Accident Prediction and Crash Recovery by using Car Black Box
P. Swetha Keerthi1, SK. Asma Parveen2, P.A.S.Sree Sowmya3, R.Vyshnavi4, Y.Jyosthna Venkat5
1P. Swetha Keerthi*, Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India.
2SK. Asma Parveen, Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India.
3P.A.S. Sree Sowmya, Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India.
4R.V yshnavi, Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India.
5Y. Jyosthna Venkat, Student, B.Tech, Electronics and Communication Engineering, Bapatla Women’s Engineering College, Bapatla Andhra Pradesh, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 29, 2020. | Manuscript published on April 10, 2020. | PP: 1394-1357 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4215049620/2020©BEIESP | DOI: 10.35940/ijitee.F4215.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Millions of peoples are losing their lives because of accidents that occur every year. The main cause of death was recorded due to the unavailability of medical services at the time of accident, and also the reason for the cause of accident is also not known. So to overcome these problems, a car black box system came into existence. Data received from the sensors are stored on the SD card mounted on raspberry pi for investigation purpose after the accident. This paper presents a technique for designing and development of GSM-GPS based intelligent vehicle tracking system using Raspberry pi controller. The proposed system uses light sensor, MQ135 Alcohol sensor, temperature sensor, Accelerometer, video recorder, Limit switch sensor, GPS and GSM modems to prevent vehicles from collisions and alert the collision of vehicles to owners. The data recorded is used for investigation purpose. The additional feature of this project is that it warns the driver whenever the sensor values exceed than the normal specification value. The data is stored in the SD card that is externally connected to the raspberry pi.
Keywords: MQ135, Accelerometer, Raspberry Pi, Limit Switch, GPS, GSM.
Scope of the Article: Regression and prediction