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Drishti 解決方案
Drishti是一家視頻分析公司，利用人工智能和電腦視覺為製造商提供人工裝配的細化過程資料，讓他們對其生產營運有一個全系統的觀念，在操做過程中發覺變異性，並掌控改善的時機。 透過其專利的動作識別技術，Drishti為生產團隊提供關於生產線上每一週期的資訊 和動作完成的完整資料集。 製造商使用Drishti來提高產量，減少浪費和風險，滿足安全和法規要求，並在整個組織內進行更有效的培訓和協作。我們獨特專有 視頻靠著人工智能系統提升了現場人員的反應、傳遞知識和分享想法。 Drishti是一種軟體即服務（SaaS）解決方案。製造商安裝Drishti攝影機，安全地傳輸視頻，然後我們專有的神經網路創建週期時間資料，並檢測週期內的動作順序。 Drishti自動填充儀錶盤，並即時和事後提供報告，幫助製造商分析各工位、生產線和工廠的關鍵製造過程。
週期檢測 Drishti可以自動測量週期時間並識別活動模式，以檢測異常情況--短、長或其他不正常的週期--這可能指向生產線上的潛在問題，因此需要關注。
行動檢測 Drishti説明製造商測量和監控裝配過程中的關鍵步驟，並能識別步驟被跳過或不按循序執行。你可以即時或隨時獲得順序裝配過程的步驟時間，精確到一個週期中的每一個動作，以説明錯誤檢測、人機工程學等。
即時視頻 Drishti解決方案中的 "電腦視覺 "部分意味著我們從線路上的每一個網站資料流即時視頻。不需要即時視頻？製造商可以在事後通過Drishti門戶網站訪問錄製的視頻片段，並與設備序號相關聯。 我們將隱私和安全作為重中之重，因此您可以放心地部署Drishti。在此閱讀更多關於我們的政策和主動程式。
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什麼是行動識別？
每隔一段時間，就會出現一項新技術，從根本上改變現狀。 在今天的製造業中，這種技術就是來自Drishti的動作識別。
傳統的物體識別是以二維方式識別一幀，並能識別一個站在發動機旁邊的人的照片。
Drishti連續運行，無限期地收集生產線上每個週期的這種水準的資料。 在Drishti問世之前，製造商從未掌握過大量準確、無偏見的時間和運動資料。Drishti使製造商能夠確保標準化工作的遵守，識別瓶頸，防止裝配線出錯，並審計他們的持續改進工作。 今天，這項技術被部署在裝配線上，但對未來的影響是巨大的。行動識別技術可用於改善人們工作的任何地方的流程。
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生產線層面的Drishti
有了Drishti，生產線主管可以在瓶頸發生時迅速識別。 Drishti為主管提供的即時生產儀錶板有助於改善生產線的平衡，暴露出瓶頸工位元，並提前標記出生產的不足，以便這些問題可以在現場得到解決。
有了視頻支援的資料點，任何長或短的週期都可以立即被仔細檢查，並找出原因，無論是遺漏的步驟、材料流動問題還是任何其他問題。 生產線主管將在一個班次內瞭解各工位是否造成減速或以目標週期時間運行。如果工人需要對標準流程進行複習，他們可以快速進行在職培訓。
使用Drishti的生產線主管通常需要更少的加班，因為他們能更好地瞭解全天與生產目標的接近程度。 Drishti也能幫助裝配線工人。Drishti不僅能提供無可爭議的證據，證明某項工作是否已按指示完成，而且如果工人執行的步驟不符合順序，或週期過長或過短，也能立即收到警報。
閱讀Drishti如何幫助海拉公司確定與工位元配置相關的改進機會。
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品質團隊的Drishti
品質團隊花費數天、數周、甚至數月的時間來追蹤裝配中的缺陷根源。 有了Drishti，這種根本原因分析過程可以濃縮到幾分鐘，並用於改進遏制和控制方法。
使用Drishti的視頻支援資料，品質團隊可以檢查任何週期異常，並迅速瞭解週期過長或過短的原因是否有可能影響單位品質。如果是這樣，利用每個工位元的記錄視頻，品質工程師可以按單元序號快速搜索，逐個工位觀察其整個生產週期，準確確定缺陷發生的時間和地點。
團隊可以通過觀看其他視頻來瞭解是否存在同樣的問題，而不是報廢整批產品，並只隔離出有缺陷的單位進行報廢或返工--這樣可以節省時間、金錢和聲譽損失。 視頻檔為在品質控制方面建立一致和協作提供了巨大的推動力。Drishti標籤和視頻協作任務消除了品質控制的模糊性和猜測。
