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Smart city article details

Title Trash Tracker: Iot Based Garbage Monitoring System Using Raspberry Pi
ID_Doc 58936
Authors Sharmila Agnal A.; Suja Bala J.; Shami Priya M.; Varshini P.
Year 2025
Published 2025 International Conference on Computing and Communication Technologies, ICCCT 2025
DOI http://dx.doi.org/10.1109/ICCCT63501.2025.11020070
Abstract Managing waste efficiently in metropolitan cities is a growing challenge, often leading to overflowing garbage bins, environmental pollution, and increased operational costs. TrashTracker is a smart waste management system that leverages IoT and real-time monitoring to optimize garbage collection. Each bin is fitted with ultrasonic sensors that track fill levels empty, half, or full and automatically notify garbage collectors when bins are nearly full. To make collection more efficient, the system uses the A algorithm∗ to determine the shortest route to full bins, reducing fuel usage and labor costs. Additionally, Google Maps integration allows real-time tracking of bin locations, ensuring better coordination. By preventing waste overflow and optimizing collection, TrashTracker helps keep cities cleaner, improves public health, and enhances operational efficiency. This project promotes smart infrastructure, environmental sustainability, and healthier urban living. © 2025 IEEE.
Author Keywords A; Algorithm; Environmental Sustainability; Garbage Monitoring; Google Maps Integration; IoT; Real-Time Monitoring; Route Optimization; Smart Cities; Smart Waste Management; Ultrasonic Sensor; Urban Waste Management; Waste Level Detection


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