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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57474

Fog Adaptive Smart Headlight

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57474

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57474

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DVS

Dr. V. Suganthi

HR

Harish. R

BA

Bharanidharan A

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Abstract

Driving through fog is one of the most dangerous experiences a motorist can face, and yet most vehicles still rely on headlights designed for clear-sky conditions. The “Fog Adaptive Smart Headlight and Automation Speed Control System” was developed to directly address this gap — offering an intelligent, embedded solution that responds in real time to deteriorating visibility. A significant share of highway accidents can be traced back to what researchers call “veiling luminance”: when standard headlights scatter off tiny fog droplets and bounce the light right back at the driver, creating a blinding white wall effect. Rather than expecting drivers to react manually under these stressful conditions, this project proposes a two-layer automated safety response. The first layer is the Adaptive Lighting Layer — an Arduino Uno paired with an LDR and IR/Fog sensor that continuously reads the surrounding atmosphere. When fog is detected, it triggers Pulse Width Modulation (PWM) to intelligently reduce LED brightness and commands a Servo Motor to physically angle the beam downward toward the road surface. The second layer is the Automation Speed Layer — which monitors vehicle RPM through a Hall-effect sensor and steps in to limit speed whenever the system detects a hazardous condition. Together, these two layers form an affordable, practical safety net that brings smart vehicle protection to everyday cars, without the price tag of premium automotive systems. 2.

KEYWORDS

Adaptive Front-lighting System (AFS) Arduino Uno Fog Density Sensing Pulse Width Modulation (PWM) Backscattering Mitigation Hall-Effect RPM Monitoring Servo-based Beam Steering Embedded C Automotive Automation LDR (Light Dependent Resistor).

Cite This Article

Dr. V. Suganthi, Harish. R, Bharanidharan A, "Fog Adaptive Smart Headlight," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM57474

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Publication Date

10/2/2026

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Double-Blind Peer Review

Review Rounds: 2

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