數字波卡枷鎖（防錯）。 Drishti還有助於降低缺陷逃脫率。Drishti可以提供數字防錯，即poka yoke，如果一個週期出現異常，無論是持續時間還是順序，都會即時提醒裝配線工人。
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工程團隊的Drishti
Drishti將工業工程中繁瑣的部分--時間研究--自動化。 這意味著您的工程師平均每天多出37%的時間來評估生產資料並在生產線上進行持續改進。
工程師們利用Drishti的分析和可操作的見解，發現以前隱藏的提高生產力的機會，如瓶頸工位元、不平衡的生產線、物料流問題和工位元配置問題。Drishti對這些機會的視頻進行標記，説明工程師瞭解模式，並根據影響程度確定改進的優先次序。 由於合作就在Drishti門戶網站上進行，工程團隊發現Drishti是他們持續改進工作中的關鍵資產。
對持續改進活動的支持 需要進行持續改進活動嗎？Drishti不需要在活動前花幾周時間細緻地收集資料，而是在這段時間內持續運行，並與持續改進團隊分享運營資料，後者利用這些見解進行流程改進。Drishti可以提供執行前和執行後的分析和比較報告，以確保每項改進都得到實施、持續和成功。 最終，由Drishti支持的持續改進活動時間更短，影響更大，對業務部門來說成本更低，而且改進效果更持久。
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用於植物管理的Drishti
每條配備了Drishti的生產線在產量和產品品質方面都有明顯的優勢。
現在想像一下，在一個工廠的每一條生產線上都能看到這些優勢。 或者在一個組織中的每個工廠。 Drishti不僅提供了明顯的競爭優勢，它還使工廠管理部門每天都能獲得關於效率、品質、勞動力優化和培訓需求的關鍵資訊。除了通過Drishti門戶網站進行24/7訪問外，Drishti還將定制報告直接發送到您的收件箱。
利用Drishti的視頻檔和協作工具，在Drishti門戶網站上自動分享關鍵指標和客觀業績證據。Drishti還能與你現有的商業智慧工具整合，提供全面的運營視圖。Drishti消除了模棱兩可的情況，並加速了持續改進的努力，以獲得最大的商業影響。
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服務與諮詢
除了我們獨一無二的解決方案外，Drishti還獨特地提供了一個由熟練的製造專家組成的團隊，以幫助您的部署盡可能順利地進行。這支團隊直接來自於製造環境，擁有像您一樣的第一手運營經驗。 在部署開始之前，我們的客戶成功管理（CSM）團隊的成員將瞭解您的生產方法，並理解您的目標。我們的CSM與您的團隊協同工作，利用集體的經驗和深厚的Drishti知識，幫助確定Drishti功能的正確組合，以解決您的製造挑戰。
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Drishti安全與隱私
被世界上最先進的製造商所信任 強有力的安全狀況 一流的雲基礎設施 企業級的隱私控制
有把握地部署和擴展Drishti
通過安全訪問提供保護 門戶許可權的最小特權模式多因素認證細緻的審計記錄協力廠商安全測試 以最小的努力確保可用性並擴大使用範圍 世界範圍內的資料中心服務監測
以最高標準的防丟和恢復來保護資料 系統監控多層冗餘3倍的資料複製高可用性的資料庫
保護你的員工 以正確的方式處理個人資訊，保持合規性 涵蓋世界範圍內合規的隱私政策經過隱私認證的基礎設施廣泛的安全性群組合支持通知和保留政策支援隱私的資料收集以掩蓋員工身份
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案例研究
離散型製造商如何將Drishti用於工作？有些公司專注於通過更完整的資訊和資料進行持續改進；有些公司則專注於品質輸出和減少缺陷。
你將如何從Drishti中受益？ 選擇與您最接近的行業，在現實世界中展示價值。
更多行業 Drishti是那些利用手工裝配線作為其生產過程中的一個組成部分的廣泛行業的理想選擇。
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汽車OEMS和供應商
汽車行業的頂級組織是如何利用Drishti的？我們收集了來自客戶的見解，向您展示我們的技術在現實世界中是如何運作的。
