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IT4010 Research Project 4th Year, 1st Semester Final Report IT21166488 Maleesha K.L.D.D.S B.Sc. (Hons) Degree in Information Technology Sri Lanka Institute of Information Technology April 2025
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DECLARATION We declare that this is our work, and this proposal does not incorporate without acknowledgement any material previously submitted for a degree or diploma in any other university or Institute of higher learning and to the best of our knowledge and belief it does not contain any material previously published or written by another person except where the acknowledgement is made in the text. Name Student ID Signature Maleesha K.L.D.D.S IT21166488 The above candidate is carrying out research for the undergraduate Dissertation under our supervision. ……………………………………. …………………………………….10/04/2025 Ms. Wishalya Tissera Date (Supervisor) 2
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ABSTRACT Traditional waste management systems are increasingly becoming incompetent, more so with rapidly growing urban populations, leading to challenges of overflowing dumpsites, compromised routes, inefficiency, and heightened environmental concerns. There is the development of a Smart Waste Management System that approaches the issue through the strength of the IOT, computer vision, and machine learning to design an intelligent, responsive, and efficient waste management system. Optimally, how waste collection processes could be managed would result in cost savings and a cleaner urban environment. Waste type classifiers at the core of the system use machine learning algorithms to identify different types of waste and assist in automatic sorting to improve recycling processing. The waste bins will be endowed with computer vision capabilities through a design of the garbage bin recognition model to cut down the activities that go on in waste collection for the ease of disposing of waste from the waste bin into the collection unit. System-wise, an interactive mechanism for the user and an audio feedback voice will be applied to ensure proper discernment of the type of waste being disposed of, along with its disposal technique. The plan is also to implement IoT-enabled sensors inside waste bins to monitor fill levels in real-time. The current project encompasses the nature of filling levels, providing real-time notification, and gaining better insights into the pattern of waste generation across various urban setups. The system functionalities and hygiene can even be enhanced significantly by introducing a small-scale robotic arm that will automatically open the bin cover whenever a user approaches, hence making the complete process touchless and sanitary in terms of disposing of the waste. This project stands distinguished with the use of features like real-time monitoring, audio feedback, and automatic bin cover operation, which one would not find in conventional waste management systems. Real-time monitoring of the fill-up level of bins will not only support the infrastructure in following up the needs efficiently, but it will also help in achieving cities that are cleaner, smarter, and more sustainable in the environment. The expected results include but are not limited to cost reduction in waste collection, increased rates of recycling, and a general positive influence on public health, affecting the cleanliness of cities. 3
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ACKNOWLEDGEMENT First and foremost, I would like to express my sincere gratitude to my supervisor, Ms. Wishalya Tissera, for the constant guidance and support that always helped me with the successful completion of my undergraduate research. Besides my supervisor, my sincere thanks also go to Miss Hansi De Silva, the co-supervisor of this research project, for being willing to help whenever it was needed. 4
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