Design and Implementation of Intelligent Classified Garbage Bin

This paper presents a design of an automatic classification garbage bin based on AI image recognition, which uses Jetson Nano as the collection, recognition, control, and interaction terminal. A lightweight AI recognition network, GhostNet, is used to recognize life garbage such as aluminum cans, plastic bottles, fruits, and batteries, and then the garbage is put into different small trash bins according to the results, and can achieve full-load alarm and garbage compression function. At the same time, the human–computer interaction interface is written using PyQt to expand the system functions. Through the verification of physical garbage input, this system can achieve the above functions well and can be applied in practical scenarios.