Research on Tower Bolt Identification Technology Based on Convolution Network

Abstract

Aiming at the fact that tower bolts are easily affected by factors such as occlusion during the identification process, an improved FasterR-CNN bolt identification method is proposed. In this method, in view of the small size of the detection target and the low resolution of the image, a residual network is added to the traditional FasterR-CNN to improve the efficiency of image recognition. Finally, the above scheme was proved through verification. The result shows that the above method is feasible.