Recent Trends in Sensor Research & Technology

Drowsiness Detection and Alcohol Intoxication for Car Assisted Driver System Using Raspberry Pi

  1. Pandurang N. Kathar
  2. D. L. Bhuyar
  3. A. M. Rawate

Abstract

Drowsiness and drunken driving are noticeable causes for road accidents. In this paper we propose real time detection for driver’s drowsiness as well as alcohol intoxication and subsequent alerting system. The primary aim of this proposed system is to bring reduction in the number of road accidents caused due to driver’s drowsiness and alcohol intake, to facilitate an increase in the transportation safety. Our proposed system contains 8-megapixels digital USB camera, Raspberry Pi loaded with Raspbian-OS. Alcohol sensor (MQ-3) is used to detect the intake of alcohol in percentage, if the intoxication matching fails, alarm gets triggered on and GSM transmits a warming message. The Raspberry Pi system board is serially interfaced with Arduino UNO. GSM, Bluetooth, relay circuitry and buzzers are interfaced with Arduino UNO to alert driver through alarm notification and switching off the car power source. Keywords: Drowsiness detection, Alcohol intoxication, Raspberry Pi, Arduino UNO, OpenCv, GSMCite this Article Pandurang N. Kathar, Bhuyar DL, Rawate AM. Drowsiness Detection and Alcohol Intoxication for Car Assisted Driver System Using Raspberry Pi, Recent Trends in Sensor Research and Technology. 2016; 3(2): 7–15p.
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