Paper Contents
Abstract
Road safety is a growing concern across the globe, especially during night time and poor weather conditions, which are leading causes of traffic accidents. At night, the high-beam headlights of oncoming vehicles can cause glare, temporarily blinding drivers and increasing the risk of accidents. Fog is a natural phenomenon that can significantly impact daily life and various industries. In transportation, fog can reduce visibility, and danger driving conditions leading to accidents and delays. The greater numbers of accidents are caused by the less visibility during foggy weather. It has the potential to significantly improve safety and efficiency in foggy weather. The system is built using a camera, LDR sensors, fog detection sensors, and an Arduino UNO. The hardware connects the microcontroller to the vehicles headlight system and includes a fog detection module. On the software side, the system captures and analyses images to detect fog, adjusts headlight brightness based on surrounding light conditions, and send real-time alerts. With continued advancements in technology, this system has the potential to greatly improve safety during night driving and low-visibility conditions, ultimately helping to prevent accidents.
Copyright
Copyright © 2025 ANUSHA S. This is an open access article distributed under the Creative Commons Attribution License.
