Method for detecting fatigue driving
A detection method and technology for fatigue driving, applied in driver input parameters, diagnostic records/measurements, sensors, etc., can solve problems such as fluctuations in accuracy, increased noise, unclear images, etc., to achieve accurate judgment results, strong relative contrast, Good anti-interference effect
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Embodiment 1
[0037] Please refer to figure 1, in an embodiment according to the present invention, the eyelid line is detected by using a rectangular feature template. The eyelid line detection device includes: an eye image acquisition module 110 and an eyelid line acquisition module 120 . The eye image acquisition module 110 is used to obtain the driver's eye image; the eyelid line acquisition module 120 is used to scan the eye image using a rectangular feature template in the driver's eye image area to obtain the eyelid line. Wherein, in an example, the eyelid line acquisition module 120 may further include a scanning unit 122 , a grayscale difference calculation unit 123 and an eyelid line drawing unit 124 . The scanning unit 122 is used to scan the eye image in columns using a rectangular feature template in the driver's eye image area; the gray scale difference calculation unit 123 is used to record the position of the maximum feature value of the rectangular feature template in each...
Embodiment 2
[0041] Please refer to figure 2 , figure 2 The illustrated embodiment is the application of the above-mentioned eyelid line detection device in a fatigue driving detection device. The fatigue driving detection device includes: an eye image acquisition module 210, an upper eyelid line acquisition module 220, a first judgment module 250 and a fatigue state judgment module 260 . The eye image acquisition module 210 is used to acquire the driver's eye image according to the driver's face image captured by the camera; the upper eyelid line acquisition module 220 is used to scan the eye image using a rectangular feature template in the driver's eye image area to obtain Upper eyelid line; the first judgment module 250 is used to judge the closed state of the eyes according to the curvature of the upper eyelid line or the curvature characteristic value; the fatigue state judgment module 260 is used to make statistics on the closed state of the eyes, and judge whether the driver is ...
Embodiment 3
[0077] In another embodiment, the accuracy of judging the state of eye closure is further improved. Because the upper eyelids of some people are relatively flat or due to looking down, the curvature of the upper eyelids is not obvious. Therefore, the curvature of the upper eyelids does not change significantly when the eyes are open and closed. If the curvature of the upper eyelids is used alone to judge the driver The closed state of the eyes sometimes causes misjudgment. In this embodiment, in addition to using the curvature of the upper eyelid to judge the driver's eye closure state, the average distance between the upper and lower eyelids is also used as an auxiliary judgment.
[0078] The structure diagram of the fatigue driving detection device of the present embodiment is as follows: Figure 7 As shown, the second judging module 280 and the lower eyelid line acquiring module 270 are added on the basis of the above embodiments. The lower eyelid line acquisition module ...
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