Fatigue Detection Using Computer Vision
- Resource Type
- Authors
- Diarmuid Kavanagh; Mitesh Patel; Sara Lal; Peter Rossiter
- Source
- International Journal of Electronics and Telecommunications. 56:457-461
- Subject
- Engineering
genetic structures
business.industry
Binary image
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Process (computing)
medicine.anatomical_structure
Face (geometry)
medicine
Segmentation
Computer vision
Artificial intelligence
Iris (anatomy)
Eye blink
business
Focus (optics)
Face detection
- Language
- ISSN
- 0867-6747
Fatigue Detection Using Computer VisionLong duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in drivers. The system is based on computer vision with main focus on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.