电瓶车违规骑行2023/3/19 Computer Vision Project

Here are a few use cases for this project:

1. Traffic Violation Identification: This model could be used by traffic authorities to automatically detect and track cyclists and scooter riders who are not wearing helmets, helping in enforcement of traffic rules and enhancing road safety.

2. Safety Awareness Campaigns: NGOs and governmental traffic bodies could leverage this model to analyze the prevalence of helmet usage among cyclists and scooter riders, providing valuable data for awareness campaigns targeting improved road safety.

3. City Planning: Urban Planners and city governments could use this model to understand cycling habits, helmet usage, and safety protocols adherence in different urban areas, thereby informing infrastructure development and traffic regulations.

4. Video Surveillance: The model could be applied in video surveillance systems in public spaces (like parks, city streets) for real-time monitoring of safety compliance, specifically helmet-wearing.

5. Insurance Claim Verification: Insurance companies could use this model to verify claim veracity related to cycling accidents by determining if the claimant was wearing a helmet at the time of an accident.