To launch Netra Website
cd Deployed\ App/
python app.py
Detection using yolov7 weights and yolov3 data
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An object, crash, and fire detection system with automated alerts. Used YOLOv3, Computer Vision (IoU), and CNN for object detection. KAVACH 2023 Hackathon, 4th place, Manipal. Achieved an impressive accuracy rate of 96.81% in multi-layer testing of crashes and fire incidents. Curated custom datasets for crashes and fire incidents to train the model
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bhavik-mangla/Kavach-Netra
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An object, crash, and fire detection system with automated alerts. Used YOLOv3, Computer Vision (IoU), and CNN for object detection. KAVACH 2023 Hackathon, 4th place, Manipal. Achieved an impressive accuracy rate of 96.81% in multi-layer testing of crashes and fire incidents. Curated custom datasets for crashes and fire incidents to train the model
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