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@article{202011,
        author = {Kavya T and Suma B V and Kushi R and Manasa K G and Meghana S N},
        title = {IoT Enabled Raspberry Pi Based Three-Dimensional Waste Segregation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {5817-5819},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202011},
        abstract = {Waste management is a critical issue in urban environments due to increasing population and improper segregation practices. This project proposes an IoT Enabled Raspberry Pi Based Three-Dimensional Waste Segregation System for automated classification of waste into wet, dry, and hazardous categories. The system utilizes moisture, inductive proximity, IR, and ultrasonic sensors to detect waste characteristics. A Raspberry Pi 4 Model B processes sensor inputs and controls servo motors for appropriate waste sorting. IoT integration using Wi-Fi and MQTT protocol enables real-time monitoring of bin fill levels through cloud platforms such as ThingSpeak. The proposed system enhances efficiency, reduces human intervention, and promotes hygienic and sustainable waste management solutions.},
        keywords = {IoT, Raspberry Pi, Waste Segregation, Smart Bin, Sensors, Embedded Systems.},
        month = {May},
        }