Design and Implementation of a Car’s Black Box System Using a Raspberry Pi and a 4G Module

The design and implementation of a car’s black box system using a Raspberry Pi microcomputer and an Internet of things module is presented in this research. This system was built using a Raspberry Pi microcomputer and different sensors, including a GPS, camera module, audio module, alcohol sensor mo...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2022-06, Vol.12 (11), p.5730
Main Authors: Garcia-Barrientos, Abel, Torres-Uresti, David, Castillo-Soria, Francisco R., Pineda-Rico, Ulises, Hoyo-Montaño, Jose Antonio, Perez-Cortes, Obed, Ordaz-Oliver, Patricio
Format: Article
Language:English
Subjects:
Aircraft accidents & safety
Alcohol
Audio data
automotive
black box
Communication
Electronic control
Embedded systems
Flight
Freight cars
Global positioning systems
GPS
Internet of Things
Raspberry Pi
Sensors
Spatial data
Vehicles
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The design and implementation of a car’s black box system using a Raspberry Pi microcomputer and an Internet of things module is presented in this research. This system was built using a Raspberry Pi microcomputer and different sensors, including a GPS, camera module, audio module, alcohol sensor module, and signals from the electronic control unit. The data were stored in both a secure digital card and in the cloud using the Waveshare SIM7600G-H 4G module. The results show that this embedded system can acquire and process video, audio, GPS data, alcohol concentration, speed, temperature, etc. Finally, a graphics user interface was developed to process the stored files. This system is similar to a black box in airplanes, which records all flight information into the black box using a specific algorithm. This makes the recorded flight data accessible to authorities when needed.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12115730