CN107918215A - Prevent the glasses of fatigue driving - Google Patents
Prevent the glasses of fatigue driving Download PDFInfo
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- CN107918215A CN107918215A CN201711241825.2A CN201711241825A CN107918215A CN 107918215 A CN107918215 A CN 107918215A CN 201711241825 A CN201711241825 A CN 201711241825A CN 107918215 A CN107918215 A CN 107918215A
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- G—PHYSICS
- G02—OPTICS
- G02C—SPECTACLES; SUNGLASSES OR GOGGLES INSOFAR AS THEY HAVE THE SAME FEATURES AS SPECTACLES; CONTACT LENSES
- G02C11/00—Non-optical adjuncts; Attachment thereof
- G02C11/10—Electronic devices other than hearing aids
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- Business, Economics & Management (AREA)
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- Acoustics & Sound (AREA)
- General Health & Medical Sciences (AREA)
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Abstract
The present invention relates to a kind of glasses for preventing fatigue driving, including：Camera arrangement, is arranged at the specific location of the glasses, for shooting the eyes image of driver；Processor, is electrically connected the camera arrangement, for receiving and processing the eyes image to judge the degree of fatigue of the driver；Warning device, is electrically connected the processor, and standby signal is generated in the driver tired driving.The glasses provided by the invention for preventing fatigue driving, the eyes image by analyzing driver judge the degree of fatigue of driver, in driver tired driving and alarm, effectively reduce the danger that fatigue driving is brought, enhance the security of driving.
Description
Technical field
The present invention relates to field of image recognition, more particularly to a kind of glasses for preventing fatigue driving.
Background technology
As economic level increasingly improves, the use of automobile is more and more extensive, but while trip is convenient for people to, institute
The traffic accident of generation is also more and more, wherein greatly as caused by fatigue driving.
Fatigue driving is always mankind highway killer, and driver occurs blurred vision, acts stiff, trick hair when tired
Phenomena such as swollen, energy is not concentrated, is slow in reacting, if still driven reluctantly at this time, is just likely to result in the hair of traffic accident
It is raw.
It is higher that the ratio of total traffic accident is accounted for because of the traffic accident that fatigue driving is occurred at present, causes fortune to damage
Lose, entail dangers to people's life security is gone back when serious, therefore how to take precautions against fatigue driving and have become reduction Modern Traffic accident hair
One important topic of raw rate.
The content of the invention
Therefore, it is to solve technological deficiency existing in the prior art and deficiency, the present invention proposes a kind of to prevent fatigue driving
Glasses, including：
Camera arrangement, is arranged on the frame of the glasses, for shooting the eyes image of driver；
Processor, is electrically connected the camera arrangement, for receiving and processing the eyes image to judge the driver
Degree of fatigue；
Warning device, is electrically connected the processor, for generating standby signal in the driver tired driving.
In an embodiment of the invention, the camera arrangement is infrared camera, and correspondingly, the eyes image is
Infrared eyes image.
In an embodiment of the invention, which further includes first memory, and the first memory is electrically connected
The processor, for receiving and storing the first compares figure picture sent by Cloud Server.
In an embodiment of the invention, the first compares figure picture is high in the clouds eyes image prototype, the high in the clouds
Eyes image prototype gathers multiple eyes images by big data and establishes eyes image model to obtain.
In an embodiment of the invention, the processor is used to handle eyes image, from the first memory
In transfer the first compares figure picture, processing is compared with the first compares figure picture in the eyes image, to judge
State whether driver is in fatigue driving state.
In an embodiment of the invention, which further includes second memory, and the second memory is electrically connected
The processor, for storing the second compares figure picture.
In an embodiment of the invention, the second compares figure picture includes localization eyes image prototype, described
It is by being modeled in advance to eyes image of the driver under non-fatigue driving state to localize eyes image prototype
And obtain.
In an embodiment of the invention, the processor be used for handle eyes image, by the eyes image with
Processing is compared in the localization eyes image prototype, to judge whether the driver is in fatigue driving state.
