SentinelAI is an advanced Intelligent CCTV Camera Management System designed to enhance surveillance, public safety, and law enforcement efforts. This comprehensive system integrates cutting-edge technologies, including facial recognition, object detection, vandalism detection, reverse lost and found, and more.
- A state-of-the-art facial recognition model was deployed for authorized personnel access and suspect identification.
- Real-time facial recognition for proactive security measures.
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- Advanced models for weapons and hazardous object detection using YOLO (You Only Look Once) for rapid and accurate results.
- Integration with the system for immediate alerting and response.
- Semantic segmentation model for vandalism detection, enabling swift identification of potential threats to public property.
- Real-time monitoring and alerting for law enforcement intervention.
- Innovative system to reverse the traditional lost and found process.
- Uses AI and image recognition to match lost items with found items in the surveillance footage.
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- Pose detection model for analyzing the posture and movements of individuals.
- Enhances situational awareness and assists in identifying suspicious behavior.
- AI-based face generation model for creating facial images from textual prompts.
- Used in the Sketch-to-Search feature for suspect identification.
- Python 3.9.13
- TensorFlow, PyTorch, Ultralytics, Yolov8l
- OpenCV, Dlib, FaceNet
- Flask
- Numpy, Pandas, Matplotlib
- Mediapipe, Tensorflow lite
- Html, css, js
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Clone the repository:
git clone https://github.com/gopal-ag/RJPOLICE_HACK_732_Incognito_3.git
Install dependencies: pip install -r requirements.txt Access the system through the provided user interface.
For inquiries and support, please contact:
Gopal Agarwal. gopal.ag0224@gmail.com Sparsh Rastogi srastogi_be22@thapar.edu