Design of Intelligent Sanitation Robot System Based on Raspberry pi and Deep Learning

Abstract

An intelligent sanitation vehicle robot system based on deep learning algorithm is designed. The main control of the system is the raspberry pi development board, which collects the ground garbage pictures through the camera, uses the lightweight deep learning target detection algorithm YOLOV4-Tiny to detect the garbage pictures, uses the PID algorithm to control the robot arm to locate the garbage target, picks up the garbage and puts it into the corresponding garbage bin, thus realizing the collection and intelligent classifi cation of the ground garbage. Train the deep learning model on the PC side, and then deploy the trained model into the embedded system.