The problem Computer Vision aided Driver Management System. solves

Stems from real-life problem, often times it happens that multiple persons drive a single vehicle (mainly in truck and taxi industry) and distance travelled by each person need to be tracked so we made a solution that can track the distance driven by the person using facial recognition.

The distance data linked to the driver face can be used in multiple purposes such as :

• To levy fare of travel on the driver.
• In case of Truck-Taxi industry is can be used to process payment according to the distance travelled by the driver.
• Can be used to geo-fence a particular driver.
• Use Facial Landmark detection to build a driver road attentiveness profile.

Features of Program

• Track persons driving the vehicle.
• Track distance traveled by them.
• Geofence a particular driver.
• Fetch real time fuel prices for that particular location and calculate fare levied on the driver.
• Build a driver road attentiveness profile, for discriminating good drivers from bad drivers.

Challenges we ran into

It took nearly 12-13 hrs to install Dlib library for Python.