| abstract |
A high-precision real-time battery spot welding quality automatic detection method based on deep learning belongs to digital image processing technology and artificial intelligence technology. The method of the invention integrates traditional digital image processing technology and artificial intelligence deep learning technology, and realizes the function of automatic detection of battery spot welding quality in industrial production. In the process of extracting the pads and solder joints of the battery, the method of the present invention adopts a method based on deep learning, which avoids the problems of low accuracy and many parameters to be adjusted in the method based on traditional image features, and improves industrial performance. At the same time, the method in the present invention adopts the traditional digital image processing technology to realize the detection of image brightness, the detection of battery existence in the image, the detection of battery solder joint point penetration, the detection of excessive battery tabs, and the detection of the inclination angle of battery pad placement. And other functions, it solves the needs of automation and intelligence for battery spot welding quality inspection in the actual industrial production process. |