In this paper, the YOLOv9 algorithm is used to realize the real-time positioning detection of electrical connectors. Firstly, the camera was used to collect images of the electrical connectors that needed to be detected, and the collected pictures were classified into data sets. Meanwhile, the electrical connectors were classified and labelimg was used to label the category boundary box. Then the labeled data sets were put into the YOLOv9 model for training. According to the trained electrical connector detection model, the detection and identification of electrical connector are realized.