AarnoStormborn/Smoking-Detection
Cigarette Detection Model deployed over Django backend
This project helps operations managers or security personnel automatically detect cigarette smoking in images or video feeds. You input surveillance footage or still images, and it highlights instances where smoking is occurring, making it easier to monitor public spaces, workplaces, or restricted areas. It's designed for anyone needing to enforce no-smoking policies or conduct public health monitoring.
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Use this if you need an automated system to identify smoking events in real-time video streams or uploaded visual content, particularly in environments like offices, public transport hubs, or hospitals.
Not ideal if you need to identify other prohibited behaviors beyond smoking, or if you require an extremely high level of precision where any false positive is unacceptable without human review.
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Last pushed
Apr 04, 2023
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