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Ecosense: A Youth-Driven IOT and AI-Based Digital Platform for Real-Time Environmental Monitoring and Plastic Waste Detection
Summary
Researchers proposed EcoSense, a youth-developed platform combining IoT environmental sensors, computer vision, and cloud analytics to detect plastic waste in real time and generate location-specific alerts, aiming to bridge monitoring gaps in ecologically sensitive and under-resourced regions.
Environmental degradation, particularly due to plastic pollution, has emerged as a major global concern, especially in ecologically sensitive and remote regions where monitoring systems are inadequate. This study proposes EcoSense, a youth-driven digital platform that integrates Internet of Things (IoT) sensors, computer vision, and cloud computing to enable real-time environmental monitoring and plastic waste detection. The platform combines sensor-based environmental data collection with AI-enabled image processing to identify plastic waste and generate timely alerts. The system architecture includes smart sensors, camera modules, IoT gateways, and a cloud-based analytics dashboard. The proposed model aims to enhance monitoring efficiency, enable early detection of environmental risks, and promote community engagement in climate action. The study highlights the potential of digital technologies in empowering youth and improving environmental governance through scalable, real-time solutions.