At present, the PCB manufacturing industry is undergoing a huge transformation, that is, it can use artificial intelligence (AI) to simplify the production process and improve production results in ways never seen before.

AI has become a market disruptor, and the importance of adding AI to PCB manufacturing is as critical as moving to Industry 4.0. Automation systems can interact and communicate with each other, and decentralize decision-making processes,and provide many advantages.

AI is very complex and requires a wealth of expertise in the technology itself and in the field of using AI.

For example, in PCB manufacturing, tantalum classification is a key area of automated optical inspection (AOI) solutions. The AOI computer will transfer the potentially defective PCB image to the Remote Multiple Image Verification (RMIV) station. The operator of the station will view the image and classify it as “true defect” or “false point”.

When categorizing defects,find out the deep meaning behind each operator’s classification assessment results, and brainstorm to create a meaningful system to prioritize the PCB characteristics that should be prioritized.

Deep learning is a more complex AI implementation that allows computers to present deeper information, patterns, and backgrounds in data structures in a very efficient manner with complex learning behaviors. Used to improve the manufacturing process. In general, deep learning uses multi-directional, multi-level artificial neural networks to mimic the learning, understanding, and inference capabilities of the human brain.

To successfully implement an AI solution, you must integrate it with rigorous operations and with professional process knowledge. If you want to build an AI system in a complex manufacturing environment, you need to go through a lengthy and comprehensive training phase. These training processes are very demanding on the operation and require a large amount of computing human resources to achieve optimal performance.

It is precisely because AI will bring significant advantages to PCB manufacturers in order to apply AI to overall manufacturing, learn through testing, and help drive the industry toward smarter, more powerful manufacturing processes that will help customers increase production,and reduce operating costs.