Eco Track: Enabled Waste Fill-Level & Moisture Monitoring

Rapid urbanization and population growth have significantly increased the volume of waste generated daily, putting immense pressure on traditional waste management systems. Inefficient collection processes, overflowing bins, and lack of timely monitoring contribute to environmental pollution and health hazards. To address these challenges, this paper presents a Smart Waste Management System utilizing Internet of Things (IoT) technology to automate and optimize the waste collection process. The system employs sensor-equipped garbage bins, primarily using ultrasonic sensors, to detect the fill level of each bin. These sensors send real-time data to a centralized cloud server through wireless communication modules. The collected data is analysed to determine optimal collection times and routes, thereby reducing fuel consumption, operational costs, and unnecessary trips by waste collection vehicles. Additionally, a mobile and web-based application interface is developed for both municipal staff and users to monitor bin status, receive alerts, and manage collection schedules efficiently. The system ensures timely waste disposal, prevents bin overflow, and contributes to a cleaner, healthier environment. Integration of GPS tracking and route planning enhances decision-making and resource allocation. This IoT-based approach not only streamlines the overall waste management workflow but also supports the vision of smart, sustainable cities. The proposed system demonstrates high scalability, cost- effectiveness, and the potential for real-world deployment in urban and semi-urban areas. keywords—Smart Waste Management, Internet of Things (IoT), Real-Time Monitoring, Ultrasonic Sensors, Cloud Computing, Route Optimization, Environmental Sustainability.