Automized Driver Personalization using Computer Vision 2021-26-0032

All safety features built-in cars do not necessarily ensure safety automatically. In the driving position, the driver should be able to reach the steering wheel, gear shifter and other relevant car controls comfortably. This paper proposes an automated system that works on camera-based computer vision technology which identifies the person's attributes such as height using the motion sensor camera to adjust the seat including head restraint while the person enters the car and various other controls such as steering wheel position, adjustment of gear shifter in a linear motion. Once they start driving, the position of side-view mirrors and IRVM mirrors will be adjusted based on eye movement. By this system, a comfortable and safe ride can be created for the driver making our roads safer.