The abstract highlights the importance of driver drowsiness detection as a critical component of vehicle safety technology, with the goal of preventing accidents brought on by drowsy drivers. According to studies, driver fatigue possibly a factor in 20% of traffic accidents, underscoring the importance of developing efficient accident-avoidance strategies. The research focuses on a particular illustration of an automated tiredness detection system intended to improve driver safety by tracking unsafe driving practices. The primary objective of the research is to develop an automated system capable of accurate analysis the blink patterns of the driver's eyes. It detects modifications to the distance between the eyes and reflects eye blink events using an infrared-based eye blink sensor. The location of the visual is indicated by the sensor's output, which is high when the eye is closed and low when it is open. The project includes a circuit that, in the event that it detects indicators of tiredness, such closed eyes, while driving, sounds an alarm, namely a buzzer next to the driver. By offering a real-time alarm mechanism, this technology seeks to address the risks related to driver weariness and enhance overall road safety.