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Join us to learn how artificial intelligence (AI) can enhance performance of automated optical inspection (AOI) machines. This webinar will share results from Phase 1 of the iNEMI AI Enhancement to AOI for PCBA project and talk about plans for Phase 2.
Machine learning and artificial intelligence (AI) models have been adopted to help with the pass/fail judgement of AOI machines, enabling detection of true failures with greater accuracy and in less time. Integration of AI can also help reduce man-hours, re-inspection and repeated machine program optimization processes. In Phase 1, an industry-wide survey assessed adoption status and identified challenges of AI for AOI in board assembly. Based on survey results, the project team designed a test vehicle incorporating the most common defect and component types and ran an experimental trial on AI training and AOI inspection.
Phase 2 of the project aims to establish common language and performance metrics to evaluate the value of adding AI to AOI capabilities and provide recommendations to the industry for future implementation and improvement opportunities. In addition, the project is calling for industry participation in experiments that will use the established test vehicles for training and/or inspection of existing AI for AOI solutions. This project can help industry mitigate technology gaps and improve inspection efficiency and accuracy as well as reduce cost.
Registration
This webinar is open to industry. Two sessions (with the same content) are scheduled, and advance registration is required. Click on the links below to register.
Session 1
Tuesday, July 11
9:00-10:00 a.m. EDT (US)
3:00-4:00 p.m. CEST (Europe)
9:00-10:00 p.m. CST (China)
Session 2
Friday, July 14
11:00 a.m. — 12:00 p.m. CST (China)
8:00-9:00 p.m. PDT (US) on Thursday, July 13
