CN107944406A - Automatic brightness-regulating system and method based on Eye states recognition technology - Google Patents
Automatic brightness-regulating system and method based on Eye states recognition technology Download PDFInfo
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- CN107944406A CN107944406A CN201711241555.5A CN201711241555A CN107944406A CN 107944406 A CN107944406 A CN 107944406A CN 201711241555 A CN201711241555 A CN 201711241555A CN 107944406 A CN107944406 A CN 107944406A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
- G06F3/1407—General aspects irrespective of display type, e.g. determination of decimal point position, display with fixed or driving decimal point, suppression of non-significant zeros
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
Abstract
The present invention relates to a kind of eye-protecting type display system (10) of automatic regulating lightness, including：Memory (101), detection device (102), processor (103), regulating device (104) and display device (105)；Wherein, the detection device (102), the processor (103), the regulating device (104) and the display device (105) are serial successively is electrically connected；The memory (101) is electrically connected to the processor (103).Display system provided by the invention, eye state automatic regulating lightness when can be used according to user, so that the eyes of user reach most comfortable state, so as to play the role of protect eyes.
Description
Technical field
The present invention relates to field of display devices, more particularly to a kind of automatic brightness adjustment system based on Eye states recognition technology
System and method.
Background technology
With the development of science and technology and human living standard raising, computer and television set become extremely common
Daily necessities or office appliance.
Long-time is using computer or sees TV, it is easy to causes eye fatigue, or even eyes can be made to be subject to repair
Multiple damage.Such issues that in order to solve, be configured with the computer display and television set that the prior art provides adjustable aobvious
Show the device of brightness, or to carry out automatic brightness adjustment by monitoring of environmental light intensity.No matter any technology, for eye
For eyeball, passive receiving is belonged to, i.e., be all human eye passively to adapt to its brightness no matter whether the brightness adjusted is optimal,
Therefore, the problem of still cannot reaching relieving eye strain.
The content of the invention
In order to solve the above technical problem, the present invention provides a kind of eye-protecting type display system 10 of automatic regulating lightness,
Including：
Display device (101)；
Memory (102), for storing eye state threshold value；
Image collecting device (103), for obtaining facial image；
Processor (104), for calculating eye state information according to the facial image and generating control instruction；
Adjuster (105), for adjusting the brightness of the display device (105) according to the control instruction；
Wherein, described image harvester (103), the processor (104), the adjuster (105) and the display
Device (101) is serial successively to be electrically connected；The memory (102) is electrically connected to the processor (104).
In one embodiment of the invention, the memory (102) is EPROM, is additionally operable to storage automatic regulating lightness
Software.
In one embodiment of the invention, described image harvester (103) is to be arranged at the display device (105)
The camera of the upper side frame center position of front end is external camera.
In one embodiment of the invention, the processor (104) is ARM chips or MCU chip.
In one embodiment of the invention, the adjuster (105) is current regulator.
In one embodiment of the invention, the display device (101) is television set or computer display.
In one embodiment of the invention, the display system 10 further includes restorer (106)；The restorer
(106) it is electrically connected with the memory (102), for removing the eye state threshold value of storage in the memory (102).
An alternative embodiment of the invention provides a kind of automatic brightness adjustment side based on Eye states recognition technology
Method, including：
(a) eye state information is obtained；
(b) control instruction is formed according to the eye state information；
(c) according to the brightness of the control instruction adjusting display device.
In one embodiment of the invention, before step (a), further include：
Set eye state threshold value.
In one embodiment of the invention, step (a) includes：
(a1) facial image is obtained；
(a2) area image of eyebrow and eyes in the facial image is identified respectively；
(a3) eye state is detected according to the distance of eyebrow and eyes in the area image.
Compared with prior art, the invention has the advantages that：
Automatic brightness-regulating system provided by the invention, can use eye state during electronic display unit according to user
Automatic regulating lightness, so that the eyes of user reach most comfortable state, so as to play the role of protect eyes.
