write a Philip Marlowe novel, he sent his detective on a sprawling...

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BLOG

"First of all, Toyota is also aspiring to be like Toyota."

Last week, Drishti put on the webinar of a lifetime (at least, for people who geek out over...

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AUTHORS

Primo Garcia

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BLOG

Video killed uncertainty on manual assembly lines

Primo Garcia

So it doesn’t have quite as catchy a ring to it as The Buggles song; even so, what...

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BLOG

Drishti’s manufacturing leadership — and influence — recognized

Prasad Akella

Earlier this week, the National Association of Manufacturers shared its list of 2021 Manufacturing Leadership Award winners. We...

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BLOG

Use case: How to retain the knowledge of a nearly retired workforce

Micki Collart

THE HIRING PARADOX  It’s estimated that replacing an employee costs you more than 30% of his or her...

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BLOG

Histories are built one milestone at a time

I tell my sales team all the time that history is important. Maybe because I was a Russian...

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AUTHORS

Diana Fierro

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BLOG

Traceability with Drishti means indisputable proof

Diana Fierro

The concept of traceability in manual assembly is pretty straightforward: When a customer calls about a product, whether...

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BLOG

Rethinking quality inspection for manual assembly

Jake Summers

Control: You either have it or you don’t.  Understanding if processes are in control is just one of...

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BLOG

Model lines are worth the (significant) effort

The model line. It’s a lot of work to set one up, and it can take a long...

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BLOG

Inspection answers the “what.” You really need answers to “why?”

Primo Garcia

Most manufacturing professionals are familiar with the 5 Whys as a tool for problem-solving. This iterative technique is...

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BLOG

Humans and machines: An inspection power combo

Jake Summers

Inspection is a process that can be done by humans or machines, and both parties have strengths and...

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AUTHORS

Sandeep Nagaraju

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BLOG

Vision systems for inspection: What to look for in a system intended for manual assembly

Sandeep Nagaraju

Even though inspection is considered as a non-value added activity, our processes are not stable enough to eliminate...

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BLOG

Why Drishti? A VP of global manufacturing strategy provides his view

Drishti’s impact at the line level is apparent. Just ask this Tier 1 auto manufacturer, for example, who...

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AUTHORS

Arjun Salwan

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BLOG

The ROI of video beyond inspection

Dalia Pena

Previous blogs in this series have introduced you to how you can use cameras on assembly lines beyond...

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AUTHORS

Jonathan Conlin

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COMMONQUESTIONS

Who manages Drishti, and who uses it?

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COMMONQUESTIONS

My line has a lot of people on it. How can Drishti help?

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COMMONQUESTIONS

How will my line associates react to having cameras installed over their heads?

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COMMONQUESTIONS

Hiring is a big initiative for me, as many of my line associates are approaching retirement. Will Drishti help me recruit or train new associates?

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COMMONQUESTIONS

What does Drishti provide to medical device manufacturers?

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CASESTUDIES

HELLA:世界的なティアワン自動車部品サプライヤー

Client Overview HELLA is a lean manufacturer and one of the world’s leading automotive suppliers. Their world-class team...

クライアント概要 HELLAは、リーン生産方式を採用する、世界有数の自動車部品メーカーです。同社の世界トップクラスのチームは、歴史的に最先端のリーン手法と先進技術を駆使して生産の最適化を図ってきました。HELLA Venturesチームがドリシュティ と出会ったとき、彼らは我々のAIを搭載したビデオと分析によって、リーン生産の実践を進化させる機会を発見しました。

The solution: AI-powered production with Drishti data and video HELLA's objective was to identify standardized work deviations and...

その解決策ドリシュティ のデータと動画でAIを活用した制作を実現 HELLA社の目的は、標準的な作業の偏差と生産性向上のための領域を特定することでした。同社の継続的改善チームは、カイゼンイベントの準備のために、ドリシュティを使用してライン上の各ワークステーションのサイクルタイムを記録しました。 彼らは、Drishtiソフトウェアの両層を実行する12本のDrishtiビデオストリームを配備しました。

Putting it to the test Marcos Aurelio Alves Junior is the operational excellence and industrial engineering manager at...

テストにかける Marcos Aurelio Alves Junior 氏は、HELLA Mexico 社のオペレーショナルエクセレンスおよびインダストリアルエンジニアリングマネージャーを務めています。彼は、ドリシュティ プロジェクトを任され、ドリシュティ カスタマーサクセスチームが彼をサポートしました。 ドリシュティ のチームは、ドリシュティ のシステムの使い方を指導するだけでなく、改善活動や取り組みの優先順位について、専門家によるフィードバックも行いました。5週間以内に、HELLAチームはカイゼンイベントのために、ラインバランス、ワークステーションごとのサイクルタイム頻度、生産トレンドなど、ドリシュティ が生成した分析結果を手に入れました。 これは、アルベスが過去に行ったどのカイゼンイベントとも違っていた。 ...

“Normally with a kaizen event you record a hundred cycles through time and motion studies,” said Alves, “Drishti...

「通常、カイゼンイベントでは、タイム&モーションスタディを通じて100サイクルを記録しますが、ドリシュティ は500サイクルや1000サイクルを記録するので、人々が観察されていると感じることがなく、データに偏りがありません」とAlvesは言います。ドリシュティは、500サイクル、1000サイクルを記録します。

The HELLA team used Drishti’s line variability and trend charts to surface cycle time anomalies and click into...

HELLAチームは、ドリシュティ のライン変動とトレンドチャートを使用してサイクルタイムの異常を表面化し、チャートから直接ビデオにクリックしました。動画が手元にあるため、ラインのバランスを取る方法が、巨大で時間のかかるパズルになることはありません。今では、より頻繁に、より優れた洞察力でラインを改善することができるようになりました。

The results: new lean processes pay off

結果:新しいリーンプロセスが功を奏する

Alves and team completed the Drishti-supported kaizen event proving that highly optimized lines still have greater productivity potential...

アルベスたちは、高度に最適化されたラインにはまだ大きな生産性の可能性があることを証明し、継続的な改善活動を実際に実行できることを確信し、ドリシュティ の支援による改善活動を完了させたのです。 全体として、サイクルタイムが7%短縮され、生産性は5%向上しました。その結果、自動車用電子製品部品の生産能力が年間数万個増加したのです。人件費の削減は、ラインを再バランス化し、シフト間の変動に即座に対応できるようになったことによるもので、生産性が向上しました。 現在、HELLAは世界中の追加工場にドリシュティ の展開を拡大しています。HELLAの見解では、AIを活用した生産時代への推進を支える新しいAIと映像技術で、無駄のない生産の壁を突破したことになります。

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WHITEPAPERS

The Butterfly Defect

A new framework for calculating the cost of assembly line defects in the face of unpredictable outcomes.

