A new white paper, “Unlocking AI for Automated Optical Inspection” released today by IPC’s Chief Technologist Council, focuses on AI’s role in AOI processes for printed circuit board assemblies (PCBAs). According to data within the white paper, recent advancements in technology, particularly in Cloud AI, IoT and Smart Manufacturing, have provided opportunities to further enhance AOI performance. AI solutions leveraging deep learning and edge computing technologies have shown significant improvements in AOI accuracy and efficiency.
While the white paper focuses on the application of computer vision AI for automating inspection (i.e., applying AI for pattern recognition on inspection images), the rapidly growing availability and maturity of generative AI presents future possibility in generating inspection criteria.
Key focus areas within the white paper include:
- AI systems explanation
- The use of AI in AOI
- Challenges with deploying AI on the manufacturing floor
- “AI Enhancement to AOI for PCBA” project
- Technical Strategy Recommendations
“AI has shown significant potential in the realm of AOI, particularly in improving detection accuracy, reducing manual intervention and improving production efficiency. It presents many opportunities for the electronics manufacturing industry to increase reliability, speed up time to market and reduce costs and time associated with manual adjustments to systems,” said Matt Kelly, IPC chief technology officer and vice president of technology solutions. “However, several challenges must be addressed before AI can be widely adopted on electronics manufacturing production floors. AI research, industry collaboration and an ecosystem of standards, will help close the gap in AI adoption within the electronics manufacturing industry.”
Download “Unlocking AI for Automated Optical Inspection at www.go.ipc.org/aoi-whitepaper.
