AUTOMATIONG WASTE SEGREGATION USING IOT
Dr Shabina Modi, Prerna Ankush Sapkal, Prachee Jeevan Shinde, Pranali Ravindra Shedge, Nikita Vijay Yadav,Manali Prakash Sapkal
Computer Science Karmveer Bhaurao Patil of Engineering Satara.
Satara
Abstract— The advancement of technology has led to innovative solutions for addressing the challenges and inefficiencies in waste management and segregation systems. This research presents an Automatic Waste Management and Segregation System, leveraging the Internet of Things (IoT) paradigm to revolutionize waste management practices. The proposed system integrates various components, including IR sensors, moisture sensors, flipper mechanisms, and embedded C programming, to automate the process of waste sorting and monitoring.
The proposed Automatic Waste Management and Segregation System offer significant advantages over traditional waste management practices. By reducing human intervention, interaction, and time consumption, the system streamlines waste management operations and minimizes costs. Furthermore, the integration of IoT technologies enables the seamless tracking and tracing of bin locations, facilitating efficient waste collection and disposal. Overall, this research contributes to the advancement of waste management systems, offering a scalable and sustainable solution for municipalities and communities. The implementation of the proposed system has the potential to revolutionize waste management practices, promoting environmental conservation and resource optimization on a global scale.
Inefficient waste management systems often lead to environmental pollution and resource wastage. Traditional methods of waste segregation are time- consuming, labor intensive, and prone to errors. Our goal is to design and implement an IoT-based conveyor belt system equipped with metal separation using magnets, moisture sensors for wet waste detection, and automatic segregation of dry waste.
Keywords—Waste Management, Artificial Intelligence, Internet of Things, Autonomous Systems, Environmental Sustainability, Clean Energy.