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RECOMMENDED

Resources - Trace

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COMMONQUESTIONS

What type of information and data does Drishti capture on a medical device manufacturing line?

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COMMONQUESTIONS

How does Drishti work with my other systems on the manufacturing floor?

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COMMONQUESTIONS

The biggest consideration for my assembly line is quality. How can Drishti help me?

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COMMONQUESTIONS

Competition in this field is growing, and it’s cutting into my business. Can Drishti help with my market position?

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COMMONQUESTIONS

There are significant regulations in the medical device industry. How does Drishti comply, and what does a deployment of Drishti look like in such a controlled environment?

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COMMONQUESTIONS

How are other medical device manufacturers using Drishti, and what benefits are they seeing that might also show up on my line?

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USECASES

Increase Process Efficiency

Eliminate labor-intensive process data creation To improve a process, you must first measure it. On most manual assembly...

AI-powered production with Drishti drives line optimization The core promise of AI-powered production is that routine data collection...

Here are just a few things they can do with continuous time study data:

Line balancing and variability reductionMore effective process designMore efficient kaizen eventsFaster standardized work analysisRicher shift handover/passdownFaster recovery from...

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BLOG

Drishti at EmTech Next: AI and computer vision power people at work

Erin Caldwell

Last month, Drishti’s Founder and CEO Prasad Akella joined numerous other experts in the world of AI for...

Let’s start with two myths that are pervasive in manufacturing: First, the myth that robots make all of...

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RECOMMENDED

Resources - Flow

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CASESTUDIES

DENSO

클라이언트 개요 DENSO는 세계 2위의 모빌리티 공급업체로 현재 시판되고 있는 거의 모든 차종에 대응하는 첨단 기술과 부품을...

과제: 직원의 부가가치를 높이면서 상당한 프로세스 개선을 달성 DENSO의 목표 중 하나는 혁신적 기술을 활용하여 첨단 모빌리티의 새로운...

솔루션: 수동 작업에 대한 실시간 연속 분석 AI과 컴퓨터 비전에 의해 실현된 Drishti의 동작 인식 기술을 통해 DENSO는...

결과: 지속적인 데이터 생성을 통해 생산성에 대한 통찰력과 품질 지표를 제공하고 더 나은 의사 결정을 도움 Dishti는 처음으로...

"이 도구는 모든 카테고리의 성능을 향상시키고 덴소가 고가의 자동화를 고려하는 이유를 줄여 고용을 유지할 수 있습니다." —Raja Shembeckar,...

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CASESTUDIES

의료기기 제조 분야의 글로벌 리더

클라이언트 개요 구조 심장 질환 분야의 세계적 리더인 이 기업은 미국 최고의 대기업으로 경쟁력을 유지하기 위해 특정...

코로나 19로 인한 여행 부족으로 라인 이전은 분명히 더 어려워졌습니다. 그러나 코로나19 이전에도 이 제조업체는 라인 이전을 가속화할...

과제: 라인 이전 비용 관리 (코로나 이전에, 라인 협력자 팀은 생산의 안팎을 배우기 위해 수신 사이트에서 송신 사이트로...

일단 훈련된 라인 담당자들이 수령 거점으로 돌아오면, 그들은 배운 것을 구현하고, 그들의 라인 동료들을 훈련시키고, 그들이...

솔루션: Drishti 추적가능성으로 벤치마크 데이터 및 교육 프로세스 간소화 이 제조업체는 Drishti Trace를 도입하여 발송 측의 프로세스를 문서화하고,...

결과: 학습 속도 향상으로 시간과 비용 절감 새로운 라인 이전 프로세스를 통해 엔지니어링 팀은 출장 위험(팬데믹의 중심에서)...

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CASESTUDIES

A leading power tools manufacturer

Client Overview At this American tools manufacturer, the business imperative for speed and innovation runs headfirst into another...

The challenge: Gain a better understanding of why products failIn one testing lab, the company’s test engineers engage...

The solution: Drishti traceability gives a boost to critical testing know-how This consumer tools manufacturer deployed Drishti's solution to...

Putting Drishti to work Here’s how the team used Drishti to accelerate their product testing process: Video replay...

The results: more thorough, efficient testing led to exceeding quality expectations Drishti has given test engineers more time...

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CASESTUDIES

최고의 전자 제품 계약 제조업체

계속해서 전달하는 더 빠르고 효과적인 Kaizen

클라이언트 개요 이 업계에서 유명한 전자 장비 위탁 제조 회사에게 지속적인 개선은 매우 효과적인 프로세스 입니다. 그들의...

과제: 지속적인 개선 장애물 점프 최근의 지속적인 개선 노력으로 라인에서 더 많은 가변성이 발생했으며, 이는 표준화된 작업의...

해결책: Kaizen을 뛰어넘어 지속적인 개선 이익 Drishti Flow를 각 스테이션에 설치함으로써 이 제조업체는 데이터 수집을 수행하고 "가상...

Drishti를 업무에 투입하면 큰 혜택을 볼 수 있습니다. Drishti의 지속적인 비디오 및 AI 기반 생산 프로세스를 통해 이제...

결과: 더 높은 품질의 제품을 지속적으로 제공 새로운 지속적인 개선 기능을 통해 팀은 그 어느 때보다 빠르게 라인에서...

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CASESTUDIES

Packaging at the global leader in cardiovascular care

Client Overview This Just Company Award winner is nothing if not responsible. When their inspection activities uncover an abnormality,...

The challenge: reduce the risk of nonconformance and customer complaints In other industries, it’s not a crisis if...

The solution: complete video traceability for speedy investigations with concrete results This leading medical device manufacturer deployed Drishti's...

The results: lower costs and higher quality Drishti helped this customer radially reduce the time required to investigate...

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VIDEOS

Drishti's vision

A simple question with far-reaching implications: What happens when AI and humans work together on the factory floor?

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VIDEOS

Drishti in 8 minutes: Our NVIDIA GTC session

NVIDIA named Drishti as one of the top AI startups in North America. Watch our session at the 2020 GTC conference to see why.

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VIDEOS

How to deploy new factory technology — faster

What will it take to drive massive technology adoption on the factory floor? Watch this webinar hosted by Dr. Prasad Akella, Drishti founder and CEO. He will be joined by industry expert panelists, including Nick Patience, founder and research vice president at 451 Research. Nick is the lead analyst for AI and machine learning.

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VIDEOS

How AI extends the Toyota Production System featuring Dr. Jeff Liker

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VIDEOS

Is there a ‘Zoom’ for the assembly line?

