Proceedings ArticleDOI
A Drowsy Driver Detection and security system
Rajat Garg,Vikrant Gupta,Vineet Agrawal +2 more
- pp 1-8
TLDR
Biometric security through Iris recognition that will help in authentication and an improved sleep detection and driver alert system by monitoring both the driver's eyes as well as senseing the heat variation of the body via infrared thermal sensor is incorporated.Abstract:
This paper presents a new approach towards automobile safety and security. We propose three distinct but closely related concepts viz. an Iris Recognition system, a Drowsy Driver Detection system and a Distress Signalling system using non-intrusive machine vision based concepts. In recent time's automobile theft and fatigue related crashes have really magnified. In order to minimize these issues, we have incorporated Biometric security through Iris recognition that will help in authentication and an improved sleep detection and driver alert system by monitoring both the driver's eyes as well as senseing the heat variation of the body via infrared thermal sensor. Distress Signalling system is incorporated for drivers to get assistance from the Police in need without revealing it to people present around him. This paper combines computer vision, pattern recognition and optics. All image processing was performed using NI Vision Assistant. Also NI LabVIEW was used to take the current body temperature from the temperature sensors attached to the DAQ (Data Acquisition) Signal Accessory.read more
Citations
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Journal ArticleDOI
Real-time physiological and vision monitoring of vehicle driver for non-intrusive drowsiness detection
TL;DR: A non-intrusive drowsy-monitoring system is developed to alert the driver if driver falls into low arousal state where the driver's health and mental states can be monitored in real-time without constraints.
Proceedings ArticleDOI
Real-time eye tracking using a smart camera
TL;DR: A smart camera, LabVIEW and vision software tools are utilized to generate eye detection and tracking algorithms and the implemented algorithms and performance results of these algorithms on the smart camera are presented.
Proceedings ArticleDOI
EyeAwake: A cost effective drowsy driver alert and vehicle correction system
TL;DR: EyeAwake monitors the behavioral and physiological characteristics of the driver such as eye blinking rate, unnatural head nodding/swaying, breathing rate and heart rate to detect drowsy driving and is capable of providing exterior visual notifications to other drivers and pedestrians on the road to steer clear from the drowsily driven vehicle.
Proceedings ArticleDOI
Driver safety awareness and assistance system for cognitive vehicle control
Janani. N,Saranya. N +1 more
TL;DR: This paper proposes an integrated concept of steering wheel grip force measurement and HRV that employs various features such as Mobile Baseband Monitoring, Hands Free Auto-Reply SMS, Driver Fatigue Warning, Drunk and Drive Prevention, Collision Pre safe Activation, GSM and GPS Based Accident/Panic Alert using ARM Cortex M3 to assist the driver, thus preventing his malfunctions and ensures a safe journey.
Dissertation
Context Aware Drivers' Behaviour Detection System for VANET
TL;DR: VANET safety applications are considered to represent a vital step towards improving road safety and enhancing traffic efficiency, as a consequence of their capacity to share information about the road between moving vehicles.
References
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Journal ArticleDOI
The importance of being random: statistical principles of iris recognition
TL;DR: The statistical variability that is the basis of iris recognition is analysed in this paper using new large databases, presenting the results of 9.1 million comparisons among several thousand eye images acquired in trials in Britain, the USA, Japan and Korea.
Patent
Biometric personal identification system based on iris analysis.
TL;DR: In this article, the sign of the projection of many different parts of the iris onto these filters determines each bit in an iris code, and the similarity metric (Hamming distance) is computed from the XOR of any two iris codes.
Proceedings ArticleDOI
A fingerprint recognition algorithm using phase-based image matching for low-quality fingerprints
TL;DR: Experimental evaluation of the proposed fingerprint recognition algorithm using phase components in 2D (two-dimensional) discrete Fourier transforms of fingerprint images demonstrates an efficient recognition performance compared with a typical minutiae-based algorithm.
Proceedings ArticleDOI
Driver blink measurement by the motion picture processing and its application to drowsiness detection
TL;DR: In this article, a method for measuring the blinking of a driver in real time by motion picture processing was developed, and a method to presuming consciousness degradation from the change in blink duration was developed.