Research on detection of new energy power line based on computer vision

In this paper, an anomaly detection method for transmission lines based on computer vision is proposed. Firstly, the original image is transformed into gray level, then the image quality is optimized by Gamma correction strategy, the line edge information is extracted by Canny algorithm, and the detection target image is obtained by introducing two-dimensional Otsu threshold segmentation technology. Finally, the image to be measured is compared with the image in the knowledge base by computer vision technology, and the similarity is calculated to determine whether the transmission line conductor has broken strands.