Protecting workers is every manufacturer’s #1 concern. But social distancing will disrupt productivity and quality in a way that is utterly without precedent.

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VIDEOS

How technology helps auto manufacturers cope with industry change

Prasad Akella, Laurent Becher and Dave Prager explore how OEMs and suppliers can use AI to be on the forefront of industry disruption in the automotive world.

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VIDEOS

From Data Droughts to Data Deluges: Managing More Manufacturing Data (and a New Data Culture)

With AI in the factory, manufacturers must adjust to having exponentially more data than ever before. Watch to learn how.

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USECASES

Reduce Assembly Line Defects

Too many quality issues, too few engineers. For any given defect or deviation, engineers have to follow intense...

AI-powered production helps you do moreWith AI-powered production, cameras continuously monitor the assembly process for continuous measurement and...

Just some of the things you can do with video traceability

Root cause analysisFaster reportingOperator training and performance improvementCountermeasure designProduct design improvementDigital collaboration

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USECASES

Accelerate Line Associate Training

Is inefficient line associate training holding your team back? Standardized work is at the heart of lean manufacturing,...

AI-Powered production keeps assembly teams engaged There’s a reason that the best sports teams coach their athletes using...

Just some of the things you can do with video training

Classroom trainingOn-the-line trainingPerformance improvementCapture and preserve knowledgeContinuous feedback

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USECASES

Mitigate Recall and Warranty Risks

Stop quality problems before they become business risks The moment a defect escapes final inspection, it stops being...

AI-powered production helps pinpoint assembly issues, fast The video streams at the heart of AI-powered production help manufacturers reduce...

Here is what you can do with complete video traceability

Retroactive process validationVideo-based inspectionValidating warranty claimsDetermine the parameters and scope of a recall

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WHITEPAPERS

Beyond Inspection: Rethinking the role of video in manual assembly

Drishti’s customer experience team shares observations from the factory floor

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WHITEPAPERS

The State of Human Factory Analytics

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WHITEPAPERS

New best practices: Optimizing the manual assembly process in medical device manufacturing

Tips for medical device manufacturers to totally crush the manual assembly process and create new, current extraordinary manufacturing practices.

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WHITEPAPERS

How Drishti benefits line associates

Drishti is used on manual assembly lines to create a continuous dataset from activities performed by people.

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WHITEPAPERS

451 Research on Drishti

Drishti uses computer vision to bring continuous improvement across production lines.

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DATASHEETS

Drishti for Manufacturers

For the first time, manufacturers have complete visibility into work performed by people.

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AUTHORS

Sharon Weaver

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BLOG

Introducing Drishti Education

Sharon Weaver

For anyone in the software industry, we know one thing to always be true: It is adoption that...

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BLOG

Thinking long: Prasad Akella on Drishti’s new CEO, Gary Jackson

Prasad Akella

You may have seen Drishti’s big news: I have transitioned to Chairman of the Drishti Board and Chief...

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WHITEPAPERS

Why AI is Critical to Turbocharging Lean Efforts

“Digital lean” is the next evolution of the lean methodology. For the first time in manufacturing history, AI gives manufacturers a way to capture data on manual assembly at scale.

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VIDEOS

Teaching an old manufacturer new tricks: Drishti & ZF at the Leadership Garage

In this webinar, Scott Cameron from ZF and Dave Prager from Drishti discuss the tensions and opportunities presented when an established manufacturer embraces startup technology.

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PAGES

Drishti 보안 및 개인 정보 보호

세계 최고 수준의 제조업체로부터 신뢰받는 제품 강력한 보안 프로파일동급 최고의 클라우드 인프라엔터프라이즈급 개인 정보 보호 제어

확실을 가지고 Drishti 구축 및 확장하세요. 안전한 액세스로 보호 제공 포털 승인에 대한 최소 권한 모델다중 인증세분화된 감사...

손실 방지 및 복구를 위한 최고 표준의 데이터 보호 시스템 감시다층 이중화3배속 데이터 복제고가용성 데이터베이스

당신의 직원을 보호하세요 올바른 방법으로 처리된 개인정보를 통해 규정 준수를 유지하세요. 전 세계 규정 준수를 다루는 개인 정보...

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WHITEPAPERS

Top 6 ways to use video on your assembly lines

Learn how video improves the effectiveness of everyone who works on the line: Supervisors, process designers, product designers, engineers, quality teams, and even the line operators themselves.

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WHITEPAPERS

Top 6 ways to use video on your medical device assembly lines

Learn how video traceability speeds and improves decision-making on medical device assembly lines.

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VIDEOS

AI-powered production on Ford's manual assembly lines

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BLOG

Drishti’s new look: An indulgence-free introduction

Whenever a company rebrands itself, the same pattern is ritualistically repeated: The marketing VP publishes a self-absorbed blog...

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BLOG

Drishti Rewind helps keep line associates safe

Dalia Pena

Recently, I was chatting with one of our continuous improvement advisers, and he shared a great story from...

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BLOG

Manufacturing and AI: A look ahead at an industry ripe for disruption

Ramana Tadepalli

Recently, Drishti’s CTO & Co-founder Dr Krishnendu Chaudhury, one of the world’s leading computer vision and deep learning...

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AUTHORS

Ramana Tadepalli

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BLOG

Why data drives the next industrial revolution and how it impacts the design process

Prasad Akella

Each industrial revolution — from Industry 1.0 to Industry 4.0 — was driven by the creation and adoption...

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BLOG

Drishti at your service for daily and weekly business intelligence

Ananth Uggirala

I think about new ways to present data fairly often and it’s no wonder — I create software...

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AUTHORS

Ananth Uggirala

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PAGES

Lean, assembly and AI: Recommended reading

Want to understand how AI is driving change on assembly lines? Here are some key articles about quality...

Bonus read: How AI will disrupt manufacturing Drishti’s CTO talks about practical applications of computer vision technology and...

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BLOG

My view from the assembly line

Darren Jones

I spent two full days on a manual assembly line recently. I was struck by a number of...

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BLOG

Humans or automation: For now, it’s both

Prasad Akella

Since the first robot was installed on an assembly line in 1962, manufacturers have been debating whether to...

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AUTHORS

Darren Jones

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VIDEOS

Where digital meets lean

In this webinar, six internationally known manufacturing leaders have come together to share their stories from the front lines of lean transformation and Industry 4.0 technology.

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BLOG

Introducing the “right to affordable repair”

Prasad Akella

Right to repair is the idea that customers should be able to repair any purchased hardware from any...

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BLOG

Assembly's future: Reducing the cost of quality even as we improve quality

Prasad Akella

Defect rate benchmarks have been evolving in assembly operations for quite some time. Forty years ago, most factories...

