Issue |
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
|
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Article Number | 01031 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202450701031 | |
Published online | 29 March 2024 |
IoT-based smart garbage monitoring system and advanced disciplinary approach
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India.
2 Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq.
3 Department of Mechanical Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India.
4 Lovely Professional University, Phagwara, Punjab, India.
5 Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, Uttar Pradesh, India.
* Corresponding author: mallikarjuna1726@grietcollege.com
The rapid urbanization and population growth in cities have led to an unprecedented increase in municipal waste generation. Efficient management of this waste is crucial to maintaining a clean and healthy environment. Traditional waste management methods often fall short in addressing the dynamic nature of waste generation patterns. This project presents a Garbage Monitoring System (GMS) that utilizes advanced sensor technologies and data analytics to revolutionize waste collection processes in urban areas. The system integrates different sensors, devices for communication, and software applications to furnish real-time monitoring and data analysis for waste management. The system not only enhances the operational efficiency of waste management but also promotes environmental sustainability. By optimizing collection schedules, reducing waste overflow, and reducing environmental negative impact, the system represents a significant step towards building smart and eco-friendly cities. The approach is to help in an innovative way while collecting garbage and monitoring systems in an effective way.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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