Amid the wave of transformation and upgrading in the broader manufacturing industry , the traditional model relying on manual visual inspection is facing unprecedented challenges. Difficulties in recruiting inspectors, high staff turnover, and missed inspections and standard drift caused by physiological fatigue have become the main reasons for enterprises' uncontrolled hidden costs and customer complaint risks.

This seminar will provide an in-depth analysis of how to leverage AI-powered visual quality inspection technology to achieve automated and precise identification of surface defects , dimensional deviations, and assembly anomalies. More importantly, we emphasize that "data should not be silos." Through integrated MES (Manufacturing Execution System) on-site management , the system can instantly receive quality data generated by AI, triggering automatic alerts and initiating an 8D (Design, Detection, and Improvement) improvement loop . Enterprises will be able to achieve a strategic transformation from "post-event inspection" to "pre-event prevention," reducing labor costs while comprehensively enhancing the order-taking competitiveness of their global supply chain.

[Event Information] Online Seminar, April 17, 2026 (Friday), 2:00 PM Vietnam Time (3:00 PM Taiwan Time)

【Seminar Highlights】

lecturer:

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