fire-detection-cnn and fire-detection-from-images
About fire-detection-cnn
tobybreckon/fire-detection-cnn
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
This project helps operations engineers and safety managers automatically detect fires in real-time from video feeds or still images. It takes raw video or image data as input and outputs whether a fire is present, and optionally, precisely where it's located within the frame. This is useful for monitoring sensitive areas without constant human supervision.
About fire-detection-from-images
robmarkcole/fire-detection-from-images
Detect fire in images using neural nets
This tool helps automate the early detection of fires in monitored areas like kitchens, garages, or outdoor fire pits. By analyzing camera images, it can pinpoint the exact location and size of a fire with a bounding box, rather than just detecting smoke. Security professionals, operations managers, or safety engineers responsible for monitoring specific environments would find this useful for improved response times and situational awareness.
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