Method and system for detecting fatigue driving of driver

Abstract

The invention discloses a method and system for detecting the fatigue driving of a driver, and belongs to the technical field of image processing and pattern recognition. The method comprises the steps: collecting a head image of the driver; positioning an eye area of the driver; processing a positioned eye image, and obtaining the contour of an eye; calculating the eye height according to the obtained contour of the eye, and obtaining the opening degree of the eye; Judging whether the driver is fatigued or not according to the comparison of the opening degree of the eye with a set threshold value; and giving an alarm for the reminding of the driver when the driver is fatigued. The method and system can detect whether the driver is fatigued or not under the condition of difference light intensities and the condition that the driver wears sunglasses, obtain more accurate detection results, and achieves the effective prompt and warning for the driver against the fatigue driving.

Description

technical field [0001] The invention belongs to the technical field of image processing and pattern recognition, and more specifically relates to a driver fatigue driving detection method and system. Background technique [0002] Fatigue driving has already had a huge impact on road traffic safety in our country. If early warnings can be given to drivers in the early stages of fatigue, the occurrence of traffic accidents will be greatly reduced. Existing fatigue driving detection is mainly divided into contact and non-contact methods. The contact method is mainly to detect the three indicators of the driver's EEG, ECG and EMG; the non-contact method is mainly to detect the driver and vehicle action parameters through the installed camera, including the driver's facial features, vehicle driving Routes, steering wheel turns, etc. The contact method is not suitable for placement in the cab due to its large detection system. At the same time, because it needs to be in contact ...

AI Technical Summary

Problems solved by technology

However, during the driving process of the car, the external environment changes greatly. When the external light intensity is different, for example, the car may suddenly enter a dark tunnel from the bright sun, or at night, the light is weak, and the driver wears sunglasses. The detection effect will be affected when the detection is carried out under such circumstances, so this method has relatively high adaptability requirements for various environments

Without corresponding treatment, accurate test results cannot be obtained

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