LinkedInยทFriday, 21 August 2026ยท5d ago
๐๐ ๐๐ถ๐๐ถ๐ผ๐ป ๐ถ๐ ๐ฏ๐ฒ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐บ๐ผ๐ฟ๐ฒ ๐๐๐ฒ๐ณ๐๐น ๐๐ต๐ฒ๐ป ๐๐ต๐ฒ ๐ถ๐ป๐๐ฝ๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ฟ๐ฒ๐๐๐น๐ ๐ฐ๐ฎ๐ป ๐บ๐ผ๐๐ฒโฆ
Mohamed Boulahfati
๐ก See whatโs shaping the future sooner with trend research powered by @trends ๐๐ป hiddendatalab.com
๐๐ ๐๐ถ๐๐ถ๐ผ๐ป ๐ถ๐ ๐ฏ๐ฒ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐บ๐ผ๐ฟ๐ฒ ๐๐๐ฒ๐ณ๐๐น ๐๐ต๐ฒ๐ป ๐๐ต๐ฒ ๐ถ๐ป๐๐ฝ๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ฟ๐ฒ๐๐๐น๐ ๐ฐ๐ฎ๐ป ๐บ๐ผ๐๐ฒ ๐ฑ๐ถ๐ฟ๐ฒ๐ฐ๐๐น๐ ๐ถ๐ป๐๐ผ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ ๐ผ๐ณ ๐๐ต๐ฒ ๐ณ๐ฎ๐ฐ๐๐ผ๐ฟ๐ ๐๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐. Rockwell's integration of VisionAI with Plex QMS is a concrete example. A detected defect can become part of the inspection history, traceability and product record instead of remaining inside a separate vision system.
Other examples extend that idea. Endress+Hauser connects machine vision with assembly guidance and MES records, while Shelfmark is building production histories that connect defects with surrounding conditions across successive runs. This gives manufacturers a richer data trail for finding causes, improving models and potentially predicting problems earlier.
The camera is increasingly becoming a source of structured production intelligence that other manufacturing systems can use.
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๐ง๐ต๐ฒ ๐บ๐ผ๐บ๐ฒ๐ป๐ ๐ฎ ๐ฐ๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐ต๐ฎ๐ ๐ฎ ๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ, ๐๐ต๐ฒ ๐พ๐๐ฎ๐น๐ถ๐๐ ๐ผ๐ณ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐ฐ๐ฎ๐ป ๐ฏ๐ฒ๐ฐ๐ผ๐บ๐ฒโฆ