CN105303772A - Drowsiness reminding device - Google Patents
Drowsiness reminding device Download PDFInfo
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- CN105303772A CN105303772A CN201510595557.9A CN201510595557A CN105303772A CN 105303772 A CN105303772 A CN 105303772A CN 201510595557 A CN201510595557 A CN 201510595557A CN 105303772 A CN105303772 A CN 105303772A
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- image
- driver
- processing unit
- eyes
- sleepy
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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
-
- 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
Abstract
The invention discloses a drowsiness reminding device which comprises a photographic unit, a processing unit, an output unit and a storage unit which stores a drowsiness reminding program. When the processing unit loads and executes the drowsiness reminding program, the drowsiness reminding program enables the processing unit to carry out the steps that a number of continuous images produced by the photographic unit are received; image analysis is carried out on each image; according to an analysis result, whether a driver falls asleep is determined; if the driver falls asleep, the output unit is driven to generate reminding information. According to image analysis, the degree of curvature of an upper eyelid in each image is analyzed.
Description
The application is the applying date is on September 24th, 2012, and application number is 201210357934.1, and denomination of invention is the divisional application of the patented claim of " sleepy alarm set "
Technical field
The present invention relates to a kind of sleepy alarm set using image processing technique, particularly relate to upper eyelid degree of crook in analysis one continuous image to judge the technology of eyes open and-shut mode.
Background technology
Based on the safety in driving, existing multiple sleepy alarm set comes out at present, and this device can detect the eye state of a driver to judge whether it dozes off, and gives the alarm when judging that this driver dozes off, to wake this driver up.The technical scheme that existing sleepy alarm set is taked is various, such as TaiWan, China 436436, M416161, I349214, the Patent Cases such as Patent Case and CN101196993 such as 201140511.Whether these Patent Cases mention the frequency of wink of detection one driver or closed-eye time more than a threshold value, once exceed, just judge that this driver dozes off, and give the alarm.In order to the eye state of this driver will be detected, normally take the photograph machine module to take the face of this driver with one, and carry out with a processing unit (CPU) image that processing screened arrives, the focusing on fast and correctly find out the region at eyes place in image of process, and detect the eyes being arranged in this region, to judge that it is closed one's eyes or widens the view.
Existing eye detecting device disclosed in CN101196993 case, can find naris position, and set an eyes Search Area according to naris position, then in this eyes Search Area, find upper and lower eyelid from an image of face.Then, the pixel count of the part clamped by this upper and lower eyelid, judges to widen the view or close one's eyes.The problem of this way is, need to find out the judgement that upper and lower eyelid just can carry out widening the view or closing one's eyes, this can spend many processing times, causes it to remind slowing of driver.
Summary of the invention
The invention provides a kind of sleepy alarm set, it needs from an image, find out upper eyelid just can make the judgement of widening the view or closing one's eyes according to this, thus can remind fast when a driver dozes off.
In more detail, sleepy alarm set of the present invention comprises a storage element, one camera unit, one processing unit and an output unit, described storage element stores a sleepy reminder, described camera unit is for taking the face of a driver to produce multiple continuous images, described processing unit is electrically connected described camera unit, described storage element and described output unit, and when described processing unit is loaded into and performs described sleepy reminder, described sleepy reminder makes described processing unit perform following steps: receive the described image that described camera unit produces, one image analysing computer step is performed to each image, it comprises take out an eye image from analyzed image, process described eye image to obtain a upper eyelid figure, draw a Throwing thing line graph along described upper eyelid figure, and go out the focal length of described Throwing thing line graph with Throwing thing line formulae discovery, check the focal length of the para-curve figure of the upper eyelid figure that multiple continuous images of described driver obtain, if described focal length, when being progressively incremented to infinity from certain numerical value, namely judges that the eyes of described driver are closed, if and described focal length is when being progressively decremented to certain numerical value from certain numerical value, namely judge that the eyes of described driver open, according to the eye state that the described image of analysis obtains, perform a determining step, judge whether described driver falls asleep, and when judged result is for being, orders about described output unit and producing a prompting message.
