Image Processing Based Driving Assistant System

@article{1702304,
      author = {Gunjan Gala, Ganesh Chavan, Nibha Desai},
      title = {Image Processing Based Driving Assistant System},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {11},
      pages = {171-174},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702304.pdf},
      abstract = {Rapid industrialization and the consequent urbanization has brought about an unprecedented revolution in the growth of motor vehicles all over the world and India is no exception. Such growing urbanization, combined with rising number of vehicle ownership, has led in recent years to an increased traffic related stress and overnight driving exhaustion which lead to accidents in long term and short term period of time. To avoid such ambiguity we are developing a system which will detect autonomously and continuously track drivers' faces and determine its emotion. With the help of which we can pinpoint if the driver falls to sleep. If the driver is falling asleep an alarming sound will play to wake up the driver and we can make speed adjustments in the car. Based on the emotion we can play music to make the driver journey more joyful.},
      keywords = {Arduino, Image processing, Machine Learning, YOLO},
      month = {May},
  }