The increasing number of road accidents caused by driver negligence, drowsiness, alcohol consumption, and improper seatbelt usage has become a major safety concern. This paper presents an Autonomous Tracking System for Vehicles designed to enhance driver safety by continuously monitoring the driver’s physical condition and enforcing safety measures. The proposed system integrates a drowsiness detection module based on eye blink and eye movement monitoring, an alcohol detection sensor, and a seatbelt detection mechanism using a Hall Effect sensor. If drowsiness or alcohol consumption is detected, the system triggers an audible alarm to alert the driver. Additionally, the vehicle ignition system is disabled unless the seatbelt is properly worn. By combining real-time monitoring, alert mechanisms, and preventive control, the system aims to significantly reduce accident risks and improve road safety. The proposed solution is cost-effective, reliable, and suitable for real-time vehicle safety applications. Keywords: Driver Safety, Drowsiness Detection, Alcohol Sensor, Seatbelt Detection, Autonomous Vehicle Monitoring