Automatic Vehicle Accident Detection and Reporting with a Blackbox

Volume: 10 | Issue: 02 | Year 2024 | Subscription
International Journal of Analog Integrated Circuits
Received Date: 10/22/2024
Acceptance Date: 11/08/2024
Published On: 2024-11-20
First Page: 21
Last Page: 30

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By: Nidhi Nityanand Bharati, Aditya Gajanan Joshi, Harshad Dashrath Joshi, Niraj Dipak Patil, and Pradnya S. Narnaware

1.Nidhi Nityanand Bharati,Student, Department of Electrical Engineering, A.C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
2.Aditya Gajanan Joshi,Assistant Professor, Department of Electrical Engineering, A.C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
3. Harshad Dashrath Joshi,Student, Department of Electrical Engineering, A.C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
4. Niraj Dipak Patil,Student, Department of Electrical Engineering, A.C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
5. Pradnya S. Narnaware,Student, Department of Electrical Engineering, A.C. Patil College of Engineering, Navi Mumbai, Maharashtra, India

Abstract

The development and deployment of digital driving technology for a semi-autonomous vehicle is the main goal of this project. Enhancing the driver-vehicle interaction and adding black box functionality are the objectives. The system utilizes an Arduino-based data acquisition system, converting analog control data to digital format and displaying it on an LCD. Communication occurs via embedded networking using the CAN protocol, ensuring efficient data transfer. The system also collects feedback on vehicle conditions such as speed and engine temperature, all controlled by the main controller. Additionally, it features GPS and an ESP32 for various purposes. By consolidating multiple solutions into one, this system analyzes vehicular accidents objectively, aiming to prevent loss of life and property. It provides a smart dashboard, enhances security with anti-theft measures, and offers remote tracking and monitoring features. Essentially, it transforms any ordinary vehicle into a smart one, prioritizing user experience and accident prevention.

Keywords: Black Box, LCD, CAN, GPS, ESP32

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Citation:

How to cite this article: Nidhi Nityanand Bharati, Aditya Gajanan Joshi, Harshad Dashrath Joshi, Niraj Dipak Patil, and Pradnya S. Narnaware, Automatic Vehicle Accident Detection and Reporting with a Blackbox. International Journal of Analog Integrated Circuits. 2024; 10(02): 21-30p.

How to cite this URL: Nidhi Nityanand Bharati, Aditya Gajanan Joshi, Harshad Dashrath Joshi, Niraj Dipak Patil, and Pradnya S. Narnaware, Automatic Vehicle Accident Detection and Reporting with a Blackbox. International Journal of Analog Integrated Circuits. 2024; 10(02): 21-30p. Available from:https://journalspub.com/publication/ijaic/article=12138

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