sanchit2843/Videoclassification
Crime detection in cctv footage using deep learning
This project helps security personnel and surveillance teams automatically identify criminal activities in CCTV footage. It takes video clips from surveillance cameras as input and outputs classifications like 'abuse', 'arrest', 'arson', 'assault', 'burglary', 'explosion', and 'fighting', alongside 'normal' activity. This tool is ideal for security managers, law enforcement, or anyone responsible for monitoring large volumes of video surveillance.
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Use this if you need an automated system to flag specific criminal behaviors in your security camera feeds, reducing the need for constant manual monitoring.
Not ideal if you need to detect nuanced or less overt criminal activities beyond the eight predefined categories, or if your video quality is consistently very low.
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Last pushed
Apr 17, 2020
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