Safety Wood Barrier Wear Detection Model Based on YOLOX Algorithm
Safety blocks are used to prevent entanglement accidents in the wire rope of the lifting device.Research on quickly and accurately detecting the wear of the blocks is of great significance to ensure the stable operation of the lifting device and the normal production of the mine.The YOLOX algorithm has fast detection speed and high recognition accuracy,and is widely used in industrial object defect detection.The safety log wear detection algorithm proposed in this article is based on the YOLOX algorithm model.First,during the operation of the underground hoisting device,pictures of the wear conditions of the wire rope and the safety log are collected and the data is enhanced;then the data set is trained based on the YOLOX al-gorithm.The underground detection results show that the safety barrier wear detection algorithm can be used in harsh underground working environments and maintain good accuracy.
万方数据
维普
