A Real Time Embedded System Application for Driver Drowsiness and Alcoholic Intoxication Detection
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2014, Vol 10, Issue 9
Abstract
This paper outlines a novel approach for the real time detection of car driver drowsiness and alcoholic intoxication. There are large numbers of road accidents which takes place due to fatigue or alcohol drinking of driver. Computer vision and alcohol gas sensor application is combined to an embedded system to achieve this goal. The proposed system is realized with an open source 5 megapixel digital camera supported embedded system board Raspberry-pi loaded with Raspbian-OS, and Python-IDLE with Open-CV installed. The Raspberry-pi system board is serially interfaced with another open source embedded system board Arduino Uno with I2C protocol, which will perform some task like issuing the alarm notification and switching off the car power source to stop the car upon receiving the positive detection message from Raspberry-pi.
Authors and Affiliations
Dwipjoy Sarkar , Atanu Chowdhury
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