汽車行業的頂級組織是如何利用Drishti的？我們收集了來自客戶的見解，向您展示我們的技術在現實世界中是如何運作的。 汽車裝配線的成功取決於兩個關鍵因素。 測試新產品和工藝，更快地進入新市場 降低成本，同時保持零PPM缺陷率 Drishti可以實現這兩點。 看看Drishti是如何為汽車行業提供整個手工裝配線的全面視圖的--從整個組織的每個工位元--近乎即時地洞察到剛剛發生了什麼以及為什麼。
海拉公司：全球一線汽車供應商 海拉公司在一條被認為已經完全優化的生產線上部署了Drishti。十周後，海拉公司的團隊成員利用Drishti找到了新的改進領域。 查看案例分析
Drishti推動AI驅動的生產，改善決策 自動化生產線總是產生大量的資料。現在，你也可以將收集手工生產線上的裝配資料的過程自動化。 通過攝像頭收集生產線上每個工位元的資料，Drishti捕捉到每一個週期，並存儲每個數據點的視頻，以便快速搜索和檢索。
全面的報告 我們專有的人工智慧模型將視頻資料轉化為每個週期的分析和洞察力，我們將其推送給你，以便你可以。 識別並糾正瓶頸問題發現並糾正標準化的工作偏差控制品質並培訓你的生產線員工 通過Drishti，您將收到詳細的週期時間資料，其數量和精確度在持續改進過程中是前所未有的。 汽車製造商現在有能力優化他們的生產線，對收集的資料或管理的改善活動沒有限制。
More automotive case studies
對汽車OEMs和供應商的好處 使您的工業工程師、製造團隊和品質人員及其生產線上的同事獲得他們需要的分析結果。 減少缺陷增加對標準化工作的遵守隔離瓶頸和識別變異性的來源加快改進活動，同時提高其有效性改進對生產線員工的培訓改進根本原因分析，減少發現問題的時間加快NPI進程
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醫療設備製造
醫療設備裝配線的成功取決於兩個關鍵因素。 零缺陷完整的可追溯性 完成這兩項壯舉的秘訣是什麼？ Drishti。 在一個高度管制的行業中平衡風險和產量，對你的手工裝配線有一個從未想過的洞察力。
在一個高度管制的世界裡，高效、低成本的人工智慧驅動的生產 醫療設備製造商有兩個必要條件。零缺陷和完整的可追溯性。 高風險設備，如造口袋、靜脈注射、支架輸送和所有II/III類設備，需要高效、最低成本的生產，同時在高度監管的生產環境中保持重要的品質措施。 必須在充分瞭解的情況下做出決定，以提高生產力和降低生產成本，同時保持高品質。
以前所未有的方式推進醫療設備製造 Drishti使您的醫療設備製造商能夠保持一種持續改進的文化。 捕獲每個醫療設備在手工裝配線上每個階段的裝配視頻和資料。輕鬆快速地查看週期時間分析，並檢索視頻以便立即查看。 Drishti專有的人工智慧模型將視頻轉化為資料、分析和洞察力，提供有史以來第一個完整的人工醫療設備裝配測量。
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Hella公司：全球一線汽車供應商
客戶概述 Hella公司是一家精益製造商和世界領先的汽車供應商之一。他們的世界級團隊歷來使用最先進的精益方法和先進技術來優化他們的生產。當Hella Ventures團隊遇到Drishti時，他們發現了一個機會，即利用我們的人工智慧視頻和分析技術在精益生產實踐中邁出進化的一步。
該解決方案。利用Drishti的資料和視頻進行人工智慧驅動的生產 Hella公司的目標是確定標準化工作的偏差和提高生產率的領域。他們的持續改進團隊使用Drishti來記錄生產線上每個工作站的週期時間，以便為持續改進活動做準備。 他們將 12 個 Drishti 視頻流部署到他們的工作站。
將其付諸實踐 Marcos Aurelio Alves Junior是墨西哥Hella公司的卓越運營和工業工程經理。他負責Drishti專案，並有Drishti客戶成功團隊支援他。 Drishti團隊不僅提供了如何使用Drishti系統的指導，還提供了關於改進活動的專家回饋，以及在哪些方面應優先開展工作。在五周內，Hella團隊就得到了Drishti生成的關於改進活動的分析報告，包括生產線平衡、工作站的週期時間頻率和生產趨勢。 這與Alves過去開展的任何其他改進活動都不一樣。
"Alves說："通常情況下，你通過時間和運動研究記錄一百個週期，"Drishti記錄了500或1000個週期，人們不會感到被觀察到，所以不會出現資料偏差。你有真實的環境在你的指尖，以獲得更真實的持續改進，而且你可以隨時運行它。"
