Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin
This addresses waste management inefficiencies for urban or smart city applications, but it is incremental as it applies existing technologies to a specific use case.
The paper tackles the problem of automated waste sorting by developing a smart trash bin that uses computer vision and IoT to classify garbage with 90% accuracy, enabling remote management via a mobile application.
The research reported in this paper transforms a normal trash bin into a smarter one by applying computer vision technology. With the support of sensors and actuator devices, the trash bin can automatically classify garbage. In particular, a camera on the trash bin takes pictures of trash, then the central processing unit analyzes and makes decisions regarding which bin to drop trash into. The accuracy of our trash bin system achieves 90%. Besides, our model is connected to the Internet to update the bin status for further management. A mobile application is developed for managing the bin.