In an embodiment of the invention, the processor is specifically used for：
The eyes image is extracted, binaryzation eye gray-scale map is formed according to the eyes image；
Canthus point is determined according to the binaryzation eye gray-scale map；
Eye state is determined according to the canthus point, to obtain the aperture size of the driver's eyes.
The glasses provided by the invention for preventing fatigue driving, the eyes image by analyzing driver judge that driver's is tired
Labor degree, in driver tired driving and alarm, effectively reduces the danger that fatigue driving is brought, enhances the peace of driving
Quan Xing.
By the detailed description below with reference to attached drawing, other side of the invention and feature become obvious.But it should know
Road, which is only the purpose design explained, not as the restriction of the scope of the present invention, this is because it should refer to
Appended claims.It should also be noted that unless otherwise noted, it is not necessary to which scale attached drawing, they only try hard to concept
Ground illustrates structure and flow described herein.
Brief description of the drawings
Below in conjunction with attached drawing, the embodiment of the present invention is described in detail.
Fig. 1 is a kind of Glasses structure schematic diagram for preventing fatigue driving provided by the invention；
Fig. 2 is the glasses and the schematic diagram of Cloud Server communication connection provided by the invention for preventing fatigue driving；
Fig. 3 be the present invention also provides a kind of fatigue driving threshold setting method schematic diagram；
Fig. 4 is a kind of eyes image schematic diagram provided in an embodiment of the present invention；
Fig. 5 is a kind of eyes image grey level histogram provided in an embodiment of the present invention；
Fig. 6 is a kind of eyes image binaryzation grey level histogram provided in an embodiment of the present invention；
Fig. 7 is a kind of binaryzation eye gray-scale map schematic diagram provided in an embodiment of the present invention；
Fig. 8 is a kind of eye angle point grid schematic diagram provided in an embodiment of the present invention；
Fig. 9 is a kind of canthus angle schematic diagram provided in an embodiment of the present invention.
Embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, below in conjunction with the accompanying drawings to the present invention
Embodiment be described in detail.
Embodiment one
Please refer to Fig.1, Fig. 1 is a kind of Glasses structure schematic diagram for preventing fatigue driving provided by the invention, the glasses bag
Include：
Camera arrangement 101, is arranged at the specific location of the glasses, for example, being arranged on the frame of the glasses, uses
In the eyes image of shooting driver；
Processor 102, is electrically connected the camera arrangement 101, described to judge for receiving and processing the eyes image
The degree of fatigue of driver；
Warning device 103, is electrically connected the processor 102, for the generation prompting letter in the driver tired driving
Number.
The glasses provided by the invention for preventing fatigue driving, the eyes image by analyzing driver judge that driver's is tired
Labor degree, in driver tired driving and alarm, effectively reduces the danger that fatigue driving is brought, enhances the peace of driving
Quan Xing.
In a kind of embodiment provided by the invention, the camera arrangement 101 is infrared camera, correspondingly, the eye
Portion's image is infrared eyes image.
In the case where night is dark, the effect based on the capture apparatus of visible ray when shooting eyes image is not
Good, therefore, the present embodiment uses infrared camera to solve the problems, such as that night is insufficient, for example, the infrared light supply using 850nm
Eyes image is gathered with the CCD of infrared light supply sensitivity, because the infrared ray of the wave band is non-visible light for driver,
Interference will not be produced to driver.
Processor provided in this embodiment can be CPU, arm processor, and FPGA etc. has the processing unit of processing function.
Further, on the basis of above-described embodiment, Fig. 2 is referred to, Fig. 2 prevents fatigue driving to be provided by the invention
The communication connection of glasses and Cloud Server schematic diagram.Glasses provided by the invention further include first memory 104, and described first
Memory 104 is electrically connected the processor 102, for receiving and storing the first compares figure picture sent by Cloud Server.
Preferably, the first compares figure picture is high in the clouds eyes image prototype, and the high in the clouds eyes image prototype is to pass through
Big data gathers multiple eyes images and establishes eyes image model and obtain.