Hella團隊使用Drishti的線條變化和趨勢圖來浮現週期時間的異常，並直接從圖表中點擊進入視頻。有了唾手可得的視頻，平衡線路的方法就不會成為巨大的、耗時的謎題來解決。他們現在可以更頻繁地改進生產線，並有更好的洞察力。
結果：新的精益流程得到了回報
Alves和團隊完成了Drishti支持的kaizen活動，證明了高度優化的生產線仍有更大的生產力潛力，並相信持續改進活動實際上可以連續進行。 總的來說，該團隊看到週期時間減少了7%，而生產力增加了5%。其結果是每年增加了數萬個汽車電子產品部件的產能。勞動力成本的減少來自于重新平衡生產線的能力，以及在輪班之間出現變化時立即做出反應的能力--提高生產力。 現在，Hella公司正在將其Drishti部署擴大到全球其他工廠。在海拉公司看來，該團隊已經通過新的人工智慧和視頻技術突破了精益生產的障礙，支援他們進入人工智慧驅動的生產時代。
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電裝公司
客戶概述 電裝是世界第二大移動通信供應商，為當今道路上幾乎所有的汽車品牌和型號開發先進的技術和部件。 電裝以製造為核心，投資於其在35個國家的221個工廠，生產熱能、動力總成、移動性、電氣化和電子系統，創造就業機會，直接改變世界的移動方式。 該公司的170,000多名員工正在為改善生活、消除交通事故和保護環境的未來交通鋪平道路。
挑戰：在幫助其勞動力增加更多價值的同時，實現重大的流程收益 電裝公司的目標之一是利用顛覆性技術為先進的移動性創造和激發新的價值。通過Drishti，他們的目標是優化其在北美的幾個工廠的製造生產。 具體來說，他們希望在實現重大工藝收益的同時，幫助他們的勞動力增加更多價值。 他們知道，連續和即時地將高度可變的人類運動數位化將提供分析洞察力，可以大大改善生產力、效率和品質，以及他們如何對待員工培訓。
解決方案：對人工任務進行即時、連續的分析 Drishti的動作識別技術，通過人工智慧（AI）和電腦視覺，使電裝公司能夠對其生產員工執行的手工任務進行即時、連續的分析。該資料集賦予生產管理部門快速識別和消除瓶頸、改進流程、提高效率和確定任務優先次序的能力。 這些能力提高了產量，改善了產品品質和一致性，並協助生產員工完成日常任務，這有助於他們確定他們和他們的團隊如何更好地簡化流程。 "Drishti的持續資料創建提供了生產力洞察力和品質指標，幫助我們更快地做出更好的決定"。 -Dave Grimmer，高級副總裁，北方生產創新中心負責人
結果：持續的資料創建，提供對生產力的洞察力和品質指標，以便更快地做出更好的決定。 Drishti首次為DENSO帶來了對人工作業性能的分析和量化見解。這是在即時和連續的情況下發生的，這意味著Drishti產生了他們以前沒有的大量資料，可以説明推動快速決策。 Drishti的技術為DENSO產生的資料集是。 比傳統的時間和運動研究產生的資料大得多填補了分析領域的一個主要空白更加多樣化，並通過視頻豐富了內容實現了以前不可能實現的資料驅動型決策專注於支持對製造業至關重要的人員 這些海量資料集的好處超越了生產車間，延伸到電裝公司的領導層和工程師，他們使用Drishti的技術來收集生產回饋，並就設計和組織管理作出決定。Drishti極大地提高了電裝公司實施Kaizen（或持續改進）原則的速度。
"這個工具將保留工作崗位，因為每個類別的性能都會提高，而且電裝公司考慮昂貴的自動化的理由也會減少"。 -Raja Shembekar，北方生產創新中心副總裁
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醫療設備製造業的全球領導者
客戶概述 當他們不忙於成為美國最好的大型雇主之一時，這家全球領先的結構性心臟病公司將某些產品的生產從其在美國的主要基地轉移到低成本地區，以保持競爭力。生產線轉移專案是昂貴和耗時的，因為人員需要旅行，而且需要與接受生產線的設施分享大量的部落知識。
由於缺乏旅行，COVID-19顯然使生產線轉移變得更加複雜。但即使在COVID-19之前，這家製造商也在尋求新的方法來加速生產線的轉移。如果Drishti能簡化這一過程，他們就永遠不需要再回到以前的做事方式。
挑戰：控制生產線轉移成本 在COVID之前，生產線上的員工團隊會從接收地點到發送地點去學習生產的來龍去脈。 這種人事變動產生了巨大的有形和無形的成本。 生產線員工的差旅費用，包括處理簽證的人力資源開銷接收地點的勞動力成本，以填補目前正在旅行的生產線員工的空缺兩地的機會成本，因為要在教育和培訓方面投入數天的精力。在新生產線啟動期間，生產量減少，這就要求提前進行額外的生產或事後補足生產。
