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@article{195900,
        author = {Ezhil sri K and Kanamani T and Meenakshi Shalini R and Boobalan M},
        title = {Waste Segregation Monitoring System for Urban Local Bodies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1629-1638},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195900},
        abstract = {Rapid urbanization has intensified municipal solid waste management challenges, making traditional fixed-schedule collection inefficient. This project proposes a Smart City Waste Management System integrating sensors, automation, and machine learning to monitor bin status, manage lids during adverse weather, compress waste, and segregate degradable and non-degradable materials. The system uses an Arduino microcontroller to automatically classify waste into metal, wet, and dry categories using different sensors. An IR sensor first detects the presence of waste in the input bin. A metal sensor checks if the waste is metallic; if not, a moisture sensor determines whether it is wet or dry. Each bin has an IR sensor to monitor its level, and when full, a compression mechanism compacts the waste to increase storage capacity. When the rain sensor detects rainfall, it sends a signal to the microcontroller to activate the servo motor and close the bin lid. When the rain stops, the sensor detects the absence of water and the microcontroller opens the lid automatically. This helps prevent rainwater from entering the bin and keeps the waste dry, health hazards can be minimized by this. The system enables intelligent monitoring and prediction, improving collection efficiency, urban cleanliness, and environmental sustainability.},
        keywords = {Automatic Waste Classification, Bin Level Monitoring, Waste Compression Mechanism, Automatic Lid Control Mechanism.},
        month = {April},
        }