The main objective of this project is to design and implement an IoT-enabled innovative accident detection and rescue system, aimed at improving the promptness and efficiency of accident detection and response, ultimately enhancing overall safety and reducing the severity of incidents.
The IoT Enabled Innovative Accident Detection and Rescue System described in this study integrates various components to enhance road safety and emergency response mechanisms. At its core, an Arduino Uno microcontroller serves as the central processing unit, interfacing with multiple sensors and output devices. An alcohol sensor detects alcohol levels, alerting the system if the driver is under the drunk state. MEMS sensors capture vehicle positions, while GPS technology provides location data. An LCD screen displays relevant information to users, and a buzzer delivers audible alerts in the event of an accident. Additionally, a breaking motor, controlled by a motor driver, enables sudden braking, enhancing vehicle safety. In case of an accident, the system automatically sends distress messages to nearby hospitals and police stations via GSM communication. Moreover, it uploads essential data to a web server for detailed investigation. This comprehensive approach not only detects accidents promptly but also initiates rescue measures, making roads safer and improving emergency response times.
Keywords: Arduino Uno, Alcohol sensor, MEMS, GPS, GSM, web server, LCD, Buzzer, Motor driver, Motor, Braking system.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
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