High-voltage transmission line nest target detection method based on improved YOLOv5s

The invention discloses a high-voltage transmission line nest detection system design method based on improved Yolov5s. The system is composed of a camera and a bird nest recognition unit, wherein the bird nest recognition unit is composed of a target detection module; the method comprises the following steps: introducing a Yolov5s backbone network into a ShuffleNetv2 module, embedding a CBAM attention mechanism between a Neck network and a Head network, and replacing a CIoU loss function with an EIoU loss function; the method comprises the following steps: firstly, acquiring real-time video image information by a camera, and sending the real-time video image information to a bird nest recognition unit; and judging whether the nest is a bird nest according to an identification result. According to the recognition method, the real-time performance of bird nest recognition on the embedded device can be improved, and real-time detection is achieved. 本发明公开了一种基于改进Yolov5s的高压输电线鸟巢检测系统设计方法；由摄像头和鸟巢识别单元组成，其中鸟巢识别单元由目标检测