This paper is published in Volume-6, Issue-4, 2020
Area
Computer Vision
Author
Probhakar Sarkar
Co-authors
Umair Siddiqui
Org/Univ
Independent Researcher, India
Pub. Date
27 July, 2020
Paper ID
V6I4-1217
Publisher
Keywords
Computer Vision, Connected-Cars, Image processing, driver drowsiness, IoT, Analytics

Citationsacebook

IEEE
Probhakar Sarkar, Umair Siddiqui. Computer vision and its role in driving safety, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Probhakar Sarkar, Umair Siddiqui (2020). Computer vision and its role in driving safety. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.

MLA
Probhakar Sarkar, Umair Siddiqui. "Computer vision and its role in driving safety." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.

Abstract

Every year there are more than 1.2 million road accidents happening across the globe, which accounts for more than 2.2% of deaths on a global scale. There has been an alarming increase in road accidents in today’s time and a major reason behind this can be attributed to how the driver is behaving during his driving. Some of them may be unavoidable, yet a major portion of the hazards may be averted if there are means to keep a check on driver state ranging from their physical condition to monitoring their reckless driving patterns. This is where the advent of technology and the role of having a robust monitoring ecosystem come into the picture. Computer Vision more or less is a sought after technology that automotive companies today are chasing, be it telematics-based connected cars or autonomous self-driving vehicles. It can help solve this purpose by monitoring the driver drowsiness through advanced image processing solutions and providing the user with an integrated report showcasing how concentrated their driving was and what needs to be improved. This image processing technique may also be integrated into Telematics products to provide results on what the eco-driving score of the user is and maybe alerted via notifications on smartphones as to what daily trends of their driving are. This solution proves to be an effective approach to counter and restrict the increasing number of road accidents happening across the globe and meet end goal of achieving the maximum safety out of the road-network ecosystem.
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