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BLOG

Using technology to encourage scientific thinking in three easy steps

Dave Berg

The Toyota Production System (TPS), the gold standard of manufacturing, is at the forefront of a digital renaissance....

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AUTHORS

Dave Berg

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PAGES

Media Resources

We appreciate your interest in Drishti.  Please review the guidelines for Drishti's brand resources before using them.

Vertical Logo Web Versions: SVG PNG Please refrain from using Drishti logos in a way that implies a relationship...

Horizontal Logo Web Versions: SVG PNG Please refrain from using Drishti logos in a way that implies a...

Correct Logo Spacing Please keep clearspace / padding around the logo, the equivalent of the small "bar" of...

Drishti Brand Colors #0092FF #FF9914 #1F4F7D #37D08D #252F3F ...

Executive Bios Proceed to Bios Press Releases Read Current Press

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BLOG

Labor shortage? Add brains instead of bodies

One of the most pervasive trends across manufacturing is the crippling labor shortage. Not only is it reflected...

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BLOG

Lean and data: Two journeys on the path to lean leadership

Prasad Akella

It’s not easy to be a lean leader. To be a lean leader, companies can’t stop at lean;...

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BLOG

Mistake-proofing medical device assembly with video-based standardized work

Taylor Allison

When manufacturing medical devices, errors and defects are a non-starter. Not only can a defect result in massive...

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AUTHORS

Taylor Allison

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BLOG

Innovations at Drishti: Unleashing the power of deep learning and video analytics

Ananya H.A.

Have you ever watched a task performed over and over for hours? It doesn’t take long before you...

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AUTHORS

Ananya H.A.

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BLOG

Manufacturing adaptability depends on people

Erin Caldwell

Manufacturing is massive. The industry permeates every corner of our lives: the things we as consumers buy, use...

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WHITEPAPERS

Survey Report: Manufacturing depends on the adaptability of people

Learnwhat manufacturers across verticals perceive as their top threats in a post-pandemic world.

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BLOG

In medical device manufacturing, human workers drive future adaptability

Taylor Allison

I’ve been working with clients in the medical device manufacturing space for a few years now, and repeatedly...

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BLOG

The BIG gap in digital twin technology: Assembly operations

Prasad Akella

Digital twins combine all the best elements of a simulation, 3D CAD model, bill of materials and data...

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PAGES

Drishti in Real Time

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PAGES

Global Career Opportunities

Discrete manufacturing is still using 100-year-old techniques to gather data on human actions inside factories. Our solution solves...

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BLOG

Will 2022 herald the end of pilot purgatory for AI and IoT?

Prasad Akella

2022 is in sight, and AI is finally hitting the mainstream. (That it has been almost 35 years...

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VIDEOS

How to Operationalize Data for Industry 4.0

In this webinar, six internationally known manufacturing leaders have come together to share their stories from the front lines of lean transformation and Industry 4.0 technology.

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CAREERSBLOG

Drishti's three guiding principles

When I founded Drishti in 2016, I knew it was important to map out what mattered most to...

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BLOG

Elevate standardized work with Drishti Work Definition

Avinash Devulapalli

Stability may seem like a remote concept given the current economic turmoil. We recently surveyed manufacturers to understand...

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AUTHORS

Avinash Devulapalli

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CAREERSBLOG

Drishti: Startup experience, enterprise benefits

Drishti is five years old now, and as we mature, we’re providing more benefits and perks to our...

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AUTHORS

Srida Joisa

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CAREERSBLOG

Fun night at Drishti: Trivia and feats of strength bring teams together

Working with the brilliant team at Drishti is a thrill for many reasons — the collective intelligence of...

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BLOG

Challenges in using data in the manufacturing environment (webinar recap part 1)

Prasad Akella

Last month, I hosted a webinar with Jim Little, vice president with Simpler Consulting, an IBM company; and...

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PAGES

Release Notes

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PAGES

Trust at Drishti

We’ve earned the trust of some of the world’s most advanced manufacturers We continue to win customers’ business...

Following standards you depend on From information and cloud security to privacy information management, we comply with world-wide...

Safeguarding your data from the inside out Deploy Drishti with certainty

Drishti builds privacy and security into its product for comprehensive protection. Drishti SaaS infrastructure is hosted on Google...

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RELEASENOTES

New Workflow: Create work definitions

Create and maintain Drishti Work Definitions with instant video from the line Drishti Work Definition provides engineers and...

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AUTHORS

Drishti Product Team

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RELEASENOTES

Annotation: Add observation notes

Add tags and notes directly from the Drishti Annotate page You can now save comments alongside your annotation...

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RELEASENOTES

User Experience: Administration of portal set up

Guided Drishti Portal setup and configuration for system administrators New administration features give Drishti customer administrators key details...

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RELEASENOTES

Security: Support for single sign-on

Use one set of credentials and save time accessing Drishti, securely Drishti authentication can now be managed alongside...

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RELEASENOTES

Cycle detection: Measure work time on moving lines

Analyze actual work time on all Drishti reports for moving linesCreate opportunities for deeper cycle analysis on moving...

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RELEASENOTES

Privacy & Security: Audit Logs

Audit Logs Ensure the data in your Drishti Portal is accurate and supports your day-to-day activities, avoiding mistakes...

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RELEASENOTES

Cycle & Action Detection: On-demand AI

On-demand AI Use your historical data for ad hoc or regular shift-by-shift analysis. Drishti now gives you options...

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BLOG

Here's how to avoid DRIP environments with leadership buy-in (webinar recap part 2)

Prasad Akella

Recently, we hosted a webinar on operationalizing data for Industry 4.0 with Jim Little, vice president with Simpler...

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RELEASENOTES

Analytics: Drishti Reporting Service Enhancements

Enhancing our delivery process for scale

Requests for our daily and weekly reports are picking up and we continue to streamline their delivery as...

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RELEASENOTES

Improvements & Fixes Roundup for December 2021

Greater visibility into the what, when and who on your line Here's a quick wrap up to 2021...

See all outlier cycles No more hiding, we're giving you full visibility. You can now select a filter...

Know who tagged what You can now filter videos by the person who created tags for them. Find...

Create charts from multiple data sources Are you using both AI and Drishti annotation for your line analytics?...

Improve reporting with cycle time metrics during break times

We know that all work doesn't stop when it's break time, so by popular request, we no longer...

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CAREERSBLOG

How a Drishti internship positions you for a solid deep tech career

Internships have opened doors of opportunity for recent graduates around the world for years, providing a way for...

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AUTHORS

Arvind Saraf

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WHITEPAPERS

New Technology for Standardized Work

In our standardized work eBook, we deep dive into standardized work, how to create it, and how to bring it into Industry 4.0 and beyond using new technology.

