Main Article Content

Abstract

This paper focuses on the enhancement of safety and security of the vehicle user. In the present scenario, the rate of occurrence of accidents and its death ratio is rapidly increasing due to violation and inattention towards rules and regulation. This system consists of many Internet of things (IOT) modules. Initially RFID is used as the key to trigger the engine, along with the startup of the camera system to identify the driver’s face using face recognition technique and is compared with the image in the license stored in the server which contains the details about the license holder to check the originality. The next module consists of alcohol detector to prevent excessive drunk and drive. Then the analysis result is shared to the server. If any discrepancies are found, then the information
is transmitted to the nearby police service along with the GPS location. Along with the accident prevention technique, a new system of accident detection technique has been proposed to overcome the problem of rescuing people from accident. The proposed system uses a vibration sensor to detect the accident occurrence and ZIGBEE to intimate the accident occurrence to the nearby rescue team.

Article Details

How to Cite
N. HAMSA NANDHNI, K. JOTHI ABHIRAMI, A. REVATHI, S. VISHMIDHA, & S.K. FAIROZE BANU. (2018). Accident prevention and detection using internet of Things (IOT) . International Journal of Intellectual Advancements and Research in Engineering Computations, 6(1), 332–338. Retrieved from https://ijiarec.com/ijiarec/article/view/460