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@article{204752,
        author = {Saranya M and Madhumitha S and Girija P and Vijay Krishna P and Mary Tancy J},
        title = {Smart waste segregation system using IoT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {4208-4213},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204752},
        abstract = {Rapid urbanization has significantly increased the volume of municipal solid waste, creating complex challenges in waste collection, segregation, and disposal. Traditional waste management systems rely on manual sorting and routine inspection, which is time-consuming, unhygienic, and inefficient. This paper presents a Smart Waste Segregation System using Internet of Things (IoT) that automates waste classification and real-time bin monitoring. The system segregates waste into three categories — liquid, metal, and dry — using IR sensors, a liquid (moisture) sensor, and a metal detection sensor. An ESP32 microcontroller processes sensor data and controls a servo motor to direct waste into the appropriate compartments. Fill levels of each compartment are continuously monitored, and automatic alert notifications are sent to municipal authorities via an IoT cloud platform (Blynk) when bins approach full capacity. A surveillance camera provides real-time visual monitoring of bin surroundings. The system reduces manual labor, improves hygiene, promotes recycling, and aligns with smart city initiatives. Experimental results confirm accurate waste classification and reliable real-time monitoring, making the solution both technically and economically feasible for urban deployment.},
        keywords = {IoT, Smart Waste Management, ESP32, Waste Segregation, IR Sensor, Cloud Monitoring, Servo Motor, Smart City},
        month = {June},
        }