Real-time Driver Fatigue Detection System
Real-time Driver Fatigue Detection System
- Neue Suche nach: Jain, Ashish
- Neue Suche nach: Gandotra, Rahil
- Neue Suche nach: Madan, Tushar
- Neue Suche nach: Gururaj, C.
- Neue Suche nach: Jain, Ashish
- Neue Suche nach: Gandotra, Rahil
- Neue Suche nach: Madan, Tushar
- Neue Suche nach: Gururaj, C.
A Real-time Driver Fatigue Detection System has been developed, using image processing concepts. The system monitors the driver's eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. This report describes how to find the eyes, and also how to determine if the eyes are open or closed. The system deals with using information obtained for the binary version of the image to find the edges of the face, which narrows the area of where the eyes may exist. Once the face area is found, the eyes are found by computing the horizontal averages in the area. Taking into account the knowledge that eye regions in the face present great intensity changes, the eyes are located by finding the significant intensity changes in the face. Once the eyes are located, measuring the distances between the intensity changes in the eye area determine whether the eyes are open or closed. A large distance corresponds to eye closure. If the eyes are found closed for 5 consecutive frames, the system draws the conclusion that the driver is falling asleep and issues a warning signal.
Dokumentinformationen
Real-time Driver Fatigue Detection System
2014
5 Seiten, Bilder, Tabellen, 5 Quellen
Aufsatz (Konferenz)
Englisch
Ähnliche Titel
Eye Detection for a Real-Time Vehicle Driver Fatigue Monitoring System
| British Library Conference Proceedings | 2011
A real-time system for monitoring driver fatigue
| Online Contents | 2016
A real-time system for monitoring driver fatigue
| Taylor & Francis Verlag | 2016
Real-Time Driver Fatigue Detection Based on Eye State Recognition
| Tema Archiv | 2013
Real-Time Eye Locating and Tracking for Driver Fatigue Detection
| Trans Tech Publications | 2010