关键词: 汽车制造；视觉识别；深度学习；神经网络

Abstract: In the current riveting production process of Passat roof, manual visual inspection is used to check whether there is rivet omission, which is inefficient, and there are problems such as wrong inspection and missing inspection. In this paper, the deep learning convolution neural network is introduced into the roof riveting detection, and a convolution neural network algorithm based on ReLU activation function is proposed. Experiments show that the algorithm has high accuracy and strong robustness, which provides a new idea for the application of deep learning to vehicle body visual detection, The success rate of experimental detection reaches 99.87%, meet the quality assurance requirements in the production process, which has guiding significance for the engineering application and promotion.

Key words: Automobile manufacturing; Visual recognition; Deep learning; Neural network