Automatic Vehicle Accident detection using GSM and GPS
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 8
Abstract
The Rapid magnification of technology and infrastructure has made our lives more facile. The advent of technology has additionally incremented the traffic hazards and the road accidents take place frequently which causes immensely colossal loss of life and property because of the poor emergency facilities. Our project will provide an optimum solution to this disadvantages. An accelerometer can be used in a car alarm application so that dangerous driving can be detected. It can be utilized as a crash or rollover detector of the conveyance during and after a crash. With signals from an accelerometer, a rigorous contingency can be apperceived. According to this project when a conveyance meets with a contingency immediately Vibration sensor will detect the signal or if a car rolls over, and Micro electro mechanical system (MEMS) sensor will discovers the signal and sends it to ARM controller. Microcontroller sends the alert message through the GSM MODEM involving the location to police control room or a rescue team. So the police can immediately trace the location through the GPS MODEM, after holding the information. Then after conforming the location obligatory action will be taken. If the person meets with a minuscule contingency or if there is no solemn threat to anyone`s life, then the alert message can be ended by the driver by a switch provided in order to eschew wasting the valuable time of the medical rescue team. This paper is utilizable in detecting the contingency defined by indicate of both vibration sensor and Micro electro Mechanical system (MEMS). As there is a scope for amelioration and as a future implementation we can integrate a wireless webcam for capturing the images which will avail in providing driver`s assistance.
Authors and Affiliations
Mandlik Sachin, Sul Sitaram, Deotarses Harshal , Waditke Akshay
Keywords
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- EP ID EP22485
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