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BLOG

Building new tech with new tech: How AI helps smooth the shift to EVs

Erin Caldwell

I had big plans automotively this year. My 2019 MINI Cooper lease was ending, and I was excited...

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BLOG

Problem definition on the path to lean maturity (webinar recap part 3)

Prasad Akella

Recently, we hosted a webinar on operationalizing data for Industry 4.0 with Jim Little, vice president with Simpler...

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CAREERSBLOG

Here’s how Drishti is building action recognition (MLDS 2022 recap)

I recently presented on behalf of Drishti at the Machine Learning Developers Summit (MLDS). Drishti is excited about...

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AUTHORS

Devashish Shankar

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VIDEOS

MLDS 2022

In this webinar, six internationally known manufacturing leaders have come together to share their stories from the front lines of lean transformation and Industry 4.0 technology.

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LANDINGPAGES

デモを依頼する

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VIDEOS

Breakthrough innovations in video analytics

Watch Drishti's webinar “Breakthrough Innovations in Video Analytics”. Our speakers - Cibi Aananth (MTS), Kirti Goel (Senior UX designer), Devashish Shankar (Principal Architect), and Chirag Ravindra (UI Lead) highlighted the latest technology in video analytics.

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BLOG

Diversifying the tech world: A conversation with two Drishti VPs

Though the presence of women in technology fields is growing, only about 33% of tech workers are female....

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AUTHORS

Gary Jackson

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AUTHORS

Krishnendu Chaudhury

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AUTHORS

Ashish Gupta

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AUTHORS

Marie Alexander

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AUTHORS

Tim FitzGerald

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AUTHORS

Scott Foote

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AUTHORS

Jerald Ray

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AUTHORS

Matt Durante

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BLOG

Are all improvement methods created equal? A primer on lean systems

Matt Durante

Every business searches for systems to make its people more productive and efficient. As a business grows, so...

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CAREERSBLOG

Drishti named one of America's Best Startup Employers 2022 by Forbes

Drishti has been named one of the best startup employers in America by Forbes. It is an honor...

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BLOG

Which lean methodology is best for your organization?

Matt Durante

In our last post, we described many of the major accepted systems of lean methodologies and their core...

All of the methods of lean manufacturing have great benefits. While they are not all the same, they...

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AUTHORS

Manasi KG

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CAREERSBLOG

Employee Spotlight: Dr Krishnendu Chaudhury, Co-Founder, and Chief Technology Officer at Drishti

Dr. Krishnendu Chaudhury (aka Krish), co-founder and CTO at Drishti, is one of the world’s foremost computer vision...

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RELEASENOTES

Video: view cycle, tag and serial number search results in a station grid view

Get a full-line view of any issue, so problems are understood quickly Observations made while walking the entire...

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PAGES

드리슈티 솔루션

Drishti는 AI와 컴퓨터 비전을 활용해 제조업체에 수동 조립에 대한 세분화된 공정 데이터를 제공해 제조 운영 상황을 시스템 전반에서...

사이클 감지 Drishti는 자동으로 사이클 시간을 측정하고 활동 패턴을 인식하여 짧거나, 길거나, 그렇지 않으면 비정상적인 주기를 감지할 수...

동작 감지 Drishti는 제조업체가 조립 공정에서 중요한 단계를 측정하고 모니터링하는 데 도움이 되며, 단계를 건너뛰거나 순서대로 수행되지...

실시간 비디오 Drishti의 솔루션에서 "컴퓨터 비전" 은 라인의 모든 구역에서 실시간 비디오를 스트리밍한다는 것을 의미합니다. 실시간으로 볼 필요가...

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PAGES

라인 레벨을 위한 Drishti

Drishti를 사용하면 라인 관리자가 병목 현상이 발생할 때 신속하게 식별할 수 있습니다. Drishti의 관리자를 위한 실시간 생산...

비디오 기반 데이터 포인트를 사용하면 어떠한 길고 짧은 주기도 즉시 정밀 조사할 수 있으며, 누락 단계, 자재 흐름...

라인 관리자는 교대조 내에서 스테이션이 감속하는지 또는 목표 사이클 시간에 시간내에 실행되는지 여부를 알 수 있습니다. 그들은 근로자들이...

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PAGES

엔지니어링 팀을 위한 Drishti

Drishti는 산업 공학의 번거로운 부분인 시간 연구를 맡아 이를 자동화합니다. 즉, 당신의 엔지니어들이 생산 데이터를 평가하고 생산 라인을...

엔지니어들은 병목 스테이션, 불균형 라인, 자재 흐름 문제, 스테이션 구성 문제 등 숨겨진 생산성 향상 기회를 발견하기...

Kaizen 지속적인 개선 이벤트를 진행해야 하나요?  Drishti는 이벤트 몇 주 전부터 면밀히 데이터를 수집하는 대신 해당 시간 동안...

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PAGES

품질 팀을 위한 Drishti

品質チームは、組立における不良の根本原因を追跡するために、何日も、何週間も、あるいは何ヶ月も費やしています。Drishtiを使用すれば、根本原因の分析プロセスを数分にまで短縮し、封じ込めや管理方法の改善に活用することができます。 Drishtiのビデオバックアップデータを使用することで、品質管理チームはサイクルの異常をチェックし、サイクルの長短の原因がユニットの品質に影響を与える可能性があるかどうかを迅速に確認することができます。その場合、品質管理エンジニアは、すべてのステーションの録画ビデオを使用して、ユニットのシリアル番号ですばやく検索し、ステーションごとに生産ライフサイクル全体を監視して、いつ、どこで欠陥が発生したかを正確に判断することができます。

전체 로트를 폐기하는 대신, 부서는 다른 비디오를 보고 같은 문제가 있는지 확인하고 불량품만 분리하여 폐기 또는 재가공함으로써 시간,...

디지털 포카 요케(오류 방지) 또한 Drishti는 불량품의 탈출률을 낮추는 데에도 기여하고 있습니다. 드리슈티는 지속시간이나 순서에 관계없이...

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PAGES

플랜트 관리를 위한 Drishti

Drishti를 도입한 각 라인은 생산량과 생산 품질의 양면에서 명확한 우위를 가지고 있습니다. 공장의 모든 라인에서 이러한 이익을 얻을...

Drishti는 명확한 경쟁 우위를 제공할 뿐만 아니라 효율성, 품질, 노동력 최적화 및 교육 필요성에 대한 중요한 플랜트...

Drishti의 비디오 기반 문서 및 협업 도구를 사용하면 객관적인 성능 증거와 함께 주요 메트릭을 자동으로 공유할 수...