Preferably, in the present invention, by performing following steps, described processing unit judges whether described driver falls asleep: in the image of predetermined number, continuing to exceed the analyzed result out of image that n opens if having is all close one's eyes, or the eye closing frequency of occurrences is more than a threshold value, namely judge that this driver enters doze state.
Relative to prior art, in the above-mentioned eye image obtained by the present invention or above-mentioned rectangle frame, not only containing eyes, and all also little than the Eye detection district mentioned in prior art.In addition, take time the palpebra inferior analyzed in image in the upper eyelid in the present invention's Water demand image and not needing.
As for other summary of the invention of the present invention and more detailed technology and function declaration, explanation subsequently will be exposed in.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a application's part, does not form limitation of the invention.In the accompanying drawings:
Fig. 1 shows the system block diagrams of a preferred embodiment of sleepy alarm set of the present invention.
Fig. 2 to Fig. 3 shows the execution flow process of the processing unit in this preferred embodiment.
The schematic diagram display of Fig. 4 is via the upper eyelid figure obtained handled by the processing unit in this preferred embodiment.
The thin portion of the processing unit that Fig. 5 shows in this preferred embodiment performs flow process.
Fig. 6 shows the schematic diagram of the image 6 taken by the camera unit in this preferred embodiment.
Drawing reference numeral:
1 storage element 2 camera unit
10 sleepy reminder
3 processing unit 4 output units
5 input blocks
6 image 60 reference points
600 image of face 601 nostril central points
61 eye images
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with accompanying drawing, the embodiment of the present invention is described in further details.At this, schematic description and description of the present invention is for explaining the present invention, but not as a limitation of the invention.
A preferred embodiment of the calcspar display sleepy alarm set of the present invention of Fig. 1, it comprises storage element 1, camera unit 2, processing unit 3, is electrically connected output unit 4 and an input block 5 (can be made up of multiple button) of this processing unit 3.This storage element 1 is made up of one or more accessible non-volatility memorizer, and stores a sleepy reminder 10.This camera unit 2 for taking the face of a driver, to produce multiple continuous print images and it to be temporary in this storage element 1.
This camera unit 2 is preferably the camera lens (not shown) possessing adjustment direction and angle rotationally, this camera lens to be adjusted to the state of looking up at this driver face, such as, makes this camera lens with the angle at 45 degree, the elevation angle towards this driver face.So, the nostril in each image taken by this camera unit 2 all can be clearly shown out, this means that the nostril identification of each image of face will be contributed to the execution of nostril searching procedure described subsequently by significantly promoting.Usually, this camera unit 2 also has an illumination component, in order to the in good time light filling when insufficient light, to guarantee the sharpness of those image of face taken by it.
This processing unit 3 is electrically connected this camera unit 2, this storage element 1 and this output unit 4, and at least comprises a central processing unit (CPU, not shown in the figures) and a random access memory (RAM, not shown in the figures).When this processing unit 3 is loaded into and performs this sleepy reminder 10, this sleepy reminder 10 makes this processing unit 3 perform following a to Step d, as shown in Figure 2:
A) continuous image of this camera unit 2 corresponding generation when the face of shooting one driver is received;
B) an image analysing computer step is performed to each image;
C) according to analysis result, a determining step is performed, for judging whether this driver falls asleep; And
D) when judged result is for being, ordering about this output unit 4 and producing a prompting message.Such as, when this output unit 4 has a loudspeaker, namely this prompting message is the alarming sound sent by this loudspeaker.This output unit 4 also has a display (such as touch control screen) usually, in order to show this prompting message or other relevant information (such as with for setting operation human-machine operation interface).
In the present invention, as shown in Figure 3, it comprises the image analysing computer step described in this b step:
B1) from analyzed image, an eye image is taken out;
B2) this eye image is processed to obtain a upper eyelid figure;
B3) degree of crook of this upper eyelid figure is detected; And
B4) according to testing result, corresponding generation one eyes status data.
