Computer Science and Information Technology Vol. 6(2), pp. 24 - 30
DOI: 10.13189/csit.2018.060202
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Drunk Driving Detection

Kavish Atul Sanghvi *
Mukesh Patel School of Technology, Management and Engineering, India


Drunk driving accidents have increased day by day and has become a big issue. On an average nearly 29% of road accidents are caused due to drunk driving. To avoid such accidents, precautionary measures using different technologies are taken. Drunk driving detection is process of detecting whether a person is drunk or not. It uses data provided by sensors and camera to detect whether the person is drunk or not. The data is further processed using specific algorithm and methods to detect whether person is drunk or not. It uses various detection methods like Iris recognition using Gabor filter, Neural network using face images, detection using speech, Non-invasive Biological sensors, detection using Driving pattern and Engine locking system.

Gabor Filter, Neural Network, Biological Sensor

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Kavish Atul Sanghvi , "Drunk Driving Detection," Computer Science and Information Technology, Vol. 6, No. 2, pp. 24 - 30, 2018. DOI: 10.13189/csit.2018.060202.

(b). APA Format:
Kavish Atul Sanghvi (2018). Drunk Driving Detection. Computer Science and Information Technology, 6(2), 24 - 30. DOI: 10.13189/csit.2018.060202.