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 of the white paper include:
- Explanation of AI systems;
- the use of AI in AOI;
- challenges with deploying AI on the manufacturing floor;
- the “AI Enhancement to AOI for PCBA” project; and
- 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,” commented Matt Kelly, IPC chief technology officer and vice president of technology solutions.
He added: “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.”
The report can be downloaded here.
