Paper Info
Title
Bright Pupil Detection in an Embedded, Real-Time Drowsiness Monitoring System
Abstract
Driver’s drowsiness is stated as an important cause of road and highway accidents. Therefore, the development of a system for monitoring the driver’s level of fatigue is desirable in order to prevent accidents. The paper presents the design and the implementation of a system able to find and evidence the drowsiness level of a driver in an ordinary motor vehicle, in order to prevent car accidents. The system, made up of a car installed infrared video camera connected to the Celoxica RC203E FPGA based board, is able to perform a real time video stream processing. The system exploits the “bright pupil” phenomenon produced by the retina, that reflects the 90% of the incident light when a radiation of 850 nm wavelength hit the retina itself. While acquiring the video, a processing chain is executed to detect driver’s eyes and to compute a PERCLOS (Percentage of Eye Closure) function linked to the drowsiness level of a driver. The achieved experimental results show that an entire 720*576 frame processing requires only 16.7ms, so that the system is able to perform real-time PAL video stream processing and has the potentiality to process 60 frames/sec. The effectiveness of the proposed drowsiness detection system has been successfully tested with a human subject in real operating condition, tracking driver’s eyes and detecting drowsiness failures.
Year
DOI
Venue
2010
10.1109/AINA.2010.151
Advanced Information Networking and Applications
Keywords
DocType
ISSN
infrared video camera,frame processing,real-time pal video stream,real-time drowsiness monitoring,drowsiness failure,detection system,bright pupil detection,car accident,real time video stream,processing chain,proposed drowsiness,drowsiness level,image recognition,operant conditioning,real time,real time systems,shape,infrared
Conference
1550-445X
ISBN
Citations 
PageRank 
978-1-4244-6695-5
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Salvatore Vitabile144460.03
Alessandra De Paola214116.81
Filippo Sorbello321829.48