Further, on the basis of above-described embodiment, the processor 102 is used to handle eyes image, from described the
The first compares figure picture is transferred in one memory 104, place is compared with the first compares figure picture in the eyes image
Reason, to judge whether the driver is in fatigue driving state.
In the present embodiment, which is equipped with wireless telecom equipment, using the wireless networks such as such as WLAN, 2G/3G/4G with
Cloud Server carries out wireless communication.Wherein, Cloud Server is stored with the eye of the multiple drivers obtained in a manner of big data
Characteristics of image, establishes unitized model to form high in the clouds eyes image prototype.
Preferably, cloud server also stores the high in the clouds threshold value with statistical significance, if for example, the eye of the driver
The similarity of eyes image when image in the eyes image prototype of high in the clouds with being in fatigue driving reaches high in the clouds threshold value, or similar
Degree reaches the threshold value of artificial settings, then can determine whether that the driver is in fatigue driving state.
Further, on the basis of above-described embodiment, glasses provided by the invention further include second memory, and described
Two memories are electrically connected the processor 102, for storing the second compares figure picture.
Preferably, the second compares figure picture includes localization eyes image prototype, the localization eyes image prototype
It is to be obtained by being modeled in advance to eyes image of the driver under non-fatigue driving state.
Correspondingly, the processor 102 of glasses provided by the invention is used to handle eyes image, by the eyes image and institute
State localization eyes image prototype and processing is compared, to judge whether the driver is in fatigue driving state.
In the present embodiment, localize eyes image prototype for the driver from drive routine when eyes image,
By gathering the driver in initial drive, i.e., non-fatigue driving when eyes image feature great amount of samples, processor 102
The great amount of samples is trained, to obtain the normal driving eyes image for the driver, that is, it is former to localize eyes image
Type.Once processor 102 judges the eyes image of driver and localizes the difference of eyes image prototype to exceed and in advance artificially set
Fixed threshold value, then warning device 103 can be immediately generated alerting signal, such as send voice prompt, or produce vibration.
Please refer to Fig.3, Fig. 3 be the present invention also provides a kind of fatigue driving threshold setting method schematic diagram：By adopting
Collecting the eyes image of the 1000 width drivers in initial driving condition, eyes open the degree of closing in this 1000 width eyes image,
Different is had, obtains 1000 accordingly and open to close degree sample.In general, the sample of collection is more, point of these samples
Cloth more tends to normal distribution.If 800 samples (including average value) immediate with average value are first in normal distribution figure
Sample sets, remaining 200 samples are the second sample sets.The sample of eye opening degree maximum in the second sample sets is chosen, for example, the 15th
Number sample is threshold value.If opening eyes degree in less than No. 15 samples of eye opening degree of driver's its eyes image when driving, this
When the driver be fatigue driving.
The present embodiment reduces the error that individual eyes image feature difference is brought using localization eyes image prototype, can
To improve the accuracy judged, the rate of false alarm of fatigue driving is reduced.
Further, on the basis of above-described embodiment, the processor (102) is used to handle eyes image, specific to use
In：
The eyes image is extracted, binaryzation eye gray-scale map is formed according to the eyes image；
Canthus point is determined according to the binaryzation eye gray-scale map；
Eye state is determined according to the canthus point, to obtain the aperture size of the driver's eyes.
Embodiment two
The present embodiment judges eye opening, the flow of closed-eye state to preventing the glasses of fatigue driving from determining eyes aperture
It is described further, which includes：
Step 1, obtain eyes image；Specifically, the eye of driver can be clapped by the camera arrangement 101 in glasses
Take the photograph and obtain；Then, the processor 102 in glasses performs：
Step 2, according to eyes image formed binaryzation eye gray-scale map；
Step 3, according to binaryzation eye gray-scale map determine canthus point；
Step 4, according to canthus point determine eye state.
