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This work is licensed under a Creative Commons Attribution 4.0 International License.
Smart Waste Segregation and Monitoring System Using IoT
Abstract: The increasing generation of waste demands efficient and accurate segregation methods. This project presents an IoT-based Automated Waste Segregation System that classifies waste into four categories: wet, dry, plastic, and metal. The system uses an ESP32 microcontroller integrated with moisture, inductive proximity, infrared, and ultrasonic sensors for detection and monitoring.
A conveyor belt mechanism with stepper and servo motors enables automatic sorting based on multi-stage sensing. The system also uses MQTT and HiveQL cloud for real-time monitoring through a web dashboard. Key advantages include low cost, reduced human effort, improved accuracy, and efficient handling of biodegradable wet waste.
This solution supports smart waste management and contributes to better recycling and environmental sustainability.
A conveyor belt mechanism with stepper and servo motors enables automatic sorting based on multi-stage sensing. The system also uses MQTT and HiveQL cloud for real-time monitoring through a web dashboard. Key advantages include low cost, reduced human effort, improved accuracy, and efficient handling of biodegradable wet waste.
This solution supports smart waste management and contributes to better recycling and environmental sustainability.
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This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Prof. Rita Pawade, Vipul S. Manbhe, Shreya S. Wasnik, Kashish R. Shende, Tushar V. Gore, Govinda K Belekar, Yuvraj L. Wadaskar, βSmart Waste Segregation and Monitoring System Using IoT,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15408