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@article{178613,
        author = {Prof. Sudarsanan D and Rakshith M R and Ruchik S and Ruthik R and Shreyas K},
        title = {IoT-Based Smart Waste Management System for Effective Waste Segregation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8709-8715},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178613},
        abstract = {Waste management has become a significant issue in recent years due to rapid urbanization and population growth. Conventional trash disposal techniques are hazardous to the environment and ineffective. This study suggests a smart waste management system using the Internet of Things (IoT) to manage garbage effectively. The system uses sensors to sort waste, cloud computing to store data, and machine learning to improve processing. By collecting real-time data from waste bins, it enhances recycling and streamlines collection, promoting sustainable urban living. Using real-time data collection and advanced analytics, the proposed approach improves waste collection efficiency, reduces operational costs, and promotes environmental sustainability.
The system makes use of IoT-enabled smart bins with two ultrasonic sensors to monitor waste levels and classify different waste categories. Which Node MCU is responsible for. One ultrasonic sensor detects the quantity of waste in the bin, while another sensor detects a person approaching to dispose of waste. This detection allows the lid to open and close automatically. A servo motor that is mounted to the lid makes it easier to open and close. The collected data is processed in a cloud-based system using machine learning algorithms to enhance trash segregation and optimize collection schedules. Additionally, to ensure efficient waste collection and reduce fuel consumption and travel distances, an AI-powered route optimization system is employed.[2]
The research evaluates numerous IoT-based frameworks and proposes the ideal solution for smart cities. In comparison to traditional waste management techniques, experimental results show that the system is effective in optimizing waste segregation and collection, resulting in a 35% increase in efficiency. [3] This research supports on- going efforts in developing smart cities, opening the door to a cleaner and more sustainable future.},
        keywords = {Internet of Things (IoT), Node MCU, Waste management, sensor technologies,Waste Management, Ultrasonic Sensors.},
        month = {May},
        }