Wherein, for step 2, it is specifically as follows：
According to the contrast of area of skin color, eyeball region and white of the eye region in eyes image, calculated using three color shade watersheds
Method, extracts informer's profile, forms binaryzation eye gray-scale map.
Wherein, for using three color shade watershed algorithms in step 2, extraction informer profile forms binaryzation eye gray scale
Figure, is specifically as follows：
The gray value of all pixels, forms grey level histogram in step 21, extraction eyes image；
Step 22, the grey value difference according to area of skin color, eyeball region and white of the eye region, by grey level histogram two-value
Change, form binaryzation grey level histogram；
Step 23, extract informer's profile formation binaryzation eye gray-scale map according to binaryzation grey level histogram.
Wherein, for binaryzation grey level histogram in step 22 include the first gray value interval, the second gray value interval and
3rd gray value interval；
Wherein, for step 23, can include：
Determine that the first adjusting threshold value, second adjust threshold value and the 3rd adjusting threshold value according to binaryzation grey level histogram；
Threshold value, the second adjusting threshold value and the 3rd adjusting threshold value extraction informer profile, which are adjusted, according to first forms binaryzation eye
Gray-scale map.
Wherein, in step 23 according to binaryzation grey level histogram determine the first adjusting threshold value, second adjust threshold value and
3rd adjusts threshold value, can include：
Average is taken to adjust threshold as first the minimum value of the maximum of first gray value interval and the second gray value interval
Value；
Average is taken to adjust threshold as second the minimum value of the maximum of second gray value interval and the 3rd gray value interval
Value；
Threshold value is adjusted using the maximum of the 3rd gray value interval as the 3rd.
Wherein, for adjusting threshold value, the second adjusting threshold value and the 3rd adjusting threshold value extraction informer according to first in step 23
Profile forms binaryzation eye gray-scale map, can include：
The eyes image of binaryzation is divided into the according to the first adjusting threshold value, the second adjusting threshold value and the 3rd adjusting threshold value
One pixel region, the second pixel region and the 3rd pixel region；
Set the first pixel region identical with the gray value of the second pixel region；
Informer's profile is extracted according to the first pixel region, the second pixel region and the 3rd pixel region and forms binaryzation eye
Portion's gray-scale map.
Wherein, for step 3, it is specifically as follows：
The first straight line using eyeball center as the center of circle is rotated in binaryzation eye gray-scale map, when in first straight line
When the pixel of 3rd pixel region is most, first straight line will form two with the second pixel region and the 3rd pixel region intersection
A first intersection point, using two the first intersection points as First view angle point and the second canthus point；
The second straight line using eyeball center as the center of circle is rotated in binaryzation eye gray-scale map, when in second straight line
When the pixel of 3rd pixel region is minimum, second straight line will form two with the second pixel region and the 3rd pixel region intersection
A second intersection point, using two the second intersection points as the 3rd canthus point and four eyed angle point.Wherein, for step 4, can wrap
Include：
Connect First view angle point, the second canthus point, the 3rd canthus point and four eyed angle point and form the first canthus angle, second
Canthus angle, the 3rd canthus angle and the 4th canthus angle；
According to the first canthus angle, the second canthus angle, the 3rd canthus angle and the 4th canthus angle, pass through eye state
Equations eye state value；
Eye state is determined according to the size of eye state value.
Wherein, it is for eye state equation in step 4：
Wherein, offset0 and offset1 is error compensation, b1, b2, b3, b4 be respectively the first canthus angle, second
Angle angle, the 3rd canthus angle and the 4th canthus angle.
The glasses for preventing fatigue driving in the present embodiment determine eyes aperture, and then judge eye opening, the stream of closed-eye state
Journey, without substantial amounts of high-definition image learning template, can preferably reduce computational complexity, improve real-time, and reliability is high, tool
Have wide practical use, originally prevent the glasses of fatigue driving in addition without being equipped with equipment costly, it is of low cost.
Embodiment three
On the basis of above-described embodiment, the present embodiment is determining the process of eye state to the glasses for preventing fatigue driving
It is described further.
