Driver Drowsiness Detection

  • This system alerts the driver when the driver found in drowsiness condition while driving.
  • We have used Computer Vision to archive the task.
  • Facial Landmarks dataset is used to detect different features of the face.
  • The system plays an alert sound when found the driver in drowsiness condition.
  • The system stores real-time data in JSON file and show visulization of data to the driver.
  • This is just a prototype.
  • We have developed a hardware solution with the help of NVidia Jetson Nano Board.

Prerequisites

  • DJango - The web framework
  • Python 3.0 +
  • OpenCV - Library, aimed for real-time Computer Vision.
  • imutils - For basic Image Processing Tasks
  • [shape_predictor_68_face_landmarks.dat] - Dataset

Demo

Authors

  • Our team name is 'Black Bulls'
  • Nirav C. Pansuriya
  • Brij S. Patel
  • Anuj H. Patel
  • Smit Y. Parmar