A Review on ARM7 Based Accident Detection Using GSM, GPS and MEMS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 1
Abstract
Traffic accidents are one of the leading causes of fatalities in most of the countries. An important indicator of survival rates after an accident is the time between the accident and when emergency medical personnel are dispatched to the scene. More the number of vehicles, more is probability of accidents. The government has undertaken number of initiatives and many awareness program but accident rate remains high. This project is about making cars more intelligent and interactive which may notify or resist user under unacceptable conditions. This system provides critical information of real time situations to the nearest police station and hospital to bring the ambulance to the spot to rescue the passengers or owner himself. Driver fatigue resulting from sleep deprivation or sleep disorders is an important factor in the increasing number of accidents on today's roads. The main components of the system consist of number of sensors like optocoupler, alcohol, ultrasonic, MEMS, GSM and a software interface with GPS and Google Maps APIs for location. This embedded system requests for emergency services whenever the vehicle met with accident, and system avoids unnecessary emergency requests incase of safe condition of passengers at that situation.
Authors and Affiliations
Yogesh J. Ingle
Keywords
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