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Computer Vision
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Fire Detection Model
A robust real-time fire and smoke detection system utilizing computer vision for early warning and rapid response.
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Overview
Developed a custom deep learning pipeline specialized in early fire and smoke detection. Trained on diverse environmental conditions to maintain high precision and minimize false positives. The architecture is optimized to run efficiently on edge devices, enabling immediate on-site alerts for enhanced safety and rapid incident response.
Key Features
- Real-time early fire and smoke detection
- Optimized for edge device deployment
- High accuracy across varying environmental conditions
- Low false-positive rate