Smoking detection Computer Vision Project

Here are a few use cases for this project:

1. Public Health Surveillance: The model could be used in public areas to track smoking rates in real-time, aiding health organizations in identifying hotspots of smoking activity and tailoring anti-smoking campaigns accordingly.

2. AI Monitoring for No-Smoking Zones: It could be used in CCTV surveillance systems of public places like hospitals, schools, or shopping malls where smoking is prohibited. The system could alert security personnel when someone is detected smoking.

3. Family Safety: The model could be integrated into smart home systems to monitor for smoking activity, alerting homeowners if someone is smoking indoors, potentially helping to reduce exposure to secondhand smoke.

4. Content Filtering: Social media platforms or movie streaming services could use it to detect smoking scenes, helping parents control the type of content their children are exposed to, or for users who wish to avoid such content.

5. Insurance Compliance Verification: Insurance companies could use this system to monitor insured individuals who are supposed to quit or reduce smoking. If unauthorized smoking activities are detected, they could adjust policy premiums or take other necessary actions.