The recycling efficiency of waste leadacid batteries in China is low and still remains in manual sorting and recycling treatment. Therefore, an intelligent disassembly method based on machine vision was proposed. After the images of leadacid battery was collected by industrial camera, the size detection was completed through denoising, binarization, connected domain extraction, edge detection and making the minimum peripheral rectangle of the edge image; through HSV color segmentation and Blob connected domain detection, the number of slots was detected; the relevant detection information obtained was used to control the cutting machines to cut and recycle waste leadacid batteries. Through this method, high speed and high precision detection are realized, the recovery rate and efficiency of the battery are improved, and the pollution to the environment is reduced.