Abstract: Day by day the number of accidents is increasing at very high rates. In India, more than 150,000 people killed each year in traffic accidents. The large majority of accidents are occurred due to the unconscious states of the driver. Only few of the accidents occurred in a conscious state. There are many victims of the accidents other than drivers. It is very challenging to develop an accurate system to prevent accidents. An efficient system should consist of the mechanisms for drowsiness detection, alcoholic detection and accident detection. After detecting the condition the system itself should take the appropriate measure. The main aim should be the safety of drivers. In this paper we are presenting a brief overview of different methods to prevent and detect accidents. Drowsiness can be detected by using IR sensor or camera. Alcoholic rate can be detected by using sensors like MQ-3. The accidents are detected by using accelerometer sensors. After detecting the unconscious state the system will alert the driver. Even after alerting, if the driver continues in the unconscious state due to drowsiness or drunken the system will stop the vehicle and inform the relatives or helpline numbers. If the system is implemented in all cars the number of accidents can be reduced.
Keywords: Alcohol, Sensor, Accident, Drowsiness, Detection, Unconscious, Vehicle
| DOI: 10.17148/IJARCCE.2019.81221