NeelBhowmik/efficient-compact-fire-detection-cnn

Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)

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This project offers a fast and accurate way to detect fire in real-time using images, video feeds, or webcams. It takes visual input and identifies areas where fire is present, indicating a 'fire' or 'no-fire' status, and can highlight the specific regions of fire within the frame. It's designed for operations engineers, security personnel, or anyone responsible for monitoring environments for fire hazards.

No commits in the last 6 months.

Use this if you need a highly efficient, real-time visual fire detection system for surveillance, industrial monitoring, or safety applications, even on low-powered devices.

Not ideal if you are looking for a system that uses traditional smoke/heat sensors or requires historical data analysis beyond real-time visual detection.

fire-safety surveillance industrial-monitoring hazard-detection real-time-security
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

59

Forks

17

Language

Python

License

MIT

Last pushed

May 14, 2021

Commits (30d)

0

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