Computer vision techniques have revolutionized various aspects of automotive safety, with headlight detection and analysis playing a crucial role in enhancing nighttime driving conditions. This paper presents a novel approach to beam light detection and intensity analysis using advanced image processing algorithms. The proposed method addresses the challenge of accurately identifying and measuring the intensity of oncoming vehicle headlights in real-time, a critical factor in preventing glare and improving road safety. By combining adaptive thresholding, contour analysis, and intensity measurement techniques, the developed system demonstrates improved accuracy and robustness compared to existing methods. The innovation lies in its ability to dynamically adjust to varying lighting conditions and distinguish between different types of light sources, providing a more reliable foundation for automated headlight control systems.