Raspberry-Pi Based Secure Systems in Car

Automotive accidents leads to not only mortality of people but also causes financial cost to both people and society. This special issue is focused on reviewing history and background of automotive system by presenting recent developments. This paper aims at giving an overview of implementing safety...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2019-10, Vol.590 (1), p.12064
Main Authors: Sharmiladevi, S., Kasiselvanathan, M., Vimal, S.P.
Format: Article
Language:English
Subjects:
Accident prevention
Anti-Pinch
Drowsiness Detection
Image processing
Injury prevention
Occupant injuries
open CV
Passenger safety
Police
Power window
Raspberry-Pi
Seat belts
Security systems
Sleepiness
Traffic accidents
Traffic accidents & safety
Traffic safety
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Automotive accidents leads to not only mortality of people but also causes financial cost to both people and society. This special issue is focused on reviewing history and background of automotive system by presenting recent developments. This paper aims at giving an overview of implementing safety and security system in car for today and future development. The key enabling technology for active safety system includes drowsiness detection and Anti pinch window's effect. Other proposed concepts to be implemented are seat belt detection and alcohol detection. Driver's drowsiness is monitored using technique called image processing and it is processed through MATLAB but the main constraint in this technique is that processing speed on hardware. The idea proposed in this paper is that Open CV library is used for real time facial images analysis to warn the drowsiness of driver in order to prevent traffic accidents. Anti-pinch window system helps to avoid injuries because of power window. Seat belt alert system gives an audio output to wear seat belts for safety. Finally Alcohol detection detects a drunken driver and it will send a message to the nearby police station along with the details of the vehicle and its position. The proposed system does all the above features with the help of a Raspberry-Pi, camera and few sensors in its hard ware part along with coding computations through python which has the advantage of continuous monitoring at minimal cost thereby preventing accidental injuries to a great extent.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/590/1/012064