Innovative Waste Management: The Efficiency of IoT-Enabled Smart Bins
Shiva Mehta, Abhinav Rathour
Abstract
This study is focused on understanding the operation of IoT-based smart bins under a waste management framework that is used in urban setups. The forefront is the objective of tackling the ubiquitous challenge of space garbage and increasing cost inefficiency in highly urbanized areas. This project seeks to assess the capacity of the smart container to enhance the trash pickup efficiency, diminish the environmental impact, and satisfy the community’s required service in a municipal setting by incorporating important features like real-time monitoring and the tracking of the dustbin level. This way implies forming smart bins equipped with ultrasonic, temperature, weight and tilt detectors. These bins, as well as the system architecture that is programmed to receive, transmit and store data, come with a computer software application that is equipped to assemble, encode and decipher data. While a pilot project was carried out in the city within six months, the researcher collected empirical data about garbage buildup patterns, detection accuracy of sensors, reliability system, and the way of optimizing collection routes. The experimental results give the 50% improvement in collection efficiency worth mentioning since now the collection time decreases to two hours against the previous 8 hours. The operational cost decreased by 25%. However, the instances of overspill decreasing by 83.3% indicate the system’s utility in urban waste management. However, a carbon emission impact assessment indicates a significant reduction in carbon emissions that may be directly linked to the optimization of routes for transporting the collections. One of the most important things that had a major effect was the fact that satisfaction ratings among the citizens rose by 1.5 and reached the level of 8.5 on a scale of 10. Indeed, the figures imply that the residents of the city saw an improvement of 30.7% in the way their waste is managed as a result of this program.