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In some critical situations, cars may undergo accidents, as a result of this human space lost its life. Some people can be saved immediately, but due to a lack of information and time, it may not become possible. Our project will provide a good solution for what goes back. In this car alarm application an accelerometer is used which is used for detecting accidents. It can be also used for crash recording of the vehicle. As a result, a severe accident can be recognized with the help of signals from an accelerometer. This main component in this project is Raspberry pi which is interfaced with alcohol detector, IR sensor, camera, motor (engine), MEMS accelerometer. The engine starts to run if person is not drunk, worn seat belt and his/her face is recognized by the image processing techniques. If anyone of the any condition fails, the engine fails to run. The other main advantage of the project is, even if the person starts to drink alcohol once the engine is started, then alcohol sensor senses the alcohol content of the driver and stops the engine. According to this project when a vehicle met with an accident immediately the vehicle location will be sent to registered mobile numbers like family members. So, that the family members can immediately pass on the information to the nearby police station and hospital and they can immediately trace the location in terms of latitudes and longitudes and perform necessary action. This project is used in vehicles for accidental detection and it also provides driver and car safety requirements too. [ABSTRACT FROM AUTHOR]