Safety Intelligence

This automated hazard detection system is designed to identify active fire and smoke signatures within static images. Utilizing a deep learning approach, the model acts as a first line of defense for monitoring systems.

Architectural Specs

• Architecture: Custom Convolutional Neural Network (CNN) with Dropout layers to minimize false positives in sunset or orange-light conditions.
• Binary Classification: Output indicates [Fire] vs [No Fire] with a high confidence score.
• Processing Speed: Highly optimized for mobile and low-power edge devices.

Deployment Benefits

Ideal for integration into IoT security cameras, forest monitoring drones, and industrial warehouse surveillance where early warning is critical.