Substation outdoor instrumentation detection algorithm based on improved YOLOv5

Abstract

With the increasing popularity of substation inspection robots, the localization and detection of outdoor inspection pictures gradually becomes the focus and difficulty of research. For outdoor substation meters, in different weather conditions, for the current stage of detection algorithm model complexity is high, easy to the detection of the target caused by low recognition rate, is not conducive to the rapid deployment of practical applications and other problems, proposed an improved YOLOV5-based substation detection algorithm, the algorithm uses YOLOv5 + CBAM attention mechanism module to detect meter dials, for different weather conditions The algorithm uses YOLOv5+CBAM attention mechanism module to detect meter dials, which is of great significance to identify meter dials accurately and quickly under different weather conditions and further realize intelligent inspection of substations.