Vehicular Black Box

Varun Srivastava; Srijan Mandal; R. Jayaraj

Vehicular Black Box

October 2017

Vol-3, Issue-5

Paper ID: 6842

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Black Box Raspberry Pi Hall effect sensor camera module

Abstract

This paper presents the concept of Vehicular Black Box by utilizing a Raspberry Pi (or any other mini-pc) for processing data collected by various sensors and modules to sense and calculate various metrics of a vehicle. The various metrics can potentially help reconstruct situations such as collisions/accidents leading to possibly quick resolution of vehicular accident cases. The Vehicular Black Box may contain modules like a hall-effect sensor, which senses change in magnetic field to calculate the speed of the vehicle. A crash collision sensor can senses impacts. A video camera module can record the vehicles journey from the driver’s point of view. These could prove influential in resolving cases and insurance claims.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Varun Srivastava	SRM University
2	Srijan Mandal	SRM University
3	R. Jayaraj	SRM University

How to Cite

Use the following formats to cite this article in your research.

APA Style

Srivastava, Varun, Mandal, Srijan, & Jayaraj, R. (2017). Vehicular Black Box. International Journal of Advance Research and Innovative Ideas In Education, 3(5), 1510-1513.

MLA Style

Srivastava, Varun, et al. "Vehicular Black Box." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 5, 2017, pp. 1510-1513.

IEEE Style

Varun Srivastava, Srijan Mandal, and R. Jayaraj, "Vehicular Black Box," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 5, pp. 1510-1513, 2017.

Vancouver Style

Srivastava Varun, Mandal Srijan, Jayaraj R.. Vehicular Black Box. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(5):1510-1513.

Harvard Style

Srivastava, Varun, Mandal, Srijan, & Jayaraj, R. (2017) 'Vehicular Black Box', International Journal of Advance Research and Innovative Ideas In Education, 3(5), pp. 1510-1513.

Chicago Style

Srivastava, Varun, Srijan Mandal, and R. Jayaraj. "Vehicular Black Box." International Journal of Advance Research and Innovative Ideas In Education 3, no. 5 (2017): 1510-1513.

Turabian Style

Srivastava, Varun, Srijan Mandal, and R. Jayaraj. "Vehicular Black Box." International Journal of Advance Research and Innovative Ideas In Education 3, no. 5 (2017): 1510-1513.