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In this paper, a new type of surface rust detection for wall-climbing robot is proposed in order to surmount the shortcomings of current wall-climbing-cleaning robots. It takes advantage of OpenCV to establish a detection system, and uses QT to do the experimental analysis. The experimental results show that the detection system can complete the rust spot recognition of the image of the wall-climbing-cleaning robot, which makes the foundation for the intelligent trajectory planning of thedoi:10.12783/dtcse/cscme2019/32570 fatcat:mf2ibazjvzh4bcffpmwiot44em