Road accidents are one of the major causes of death and severe injuries worldwide, often due to delayed medical assistance. To address this issue, the Accident Identification and Alerting System has been developed to automatically detect accidents and send immediate alerts to emergency services and nearby contacts. The system aims to reduce the time between the occurrence of an accident and the arrival of help, thereby increasing the chances of saving lives. This system is built using various sensors such as an accelerometer, vibration sensor, and gyroscope, which continuously monitor the motion and orientation of the vehicle. When a sudden impact or unusual movement is detected, it is interpreted as an accident by the microcontroller (such as Arduino, NodeMCU, or Raspberry Pi). The GPS module then captures the exact geographical location of the vehicle, while the GSM or IoT module sends this information as an alert message to predefined emergency contacts, rescue teams, or nearby hospitals. The alert message includes vital details such as the accident location (latitude and longitude) and time of occurrence, enabling quick and accurate response. Additionally, the system can be enhanced with IoT connectivity, allowing data to be sent to a cloud platform for real-time monitoring and analysis. This feature enables authorities to track accident-prone areas and improve road safety measures. The system can also be integrated with a buzzer or alarm to alert nearby people immediately after a crash. Overall, this project provides an efficient, low-cost, and reliable solution for automatic accident detection and alerting. By using real-time communication and location tracking, the proposed system minimizes human intervention, ensures faster emergency response, and significantly reduces fatalities caused by delayed medical assistance. \\
Raut et al. (Thu,) studied this question.