i-BIN: An Intelligent Trash Bin for Automatic Waste Segregation and Monitoring System
Miko Pamintuan, Shiela Mae Mantiquilla, Hillary Reyes, Mary Jane C. Samonte · 2019
In the recent years, one of the underlying effects of a growing population is environmental hazard. Of these problems, the increasing amount of trash is the most critical. As the world's population continues to rise at an unprecedented rate, waste management is seen as an effective solution to mitigate the issue. In this project, Internet-of- Things were utilized to design an automatic waste segregation system. Specifically, we developed a trash bin equipped with sensors, which can intelligently segregate waste system that provides monitoring report of waste collection. Image recognition was used to process automatic classification of trash using machine learning technique. Upon training more than 2000 samples for biodegradable and non-biodegradable waste, the developed prototyped were able to classify trash efficiently.