Smart E-Waste Bin Development Based on YOLOv4 Model
Gabriel Avelino Sampedro, Ryanne Gail C. Kim, Yohana Jayanti Aruan, Dong‐Seong Kim, Jae‐Min Lee
Abstract
As smart cities are being developed, innovations to the waste management are one of the focus areas of research. Various efforts are done to make the process seamless on the side of the consumer. In this research, the proponents focus on the development of a smart e-waste bin that can identify the type of e-waste deposited and reward users for their deposit. The system makes used of You Only Look Once v4 (YOLOv4) in identifying types of e-waste. In testing the device, various tests are performed and the precision, recall, and accuracy are all evaluated. In this research, the developed system can successfully identify the type of e-waste deposited with an average accuracy of 93.33%.