Welcome to Project Renegan, where innovation meets public safety! Our mission is to revolutionize crime detection and law enforcement efficiency by Geo-Tagging privately owned cameras. In collaboration with law enforcement agencies, we aim to create a comprehensive system that not only tracks camera locations but also facilitates quick access to crucial video footage during investigations.
Explore our cutting-edge solution that combines real-time incident analysis, precise location tracking, and seamless integration with AWS S3 for secure data storage. Join us on this journey to make communities safer and contribute to a smarter, more connected future.
Stay tuned for updates, and let's build a safer world together!
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Precise Location Tracking:
- Seamlessly monitor and track the locations of privately owned cameras within specified areas.
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Real-Time Incident Analysis:
- Utilize OpenCV for real-time analysis of incident videos, identifying specific objects and enhancing crime detection.
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AWS S3 Integration:
- Securely store and manage processed videos in AWS S3 for reliability and scalability.
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User-Friendly Interface:
- Develop a user-friendly system for law enforcement to easily identify camera locations and retrieve specific video footage.
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Standardized Metadata Format:
- Establish a standardized metadata format for Geo-Tagged information, including camera specifications and owner contact details.
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License Management:
- Assign licenses to cameras for seamless interaction with the central Command and Control Center.
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Automated Checks:
- Implement mechanisms to automatically check for camera displacement, ensuring system integrity.
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Backend:
- FastAPI
- Express.js
- MongoDB
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Frontend:
- Flutter
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Image Processing:
- OpenCV
- TensorFlow
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Cloud Services:
- AWS S3
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Other:
- YOLO (You Only Look Once) for real-time object detection
- Real Time Streaming Protocol (RTSP)
Special thanks to Rajasthan Police for giving us the opportunity to work on such project.
