IOT based alcohol and driver drowsiness detection and prevention

Authors

  • Siddhesh More Computer Engineering, Pimpri Chinchwad College of Engineering
  • Rushikesh Bhavthankar Computer Engineering, Pimpri Chinchwad College of Engineering
  • Chaitanya Shembekar Computer Engineering, Pimpri Chinchwad College of Engineering

Keywords:

Open CV, Traffic Safety, HAAR –Cascade Classifier

Abstract

In this system, we proposed to diminish the amount of disasters realized by driver weariness and along these
lines improve road prosperity. This structure treats the modified disclosure of driver sluggishness subject to visual
information what's more, man-made awareness. We discover, track and explore both the driver face and eyes to measure
PERCLOS (level of eye end) with Softmax for neural trade work. it will be in like manner uses liquor and beat
acknowledgment to take a gander at the individual is average or odd. Driver's exhaustion is one of the huge purposes
behind car crashs, particularly for drivers of gigantic vehicles, (for instance, transports and overpowering trucks) due to
deferred driving periods and weakness in included conditions.

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Published

2019-11-25

How to Cite

Siddhesh More, Rushikesh Bhavthankar, & Chaitanya Shembekar. (2019). IOT based alcohol and driver drowsiness detection and prevention. International Journal of Advance Research in Engineering, Science & Technology, 6(11), 32–38. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1960

Issue

Vol. 6 No. 11 (2019): Volume: 06, Issue: 11 - November, 2019.

Section

Articles