Study on High-Efficient Derusting Method for Vision-Based Derusting Robot

In this paper, a new type of high-efficient derusting method for wall-climbing-cleaning robot is proposed in order to surmount the shortcomings of current wall-climbing-cleaning robots. It takes advantage of Open Source Computer Vision Library (OpenCV) to establish a detection system, and uses a development framework called QT to do the experimental analysis. The experimental results show that the system can complete real-time image recognition in the working environment of the wall-climbing cleaning robot, which makes the foundation for the intelligent trajectory planning of the wall-climbing-cleaning robot.