KeyeTech Core Technology of Industrial Vision Inspection AI 2.0 Era – “Good Product Training Model”

Keye Technology leads innovation, based on two modules of deep learning, supervised and unsupervised, combined with practical experience, to independently develop the core technology of Industrial Vision inspection AI 2.0 era – “Good Product Training Model”. It is divided into anomaly inspection and anomaly defect inspection, which can efficiently deal with problems such as small defect samples, long model construction cycle, low product changeover efficiency, and complicated labeling process.

The core advantages of good product training are that major defects do not require labeling, product model can be quickly changed, sample training time is fast, unknown defects can be detected, defect sample collection time is short, and serious defects are not missed by industrial vision inspection. The anomaly detection model only needs to use good quality images to perform pixel level detection and whole image classification of known and unknown defects, achieving fast online verification.

The anomaly defect detection model is designed to address small defect scenarios by adding annotated data to further optimize the detection model and effectively enhance detection flexibility.

The combination of the good product inspection model with existing defect models, classification models, segmentation models, and object detection models significantly improves detection performance and comprehensive recognition capabilities. No matter the size of the defect, known or unknown, it can achieve fast and accurate identification by industrial visual inspection, reduce the missed detection rate, and provide strong guarantees for the stable operation of the production line and product quality. The upgraded bidirectional training model can better facilitate industrial vision inspection and provide higher detection efficiency.