Bright Pupil Detection in an Embedded, Real-time Drowsiness Monitoring System

Risultato della ricerca: Otherpeer review

22 Citazioni (Scopus)


Driver’s drowsiness is stated as an important cause of road and highway accidents. Therefore, the development of asystem for monitoring the driver’s level of fatigue is desirable in order to prevent accidents. The paper presents the design andthe implementation of a system able to find and evidence the drowsiness level of a driver in an ordinary motor vehicle, in orderto prevent car accidents. The system, made up of a car installed infrared video camera connected to the Celoxica RC203E FPGAbased 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 ofEye 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 ofthe proposed drowsiness detection system has been successfully tested with a human subject in real operating condition, trackingdriver’s eyes and detecting drowsiness failures.
Lingua originaleEnglish
Numero di pagine8
Stato di pubblicazionePublished - 2010

All Science Journal Classification (ASJC) codes

  • ???subjectarea.asjc.2200.2200???


Entra nei temi di ricerca di 'Bright Pupil Detection in an Embedded, Real-time Drowsiness Monitoring System'. Insieme formano una fingerprint unica.

Cita questo