sukhitashvili/violence-detection
Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more
This tool helps security personnel, facility managers, or event organizers automatically identify violent or dangerous events like fights, fires, or car crashes in surveillance footage or static images. You feed it a video frame or image, and it outputs a text label describing the detected scenario. This is ideal for anyone needing automated incident detection in indoor or outdoor environments.
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Use this if you need an automated system to flag specific violent or dangerous events from visual data for real-time alerts or incident review.
Not ideal if you need to detect highly nuanced or subjective non-violent events, or if you require fine-grained classification beyond a general scenario label.
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Jupyter Notebook
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Last pushed
Dec 31, 2024
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