International Research Journal of Engineering and Technology (IRJET) Volume: 12 Issue: 11 | Nov 2025
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
INTEGRATION OF IOT AND AI FOR SMART WASTE MANAGEMENT SYSTEM VinothKumar T1, Mr. M SathishKumar2 1PG Student, Department Of Computer Applications, Jaya College Of Arts and Science, Thiruninravur,
Tamilnadu,India
2Assistant Professor Department Of Computer Applications, Jaya College Of Arts and Science, Thiruninravur,
Tamilnadu,India ---------------------------------------------------------------------***--------------------------------------------------------------------and *Artificial Intelligence (AI)* offers a modern and Abstract - The rapid growth of urban populations and efficient solution for Management System*.
unsustainable waste management practices are leading to severe environmental, economic, and public health challenges. Traditional waste collection systems, which often rely on fixed schedules, are inefficient, resulting in unnecessary fuel consumption, increased operational costs, and overflowed bins. This paper proposes a novel smart waste management system that integrates Internet of Things (IoT) and Artificial Intelligence (AI) to optimize the entire process. The system utilizes ultrasonic sensors installed in smart bins to monitor waste levels in real-time. This data is transmitted via a LoRaWAN network to a centralized cloud platform. An AI-powered predictive analytics module then processes this data, along with historical and contextual information (e.g., location, day of the week), to forecast waste accumulation patterns and generate dynamic, optimal collection routes and schedules for sanitation vehicles. The proposed system was implemented and evaluated through a simulation model and a small-scale prototype. Results indicate a potential reduction in collection frequency by up to 40% and a decrease in total distance traveled by collection vehicles by over 30%, significantly cutting operational costs and carbon emissions. Furthermore, the real-time monitoring capability prevents bin overflow, thereby improving urban cleanliness. The study concludes that the integration of IoT and AI presents a robust, scalable, and sustainable solution for modern urban waste management, transforming it from a static, reactive service into a dynamic, efficient, and intelligent one.
Waste
Waste management has become one of the major challenges in modern urban environments due to rapid population growth and industrialization. Traditional waste collection systems often follow fixed schedules without considering real-time waste levels, resulting in inefficiency, higher operational costs, and environmental pollution. To overcome these limitations, researchers have explored the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies to create smart and efficient waste management systems. Rathore et al. (2018) developed an IoT-based smart bin system that uses ultrasonic sensors to monitor the fill level of bins in real time. The collected data is transmitted through wireless networks to a central server for monitoring and decision-making. This system minimized manual inspection and optimized waste collection schedules.
In recent years, rapid urbanization and population growth have led to a significant increase in waste generation, creating major challenges for municipalities and the environment. Traditional waste management methods often rely on manual monitoring and fixed collection schedules, which result in inefficiency, increased operational costs, and environmental pollution. To address these issues, the integration of *Internet of Things (IoT)*
Impact Factor value: 8.315
*Smart
2. LITERATURE REVIEW
1.INTRODUCTION
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IoT enables real-time monitoring of waste levels through smart sensors installed in bins, which collect and transmit data on waste volume, temperature, and bin status to a centralized system. AI technologies, on the other hand, analyze this data to optimize collection routes, predict waste generation patterns, and support decision-making processes. The combination of IoT and AI not only improves resource utilization and reduces operational costs but also promotes sustainability and cleaner urban environments. This intelligent system contributes significantly to the development of *smart cities*, where technology is leveraged to enhance public services and environmental management.
KeyWords : Internet of Things (IoT), Artificial Intelligence (AI), Smart Waste Management, Machine Learning, Waste Segregation, Smart Bin
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developing
Longhi et al. (2019) proposed a smart waste management framework using IoT-enabled devices combined with a cloud-based data analysis system. Their study demonstrated that sensor-based monitoring of waste levels can significantly reduce collection frequency and transportation costs.
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