Inferno-Realtime-Fire-detection-using-CNNs

bubblebeam

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

python-3

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42 Stars

16 Forks

42 Watchers

Jupyter Notebook Language

Cost to Build

$111.8K

Market Value

$238.3K

How is this calculated?

Growth over time

8 data points · 2021-07-01 → 2025-09-01

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What is the bubblebeam/Inferno-Realtime-Fire-detection-using-CNNs GitHub project? Description: "FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Inferno-Realtime-Fire-detection-using-CNNs

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git clone https://github.com/bubblebeam/Inferno-Realtime-Fire-detection-using-CNNs.git

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[email protected]:bubblebeam/Inferno-Realtime-Fire-detection-using-CNNs.git

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