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 knot of the automatic brightness-regulating system based on Eye states recognition technology provided in an embodiment of the present invention
Structure schematic diagram；
Fig. 2 is another automatic brightness-regulating system based on Eye states recognition technology provided in the embodiment of the present invention
Structure diagram；
Fig. 3 is a kind of automatic brightness adjustment method based on Eye states recognition technology provided in the embodiment of the present invention
Schematic diagram；
Fig. 4 is a kind of schematic diagram of eyes detection method in the embodiment of the present invention；
Fig. 5 is that the area image of eyebrow and eyes identifies schematic diagram in a kind of facial image provided in an embodiment of the present invention；
Fig. 6 is the coordinate sampled point schematic diagram of eyebrow and eyes in a kind of facial image provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts
Embodiment, belongs to the scope of protection of the invention.
The present invention is described in further details below in conjunction with the accompanying drawings.
Embodiment one
Fig. 1 is referred to, Fig. 1 is adjusted automatically for a kind of brightness based on Eye states recognition technology provided in an embodiment of the present invention
The structure diagram of section system.The system 10 includes：
Display device (101)；
Memory (102), for storing eye state threshold value；
Image collecting device (103), for obtaining facial image；
Processor (104), for calculating eye state information according to the facial image and generating control instruction；
Adjuster (105), for adjusting the brightness of the display device (105) according to the control instruction；
Wherein, described image harvester (103), the processor (104), the adjuster (105) and the display
Device (101) is serial successively to be electrically connected；The memory (102) is electrically connected to the processor (104).
Further, on the basis of above-described embodiment, the memory (102) is EPROM, is additionally operable to store automatic tune
Save brightness software.
Further, on the basis of above-described embodiment, described image harvester (103) fills to be arranged at the display
Put the camera of the upper side frame center position of (105) front end or be external camera.
Further, on the basis of above-described embodiment, the processor (104) is ARM chips or MCU chip.
Further, on the basis of above-described embodiment, the adjuster (105) is current regulator.
Further, on the basis of above-described embodiment, the display device (101) is television set.
Further, on the basis of above-described embodiment, the display system 10 further includes restorer (106)；It is described multiple
Position device (106) is electrically connected with the memory (102), for removing the eye state of storage in the memory (102)
Threshold value.
The display system provided in the present embodiment, by increasing eyes detection and brightness automatic regulation function, so that
The eyes of user reach most comfortable state, so as to play the role of protect eyes.
Embodiment two
Fig. 2 is referred to, Fig. 2 is automatic for another brightness based on Eye states recognition technology provided in an embodiment of the present invention
The structure diagram of regulating system.The present embodiment is on the basis of embodiment one, and display device (101) is changed to television set,
In addition it also add restorer 106；Wherein, the restorer 106 is electrically connected with the memory 102, for removing described deposit
The eye state threshold value stored in reservoir 102；Other structures are identical with embodiment one, and which is not described herein again.
Embodiment three
Fig. 3 is referred to, Fig. 3 is that a kind of brightness based on Eye states recognition technology provided in the embodiment of the present invention is automatic
The schematic diagram of adjusting method.The present embodiment is illustrated so that display device 105 is television set as an example.The television set upper side frame center
Camera can be provided with position, or has the camera of peripheral hardware at television set, the position of the camera can collect
The facial image of user.Wherein, for example, EPROM of memory 102, for example, camera of image collecting device 103, processor
104 be ARM chips, it can control automatic regulating lightness software, which is stored in EPROM.Regulating device 105
Such as it is current regulator, it can control the size of current of driving television set to realize the brilliance control to television set.
Specifically, which may include steps of：
Step 1, obtain eye state information；
Step 2, the status information and the eye state threshold value, form control instruction；
Step 3, the brightness according to the control instruction adjusting television set.
Wherein, before step 1, including set eye state threshold value (the eye state threshold value is that eyes are in normal
Parameter during state, is denoted as θThreshold value), i.e., automatic regulating lightness software needs to set eye state threshold value in software, which can
Obtained in a manner of by big data, can also be by user's Initialize installation.Illustrated by taking user's Initialize installation as an example.
ARM chip controls automatic regulating lightness software starts, and after software program operation, control camera starts collection facial image shape
State, at this time software can prompt user carry out eye state initialization, user keeps eyes to be in normal condition, and is in head
The posture of normal use computer, at this time user can click on the initialization button in software, software controls after receiving instruction
Camera gathers current face image, gets eye state data by analysis, after collection is repeated several times, obtains eye state
The eye state threshold value is used as after average.Wherein,
In step 1, eye state information is the eye-shaped obtained according to the associated information calculation of eyes in facial image
State real-time parameter, is denoted as θ.For how to obtain eye state information, can be situated between in detail in example IV and embodiment five
Continue, do not repeating herein.