The determination process includes the following steps：
Step 1, obtain eyes image
By the means such as take pictures, the image of simple eye is obtained, as shown in figure 4, Fig. 4 is provided in an embodiment of the present invention one
Kind eyes image schematic diagram.
Step 2, extraction informer's profile
According to the contrast of area of skin color, eyeball region and white of the eye region in eyes image, calculated using three color shade watersheds
Method, extracts informer's profile.It is specific as follows：
Step a), the gray value for extracting pixel
Extract the gray value of all pixels in eyes image, because area of skin color, eyeball region and this 3 areas of white of the eye region
The gray value in domain has notable difference, and in any 1 region in 3 regions, containing a greater number pixel, these pixels
Gray value be nearly at same scope.
Step b), set adjusting threshold value
Due to photo accuracy reason, compensation is set；According to the different colours of skin, area of skin color is set；Area of skin color, eyeball area
The corresponding threshold value that adjusts in domain and these three regions of white of the eye region is respectively the first adjusting threshold value, the second adjusting threshold value and the 3rd adjusting
Threshold value.Regulative mode can be that manually or automatically automatic adjustment mode is as follows：
Step b11), draw histogram curve, as shown in figure 5, Fig. 5 is a kind of eyes image provided in an embodiment of the present invention
Grey level histogram.Since white of the eye area grayscale value is maximum, so its gray value region is 200 or so；Eyeball area grayscale value is most
It is small, so its gray value region is 25 or so；The gray value of skin area is placed in the middle, so its gray value region is 75 or so.It is false
If other gray value area pixel numbers are essentially 0.For three kinds of regions of automatic distinguishing.It is 0 to take all pixels quantity in Fig. 5
Point, shown in equation below：
Wherein i is abscissa, and D is abscissa distance, and H is ordinate value.I.e. using i as starting point, using i+D as all of terminal
The average of the sum of ordinate, less than offset k, then this D point, is 0；Otherwise it is 1.
Step b12), Fig. 5 carried out shown in the result figure 6 that is formed after the fortran in step b1, Fig. 6 is real for the present invention
A kind of eyes image binaryzation grey level histogram of example offer is provided.Fig. 6 includes the first gray value interval 11, the second gray value interval
12 and the 3rd gray value interval 13.It is final to obtain the first adjusting threshold value, the second adjusting threshold value and the 3rd adjusting threshold value, such as following public affairs
Shown in formula：
THR1=(POS1+POS2)/2
THR2=(POS3+POS4)/2
THR3=POS5
Wherein, THR1 adjusts threshold value for first, and THR2 adjusts threshold value for second, and THR3 adjusts threshold value for the 3rd；POS1 is
The terminal (i.e. the maximum of the first gray value interval) of first gray value interval 11, POS2 are the starting point of the second gray value interval 12
(i.e. the minimum value of the second gray value interval), POS3 be the second gray value interval 12 terminal (i.e. the second gray value interval is most
Big value), POS4 is the starting point (i.e. the minimum value of the 3rd gray value interval) of the 3rd gray value interval 13, and POS5 is the 3rd gray value
The terminal (i.e. the maximum of the 3rd gray value interval) in section 13.
Step c), remember for binaryzation grey level histogram, all pixels of 0~THR1 of extraction as the first pixel region
For PIX1；The all pixels of THR1~THR2 are extracted as the second pixel region, are denoted as PIX2, extraction THR2~THR3's is all
Pixel is denoted as PIX3 as the 3rd pixel region.The gray value size in wherein this 3 regions is ordered as PIX1<PIX2<PIX3.
In order to simplify the operation of extraction informer's profile, it is assumed that PIX1=PIX2.Finally formed binaryzation eye gray-scale map such as Fig. 7 institutes
Show, Fig. 7 is a kind of binaryzation eye gray-scale map schematic diagram provided in an embodiment of the present invention.
