AGV Robot Based on Computer Vision and Deep Learning

Abstract

AGV is widely used in automation production, and there are some shortcomings in the current research of AGV. An AGV robot based on computer vision and in-depth learning is proposed. The hardware is composed of car body, power supply, driving device, steering device, precise parking device and controller, etc. The software algorithm adopts convolution neural network structure. Through continuous training of the collected image information, the steering angle of the robot is determined, and realize the virtual path navigation and safety protection, Experiments prove the correctness of the algorithm. The system can be widely used in the field of automation, and has a good reference value for the study of artificial intelligence.