Accident Prediction and Crash Recovery by using Car Black Box

• Published in: International journal of innovative technology and exploring engineering 2020-04, Vol.9 (6), p.1394-1397
• Main Authors: Keerthi, P. Swetha, Parveen, SK. Asma, Sowmya, P.A.S.Sree, Vyshnavi, R., Venkat, Y. Jyosthna, Bollimuntha (Guide), Maha Lakshmi
• Format: Article
• Language: English
• ISSN: 2278-3075; 2278-3075
• DOI: 10.35940/ijitee.F4215.049620

In the desire of experiencing the taste of speed and not following the traffic rules many people are losing their lives in the road accidents. As they were happening far from the living areas the others will not be aware about these accidents and also due to lack of information regarding the accident, the medical facilities were also not able to reach them. To overcome these situations we have designed a GSM-GPS based intelligent vehicle tracking system using Raspberry Pi controller. This system consists of light sensor, MQ135 Alcohol sensor, temperature sensor, accelerometer, video recorder, limit switch sensor, GPS and GSM modems to prevent vehicles from collisions and alert while colliding. All the sensors are connected to the Raspberry pi controller. In addition to this an SD card is provided to collect and save the data from the sensors. We can recover this data from this SD card to know the reason behind the accident and can avoid it from happening again. When an accident is occurred the information about the accident will be sent to the preregistered number through an sms. The main feature of this system is whenever the sensors records a value beyond the specified value whether it is about crossing the lane line, not wearing seat belt, the driver is drunk, or reaching close to the other vehicles etc.., an alert message will be sent to the preregistered number.