Research of Waste Sorting System Based on Convolutional Neural Network
Jingyi Cheng, Qiang Pang · IOP Conference Series Earth and Environmental Science · 2021
Abstract As the civilization progresses, the issue of garbage classification is becoming of widespread concern for the global community. Traditional garbage classification has problems such as low efficiency, high cost and poor classification effect. In response to these problems, a new garbage classification system based on convolutional neural network algorithm is proposed. It combines software and hardware realizing the functions of identification, classification and unified management of garbage. Advantages, such as high efficiency, low cost, accuracy and stability, have been demonstrated.