Smart Driver Assistant Computer Vision Project

Here are a few use cases for this project:

1. Distracted Driver Detection: The Smart Driver Assistant can be used as a standalone software or integrated with vehicle's onboard system to alert when it detects a driver is distracted, by analyzing patterns such as looking at a mobile device.

2. Fatigue Monitoring in Commercial Transportation: Commercial trucking and logistics companies can use this model to maintain high safety standards by identifying fatigue in their drivers; preventing potential accidents that could cause human and financial loss.

3. Integrated Driver Support in Autonomous Vehicles: This model can supplement the technology in self-driving cars. When drivers needs to take control of the vehicle, this solution can ensure that the driver is alert and capable of safe driving.

4. Driver Training and Evaluation: Defensive driving schools or driver's education programs can use the Smart Driver Assistant to provide real-time feedback during training sessions, ensuring learners are fully aware and not distracted while practicing.

5. Insurance Risk Assessment: Insurance companies can use data from the model to assess driver behavior data during the underwriting process, flagging high-risk behavior such as frequent distraction or signs of drowsiness. This may help create personalized insurance plans based on individual's driving habits.