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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM32340
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In The Proposed System represents a pioneering solution to address the growing challenges of waste management and environmental sustainability. Leveraging the Internet of Things (IoT) technology, this system offers an automated, efficient, and environmentally responsible approach to waste segregation and monitoring. In this innovative system, IoT sensors are strategically integrated into waste collection bins and containers, enabling real-time monitoring of waste composition and fill levels. These sensors, equipped with various sensors such as ultrasonic sensors, accurately classify waste into dry and wet categories. The data collected from these sensors is transmitted wirelessly to a central data processing unit. Users, including waste management authorities and environmental agencies, gain access to a comprehensive dashboard that provides real-time insights into waste composition, fill levels, and collection status. Data analytics tools process this information, offering actionable insights for optimizing waste collection routes and schedules, reducing operational costs, and minimizing environmental impact. The system’s automation extends to waste collection trucks, which receive optimized route plans based on real-time data. Furthermore, the system enhances public engagement in sustainable waste management practices. Mobile applications allow residents to receive notifications for waste collection schedules, access educational resources on proper waste disposal, and track their own waste contributions. The proposed system is a transformative solution that promotes waste reduction, recycling, and sustainability. By leveraging IoT technology, automation, and data analytics, it enables efficient waste segregation, optimized collection processes, and improved environmental stewardship. This project represents a significant step toward smarter, more sustainable waste management practices for a cleaner and greener future.
KEYWORDS
Publication Date
12/31/45610
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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