Road accidents are a major global cause of fatalities, often worsened by delayed emergency response. This paper presents a Real-Time Accident Detection and Emergency Alert System using IoT technology. The system employs gyroscope sensors with an Arduino microcontroller to continuously monitor vehicle motion and detect accidents through abnormal tilt and impact. Upon detection, it automatically triggers alerts, activates a buzzer, and sends GPS-based emergency SMS notifications via a GSM module. The solution ensures immediate response without human intervention, improving safety and reducing accident-related deaths.

The proposed Real-Time Accident Detection and Emergency Alert System demonstrates an effective solution to improve road safety using IoT technology. It successfully integrates sensors, microcontroller, and communication modules to provide continuous vehicle monitoring. The system is capable of detecting accidents automatically based on abnormal tilt and sudden impact conditions. One of its key advantages is that it operates without any human intervention. This makes it highly reliable, especially in situations where victims are unconscious or unable to call for help. The integration of GPS ensures accurate location tracking of the accident site. The GSM module enables immediate transmission of emergency alerts to predefined contacts. The inclusion of a buzzer and LCD display enhances both local and system-level awareness. Compared to traditional systems, it significantly reduces the delay in emergency response. The system is cost-effective and can be easily implemented in various types of vehicles. It also ensures continuous monitoring, which increases overall safety. The experimental results indicate improved response time and higher chances of saving lives. This system can be further enhanced by integrating advanced technologies like machine learning for better accuracy. Overall, the system provides a reliable, efficient, and scalable solution for accident detection and emergency management.

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