IOT Based Smart Vehicle Safety System Using Arduino Nano

Road accidents are a major cause of injuries and loss of life worldwide. Many accidents occur due to poor visibility, environmental conditions, and lack of real-time monitoring. This paper presents an IoT based smart vehicle safety system using Arduino Nano, LiDAR sensor, DHT11 sensor, GSM module (SIM900A), light sensor, motor driver, and buzzer. The system detects obstacles using LiDAR technology and automatically stops the vehicle to prevent collisions. It also monitors environmental conditions such as temperature, humidity, and light intensity to identify fog or night situations. In such conditions, the system activates a buzzer alert to warn the driver. In emergency cases, the GSM module sends an alert message to a predefined mobile number. The system is designed to be cost-effective, reliable, and efficient for real-time safety applications. Experimental results show that the system performs accurately and improves vehicle safety under different conditions, making it suitable for smart transportation systems.