In industrial production,the process flow is closely connected and has high technical requirements.Mi-nor changes can easily cause product defects and reduce the yield rate.The intelligent illuminant control quality in-spection device developed by the team utilizes a cascaded neural network and an optimized YOLOv8 model to ac-celerate and accurately detect surface defects.Meanwhile,combined with intelligent illuminant control technology,the device can emit multiple wavelengths of light,adapt to the detection needs of different industrial products,thereby ensuring efficient,accurate,and fast defect identification and classification,improving production efficiency and product quality.
维普
万方数据