Abstract: Mobile collection of waste electrical and electronic equipment (WEEE) is convenient for residents and companies. Aiming at the problem that the model is difficult to be accurately identified during the recycling process of used mobile phones, a method for identifying the model of used mobile phone was proposed in this paper based on convolutional neural network. First, the edge detection algorithm was used to construct the mobile phone model of feature database of identification area. Second, a mobile phone recognition model of siamese convolutional neural network (S-CNN) was constructed to obtain the fast feature of used mobile phone images. Finally, an adaptive learning rate mobile phone recognition model parameter training method was designed to improve the accuracy of mobile phone model recognition. The method was applied to the sorting of used mobile phones in different scenarios. The experimental results show that the method has good speed and accuracy.