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Call for Papers:Vol.11 Issue.3

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Title: :  Vehicular Black Box
PaperId: :  6842
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 5 2017
DUI:    16.0415/IJARIIE-6842
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Varun SrivastavaSRM University
Srijan MandalSRM University
R. JayarajSRM University

Abstract

Information Technology
Black Box, Raspberry Pi, Hall effect sensor, camera module
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.

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IJARIIE Varun Srivastava, Srijan Mandal, and R. Jayaraj. "Vehicular Black Box" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 5 2017 Page 1510-1513
MLA Varun Srivastava, Srijan Mandal, and R. Jayaraj. "Vehicular Black Box." International Journal Of Advance Research And Innovative Ideas In Education 3.5(2017) : 1510-1513.
APA Varun Srivastava, Srijan Mandal, & R. Jayaraj. (2017). Vehicular Black Box. International Journal Of Advance Research And Innovative Ideas In Education, 3(5), 1510-1513.
Chicago Varun Srivastava, Srijan Mandal, and R. Jayaraj. "Vehicular Black Box." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 5 (2017) : 1510-1513.
Oxford Varun Srivastava, Srijan Mandal, and R. Jayaraj. 'Vehicular Black Box', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 5, 2017, p. 1510-1513. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Vehicular_Black_Box_ijariie6842.pdf (Accessed : 07 April 2025).
Harvard Varun Srivastava, Srijan Mandal, and R. Jayaraj. (2017) 'Vehicular Black Box', International Journal Of Advance Research And Innovative Ideas In Education, 3(5), pp. 1510-1513IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Vehicular_Black_Box_ijariie6842.pdf (Accessed : 07 April 2025)
IEEE 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, Sep-Oct 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/Vehicular_Black_Box_ijariie6842.pdf [Accessed : 07 April 2025].
Turabian Varun Srivastava, Srijan Mandal, and R. Jayaraj. "Vehicular Black Box." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 5 (07 April 2025).
Vancouver Varun Srivastava, Srijan Mandal, and R. Jayaraj. Vehicular Black Box. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 07 April 2025]; 3(5) : 1510-1513. Available from: https://ijariie.com/AdminUploadPdf/Vehicular_Black_Box_ijariie6842.pdf
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