Bolt Defect Detection Based on CenterNet Model.

Bolts are used to connect various components in power electricity substation. Once lost, it will cause disasters. Therefore, accurate detection of bolt loss is a very important task. Generally speaking, the bolts are small and numerous. If manually inspected, the workload is huge and easy to miss. In this paper, an anchor-free target detection method is proposed to detect the bolt defect. This paper uses CenterNet as a standard to conduct a comparative experiment, and the results show that the method in this paper is significantly improved. In the experiment, the accuracy and callback rate of CenterNet are increased by 8.7% and 4.2% respectively compared with other methods.