This paper is published in Volume-4, Issue-2, 2018
Area
Open Source Computer Vision
Author
Amey Sathe
Co-authors
Prajakta Roshankhede, Priti Golar, Chetan Chitatwar
Org/Univ
St. Vincent Palloti College of Engineering and Technology, Nagpur, Maharashtra, India
Pub. Date
12 April, 2018
Paper ID
V4I2-1789
Publisher
Keywords
Computer Vision, OpenCV, Python, Temporary Blindness.

Citationsacebook

IEEE
Amey Sathe, Prajakta Roshankhede, Priti Golar, Chetan Chitatwar. Reducing headlight intensity to improve street visibility, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Amey Sathe, Prajakta Roshankhede, Priti Golar, Chetan Chitatwar (2018). Reducing headlight intensity to improve street visibility. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Amey Sathe, Prajakta Roshankhede, Priti Golar, Chetan Chitatwar. "Reducing headlight intensity to improve street visibility." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

Driving at night is dangerous. High headlight glares can make a driver temporarily blind thereby escalating the chances of fatal accidents. Many factors are considered when analyzing automobile transportation in order to increase safety. One of the most prominent factors for night-time travel is temporary blindness due to elevated headlight intensity. This is particularly prominent on single lane roads. Also, higher speed due to decreased traffic levels at night increases the severity of accidents. Proposed software module masks the high-intensity headlights, preventing temporary blindness that a driver may face and hence improves the view.
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