一旦經過培訓的生產線員工回到接收地點，他們需要實施他們所學到的知識，培訓他們的生產線員工，並在他們試圖重新創建裝配線時，解決不可避免的成長的痛苦。總的來說，這個昂貴的過程從開始到結束需要3-12個月。
該解決方案。Drishti追溯系統簡化了基準資料和培訓過程 這家製造商正在部署Drishti，以記錄發送地點的流程，為其在接收地點的複製提供基準，並促進新生產線員工的培訓。 以下是新流程與Drishti的運作情況。 - 來自發送站的基線資料。項目開始時，Drishti Trace攝像機在發送地點的生產線上的每一個網站都進行了部署。Drishti的持續改進顧問和製造商的工程師共同合作，利用Drishti的注釋功能創建了一個精益報告資料集，其中包括在許多視頻片段上的工藝定義。這個資料集包括生產線平衡、週期時間和標準化工作細節，有助於流程轉移，並為收貨地點的生產線員工提供培訓內容。 - 為收貨地點制定基準。收貨地點在他們設立的生產線上部署了Drishti視頻流。重複了注釋過程和新的精益報告以作為基準。由於很容易測量非常大的週期量，所以很清楚接收站與發送站不同步的地方。由於Drishti的資料和視頻使差異變得非常清晰，決定標準流程的行為變得更加快速和順暢。 - 培訓新的生產線員工。接收地的員工使用Drishti來加速學習並提高他們的標準化工作表現。生產線員工回顧了發送地點的視頻播放清單，以熟悉新的操作。他們還利用Drishti的視頻重播功能，將自己的操作與發送地點經驗豐富的生產線員工的操作進行比較。
結果：加速學習，節省時間和成本 新的生產線轉移過程意味著工程團隊現在可以在不同的地方建立一條新的生產線或現有的生產線，而沒有旅行的風險（在大流行病中），而且成本更低。視頻在各網站之間輕鬆流動，可以通過Drishti門戶網站回答任何流程問題。 它有助於減少培訓新生產線員工的時間和成本；縮短生產線轉移過程的時間；並將現場轉移造成的生產中斷降到最低。
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頂級電子合同製造商
更快、更有效的改善措施不斷提供。
客戶概述 持續改進是這個行業公認的、有 "靈感 "的電子合同製造商的一個高度利用的過程。他們的專業工業工程師團隊在精益實踐方面有很深的造詣，並能很好地合作，產生有影響力的生產線手動裝配線改進。作為一些最大的AV設備OEM的合作夥伴，他們的任務是確保在不犧牲品質的情況下滿足不斷增長的訂單率。他們求助於Drishti來推進他們的生產線，並改善他們在墨西哥Guadalajara的kaizen流程。
挑戰：跨越持續改進的障礙 最近的持續改進工作在生產線上產生了更多的變數，這對於那些正在通過標準化工作的變化而工作的工程師來說並不陌生。期望通過更多的資料和有效的改善活動，他們可以開始解決遺留的問題。例如，他們將能夠減少平均週期時間，降低變異性，並提高產量。首先，他們要求Drishti幫助他們追蹤過去的結果，並在未來進行更有效的流程改革。他們發現，鑒於他們目前的手工資料收集能力，他們為持續改進所做的努力往往會隨著時間的推移而下滑。
解決方案：持續改進的收益超越了Kaizen的範圍 隨著Drishti Flow在每個工位的到位，這家製造商能夠進行資料收集，並利用 "虛擬玄關 "工具。在使用Drishti之前，工業工程團隊需要花費數天時間進行觀察和資料收集--平均每天有5到10個樣本資料集。在Drishti門戶網站上更快地分析和展示資料，意味著他們在一天之內就能獲得更大的、可供改進的資料集。這也意味著他們有額外的時間用於合作和構思。這提供了戰略方向，其好處遠遠超出了改進活動本身。 他們的分析確定了第三班作為最佳實踐的基準，並利用新的能見度來瞭解工作變化。這導致了新的裝配流程，並發現了重新分配生產線上的員工的機會，這些員工在表現最好的第三班中大部分時間是閒置的。他們還能夠評估在以前的裝配變化後出現的品質問題。同樣，不同班次之間的差異指出了更好的做法，因此他們可以在提高產量的同時實現其UPH目標。
讓 Drishti 工作獲得了豐厚的回報 Drishti 的連續視頻和人工智能驅動的生產流程現在使這家電子製造商能夠保留他們通過各種改善努力取得的成果。事實上，我們發現，在 Drishti 監控的 6 個月中，團隊能夠跟上最初的 Drishti 改善活動導致的 25% UPH 增長的步伐。具體來說，Drishti 通過以下方式改進了他們的手動裝配線生產流程：手動裝配線上的數據量增加：實現了 10,000 個數據點與 10...
