IoT-based Smart Waste Segregation and Monitoring System
Mazharul Islam
Department of Computer Science, University of Science and Technology Meghalaya, India.
Atowar ul Islam
*
Department of Computer Science, University of Science and Technology Meghalaya, India.
Abunur Anchari
Department of Computer Science, University of Science and Technology Meghalaya, India.
Sushanta Dev Borah
Department of Computer Science, University of Science and Technology Meghalaya, India.
*Author to whom correspondence should be addressed.
Abstract
Accelerated urbanisation coupled with continuous population growth has substantially amplified the volume of solid waste generated, thereby rendering effective waste management an urgent and complex challenge. Inadequate segregation at source and delays in waste collection frequently contribute to environmental contamination and pose considerable risks to public health.This paper presents an IoT-based smart waste segregation and monitoring system designed to automatically separate waste into dry, wet, and metallic categories while continuously monitoring bin fill levels. The proposed system uses an ESP32 microcontroller integrated with IR, rain (moisture), metal, and ultrasonic sensors to detect waste type and bin status. A stepper motor and servo motor mechanism ensure accurate positioning and controlled disposal of waste into the appropriate bins. Real-time monitoring and alert notifications are enabled through the Blynk IoT platform, allowing timely collection and preventing bin overflow. Experimental results demonstrate reliable segregation, accurate level sensing, and stable IoT communication. The system offers a low-cost, compact, and scalable solution suitable for smart city waste management applications.
Keywords: IoT, smart waste management, waste segregation, ESP32, ultrasonic sensor, stepper motor, servo motor, Blynk IoT, smart city