Integrating AI for Enhanced Driver Safety: A Survey on Vehicle and Health Monitoring Systems

In recent years, the intersection of vehicle safety and health monitoring has gained significant attention due to its potential to reduce road accidents caused by driver impairment. This project explores an innovative approach to enhancing driver safety through an integrated AI-driven system that combines vehicle monitoring with health assessment. Utilizing a Raspberry Pi as the central processing unit, this system incorporates several key components: a DC motor to simulate vehicle control, a web camera for real-time monitoring of driver alertness, a DHT11 sensor for environmental conditions, and a pulse sensor to track the driver’s physiological state.The web camera continuously analyzes the driver’s facial expressions and eye movement to detect signs of drowsiness. If the system identifies that the driver is falling asleep, it triggers the DC motor to stop, activates a buzzer to alert the driver, and displays a warning message on an LCD screen. Concurrently, the DHT11 sensor measures the environmental conditions, while the pulse sensor monitors the driver’s heart rate for any anomalies.In the event of detecting abnormal health conditions—such as irregular pulse rates—the system promptly deactivates the DC motor, increases the buzzer's intensity, and provides a visual alert on the LCD screen. This multi-faceted approach ensures a comprehensive safety mechanism, combining driver behavior monitoring with real-time health assessment to significantly reduce the risk of accidents due to driver fatigue or health issues. The effectiveness of this integrated system demonstrates a promising advancement in vehicle safety technology, leveraging AI and sensor technology to safeguard drivers and enhance road safety.