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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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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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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...
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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...
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Events
Here's what's coming up in the world of AI-assisted manufacturing.
더 읽어보기AUTHORS
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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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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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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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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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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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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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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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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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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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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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...
더 읽어보기AUTHORS
Jake Summers
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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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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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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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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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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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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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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...
더 읽어보기AUTHORS
Erin Caldwell
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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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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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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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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...
더 읽어보기AUTHORS
Dalia Pena
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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...
더 읽어보기AUTHORS
Micki Collart
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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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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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"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...
더 읽어보기AUTHORS
Primo Garcia
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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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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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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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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...
더 읽어보기AUTHORS
Diana Fierro
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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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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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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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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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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...
더 읽어보기AUTHORS
Sandeep Nagaraju
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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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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...
더 읽어보기AUTHORS
Arjun Salwan
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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...
더 읽어보기AUTHORS
Jonathan Conlin
더 읽어보기COMMONQUESTIONS
Who manages Drishti, and who uses it?
더 읽어보기COMMONQUESTIONS
My line has a lot of people on it. How can Drishti help?
더 읽어보기COMMONQUESTIONS
How will my line associates react to having cameras installed over their heads?
더 읽어보기COMMONQUESTIONS
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?
더 읽어보기COMMONQUESTIONS
What does Drishti provide to medical device manufacturers?
더 읽어보기CASESTUDIES
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。
더 읽어보기WHITEPAPERS
The Butterfly Defect
A new framework for calculating the cost of assembly line defects in the face of unpredictable outcomes.
더 읽어보기RECOMMENDED
Resources - Trace
더 읽어보기COMMONQUESTIONS
What type of information and data does Drishti capture on a medical device manufacturing line?
더 읽어보기COMMONQUESTIONS
How does Drishti work with my other systems on the manufacturing floor?
더 읽어보기COMMONQUESTIONS
The biggest consideration for my assembly line is quality. How can Drishti help me?
더 읽어보기COMMONQUESTIONS
Competition in this field is growing, and it’s cutting into my business. Can Drishti help with my market position?
더 읽어보기COMMONQUESTIONS
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?
더 읽어보기COMMONQUESTIONS
How are other medical device manufacturers using Drishti, and what benefits are they seeing that might also show up on my line?
더 읽어보기USECASES
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...
더 읽어보기BLOG
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...
더 읽어보기RECOMMENDED
Resources - Flow
더 읽어보기CASESTUDIES
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,...
더 읽어보기CASESTUDIES
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)...
더 읽어보기CASESTUDIES
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...
더 읽어보기CASESTUDIES
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...
더 읽어보기CASESTUDIES
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...
더 읽어보기VIDEOS
Drishti's vision
A simple question with far-reaching implications: What happens when AI and humans work together on the factory floor?
더 읽어보기VIDEOS
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.
더 읽어보기VIDEOS
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.
더 읽어보기VIDEOS
How AI extends the Toyota Production System featuring Dr. Jeff Liker
더 읽어보기VIDEOS
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.
더 읽어보기VIDEOS
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.
더 읽어보기VIDEOS
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.
더 읽어보기USECASES
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
더 읽어보기USECASES
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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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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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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The State of Human Factory Analytics
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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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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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451 Research on Drishti
Drishti uses computer vision to bring continuous improvement across production lines.
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Drishti for Manufacturers
For the first time, manufacturers have complete visibility into work performed by people.
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Sharon Weaver
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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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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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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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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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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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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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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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AI-powered production on Ford's manual assembly lines
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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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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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Manufacturing and AI: A look ahead at an industry ripe for disruption
Recently, Drishti’s CTO & Co-founder Dr Krishnendu Chaudhury, one of the world’s leading computer vision and deep learning...
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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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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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Ananth Uggirala
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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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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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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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Darren Jones
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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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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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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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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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Dave Berg
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Media Resources
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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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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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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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Taylor Allison
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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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Ananya H.A.
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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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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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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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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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Drishti in Real Time
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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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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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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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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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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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Avinash Devulapalli
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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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Srida Joisa
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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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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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Release Notes
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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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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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Drishti Product Team
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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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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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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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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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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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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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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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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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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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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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Arvind Saraf
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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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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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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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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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Devashish Shankar
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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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デモを依頼する
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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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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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Gary Jackson
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Krishnendu Chaudhury
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Ashish Gupta
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Marie Alexander
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Tim FitzGerald
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Scott Foote
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Jerald Ray
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Matt Durante
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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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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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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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Manasi KG
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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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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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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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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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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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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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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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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...
더 읽어보기RELEASENOTES
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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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...
