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  6. [Case Study] Error Prevention for Work Mistakes and Omissions

[Case Study] Error Prevention for Work Mistakes and Omissions

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last updated:May 16, 2023

アキュイティー
アキュイティー
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Project the next tightening position during screw tightening! Achieve zero tightening omissions and ensure quality.

In the screw tightening process, to ensure that the work is completed without mistakes and that quality is guaranteed, double-checking and triple-checking are incorporated into the workflow. In this context, a system that displays progress on a monitor and allows for simultaneous work and checking is noteworthy. The screw tightening positions are projected using projection mapping. With pre-settings, the next screw tightening position is shown in blue, the screws that have been tightened are shown in green, and the screws that have been tightened incorrectly are shown in red, directly projecting the work content. This allows anyone to easily and accurately perform screw tightening according to the correct procedures without the need for a manual. [Challenges and Requests Before Measurement] ■ If there is no space to set up a PC monitor, it is not realistic to check the PC and view the progress during work. *For more details, please refer to the PDF document or feel free to contact us.

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[Case Study] Error Prevention for Work Mistakes and Omissions

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  • Related Link - https://www.acuity-inc.co.jp/pickups/cases/error-p…

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【Effects of System Implementation】 ■ Achieving zero tightening omissions and ensuring quality ■ High precision tool positioning using a dedicated camera ■ Projecting the next steps without a manual *For more details, please refer to the PDF document or feel free to contact us.

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Acuity Inc. Company Profile

Acuity Inc. Company Profile

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Acuity Inc. thoroughly decomposes and analyzes elements based on a wide range of sensing technology options and a vast number of implementation cases. By identifying the essence of challenges, we select the optimal methods to solve current issues. We create new value. "Seeing is changing." Our solutions address challenges by observing people, objects, and systems, using quantified data as a basis for resolution. For example, in performance testing of manufactured products, we provide systems for displacement measurement, static testing, and three-dimensional measurement as methods to solve issues related to reducing man-hours, improving efficiency, automation, and traceability. For motion analysis, gaze analysis, and automation of visual inspections, we consistently handle factory DX with manufacturing-specific solutions such as AI-based appearance inspection and image processing systems, as well as human detection systems.

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