Trashtech: IoT & AI-Based Smart Waste Monitoring App for Cities

Abstract

Waste accumulation is a significant issue in urban areas, where large volumes of waste pile up and often become normalized by the community. In regions like Bogor Regency, with a population of 5,489,539, this problem is especially crucial, impacting both the environment and public health.

To address this, the implementation of an automated waste monitoring system based on the Internet of Things (IoT) and Artificial Intelligence (AI) offers a promising solution. This research presents a system that utilizes ultrasonic sensors connected to an ESP32 module to monitor waste volume in real-time, with LED indicators signaling when a trash bin is full.

A mobile application is integrated into the system to provide data from the sensors and send alerts when waste levels approach capacity, facilitating timely waste collection. The results of this study demonstrate that the automated system effectively supports waste management, improves efficiency, and contributes to the development of a smart city with an environmentally friendly focus.

Furthermore, the system’s potential to integrate with regional cleanliness programs underscores its scalability and applicability to other urban areas facing similar challenges, offering a sustainable solution for future waste management strategies.