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Research Article

Smart Waste Management System Using IoT

Jaison T.M1 Jefin John2 Karthik sivan3 Vinayakan. H4 Dr. Teena Joseph5
1,2,3,4 B. Tech, Department of Computer Science, St. Thomas College of Engineering and Technology (STCET), Chengannur, Kerala, India. 5Professor, Department of Computer Science (AIML), St. Thomas College of Engineering and Technology (STCET), Chengannur, Kerala, India.

Published Online: May-June 2024

Pages: 04-08

Abstract

Waste collection and management are integrated parts of both city and village life. Lack of an optimized and efficient waste collection system vastly affects public health and costs more. The prevailing traditional waste collection system is neither optimized nor efficient. The Internet of Things (IoT) has been playing a great role in making human life easier by making systems smart, adequate, and self-sufficient. Thus, this paper proposes an IoT-based, efficient waste collection system with smart bins. India generates tons of waste annually. Conventional garbage collection is not efficient since the authorities are not notified until the waste bin is full, and this leads to an overflow of waste material. Efficient waste disposal and collection are essential for a sustainable and clean India. A smart waste management system uses an IoT-based waste bin for collection and monitoring the level of waste inside the bin. The system does real-time monitoring of the waste bins and determines which are to be emptied. The system is implemented using two ultrasonic sensors. One of the ultrasonic sensors detects the level of waste in the bin, and the other detects the person approaching the bin to dispose of the waste. This detection helps with the automatic opening and closing of the lid. A servo motor is connected to the lid, which serves the action of closing and opening the lid. In this system, the level of waste in the bin will be sent to the concerned authorities. Thus, it reduces fuel costs and human labor, making the system optimized and efficient by enabling real-time monitoring and enhanced navigation.

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