[FA Finder Case Study] Predictive Maintenance of Spraying Equipment through AI Image Analysis
A case study on achieving a "non-stop factory" and reducing the manpower required for maintenance!
We would like to introduce a case study of the "FA Finder" implemented at a company that manufactures materials related to medical devices. The company is working on predictive maintenance, where AI analyzes camera footage to capture signs of abnormal conditions before any issues occur with the spraying equipment. In practice, it detects signs of potential problems before the nozzle becomes clogged by analyzing footage of the liquid spray emitted from the nozzle. 【Case Overview】 ■Initiatives - Predictive maintenance that captures signs of abnormal conditions by having AI analyze camera footage before any issues occur with the spraying equipment. ■System - Detecting signs of potential problems before the nozzle becomes clogged by analyzing footage of the liquid spray emitted from the nozzle. *For more details, please download the PDF or feel free to contact us.
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Zuken Elmic is expanding its contract development based on its knowledge and achievements in communication protocols and low-latency video streaming. In the manufacturing sector, it is focusing on: - The platform 'FA Finder', which integrates video, AI, FA equipment, and visualization systems for FA to build systems for detecting product defects and equipment malfunctions, as well as traceability systems. - Industrial network implementation support services.
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