Open Access Open Access  Restricted Access Subscription Access

BLACK BOX FOR CARS

AKSHAYA S, ALLAN V PANICKER, JOEL JOHNSON, KARTHIK ASOK, CHINNU RAVI

Abstract


As vehicle accidents have being increased day by day it is high time to resolve this issue. To solve this issue and improve road safety, a "Black Box" system has been proposed. This system involves the installation of a device in vehicles that records various data, including engine temperature, speed, location. Collected data, such as snapshots and sensor readings, are transmitted via GSM GPS module to authorities, enabling quick response and assistance in the event of accidents. This system aims to monitor accidents on roads and provide immediate help to casualties if needed. This system also stores vehicle information for further accident investigation. Integrating ultrasound sensors into a car's black box or telematics system can offer several benefits, particularly in terms of enhancing safety and providing valuable data .It can be employed to detect obstacles around the vehicle in real-time. If an obstacle is detected, the black box can log this information, which might be useful for accident[9] analysis or to provide context in case of collisions. Drowsiness[10]on a car black box,can be equipped with various sensors to detect signs of drowsiness and alert the driver or record relevant.


Full Text:

PDF

References


L. Jiang and C. Yu, "Design and Implementation of Car Black Box Based on Embedded System," 2010 International Conference on Electrical and Control Engineering, Wuhan, China, 2010, pp. 3537-3539

Duy Le Nguyen, Myung-Eui Lee and A. Lensky, "The design and implementation of new Vehicle Black Box using the OBD information," 2012 7th International Conference on Computing and Convergence Technology (ICCCT), Seoul, Korea (South), 2012, pp. 1281-1284.

S. Sethuraman and S. Santhanalakshmi, "Implementing Vehicle Black Box System by IoT based approach," 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184), Tirunelveli, India, 2020, pp. 390-395

M. Karrouchi, I. Nasri, H. Snoussi, I. Atmane, A. Messaoudi and K. Kassmi, "Black box system for car/driver monitoring to decrease the reasons of road crashes," 2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), Alkhobar, Saudi Arabia, 2021, pp. 01-06

H. -M. Moon, K. -H. Kim, M. Lee, P. Kim and S. B. Pan, "A study on the context aware system for intelligent automobile black box," The 27th Chinese Control and Decision Conference (2015 CCDC), Qingdao, China, 2015, pp. 2536-2540

C. Patil, Y. Marathe, K. Amoghimath and S. S. David, "Low Cost Black Box for Cars," 2013 Texas Instruments India Educators' Conference, Bangalore, India, 2013, pp. 49-55.

C. Hong, T. Le, K. Chae and S. Jung, "Evidence collection from car black boxes using smartphones," 2011 IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, USA, 2011, pp. 836-837.

A. B. M. R. Islam et al., "Efficient black-box maintenance scheduler and rescue system," The 2nd International Conference on Next Generation Information Technology, Gyeongju, Korea (South), 2011, pp. 159-162.

S. Reeja and V. S. Jayaraj, "An embedded based approaches for accident analysis using event data recorder," 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE), Karur, India, 2017, pp. 1-5.V.

Kalisetti, V. S. C. Vasarla, S. B. Kolli, R. Varaparla, V. Enireddy and M. Mohammed, "Analysis of Driver Drowsiness Detection Methods," 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2023, pp. 1481-1485.


Refbacks

  • There are currently no refbacks.