Automated optical inspection (AOI) systems are essential in electronic manufacturing for ensuring the quality of printed circuit board assemblies (PCBAs). Traditional AOI systems, however, face significant challenges due to high false call rates and defect escapes, particularly as electronic designs become more complex. The integration of artificial intelligence (AI) has emerged as a promising solution to enhance the capabilities of AOI systems.
Phase 1 of iNEMI’s AI Enhancement to AOI for PCBA Project evaluated and recommended AI technologies for AOI. The project team surveyed the current state of AI and AOI technologies in the industry, established common performance metrics, and prepared test vehicles for subsequent experiments.
The recently completed Phase 2 of the project involved rigorous experimentation using the metrics and test vehicles established in Phase 1 to evaluate and validate the performance of AI-enhanced AOI systems. End-of-project webinars are scheduled on November 12 and 13 to report Phase 2 results and lessons learned. Challenges and future work in adopting AI into AOI will also be discussed.
Registration
These webinars are open to the public; advance registration is required (see links below). Two sessions (with the same content) are scheduled. If you have any questions or need additional information, please contact Haley Fu (haley.fu@inemi.org).
Session 1
Tuesday, November 12, 2024
8:00-9:00 a.m. EST (US)
2:00-3:00 p.m. CET (Europe)
9:00-10:00 p.m. CST (China)
Register for this webinar
Session 2
Wednesday, November 13, 2024
9:00-10:00 a.m. CST (China)
8:00-9:00 p.m. EST (US) on November 12
Register for this webinar