Step 3, determine canthus point
In the binaryzation eye gray-scale map that Fig. 7 is obtained, using eyeball center as the center of circle, use straight line with angle a into
Row rotation, until 360 degree of rotations finish.When white pixel point (i.e. the pixel of the 3rd pixel region) is most on final straight line,
The point that the straight line has a common boundary with black and white (i.e. the second pixel region and the 3rd pixel region) is First view angle point and the second canthus point, is remembered
For T1 and T2；Similarly, when white pixel point is minimum, point that the straight line and black and white are had a common boundary is the 3rd canthus point and four eyed angle point,
It is denoted as T3 and T4；As shown in figure 8, Fig. 8 is a kind of eye angle point grid schematic diagram provided in an embodiment of the present invention.
Step 4, judge eye state
As shown in figure 9, Fig. 9 is a kind of canthus angle schematic diagram provided in an embodiment of the present invention.TI, T3, T2, T4 are connected,
The first canthus angle, the second canthus angle, the 3rd canthus angle and the 4th canthus angle are obtained, is denoted as b1, b2, b3, b4.According to
Eye state equation judges eye state.Eye state equation is as follows：
Wherein, offset0 and offset1 is error compensation, different according to the different error compensations of photographing device.When θ is got over
It is small, illustrate eyes closer to closure, otherwise θ is bigger, illustrates that the amplitude that eyes are opened is bigger.As θ=0, eyes close completely,
Due to individual difference, eyes, which open state, can define threshold decision.
To sum up, specific case used herein is set forth method provided by the invention, and above example is said
It is bright to be only intended to help the method and its core concept for understanding the present invention；Meanwhile for those of ordinary skill in the art, foundation
The thought of the present invention, there will be changes in specific embodiments and applications, to sum up, this specification content should not manage
Solve as limitation of the present invention, protection scope of the present invention should be subject to appended claim.
Claims (9)
- A kind of 1. glasses for preventing fatigue driving, it is characterised in that including：Camera arrangement, is arranged on the frame of the glasses, for shooting the eyes image of driver；Processor, is electrically connected the camera arrangement, for receiving and processing the eyes image to judge that the driver's is tired Labor degree；Warning device, is electrically connected the processor, for generating standby signal in the driver tired driving.
- 2. glasses as claimed in claim 1, it is characterised in that the camera arrangement is infrared camera, correspondingly, the eye Image is infrared eyes image.
- 3. glasses as claimed in claim 1, it is characterised in that further include first memory, the first memory is electrically connected The processor, for receiving and storing the first compares figure picture sent by Cloud Server.
- 4. glasses as claimed in claim 3, it is characterised in that the first compares figure picture is high in the clouds eyes image prototype, institute High in the clouds eyes image prototype is stated to gather multiple eyes images by big data and establish eyes image model to obtain.
- 5. glasses as claimed in claim 4, it is characterised in that the processor is used to handle eyes image, from described first The first compares figure picture is transferred in memory, processing is compared with the first compares figure picture in the eyes image, with Judge whether the driver is in fatigue driving state.
- 6. glasses as claimed in claim 1, it is characterised in that further include second memory, the second memory is electrically connected The processor, for storing the second compares figure picture.
- 7. glasses as claimed in claim 6, it is characterised in that it is former that the second compares figure picture includes localization eyes image Type, the localization eyes image prototype are pre- by being carried out to eyes image of the driver under non-fatigue driving state First model and obtain.
- 8. glasses as claimed in claim 7, it is characterised in that the processor is used to handle eyes image, by the eye Processing is compared with the localization eyes image prototype in image, to judge whether the driver is in fatigue driving shape State.
- 9. detecting system as claimed in claim 8, it is characterised in that the processor is specifically used for：The eyes image is extracted, binaryzation eye gray-scale map is formed according to the eyes image；Canthus point is determined according to the binaryzation eye gray-scale map；Eye state is determined according to the canthus point, to obtain the aperture size of the driver's eyes.
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| CN109620221A (en) * | 2018-10-16 | 2019-04-16 | 平安科技（深圳）有限公司 | Tired based reminding method, device, intelligent glasses and medium based on intelligent glasses |
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