In this b1 step, this eye image is through using the schematic diagram shown in Fig. 4 to represent with the upper eyelid figure obtained after an image processing technique process (such as horizontal linearize process).Wherein: it is an eye image 61 presenting the state of opening one's eyes that Fig. 4 (A) shows this eye image, and display upper eyelid Figure 61 a out handled by this eye image 61, and roughly can draw a para-curve figure 610a along this upper eyelid Figure 61 a, the focal length (distance between summit V and focal point F) of this Throwing thing line graph 610a can be calculated with parabola formula.It is an eye image 61 presenting state of partly opening one's eyes that Fig. 4 (B) shows this eye image, and display upper eyelid Figure 61 b out handled by it, and roughly can draw another para-curve figure 610b along this upper eyelid Figure 61 b, the focal length of this another Throwing thing line graph 610b calculated with parabolic formula is greater than the focal length of this Throwing thing line graph 610a.It is an eye image 61 presenting closed-eye state that Fig. 4 (C) shows this eye image, and display upper eyelid Figure 61 c out handled by it, and can roughly draw a rectilinear figure along this upper eyelid Figure 61 c, the focal length of this rectilinear figure calculated with parabolic formula is infinitely great.
From the upper eyelid figure shown by Fig. 4, the degree of crook in the upper eyelid of the eyes of the mankind, can be different according to the degree of closing of its eyes.According to inductive statistics result, the eyes of the mankind are when opening, and the degree of crook in its upper eyelid can a larger and similar para-curve figure, and the eyes of the mankind are when closing, and the degree of crook in its upper eyelid can an obvious very little and similar rectilinear figure.According to this phenomenon, this processing unit 3 can calculate the focal length of each upper eyelid figure in portion's image 61 that opens one's eyes according to parabolic formula.Different focal lengths represents the upper eyelid of differently curved degree, and the upper eyelid of differently curved degree then represents different the opening of eyes and closes state.When the inspection of this processing unit 3 finds that it processes the focal length obtained corresponding to multiple continuous images, when being progressively incremented to infinity from certain numerical value, namely judge that the eyes of this driver be ingested in those images are closed, and therefore produce the eye state data " 1 " representing and close one's eyes.And when the inspection of this processing unit 3 finds that it processes the focal length obtained corresponding to multiple continuous images, when being progressively decremented to certain numerical value from infinity, namely judge that the eyes of the driver be ingested in those images open, and therefore produce the eye state data " 0 " representing and open one's eyes.
Know from above-mentioned explanation, this camera unit 2 takes face's one section of Preset Time of this driver and the corresponding continuous image produced, its each image institute after above-mentioned image analysing computer step obtain analysis result be exactly open for representing, the eye state data of closed-eye state, that is, in each image, shown eye state all can be out analyzed, then, just can perform for judging the determining step whether this driver falls asleep according to the analysis result of each image.Such as, in the image of predetermined number, have that to continue to exceed the analyzed result out of image that n opens be all " 1 " (its corresponding this driver of expression closes one's eyes and exceedes a period of time), or the frequency of occurrences of " 1 " is more than a threshold value (its corresponding frequency representing that this driver opens one's eyes and closes one's eyes is too high), now this processing unit 3 can judge that this driver enters doze state, and thus orders about this output unit 4 and produce this prompting message.
A way whether driver dozes off could be judged relative to the upper and lower eyelid in prior art Water demand image, the present invention only needs to analyze corresponding upper eyelid from image, just can judge that whether a driver is doze according to this, thus make the present invention have the advantage of the driver that quick prompting is being dozed off.
Please refer to Fig. 5, Fig. 6, in the present invention, be preferably about above-mentioned b1 step of taking out an eye image from an image step comprising following b11 ~ b16:
B11) image of face 600 is taken out from this image 6.The content of this image 6 not only comprises the face of this driver, also comprises a part to be removed, and this part to be removed comprises the behind scene of the hair of this driver, neck and this driver.In this step, the object of taking out this image of face is reached by Adaboost algorithm and some existing image processing techniques.Ideally, should most ground or fully get rid of above-mentioned part to be removed in the image of face 600 taken out.
