An IoT Based Automatic Waste Segregation and Monitoring System
Riyaj Multani1, Akash Sonawane2, Ganesh Shegokar3, Gaurav Sangale4, Prof. P. B. Palve5
1,2,3,4 Students & 5Asst. Prof. of Department of Computer Engineering,
Adsul’s Technical Campus, Chas, Ahmednagar, Maharashtra
Savitribai Phule Pune University, Pune
Abstract: 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.
Index Terms - Internet of Things (IoT), Waste Segregation and Monitoring, Ultrasonic Sensors, etc
