fire-detection-cnn and PyroDetect-Fire-Detection

fire-detection-cnn

Established

PyroDetect-Fire-Detection

Experimental

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 4/25

Maturity 8/25

Community 15/25

Stars: 570

Forks: 173

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 5

Forks: 4

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

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.

fire-safety industrial-monitoring surveillance hazard-detection operations-management

About PyroDetect-Fire-Detection

Sukanyasingh3/PyroDetect-Fire-Detection

CNN model for fire detection using CCTV footage, built using TensorFlow and Keras, and is designed to classify whether a given image footage contains fire or not

Related comparisons

fire-detection-cnn and fire-detection-from-images

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