Analysis of Automatic Recognition Algorithm of Robot Visual Shape Features Based on Genetic Algorithm

Robot vision is an important aspect of computer science and artificial intelligence research. It mainly simulates human visual function through computer application technology, and analyzes and processes the information extracted from the image to achieve the actual detection and control effect. Firstly, this paper introduces the shape analysis method combining genetic algorithm and visual algorithm. Through the analysis of the results of the motion analysis experiment of the automatic mobile robot in linear motion, the actual theoretical speed is 0.199m/s, and the robot analyzes the turning motion of the mobile robot at a speed of 0.2m/s, and the actual turning speed is 0.2m/s, and the one-time optional turning is 360. Finally, this paper mainly analyzes and studies the feature recognition and classification methods of workpieces based on machine vision to help people better understand the classification and recognition technology of machine vision.