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Papers
7 resultsShowing papers similar to IoT Based Waste Segregation System for Small and Large-Scale Sectors
ClearSource separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review
Researchers reviewed the full chain of municipal solid waste management — from source separation through collection, pretreatment, and valorization — finding that AI and the Internet of Things are emerging as powerful tools for optimizing collection routing and sorting efficiency within circular waste management systems.
Smart Bin and IoT: A Sustainable Future for Waste Management System in Nigeria
Researchers proposed a smart waste bin system using Internet of Things technology to improve waste management in Nigerian cities. The system uses sensors and Wi-Fi connectivity to monitor bin fill levels remotely, enabling more efficient waste collection routes. The study highlights how affordable IoT-based solutions could help developing nations reduce plastic waste accumulation and environmental pollution.
Autonomous Waste Classification Using Multi-Agent Systems and Blockchain: A Low-Cost Intelligent Approach
This study developed and tested a prototype smart waste bin using multi-agent systems and blockchain to automatically sort waste (organic, plastic, paper) in real time, demonstrating a low-cost approach for intelligent municipal waste management.
Development of IoT-based Smart Recycling Machine to collect the wasted Non-woven Fabric Face Mask (NFM)
This study developed an IoT-connected smart recycling machine designed to collect used non-woven face masks and prevent them from entering the environment as microplastic waste. Single-use masks became a major source of microplastic pollution during the COVID-19 pandemic, and automated collection systems could significantly reduce this form of plastic waste.
Golden Seal Project: An IoT-Driven Framework for Marine Litter Monitoring and Public Engagement in Tourist Areas
Researchers developed the Golden Seal project, an IoT-driven framework that deploys sensor networks and gamified recycling systems in coastal tourist areas to monitor and reduce marine litter while increasing public engagement with plastic pollution issues.
Microplastics Detection in Soil and Water: Leveraging IoT Technologies for Environmental Sustainability
Researchers explored the integration of IoT sensor technologies for detecting and monitoring microplastics in soil and water environments, proposing a connected sensing framework for real-time environmental surveillance. The system enables automated data collection and remote monitoring of microplastic contamination.
Application of AI-Enabled Computer Vision Technology for Segregation of Industrial Plastic Wastes
Researchers developed an AI-powered computer vision system to segregate mixed industrial plastic wastes by polymer type, addressing a key barrier to effective plastic recycling. The system achieved high classification accuracy across common plastic categories, demonstrating that machine vision can improve sorting efficiency and recycled plastic quality.