In step 2, after θ is calculated according to facial image in ARM chips, the θ of storage in a hard disk is readThreshold value, by two
Person is compared, and forms control instruction；Wherein, in certain time for example in 2~5s, if the θ and θThreshold valueRatio be less than
95%, then the first control instruction is formed, specially presses (1- θ/θThreshold value) ratio reduce the driving electricity of the liquid crystal display systems
Stream；If the θ and θThreshold valueRatio be more than 105%, then form the second control instruction, specially press (θ/θThreshold value- 1) ratio
Raise the driving current of the liquid crystal display systems.
In step 3, current regulating circuit receives and performs the control instruction of ARM chips transmission, is specially：It is if electric
It is the first control instruction that stream, which adjusts circuit and receives the instruction that CPU is sent, then presses (1- θ/θThreshold value) ratio reduce the liquid crystal
Show the driving current of system, so that the brightness of the liquid crystal display systems reduces according to a certain percentage；If current regulating circuit connects
The instruction for receiving CPU transmissions is the second control instruction, then presses (θ/θThreshold value- 1) ratio raises the driving of the liquid crystal display systems
Electric current, so that the brightness of the liquid crystal display systems raises according to a certain percentage.
Example IV
Fig. 3 is referred to, Fig. 3 is a kind of schematic diagram of eyes detection method provided in an embodiment of the present invention.This implementation
For example on the basis of embodiment one, the eyes detection method performed by processor is described in detail in emphasis.
The eyes detection method includes the following steps：
Step 1, obtain facial image；
Step 2, identify the area image of eyebrow and eyes in the facial image respectively；
Step 3, according in the area image distance of eyebrow and eyes detect eye state.
Wherein, after step 1, can also include：
Gray processing processing is carried out to the facial image；
Median filter process is carried out to the facial image after gray processing；
Histogram equalization processing is carried out to the facial image after median filter process.
Wherein, be that facial image is obtained by image collecting device for step 1, and by the facial image send to
Processor.
Wherein, for step 2, can include：
Sciagraphy is used to the facial image, eyebrow described in coarse positioning and the eyes are where in the facial image
First area；
Template matching method is used to the first area, is accurately positioned the eyebrow and the eyes in the facial image
The second area at middle place is to complete the identification to the area image.
Wherein, for step 3, can include：
The eyebrow is calculated to first relative distance at the upper eyelid edge of the eyes；
The eyebrow is calculated to second relative distance at the lower eyelid edge of the eyes；
Calculate the upper eyelid edge of the eyes and the absolute distance at lower eyelid edge；
Eye state is detected according to first relative distance, second relative distance and the absolute distance.
Wherein, can be with for calculating the eyebrow in step 3 to first relative distance at the upper eyelid edge of the eyes
Including：
Appointing in the brow region, takes X point, obtains the eyebrow coordinate average value of X point；
N number of point is chosen at the upper eyelid edge of the eye areas, counts the upper eyelid coordinate average value of N number of point respectively；
First relative distance is determined according to the eyebrow coordinate average value and the upper eyelid coordinate average value.
Wherein, can be with for calculating the eyebrow in step 3 to second relative distance at the lower eyelid edge of the eyes
Including：
N number of point is chosen at the lower eyelid edge of the eye areas, counts the lower eyelid coordinate average value of N number of point respectively；
Second relative distance is determined according to the eyebrow coordinate average value and the lower eyelid coordinate average value.
Wherein, for calculating the upper eyelid edge of the eyes and the absolute distance at lower eyelid edge in step 3, can wrap
Include：
M point is respectively taken at the upper eyelid edge and lower eyelid edge, calculates the M point at the upper eyelid edge respectively
Second average value of the M point at the first average value and the lower eyelid edge；
According to absolute distance described in first average value and second mean value calculation.
Wherein, for being examined in step 3 according to first relative distance, second relative distance and the absolute distance
Eye state is surveyed, can be included：
Error compensation is carried out according to first relative distance, second relative distance and the absolute distance, is determined
Eye state formula, judges eye state by calculating the eye state formula.
Further, the eye state formula is：
Wherein, T1For second relative distance, T2For the absolute distance, T3For first relative distance,
OFFSET1And OFFSET2To gather the error compensation of the facial image.
Further, the error compensation is by manually setting.
