Microcontroller-Based Adaptive Headlight Automation System with Enhanced Safety Features for Adverse Environmental Conditions

The Microcontroller-Based Adaptive Headlight Automation System with Enhanced Safety Features for Adverse Environmental Conditions introduces an innovative solution to address the persistent challenges of night driving and adverse weather conditions. This method leverages a microcontroller to process real-time sensor data, dynamically optimizing headlight settings, enhancing obstacle detection, and automating critical safety features. Key functionalities include glare reduction through high-beam to low-beam switching, activation of focus lights during rain or fog, automated windshield wipers, and obstacle detection with warning lights. Additionally, the system ensures safer navigation by automatically reducing vehicle speed in conditions of severely impaired visibility. These features collectively minimize manual intervention, enhance driver focus, and reduce the risk of accidents. Initial testing confirms the system's ability to significantly improve visibility and road safety, positioning it as a valuable advancement in modern automotive safety technology. This work aligns with the Naan Mudhalvan Niral Thiruvizha theme of Transportation/Logistics/Smart Vehicles by addressing the problem of frequent accidents in high-risk areas through an intelligent headlight automation system. By improving transportation safety (SDG 11), fostering technological innovation (SDG 9), and reducing energy waste with optimized headlight usage (SDG 12), the system promotes safer, smarter, and more sustainable mobility solutions. This integration underscores its potential to transform road safety and contribute meaningfully to global sustainable development goals.