Vehicle Driver Assistance System

A project for detecting vehicle cut-in events using a combination of computer vision and speed calculations derived from positional data.

Technologies Used

YoloV8PythonKerasMatplotlib

Key Features

  • Collision Detection at upto 30FPS (real-time)
  • Uses pre-trained model to evaluate video feed
  • Dynamic customizable warning system
  • ADAS to detect possible collision before human response
Back to Portfolio