Скачать или смотреть DDWS Challenge | AI-Based Plastic Waste Detection & Monitoring System (Model Demo + Outputs)

This video demonstrates our Plastic Waste Management System developed for the DDWS Challenge, showcasing the working prototype of an AI/Computer Vision–based monitoring module.

What’s shown in this demo:

Running the trained plastic-waste detection model on sample images (aerial/drone or field imagery use-case).

Real-time visual detection overlays (bounding boxes) for plastic litter clusters.

Confidence scores and automated identification of waste locations within the scene.

Generated outputs that support hotspot detection, clean-up prioritization, and evidence-based reporting for Panchayats/MRF operations.

How it helps DDWS/rural operations:

Enables rapid identification of plastic dumping hotspots in villages/near water bodies.

Supports data-driven planning for collection drives and segregation improvements.

Provides a scalable pathway for monitoring, reporting, and verification during pilots.

Program/Challenge: DDWS Innovation Challenge (IIT Madras)
Keywords: Plastic waste, rural solid waste, AI monitoring, computer vision, hotspot mapping, waste management, DDWS