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서비스 및 컨설팅

Drishti는 자체 솔루션 외에도 숙련 된 제조 전문가 팀을 제공하여 고객의 도입 사업이 최대한 원활하게 진행될 수 있도록...

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동작 인식이란 무엇인가?

때때로, 현상을 근본적으로 바꾸는 새로운 기술이 등장합니다. 오늘날 제조업계에서 그 기술은 Drishti의 동작 인식입니다.

전통적인 물체 인식은 2차원으로 프레임을 식별하고, 엔진 옆에 서 있는 사람의 사진을 식별할 수 있습니다. 한편,...

Drishti는 연속적으로 실행되며 한 라인의 모든 사이클에서 이 수준의 데이터를 무한정 수집합니다. Drishti가 등장할 때까지 제조업체들은...

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RELEASENOTES

Analytics: daily reports delivery & variability trends

Enhanced daily report makes benchmarking consistent

A couple of new enhancements to our Drishti Reporting Service is going to make understanding day-to-day variability, balance...

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RELEASENOTES

Gemba & Search: Zoom into Videos

Get all the details

Sometimes, you need to take a closer look. If your products have complex processes, the extra detail...

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RELEASENOTES

Improvements & Fixes Roundup for July 2022

Keeping Drishti easy to use Here’s a quick wrap up to the last three months of improvements for...

Japanese Language Support As Drishti continues to expand globally, we want to ensure ease of use for all...

Improved Visual Consistency We have polished the Drishti Portal to improve navigation. You will now see a new...

Support for Work Definition Analytics Just as our AI models need to remain reliable and consistently reflect current...

Contextual Video Tutorials Accessing Drishti Education’s engaging and comprehensive learning library has never been easier. On any page,...

Tagged Anomalies Duration Tab The Drishti Tagged Anomalies chart was previously launched displaying only the frequency. Each anomaly...

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RELEASENOTES

Analytics: New Standardized Work Combination Table (SWCT)

Understand all the details of standardized work for better process improvements Drishti now provides an official Standardized Work...

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RELEASENOTES

Drishti Setup: Device Setup Pages

Easily manage your devices with a centralized setup page As you begin to deploy Drishti across...

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BLOG

Empowering the future of work with video collaboration

Ananth Uggirala

It’s probably not news that the number of people you rely on every day to shepherd production is...

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Tribal Knowledge is the Enemy of the Growing Organization

Prasad Akella

As an organization grows it hits a few natural pain points. Growth is a good thing, but oftentimes...

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社会の各個人及

人類社会のすべての構成員の固有の尊厳と平等で譲ることのできない権利とを承認することは、世界における自由、正義及び平和の基礎であるので、 人権の無視及び軽侮が、人類の良心を踏みにじった野蛮行為をもたらし、言論及び信仰の自由が受けられ、恐怖及び欠乏のない世界の到来が、一般の人々の最高の願望として宣言されたので、 人間が専制と圧迫とに対する最後の手段として反逆に訴えることがないようにするためには、法の支配によって人権を保護することが肝要であるので、 諸国間の友好関係の発展を促進することが肝要であるので、国際連合の諸国民は、国連憲章において、基本的人権、人間の尊厳及び価値並びに男女の同権についての信念を再確認し、かつ、一層大きな自由のうちで社会的進歩と生活水準の向上とを促進することを決意したので、 加盟国は、国際連合と協力して、人権及び基本的自由の普遍的な尊重及び遵守の促進を達成することを誓約したので、 これらの権利及び自由に対する共通の理解は、この誓約を完全にするためにもっとも重要であるので、 よって、ここに、国連総会は、 社会の各個人及び各機関が、この世界人権宣言を常に念頭に置きながら、加盟国自身の人民の間にも、また、加盟国の管轄下にある地域の人民の間にも、これらの権利と自由との尊重を指導及び教育によって促進すること並びにそれらの普遍的措置によって確保することに努力するように、すべての人民とすべての国とが達成すべき共通の基準として、この人権宣言を公布する。

人権及び基本的自由の普遍的な尊重及び遵守の促進を達成することを誓約したので、 これらの権利及び自由に対する共通の理解は、この誓約を完全にするためにもっとも重要であるので、 よって、ここに、国連総会は、 社会の各個人及び各機関が、この世界人権宣言を常に念頭に置きながら、加盟国自身の人民の間にも、また、加盟国の管轄下にある地域の人民の間にも、これらの権利と自由との尊重を指導及び教育によって促進すること並びにそれらの普遍的措置によって確保することに努力するように、すべての人民とすべての国とが達成すべき共通の基準として、この人権宣言を公布する。

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CAREERSBLOG

Employee Spotlight: Erin Caldwell - VP Marketing at Drishti

Erin Caldwell is the VP of marketing at Drishti. Known for her diligence and focus, Erin has been...

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DATASHEETS

Security & Privacy with Drishti

Safeguarding manufacturing data in the cloud.

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BLOG

Ironically, standardization actually drives creativity

Prasad Akella

I’ve worked in many professional settings and have worn many hats, from sales to the most technical of...

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AUTHORS

Tim Coleman

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EVENTS

How new tech evolves standardized work

Register today! Wednesday, July 13, 2022 1 p.m. EDT

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RELEASENOTES

Usability: Drishti homepage & product nomenclature

Get a daily summary of your line performance

As a Drishti customer, you need to know the current status of your lines and how the Drishti...

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Workers are our allies: How Drishti builds trust at the line level

Tim Coleman

Drishti works with some of the largest and most mature lean manufacturers in the world with well-established processes...

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VIDEOS

How new tech evolves standardized work

Watch Drishti's webinar “How new tech evolves standardized work” as we discuss the foundations of standardized work, how it was redefined by Toyota and how new technologies drive continuous improvement across all manufacturing.

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BLOG

The Evolution of Standardized Work

Dalia Pena

Standardized work is the cornerstone of any lean methodology, so many manufacturers might not realize that the concept...

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BLOG

Work instructions ≠ standardized work

Diana Fierro

We at Drishti have seen many different lean manufacturing implementations. Usually, standardized work is the foundation of the...

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Terms matter: Drishti in a standardized work world

Aprameya Manjunath

When a new technology or methodology is introduced to a business, adoption can be challenging. You need people...

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AUTHORS

Aprameya Manjunath

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BLOG

Continuous improvement means never achieving “perfect”

Aldo Corona

Continuous improvement is a neverending process of iterative progress. In lean manufacturing, continuous improvement is worked into the...

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AUTHORS

Aldo Corona

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Continuously improving materials and information flow

Primo Garcia

In systemizing standardized work, we are ensuring that the processes defined within an organization, particularly a production line,...

