Research on 3D visualization technology of electromagnetic source arc based on machine vision

Computer vision is an important research direction of machine learning, in which binocular stereo vision technology with the advantages of low cost, high speed, appropriate accuracy and simple process has been very mature. As an important perception technology for computer passive detection, binocular stereo vision technology has been widely used in 3D reconstruction, feature detection and other fields, but its application in electromagnetic environment detection and electromagnetic visualization is still limited In this paper, a three-dimensional visualization technology of electromagnetic source based on machine vision is proposed Using binocular camera as sensor and visual SLAM technology, the three-dimensional point cloud image of electromagnetic source high-voltage discharge arc is obtained, the three-dimensional reconstruction of electromagnetic source is carried out, and finally the visualization of 3D point cloud electric and magnetic source arc is realized Through the imaging detection experiment of electromagnetic source arc, the three-dimensional point cloud image of electromagnetic source discharge arc is obtained, which shows that the binocular stereo vision technology can detect the three-dimensional electromagnetic source discharge arc and the feasibility of the three-dimensional visualization method of electromagnetic source arc based on machine vision.