Oct 2026· International Journal of Engineering and Modern Technology· 0 citations
Abstract
The growing global challenge of waste management, particularly in urban settings, necessitates
innovative solutions to mitigate environmental pollution, health hazards, and operational
inefficiencies in traditional waste collection methods. This paper presents the design and
implementation of an IoT-based smart trash bin system aimed at optimizing waste management
processes through real-time monitoring of waste levels and the detection of hazardous gases. The
system integrates laser diode sensors for waste level detection and gas sensors including TGS2611
and MQ135, for monitoring methane and ammonia emission. These sensors, combined with the
ATMEGA128p microcontroller and SIM808 GSM module, allow for seamless data transmission
to the ThingSpeak cloud platform for analysis and timely decision-making. The system was tested
under various conditions, demonstrating high accuracy in fill-level monitoring and gas detection,
with response times averaging 5.6 seconds. By providing real-time insights into waste
accumulation and environmental conditions, this smart trash bin system offers an efficient, costeffective, and scalable solution for municipalities and waste management authorities. The
integration of IoT technology into waste management enhances operational efficiency, reduces
environmental hazards, and promotes sustainable urban development. Future work will focus on
improving system scalability and minimizing reliance on internet connectivity, making the solution
viable for broader applications in both urban and rural settings.
The Smart Waste Management System using Internet of Things (IoT) is an innovative solution designed to improve the efficiency of waste collection and monitoring in urban areas. Traditional waste management systems often face challenges such as overflowing bins, inefficient collection routes, and increased operational c...
Harshad Rasve, Swapnil Yerewad, M. Bhise et al.· International Journal of Cre...· 0 citations
The research legalizes the stable assembly of multi-sensor data, the timely automatic lid initial and finishing, local detection of metal substances, stable wireless communication, fruitful synchronization with the cloud based on REST, and the organized storing of real-time excess records.
Dipti S. Sawarkar, V. Taksande, Manoj Demde· International journal of com...· 0 citations
The proposed IoT-enabled smart waste management system with integrated route optimisation will significantly reduce operational costs, travel distance, and energy consumption while improving waste collection efficiency, and promoting sustainable urban sanitation practices.
D. Sako· WORLD JOURNAL OF INNOVATION...· 0 citations
An IoT-Based Municipal Waste Management Platform that integrates real-time bin monitoring with cloud-based data management and collection coordination and an evaluation methodology covering fill-level estimation, alert latency, data transmission reliability, and collection coordination is proposed.
Shubham Digambar Barka Sangita K. Chaudhari, Neha Kiran Bhalerao, Tanvi Manoj Sonawane, Shravan Sandip Narlawar· International Journal of Adv...· 0 citations
CleanCity-BinSense addresses inefficiencies in urban waste management in developing cities, where fixed-schedule collection routes lead to overflowing bins and wasted fuel. This paper presents CleanCity-BinSense, a low-cost, end-to-end IoT-enabled smart waste management system for scalable real-time waste monitoring an...
Mohammad Adnan Kabir, Intifad Muhammad Sayeed· 0 citations
These findings demonstrate that the proposed system provides a reliable, energy-efficient, and sustainable solution for autonomous real-time air quality monitoring and early warning applications in remote forest environments, supporting rapid disaster response and environmental surveillance.
M. Amrillah, E. N. Widjatmoko, P. Latuheru et al.· JET (Journal of Electrical T...· 0 citations
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