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Using standardized work as a basis for quality improvement

Sandeep Abraham

Quality measurement in manufacturing requires scientific thinking. Products and processes need to be measurable and comparable in order...

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AUTHORS

Sandeep Abraham

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Standardized work puts people at the center of the process

Praveen Kumar

Mature organizations seek to streamline their practices and ensure that people are able to focus on the work...

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AUTHORS

Praveen Kumar

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CAREERSBLOG

Employee Spotlight: Dave Berg - Vice President, Product Strategy at Drishti

Dave Berg is the vice president of product strategy at Drishti. He is a seasoned executive with more...

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Comics and Infographics

Understand in more detail the impact of Drishti and AI on lean manufacturing and manual assembly with these comics and infographics.

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RELEASENOTES

New Workflow: Assign video collaboration tasks

Empower the people at the center of production to be more productive and to maximize business impact Drishti Video...

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Manufacturing Technology from Manufacturing Experts

Marie Alexander

At Drishti, we pride ourselves in being able to speak the language of our customers. Our product is...

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Making manufacturers' secret weapons - people - even more potent

Primo Garcia

The line worker has a crucial yet difficult role. The goal of the manufacturer is to build and...

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CAREERSBLOG

Employee Spotlight: Arvind Saraf, VP - Engineering at Drishti

Arvind Saraf is an experienced engineering leader and entrepreneur trained at IIT, MIT and Google. Skilled in building...

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RELEASENOTES

Analytics: Drishti API Documentation

Integrate Drishti’s unique data into your existing analytics systems for powerful insights As Drishti customers and partners, you...

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RELEASENOTES

Analytics: Custom Dashboards & Reports

Tailor Drishti data to meet your needs As Drishti’s customer base expands we understand the need...

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RELEASENOTES

Analytics: Cycle threshold filter

Make decisions with the right variability and line balance information We know that process decisions based on huge...

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RELEASENOTES

Analytics: Production Trend Forecast

Make scheduling decisions with ease using live forecasting It can be difficult to quickly and accurately predict...

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RELEASENOTES

Improvements & Fixes Roundup for March 2022

Interface improvements to enhance your Drishti experience Here’s a quick wrap up to the first three months of...

New global navigation barWe’ll be adding some great new functionality this year and we need to reserve some...

Spanish language supportDrishti now supports Spanish for all menus and screens displaying analytics and video. Depending on portal...

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RELEASENOTES

Action detection: subscribe to alerts

Stay on top of action detection warnings and errors by shift

If you are currently getting AI anomaly reporting for warnings or errors in the Drishti Portal, you can...

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RELEASENOTES

Analytics: daily report summaries

Enhanced daily analytics for deeper insights

We heard you and have incorporated feedback to enhance our reporting with better categorization and summaries. Our most...

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VIDEOS

Rethinking ROI in Manufacturing

Watch Drishti's webinar “Rethinking ROI in Manufacturing” as we discuss how manufacturers tend to calculate ROI when it comes to new technology, and how to shift the mindset to fully evaluate all metrics impacting ROI.

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The problem with the current manufacturing ROI model

Matt Durante

Recently, Drishti hosted a webinar on rethinking ROI in manufacturing. Steve Shepley, principal at Deloitte Consulting, and Brian...

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Capturing value with a new manufacturing ROI model

Matt Durante

Drishti recently hosted a webinar on rethinking ROI in manufacturing. In part 1 of our recap, we discussed...

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自動車OEMSとサプライヤー

自動車業界のトップ企業は、どのようにDrishtiを活用しているのでしょうか。私たちの技術が実際の現場でどのように機能しているのか、お客様からのインサイトを集めました。

自動車の組み立てラインが成功するかどうかは、2つの重要な要素に左右されます。 新製品·新プロセスのテストと新市場への参入の迅速化PPM不良率ゼロを維持したままコスト低減を実現 Drishtiはその両方を実現します。 自動車業界において、Drishtiがマニュアル組立ライン全体(組織全体の各ステーションから)を包括的に表示し、何が起きたのか、なぜ起きたのかを即座に把握できるようにした方法をご覧ください。

HELLA:世界的な自動車部品サプライヤー HELLAは、完全に最適化されていると思われるラインにDrishtiを導入しました。10週間後、HELLAのチームメンバーは、Drishtiを使って新たな改善点を発見しました。 導入事例を見る

Drishtiは、意思決定を向上させるAIを活用した生産を推進します。 自動化されたラインでは、常に多くのデータが生成されています。手動生産ラインの組立データ収集プロセスも自動化できるようになりました。 Drishtiは、路線上のすべての駅のデータを収集するカメラで、1サイクルごとにキャプチャし、そのすべてのデータポイントのビデオを保存して、すばやく検索して取り出せるようにします。

包括的なレポート 独自のAIモデルにより、映像データをあらゆるサイクルで分析し、インサイトに変換し、お客様にプッシュします。 ボトルネックの特定と是正標準的な作業の逸脱を発見し、修正する品質管理、ライン社員の教育 Drishtiを使用すると、継続的な改善プロセスにおいて、これまでにない量と精度で詳細なサイクルタイムデータを受け取ることができます。 自動車メーカーは、収集したデータや管理する「カイゼン」イベントに制限されることなく、ラインを最適化することができるようになりました。

その他の自動車関連ケーススタディ

自動車メーカーとサプライヤーのメリット 産業エンジニア、製造チーム、品質担当者、およびそのラインアソシエイトに、必要な分析機能を提供します。 不良品の削減標準作業遵守率の向上ボトルネックの特定と変動要因の特定カイゼン活動を加速させ、その効果を高める。ラインアソシエイトへのトレーニングの充実根本原因分析の改善と問題発見までの時間短縮NPIプロセスの高速化

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COMICSANDINFOGRAPHICS

Drishti Chronicles: Part Three

In the latest episode of the Drishti Chronicles, with the threat of a recall looming, Alexis helps Darrel get to the root cause of a returned product defect using Drishti

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COMICSANDINFOGRAPHICS

Drishti Chronicles: Part Two

In this episode, an inexplicable deviation slows down the line. Learn how Drishti comes to the rescue and solves the mystery.

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COMICSANDINFOGRAPHICS

Drishti Chronicles: Part One

In this episode, a rock slide prevents visibility on the shop floor. Learn how Drishti keeps the line moving and saves the day.

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COMICSANDINFOGRAPHICS

Adaptability relies on people

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COMICSANDINFOGRAPHICS

External Threats to Manufacturing

Drishti surveyed 400 manufacturers around the globe to understand the external threats they face going into 2022. From natural disasters to supply chain disruptions to climate change, manufacturers have a number of potential issues on their radar. Here's how the data breaks down.

