The effectiveness of printed circuit board (PCB) quality inspection solutions can be broken down to three facets - automated Optical Inspection (AOI) systems that are used to acquire images of PCB components, inferencing software used to detect defects, and hardware connecting the two. The latter of these is responsible for processing data obtained from the AOI system and running defect detection models, typically via its GPU, to perform key tasks within the quality inspection solution as a whole.
This is why one vendor chose to incorporate AAEON’s new MAXER-2100 as an edge server when building their quality inspection system, the Hawkeye. The company developed cutting-edge software to identify defects in PCBs. They then deployed the MAXER-2100 to process image data from an AOI device and run their AI inferencing models via the MAXER-2100’s GPUs to quickly and accurately detect defects during the manufacturing process.
This comprehensive quality inspection process instilled such confidence that AAEON consequently chose to deploy it in its own factories, using an AOI device to obtain data and the MAXER-2100 to run the vendor’s defect detection models to determine whether various components passed or failed. This reduced AAEON’s reliance on manual inspection and increased the accuracy and speed of its PCB assembly line’s quality inspection process.