Capturing Smokers in Non-smoking area

Applications 

Vision AI can help detect smokers in non-smoking areas by using computer vision techniques combined with machine learning models to recognize specific visual cues associated with smoking.

Vision AI - Capturing smokers in Non-smoking area

In most city, statutory no smoking areas have been extended to cover the indoor areas.  Policies that ban smoking in indoor areas protect vulnerable groups such as children and infants, adults with cardiac or respiratory disease, and pregnant women against the adverse effects of environmental tobacco smoke. Smoke-free policies in public places also send a clear message to young people about non-smoking being the norm, and they reduce the numbers of adults that young people see smoking.

Vision AI can help detect smokers in non-smoking areas by using computer vision techniques combined with machine learning models to recognize specific visual cues associated with smoking.

• Vision AI learns to identify key elements such as cigarettes, smoke, lighter flames, hand-to-mouth movements, and other contextual features that typically accompany smoking behavior.
• Vision AI can differentiate between a person simply holding an object and actually smoking by understanding the context, such as the presence of smoke or repeated hand-to-mouth gestures.

Click the link below to watch the sample video of Smoking Detection 

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https://www.teleeye.com/marketing/tmp/smoker_detect_blur_face.mp4