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@article{184529,
        author = {Gaurang Bagwe and Pooja Gavhane and Ayush Pathak and Pankaj Bagul and Varad Bachal},
        title = {SmartBin using IOT: Optimizing Urban Waste Collection through Sensor-Based Automation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {4656-4658},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184529},
        abstract = {Rapid urbanization and population growth have intensified challenges in municipal solid waste (MSW) management. Traditional collection systems, which often operate on fixed schedules, lead to inefficiencies like overflowing bins, increased operational costs, and environmental concerns. This paper proposes an IoT-enabled SmartBin that uses sensor networks, real-time monitoring, and intelligent routing to optimize waste collection. By integrating LoRa communication, ultrasonic sensors, and cloud-based analytics, the system enables dynamic scheduling and waste segregation at the source. Experimental results and case studies from recent implementations show that the proposed system enhances efficiency, reduces collection frequency by up to 40%, and contributes to a cleaner urban environment.},
        keywords = {Deep Learning, IoT, LoRa, Sensor Networks, Smart City, Smart Waste Management, Waste Segregation.},
        month = {November},
        }