더 읽어보기RELEASENOTES
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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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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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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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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Security & Privacy with Drishti
Safeguarding manufacturing data in the cloud.
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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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Tim Coleman
더 읽어보기EVENTS
How new tech evolves standardized work
Register today! Wednesday, July 13, 2022 1 p.m. EDT
더 읽어보기RELEASENOTES
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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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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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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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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Aprameya Manjunath
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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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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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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...
더 읽어보기AUTHORS
Praveen Kumar
더 읽어보기CAREERSBLOG
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.
더 읽어보기RELEASENOTES
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...
더 읽어보기CAREERSBLOG
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...
더 읽어보기RELEASENOTES
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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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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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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Analytics: Production Trend Forecast
Make scheduling decisions with ease using live forecasting It can be difficult to quickly and accurately predict...
더 읽어보기RELEASENOTES
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...
더 읽어보기RELEASENOTES
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...
더 읽어보기RELEASENOTES
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...
더 읽어보기VIDEOS
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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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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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.
더 읽어보기COMICSANDINFOGRAPHICS
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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Adaptability relies on people
더 읽어보기COMICSANDINFOGRAPHICS
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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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...
더 읽어보기COMICSANDINFOGRAPHICS
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 읽어보기WHITEPAPERS
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.
더 읽어보기EVENTS
Attracting, training and retaining manufacturing talent with new tech
Register today! Wednesday, October 19, 2022 at 1 p.m. EDT
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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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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...
Keeping the assembly line flowing smoothly is a manufacturer’s constant challenge. But even the most mature lean manufacturers...
더 읽어보기COMICSANDINFOGRAPHICS
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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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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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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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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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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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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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...
더 읽어보기RELEASENOTES
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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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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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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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...
더 읽어보기RSS
RSS
더 읽어보기COMICSANDINFOGRAPHICS
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 읽어보기BLOG
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...
더 읽어보기DATASHEETS
Drishti for Manufacturers
For the first time, manufacturers have complete visibility into work performed by people.
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RSS Feed
Manufacturing on the Micwith Drishti Can’t get enough manufacturing with Drishti? Want to hear more about how manufacturers...
더 읽어보기BLOG
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...
더 읽어보기COMICSANDINFOGRAPHICS
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 읽어보기BLOG
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...
더 읽어보기RSSCONTENT
Capturing value with a new manufacturing ROI model
더 읽어보기RSSCONTENT
Continuous process verification - no longer a myth?
더 읽어보기RSSCONTENT
Modernizing the genba to demystify the factory floor
더 읽어보기RSSCONTENT
Getting workers to collaborate in problem solving the right way vs the fast way
더 읽어보기RSSCONTENT
How to generate data with purpose
더 읽어보기RSSCONTENT
Making manufacturers' secret weapons - people - even more potent
더 읽어보기RSSCONTENT
Nobody likes a bottleneck: Detecting production slowdowns
더 읽어보기RSSCONTENT
The problem with the current manufacturing ROI model
더 읽어보기RSSCONTENT
Attracting, training and retaining manufacturing talent with new tech
더 읽어보기RSSCONTENT
How new tech evolves standardized work
더 읽어보기RSSCONTENT
Rethinking ROI in Manufacturing
더 읽어보기BLOG
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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Priya Verma
더 읽어보기AUTHORS
Priya Verma
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Improving direct labor efficiency
Greg Mathers
There are many key performance indicators (KPIs) that point to the health of an organization. These figures provide...
더 읽어보기AUTHORS
Greg Mathers
더 읽어보기RELEASENOTES
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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New topologies, evolved product-market fit will define manufacturing AI in 2023
Prasad Akella
Traditionally, I’ve taken a look at the previous year’s operations, market observations, technology movements and learnings with an...
더 읽어보기RELEASENOTES
Reports: problem-solving & improvements
Putting Drishti Analytics to work just got easier with Improvement Reports Our Reports menu has a fresh new...
더 읽어보기RELEASENOTES
Reports: problem-solving & improvements
Putting Drishti Analytics to work just got easier with Improvement Reports Our Reports menu has a fresh new...
더 읽어보기RELEASENOTES
Reports: problem-solving & improvements
Putting Drishti Analytics to work just got easier with Improvement Reports Our Reports menu has a fresh new...
더 읽어보기RELEASENOTES
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...
더 읽어보기RELEASENOTES
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...
더 읽어보기RELEASENOTES
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...
더 읽어보기RELEASENOTES
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...
더 읽어보기RELEASENOTES
Reports: problem-solving & improvements
Putting Drishti Analytics to work just got easier with Improvement Reports Our Reports menu has a fresh new...
더 읽어보기