結果：始終如一地提供更優質的產品 新的持續改進功能使團隊能夠比以往更快地在線實施變更。需要數週時間的改善活動可以縮短到數天。改善過程的變化和所需的總工時都很明顯。借助 Drishti，IE 團隊將 kaizen 持續時間縮短了 40%——為自己留出更多時間進行增值分析和頭腦風暴。持續的數據和視頻強化了改善的成果。它允許工程團隊和生產線主管定期分析生產趨勢。他們可以通過 Drishti 線路和車站趨勢圖快速了解瓶頸，並深入查看視頻，以查看線路是否由於改善而保持了 25% 的改進吞吐量。該團隊還發現，流程變更並不意味著犧牲質量。當一線員工適應新的標準化工作方法時，他們可以保持質量。證明是在看到 UPH 增加的同時，他們的生產線產量增加了 7%。他們已經實現了他們的目標，現在每天都有數百種高質量的 AV 產品運送給他們的大客戶。
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關於Drishti
關於Drishti 利用人工智慧和電腦視覺，Drishti在製造業歷史上首次大規模地優化了人工裝配過程。我們認識到，離散製造業的很大一部分依賴於人，他們是裝配線上最靈活但也是最多變的組成部分。 我們的技術可以測量、告知並指導他們的工作，以優化生產結果，提高工作滿意度，並改善保留率。真正的數位化轉型包括支援工人、收集資料和提供洞察力。 通過提供對整個手工裝配系統的全面瞭解，Drishti的專利技術能夠立即洞察剛剛發生的事情和原因。 有了這種水準的可見性，離散製造公司可以做出快速、明智的決策和改進，這是以前不可能的。這種水準的細化和整體洞察力導致了變革性的、全系統的進步和明顯的競爭優勢。
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我們的歷史
製造業的第四個時代。以人工智慧為動力的生產 迄今為止，製造業已經有了三個時代。
我們正在利用過去三個時代的最佳元素，並通過人工智慧和電腦視覺為其提供超級動力。其結果就像之前的時代一樣具有變革性。
我們是如何開始的 三十年前，通用汽車公司的總裝配線有一個問題：工人們在安全地安裝像駕駛艙這樣的重型部件時很費勁。但機器人不夠靈活，無法完成複雜、多變的過程。 通用汽車向Drishti現在的首席執行官兼創始人普拉薩德-阿凱拉博士求助，他領導的團隊開發了世界上第一個協作式機器人，即cobots，以解決這個問題。 這個想法很簡單，但具有變革性。將機械強度和精度與人類的敏捷性和適應性相結合。 除了創造了現在價值數十億美元的市場外，普拉薩德還獲得了一個深刻的理解。人和技術一起工作，可以放大彼此的價值，創造出遠比其各部分之和更有價值的東西。 Drishti成立於2016年，促進了人和機器共同工作的道路。這是Drishti在製造業領域推動的道路--並以此將世界引入製造業的第四個時代。以人工智慧為動力的生產，追隨工藝、大規模和精益生產的豐富腳步。
成就 2021 作為其歐洲、中東和非洲地區擴張計畫的一部分，Drishti在歐洲簽訂了第一筆交易。 2020 Drishti獲得B輪融資，簽署了新的全球製造業客戶，並被福布斯和英偉達認可為頂級人工智慧公司。 ...
