| Title |
State-Of-The-Art Vehicle Accident Detection and Facial Recognition System for Heightened Safety |
| Abstract |
The core concept of this project revolves around employing the Arduino Mega microcontroller as the central intelligence for a comprehensive vehicle safety and monitoring system. It serves as the foundation, overseeing various functionalities aimed at enhancing vehicle security and safety. The project primarily focuses on two key aspects: implementing face recognition for controlling car door access and detecting automobile accidents. Additionally, the system integrates RSSI (Received Signal Strength Indicator) technology to enhance its capability to detect when the vehicle approaches predefined speed limit zones, automatically adjusting speed as necessary. An accelerometer serves as a vibration sensor to swiftly identify impacts or accidents, triggering immediate emergency response protocols. In the event of an accident, the GPS module activates, promptly transmitting the precise car location via the GSM module, thereby alerting and expediting the response of rescue teams |
| Keywords |
Accident identification, Arduino Mega controller, facial recognition, Received Signal Strength Indicator (RSSI), accelerometer, GSM, Global Positioning System (GPS) |
| Reserch Area |
Engineering |
| Reserch Paper |
AIJFR2403002 - V2 I3 - 9-13.pdf |
| Author(s) |
Chetna Lora, Jayshree Yadav |
| Country |
India |
