Initial models for the
Illegal Dump Site Detection and Landfill Monitoring
Open-Source Web Application
🌐 Overview
Utilizing high-resolution drone and satellite imagery for sophisticated image annotation, training and usage of object detection models, combined with geospatial analysis, our system offers robust tools to identify illegal dump sites and effectively manage regulated landfills in order to enhance waste management and environmental monitoring.
Key Features
Dataset Management
- Manage extensive datasets of drone and satellite images with tools for uploading, categorizing, and maintaining image data.
- Features include tagging, filtering, and robust data integrity checks to ensure dataset accuracy and usability for environmental monitoring tasks.
Image Annotation
- Annotate high-resolution drone and satellite imagery to help train object detection models specifically designed for precise waste detection.
Object Detection Model Training
- Train sophisticated models with diverse image datasets from drone and satellite sources to enhance detection accuracy across varied environmental conditions.
Detection and Monitoring
- Deploy models, both pre-trained and newly trained, to detect waste sites from aerial perspectives.
- Results are displayed on a georeferenced map, providing a clear and actionable visual representation.
Landfill Management
- Advanced tools for managing legal landfills include the submission of waste forms, types, trucks, reports ...
- Integration of 3D point cloud scans derived from drone technology for detailed, real-time monitoring.
This repository aims to equip researchers, environmental agencies, and policymakers with the tools needed to monitor and respond to environmental challenges efficiently.
Join us in leveraging these capabilities to maintain ecological integrity and promote sustainable practices in waste management.
Our complete Project Charter.
Acknowledgments
Sponsor
- UNICEF Venture Fund
Shoutout