Cable Fault Detection and Extraction Based on UAV Collected Images

To ensure the reliability of power supply, power enterprises need to spend a lot of manpower and material resources to inspect power lines every year. With the development of sensor technology and communication transmission technology, the quality of the acquisition of images, the control of flight trajectory, and the reliability of data transmission have been greatly improved, which also makes UAV inspection a reality. Nowadays, it is widely used because of its low cost and high degree of automation. In the era of rapid development of science and technology, the power line image extraction technology is still more difficult. Therefore, in this paper, on the basis of the traditional technology, Robert edge detection operator is improved. On the original basis, the adaptive parameter noise filtering is added to reduce the interference of other object contour in the background, Thence the accuracy of extraction techniques is improved in different intricate background. In the future, further research on the combination of UAV and sensor technology will be of great significance to our life.