X-ray Inspection Machine

GPU and CPU SSE acceleration is applied for fast processing, and all operations can be completed in 200MS when processing a 5-megapixel battery image;

Equipped with 1/100 ultra-high sub-pixel processing cathode and anode detection algorithm and AI multi-layer convolutional neural network joint comprehensive operation, the processing accuracy is high and the anode and cathode points are close to the level of the human eye;

The NG type identification and classification function can accurately identify and classify common NG types such as the alignment of the positive and negative electrodes of the battery, as well as the statistical maximum value, minimum value, mean value, positive electrode difference, and negative electrode difference.