Embodiment five
The present embodiment is that eyes detection method is further described on the basis of example IV.
Specifically, the eyes detection method includes：
Step 1, detection device obtain facial image.
, it is necessary to first start eyes detection software by the processor before step 1 is performed, after which starts, control
Detection device processed gathers the facial image of user in real time.
Step 2, processor pre-process facial image.
After the face image of user is collected by detection device, the face image is sent to processing by detection device
Device, controls the software program to carry out image preprocessing by processor.Specifically include the following steps：
(21) gray processing processing is carried out to facial image
Image gray processing is exactly the process for making the RGB component value of colour equal.Since the value range of RGB is 0~255,
So the rank of gray scale is 256 grades, i.e. gray level image can show 256 kinds of colors.
Gray scale stretching, that is, the method for using mapping, the histogram compressed originally will be carried out after the processing of facial image gray processing
Separate, that is, gray scale stretching, the facial image become apparent from.
(22) median filter process is carried out to facial image
Median filtering method is a kind of nonlinear image smoothing method, and each pixel grey scale in a sliding window is arranged
Sequence, the original gray scale of window center pixel is replaced with its intermediate value, if there is even number pixel in window, takes the flat of two medians
.
(23) histogram equalization processing is carried out to facial image
If f (i, j), g (i, j) i=1,2 ... M；J=1,2 ... N, are respectively the face figure after protoplast's face image and processing
Picture, the gray processing scope of facial image is [0,255], and histogram equalization method is specific as follows：
(231) artwork [f (i, j)] is soughtM×NGrey level histogram, if with 256 dimension vectorial hfRepresent；
(232) by hfThe intensity profile probability of protoplast's face image is sought, is denoted as pf, then
Wherein, NF=M × NM, N are respectively the length and width of image) be image total number of pixels；
(233) the cumulative distribution probability of each gray value of facial image is calculated, is denoted as pa, then have
Wherein, p is madea(0)=0.
(231) carry out histogram equalization calculating, the pixel value of image to after handling be：
G (i, j)=255pa(k) 3
(24) processor carries out binary conversion treatment to facial image
Using maximum between-cluster variance thresholding method to facial image binaryzation.
Step 3, processor determine the feature of eyes and eyebrow in facial image, position the region of eyes and eyebrow；
Fig. 4 is referred to, Fig. 4 is that the area image of eyebrow and eyes is known in a kind of facial image provided in an embodiment of the present invention
Other schematic diagram.
Facial image is narrowed down to the area of the zonule of only eyebrow and eyes, coarse positioning eyebrow and eyes using sciagraphy
Domain.
Denoising and enhancing processing are carried out to the area image of eyebrow and eyes.It is distributed from vertical direction, eyes are in eyebrow
In the following, searching for from top to bottom, the region of eyebrow can be oriented.
The region of eyes is accurately positioned using template matching method.
Traditional template matching method, is matched that not only operand is big but also disturbing factor is more in entire image.This hair
Because coarse localization goes out the region of eyes in bright, and without the influence of the organs such as nose, mouth, so continuous to image
Making horizontal and vertical projection takes its intersection point to be positioned as position of human eye, improves accuracy rate.
Step 4- steps 6 refer to Fig. 5, and Fig. 5 is eyebrow and eyes in a kind of facial image provided in an embodiment of the present invention
Coordinate sampled point schematic diagram.
Step 4, processor calculate the first relative distance.
Appoint in brow region and take X point, obtain the eyebrow coordinate average value of X point；
N number of point is chosen at the upper eyelid edge of eye areas, counts the upper eyelid coordinate average value of N number of point respectively；
Eyebrow coordinate average value is subtracted upper eyelid coordinate and is averagely worth to the first relative distance by root.
Step 5, processor calculate the second relative distance
N number of point is chosen at the lower eyelid edge of eye areas, counts the lower eyelid coordinate average value of N number of point respectively；
Eyebrow coordinate average value is subtracted into lower eyelid coordinate and is averagely worth to the second relative distance.
Step 6, processor calculate absolute distance
M point is respectively taken at upper eyelid edge and lower eyelid edge；
The second average value of the first average value of the M point at upper eyelid edge and the M point at lower eyelid edge is calculated respectively；
First average value is subtracted second and is averagely worth to absolute distance.
