Research of Waste Sorting System Based on Convolutional Neural Network. Issue 2 (May 2021)

• Record Type: Journal Article
• Authors: Cheng, Jingyi; Pang, Qiang
• Is Part Of: IOP conference series. Volume 769:Issue 2(2021)
• Publication Date: 2021-05
• Subjects: Garbage classification -- Convolutional neural network -- Raspberry pi -- Machine vision; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/769/2/022006
• Languages: English
• ISSNs: 1755-1307

Abstract

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.