Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin

TL;DR

This paper presents a smart trash bin system that uses computer vision, sensors, and IoT connectivity to automatically classify and manage waste, achieving 90% accuracy and enabling remote monitoring.

Contribution

The paper introduces an integrated AI and IoT-based smart trash bin with automatic classification, real-time status updates, and a management mobile app, enhancing waste management efficiency.

Findings

Achieved 90% classification accuracy.

Enabled remote monitoring and management.

Integrated AI, sensors, and IoT for smart waste handling.

Abstract

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.