Open AccessControl Optimization Method of Substation Inspection Robot Based on Adaptive Visual Servo Algorithm
Author(s) -
Kaifeng Li,
Ziyang Ye,
Junjie Zhang,
Xiaoming Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1676/1/012195
Subject(s) - robot , computer vision , artificial intelligence , offset (computer science) , computer science , visual inspection , servo control , servo , pixel , image (mathematics) , transformation (genetics) , feature (linguistics) , biochemistry , chemistry , linguistics , philosophy , gene , programming language
In order to enhance the accuracy of the target image captured by the substation inspection robot, this paper proposes an AVS algorithm based control optimization method for the substation inspection robot, which uses the feature transformation method to match the image and template image of the substation equipment captured by the robot, verifies the existence status of the target image elements in the image, and calculates the offset pixel correction results to capture more Accurate target image. The experimental results show that the method effectively improves the efficiency of image capture of inspection robot in substation equipment, and has good practical performance.