Optimized YOLOX Based Transmission Line Bolt Cascade Detection

Bolts are important parts of transmission lines, and their states are closely related to the safe operation of transmission lines. Compared with insulators, U-shaped rings, and other fittings, bolts are small objects, and the detection of bolt and pin missing is difficult for transmission line patrol video analysis. This paper optimizes the parameters of the YOLOX network to adapt to the multiscale object detection task in the complex scene of the transmission line, and proposes a cascaded network model. The cascaded network locates the important large-scale fittings with bolts by the first layer and then detects the small-scale bolts on the fittings by the second layer, which greatly improves the detection accuracy of the small bolts. Finally, the effectiveness of the method is verified by experiments. The experimental results show that the cascaded YOLOX network can accurately detect the bolts that are originally difficult to detect. It effectively solves the problems of low detection rate of small bolts and pin missing defects.