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BLOG

Readying the organization for change

Marie Alexander

Change is difficult because it is behavioral, regardless of the reason. Investing in technologies like Drishti can help...

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COMICSANDINFOGRAPHICS

Drishti Chronicles: Part Four

In the latest Drishti Chronicle, Marissa can’t figure out why her new production line is slowing even though it’s nearly identical to the other products. Learn how Alexis helps Marrisa solve the mystery and get things up to speed using Drishti.

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WHITEPAPERS

The Line Worker: A Manufacturer's Greatest Asset

Manufacturing needs workers — over 72% of all assembly tasks are still done by hand. Read the free eBook today.

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EVENTS

Attracting, training and retaining manufacturing talent with new tech

Register today! Wednesday, October 19, 2022 at 1 p.m. EDT

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BLOG

Getting workers to collaborate in problem solving the right way vs the fast way

Prasad Akella

For a large manufacturer, everything is time-sensitive — production deadlines, project deadlines, ship dates, resolution dates, forecasts and...

For a large manufacturer, everything is time-sensitive — production deadlines, project deadlines, ship dates, resolution dates, forecasts and...

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BLOG

Nobody likes a bottleneck: Detecting production slowdowns

Aldo Corona

Keeping the assembly line flowing smoothly is a manufacturer’s constant challenge. But even the most mature lean manufacturers...

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COMICSANDINFOGRAPHICS

Hiring in manufacturing

Recruiting good help is harder than ever. Drishti conducted a survey of 500 entry level workers both in and out of the manufacturing industry to find out what the perception of manufacturing really is, and how to compete in a sea of “help wanted” signs.

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RELEASENOTES

Drishti Setup: Line AI Video Sets

Get reliable AI-based analytics when you need them How and when critical information on bottlenecks, variability and quality...

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RELEASENOTES

Cycle & Action Detection: data quality feedback

Flag an issue and improve your Drishti data If there’s ever a question about how your cycle and...

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RELEASENOTES

Reports: problem-solving & improvements

Putting Drishti Analytics to work just got easier with Improvement Reports Our Reports menu has a fresh new...

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RELEASENOTES

Drishti support: in-portal tickets

Building continuity into Drishti support Reporting software issues shouldn’t be hard nor should it feel disconnected. Here at...

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RELEASENOTES

Analytics: dynamic filtering & data availability

Using Drishti Analytics just got a whole lot easier

We give you a ton of ways to slice and dice Drishti data. As we add more useful...

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RELEASENOTES

Cycle & Action Detection: Real-time APIs

Integrate and develop with Drishti real-time data

Drishti is now providing our customers and partners with real-time APIs. These documented APIs will allow your technical...

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RELEASENOTES

Improvements & Fixes Roundup for October 2022

Configure, setup and discover more Here’s a quick wrap up to the last few months of improvements. We’ve...

Drishti SearchRankDrishti Analytics and reports are a good way to see outlier (long and short) cycle videos that...

Update “Self study” to “Time / Motion study” In order to communicate more clearly about our video time...

Multi-language support for user inputs + Korean & Chinese localizationWe are now supporting localization of all inputs to...

Configure devices for real-time Drishti Alert feedback We’re making the deployment of Drishti Alerts hardware easier. Now your...

Add holidays to Drishti Setup Complete your working schedules with our new Holidays tab. You now have the...

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BLOG

Continuous process verification - no longer a myth?

Dalia Pena

In manufacturing, we attempt to control as many variables as possible in order to limit the number of...

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BLOG

The brilliance of single-piece flow: The allegory of the cakes

Prasad Akella

This past weekend, I had two sets of nephews visit us. Teenagers, I know from personal experience, are...

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BLOG

The brilliance of single-piece flow: The allegory of the cakes

Prasad Akella

This past weekend, I had two sets of nephews visit us. Teenagers, I know from personal experience, are...

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VIDEOS

How new tech evolves standardized work

Watch Drishti's webinar “How new tech evolves standardized work” as we discuss the foundations of standardized work, how it was redefined by Toyota and how new technologies drive continuous improvement across all manufacturing.

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RSS

RSS

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COMICSANDINFOGRAPHICS

Drishti Chronicles: Part Four

In the latest Drishti Chronicle, Marissa can’t figure out why her new production line is slowing even though it’s nearly identical to the other products. Learn how Alexis helps Marrisa solve the mystery and get things up to speed using Drishti.

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BLOG

The brilliance of single-piece flow: The allegory of the cakes

Prasad Akella

This past weekend, I had two sets of nephews visit us. Teenagers, I know from personal experience, are...

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DATASHEETS

Drishti for Manufacturers

For the first time, manufacturers have complete visibility into work performed by people.

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VIDEOS

How new tech evolves standardized work

Watch Drishti's webinar “How new tech evolves standardized work” as we discuss the foundations of standardized work, how it was redefined by Toyota and how new technologies drive continuous improvement across all manufacturing.

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PAGES

RSS Feed

Manufacturing on the Micwith Drishti Can’t get enough manufacturing with Drishti? Want to hear more about how manufacturers...

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BLOG

The brilliance of single-piece flow: The allegory of the cakes

Prasad Akella

This past weekend, I had two sets of nephews visit us. Teenagers, I know from personal experience, are...

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COMICSANDINFOGRAPHICS

Drishti Chronicles: Part Four

In the latest Drishti Chronicle, Marissa can’t figure out why her new production line is slowing even though it’s nearly identical to the other products. Learn how Alexis helps Marrisa solve the mystery and get things up to speed using Drishti.

더 읽어보기

BLOG

The brilliance of single-piece flow: The allegory of the cakes

Prasad Akella

This past weekend, I had two sets of nephews visit us. Teenagers, I know from personal experience, are...

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RSSCONTENT

Capturing value with a new manufacturing ROI model

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RSSCONTENT

Continuous process verification - no longer a myth?

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RSSCONTENT

Modernizing the genba to demystify the factory floor

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RSSCONTENT

Getting workers to collaborate in problem solving the right way vs the fast way

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RSSCONTENT

How to generate data with purpose

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RSSCONTENT

Making manufacturers' secret weapons - people - even more potent

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RSSCONTENT

Nobody likes a bottleneck: Detecting production slowdowns

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RSSCONTENT

The problem with the current manufacturing ROI model

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RSSCONTENT

Attracting, training and retaining manufacturing talent with new tech

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RSSCONTENT

How new tech evolves standardized work

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RSSCONTENT

Rethinking ROI in Manufacturing

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BLOG

Training the future workforce

Erin Caldwell

Drishti recently convened a panel of experts to discuss the challenges of attracting, training, engaging and retaining the...

She adds that In a world where we look up videos on YouTube and TikTok, there is less...

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