To avoid any road accidents, drowsy driver identification has become the most important method in recent years. There is a need to develop a system that can automatically detect drowsy driving and prevent it from happening. Drowsiness, on the other hand, is a natural human condition that occurs for a variety of reasons. As a result, a reliable warning system is needed to avoid the catastrophe. Such an eye blink warning system has been built using an Eye Aspect Ratio (EAR) and Euclidean distance of the eye to evaluate video stream processing (VSP). In this suggested work, we discuss this system. Eye identification can also be accomplished with the help of the face landmark algorithm. The IoT module delivers a warning message along with the impact of a collision and position information, thereby notifying with the help of a voice speaking through the Raspberry Pi monitoring system when the driver is fatigued..

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