Step 7, processor judge eye state
Eye state formula is as follows：
Wherein, T1For the second relative distance, T2For absolute distance, T3For the first relative distance, OFFSET1And OFFSET2For
The error compensation of facial image is gathered, error compensation is since the difference of machine is, it is necessary to manually set.
By the first relative distance obtained in step 4-6, the second relative distance, absolute distance and error set in advance
Compensation substitutes into eye state formula the value for obtaining θ.
When θ is smaller, closer to 0, illustrate that eyes more close, ideally, the theoretical minimum value of θ is 0；
Otherwise θ is bigger, closer to 1, illustrate that eyes are more opened.
Due to individual difference, the θ values that eyes are opened vary with each individual, and therefore, can be opened according to different individuals in its eye
θ values when opening and being in most relaxation state are denoted as θ as eye state threshold valueThreshold value。
And then the processor 104 calculates corresponding θ values and and θ according to real-time face imageThreshold valueIt is compared and gives birth to
Into control instruction；Wherein, if within certain time (such as 2~5s), the θ and θThreshold valueRatio be less than 95%, then formed
First control instruction, specially presses (1- θ/θThreshold value) ratio reduce the driving current of the display device 101；If in a timing
Between (such as 2~5s) in, the θ and θThreshold valueRatio be more than 105%, then form the second control instruction, specially by (θ/
θThreshold value- 1) ratio raises the driving current of the display device 101.
The regulating device 105 receives and performs the control instruction that the processor 104 is sent, and is specially：If electric current tune
It is the first control instruction that economize on electricity road, which receives the instruction that the processor 104 is sent, then presses (1- θ/θThreshold value) ratio reduce described in
The driving current of display device 101, so that the brightness of the display device 101 reduces according to a certain percentage；If regulating device 105
It is the second control instruction to receive the instruction that the processor 104 is sent, then presses (θ/θThreshold value- 1) the ratio rise display dress
101 driving current is put, so that the brightness of the display device 101 raises according to a certain percentage.
In conclusion specific case used herein is set forth the structure and embodiment of the present invention, the above
The explanation of embodiment is only intended to help the method and its core concept for understanding the present invention；Meanwhile for the general skill of this area
Art personnel, according to the thought of the present invention, there will be changes in specific embodiments and applications, to sum up, this explanation
Book content should not be construed as limiting the invention, and protection scope of the present invention should be subject to appended claim.
Claims (10)
1. a kind of automatic brightness-regulating system (10) based on Eye states recognition technology, including：
Display device (101)；
Memory (102), for storing eye state threshold value；
Image collecting device (103), for obtaining facial image；
Processor (104), for calculating eye state information according to the facial image and generating control instruction；
Adjuster (105), for adjusting the brightness of the display device (105) according to the control instruction；
Wherein, described image harvester (103), the processor (104), the adjuster (105) and the display device
(101) it is serial successively to be electrically connected；The memory (102) is electrically connected to the processor (104).
2. system according to claim 1 (10), it is characterised in that the memory (102) is EPROM, for storing
Automatic regulating lightness software.
3. system according to claim 1 (10), it is characterised in that described image harvester (103) is is arranged at
State the camera of the upper side frame center position of display device (105) front end.
4. the system according to Claims 2 or 3, it is characterised in that the processor (104) is ARM chips or MCU core
Piece.
5. system (10) according to claim 4, it is characterised in that the adjuster (105) is current regulator.
6. system according to claim 1 (10), it is characterised in that the display device (101) is television set or meter
Calculation machine display.
7. system according to claim 1 (10), it is characterised in that further include restorer (106)；The restorer
(106) it is electrically connected with the memory (102), for removing the eye state threshold value of storage in the memory (102).
A kind of 8. automatic brightness adjustment method based on Eye states recognition technology, it is characterised in that including：
(a) eye state information is obtained；
(b) control instruction is formed according to the eye state information；
(c) according to the brightness of the control instruction adjusting display device.
9. according to the method described in claim 8, it is characterized in that, before step (a), further include：
Set eye state threshold value.
10. according to the method described in claim 8, it is characterized in that, step (a) includes：
(a1) facial image is obtained；
(a2) area image of eyebrow and eyes in the facial image is identified respectively；
(a3) eye state is detected according to the distance of eyebrow and eyes in the area image.
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| CN108647001A (en) * | 2018-05-21 | 2018-10-12 | 云谷（固安）科技有限公司 | A kind of display methods and device of protection eyesight |
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