FA2 - LizanoUy Computer Vision Project

Here are a few use cases for this project:

1. Motorcycle Safety Enforcement: Law enforcement agencies can use the "FA2 - LizanoUy" model to detect motorcyclists wearing different types of helmets (full face, half face) or invalid helmets, allowing them to enforce helmet safety regulations more efficiently.

2. Compliance Monitoring for Companies: Companies with motorcycle fleets (e.g. delivery or courier services) can use the model to monitor their employees for helmet compliance, ensuring that they adhere to company safety regulations and minimizing potential liability.

3. Smart Traffic Surveillance Systems: The model can be integrated into traffic surveillance systems to track helmet usage statistics, allowing city planners and officials to understand and improve helmet compliance in their jurisdiction.

4. Motorcycle Retail Analytics: Retailers selling motorcycle gear can use the "FA2 - LizanoUy" model to analyze customer preferences for different helmet types, helping them optimize their product offerings and marketing strategies.

5. Accident Analysis and Prevention: Road safety organizations and researchers can use the model to study the correlation between helmet types and accident severity or injury rates, enabling them to develop better preventative measures and safety campaigns.