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Gary Jackson
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我們的投資者
現代製造業面臨的最大問題是，人類在分析中是看不見的。 在機器人和自動化技術進步了幾十年之後，高達72%的製造任務仍然由人類完成。他們為裝配線上的每件產品所增加的價值從來沒有被持續測量。 我們感謝我們有遠見的投資者，他們不僅瞭解這個有100年歷史的問題，而且看到Drishti用AI驅動的生產來解決這個問題。 最近，Drishti完成了B輪融資，這對一家初創公司來說是一個重要的里程碑，尤其是一個正在創造一個全新的類別的公司。 到目前為止，Drishti已經在四輪融資中從九個非常重要的投資集團那裡籌集了3700萬美元。
當人類和機器一起工作時，會實現最好的結果。我們的投資者知道這一點。
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Standardized work puts people at the center of the process
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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"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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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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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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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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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 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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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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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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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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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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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 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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 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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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 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Who manages Drishti, and who uses it?
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My line has a lot of people on it. How can Drishti help?
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How will my line associates react to having cameras installed over their heads?
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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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What does Drishti provide to medical device manufacturers?
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What type of information and data does Drishti capture on a medical device manufacturing line?
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How does Drishti work with my other systems on the manufacturing floor?
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The biggest consideration for my assembly line is quality. How can Drishti help me?
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Competition in this field is growing, and it’s cutting into my business. Can Drishti help with my market position?
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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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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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Request a Demo
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Attracting, training and retaining manufacturing talent with new tech
Register today! Wednesday, October 19, 2022 at 1 p.m. EDT
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How new tech evolves standardized work
Register today! Wednesday, July 13, 2022 1 p.m. EDT
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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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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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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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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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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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451 Research on Drishti
Drishti uses computer vision to bring continuous improvement across production lines.
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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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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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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 Butterfly Defect
A new framework for calculating the cost of assembly line defects in the face of unpredictable outcomes.
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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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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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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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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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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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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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AI-powered production on Ford's manual assembly lines
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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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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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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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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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How AI extends the Toyota Production System featuring Dr. Jeff Liker
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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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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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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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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 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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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.
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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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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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Adaptability relies on people
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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 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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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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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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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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Aerospace and Defense
Complex Regulatory Environments Similar to the medical devices space, aerospace and defense production represents a more complex umbrella...
A heightened need for infosec As a result of the regulatory environment, aerospace and defense manufacturers have more...
Quality control in high-risk production Aerospace and defense have potentially high-risk end products. Risk mitigation and quality control...
Drishti is the ultimate partner for defense assembly Drishti empowers aerospace and defense manufacturers to maintain a culture...
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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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Electronics
Electronics assembly line success depends on two critical factors: Testing new products and entering new markets fasterLowering costs...
Drishti drives AI-powered production that improves decisions on the electronics factory floor Now you can automate the process...
Benefits for electronics manufacturers AI-Powered Production makes massive volumes of data and video readily accessible for electronics manufacturers...
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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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Resources
"Understand the seismic shift manufacturing is experiencing during this fourth era of change: AI-powered production."
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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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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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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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Leadership
Our global leadership team has decades of diverse experience developing innovative technologies and growing companies.
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News & Press
Read the latest news, analyst coverage, and press releases from Drishti.
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Events
Here's what's coming up in the world of AI-assisted manufacturing.
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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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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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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...
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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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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...
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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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Legal Notices
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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
Last Updated: January 22, 2021 Drishti has the utmost respect for individual’s privacy and this Privacy Policy explains...
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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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Release Notes
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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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Drishti for Manufacturers
For the first time, manufacturers have complete visibility into work performed by people.
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Security & Privacy with Drishti
Safeguarding manufacturing data in the cloud.
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RSS
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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...
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Capturing value with a new manufacturing ROI model
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Continuous process verification - no longer a myth?
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Modernizing the genba to demystify the factory floor
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Getting workers to collaborate in problem solving the right way vs the fast way
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How to generate data with purpose
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Making manufacturers' secret weapons - people - even more potent
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Nobody likes a bottleneck: Detecting production slowdowns
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The problem with the current manufacturing ROI model
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Attracting, training and retaining manufacturing talent with new tech
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How new tech evolves standardized work
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Rethinking ROI in Manufacturing
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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
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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...
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Greg Mathers
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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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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...
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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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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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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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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...
阅读更多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...
阅读更多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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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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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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