Fog Adaptive Smart Headlight
Authors
Dr. V. Suganthi MCA., M.Phil., Ph.D.
Associate Professor
PG & Research Department of Computer Science
Sri Ramakrishna College of Arts & Science
suganthi@srcas.ac.in
STUDENT 1
Harish. R
23106016@srcas.ac.in
Department of Computer Science
Sri Ramakrishna College of
Arts and Science
STUDENT 2
Bharanidharan A
23106009@srcas.ac.in
Department of Computer Science
Sri Ramakrishna College of Arts and Science
1. 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).
