Design of Intelligent Garbage Classification and Disposal System Based on Raspberry Pi

This article designs an intelligent garbage classification and disposal system based on Raspberry Pi to solve the problems of low efficiency and poor accuracy in current garbage classification. In terms of hardware, the system uses Raspberry Pi as the control center, combined with components such as cameras, voltage reduction modules, and servos, to achieve the classification and disposal of garbage. In terms of software, the system utilizes OpenCV and lightweight Yolov5Lite object detection algorithm, and performs image processing and recognition through Python to automatically identify garbage categories and control the servo gimbal to throw garbage into the corresponding garbage bin. The experiment shows that the system can maintain high recognition accuracy under various lighting conditions, proving its effectiveness. This system not only improves the efficiency and accuracy of garbage classification, but also enhances public awareness of environmental protection, providing new technological means for promoting urban garbage classification.