B12) two nostril central points 601 in this image of face 600 are found out.About the practice finding out this two nostril in an image of face, have in the prior art and touch upon, hold and do not repeat.Region (i.e. nostril region) occupied by each nostril in this image of face 600 can be obviously more black relative to other region, roughly can get the longest transverse axis of each nostril region and the point of crossing of the longest longitudinal axis, as the central point in each nostril.
B13) calculate the space D between this two nostrils central point 601 and determine that one starts at point coordinate A (x1, y1).This location point position intermediate point between this two nostrils central point representated by Fixed Initial Point coordinate A (x1, y1).
B14) according to this space D and this Fixed Initial Point coordinate A (x1, y1), reference point coordinate B (x2, y2) is calculated.Wherein, x2=x1+k1 × D, y2=y1+k2 × D, k1=1.6 ~ 1.8, k2=1.6 ~ 1.8, and be preferably k1=k2.According to the result of actual verification, via the point representated by aforementioned this calculated reference point coordinate B (x2, y2), just to drop on or very close to the central point of the eye of in this image of face.If needed, in this step, according to this space D and this Fixed Initial Point coordinate A (x1, y1), another reference point coordinate C (x3, y3) can also be calculated, wherein, x3=x1-k1 × D, y3=y1+k2 × D.
B15) in this image of face 600, a rectangle frame R1 is defined according to this reference point coordinate B (x2, y2).This reference point coordinate B (x2, y2) location point representated by is the central point of this rectangle frame R1, the vertical direction width w2=15 ~ 29pixel of the horizontal direction width w1=30 ~ 50pixel of this rectangle frame R1, this rectangle frame R1, and w1>w2.Be preferably w1=40pixel, w2=25pixel.If needed, in this step, can also define according to this reference point coordinate C (x3, y3) another rectangle frame R2 that size is same as this rectangle frame R1 in this image of face 600.This location point representated by reference point coordinate C (x3, y3) is the central point of this rectangle frame R2.
B16) from this rectangle frame R1 around scope take out above-mentioned eye image 61, refer to Fig. 4.If needed, in this step, another eye image 61 can also be taken out according to from another rectangle frame R2 from this image of face 600.
According to the result of actual verification, via f step the rectangle frame R1 that defines out, can just be centered around around eyes in this image of face 600, the eyebrow be positioned at directly over these eyes can not be positioned at this rectangle frame (or only having few part can be positioned at this rectangle frame), and the cheekbone be positioned at immediately below these eyes also can not be positioned at this rectangle frame (or only having few part can be positioned at this rectangle frame), another rectangle frame R2 is also like this.This means, in g step, the content of arbitrary eye image of gained all can comprise eyes, and this arbitrary eye image is all little than the Eye detection district mentioned in prior art.
According to the explanation of above-mentioned a to f step, this processing unit 3 is actually at execution one eyes method for searching, and the method comprises:
Two nostril central points are found out from an image of face;
Calculate space D and the position intermediate point between this two nostrils central point between this two nostrils central point;
Determine a reference point, the horizontal range of this reference point and this intermediate point and vertical range are k1 × D, k2 × D respectively, and k1=1.6 ~ 1.8, k2=1.6 ~ 1.8, are preferably k1=k2; And
In this image of face, a rectangle frame is defined, the horizontal direction width w1=30 ~ 50pixel of this rectangle frame, the vertical direction width w2=15 ~ 29pixel of this rectangle frame, and w1>w2 centered by this reference point.Be preferably w1=40pixel, w2=25pixel.This rectangle frame just can surround the eyes in this image of face, and this expression can make this processing unit 3 find eyes from an image of face by said method of the present invention really.
Need attach one carry be, the data that this processing unit 3 is required in the process performing above-mentioned steps or the data (such as this image of face, eye image) produced, be stored in this storage element 1, those data are the storage of temporality or permanent storage, then determine depending on actual execution demand.
Relative to prior art, in the above-mentioned eye image obtained by the present invention or above-mentioned rectangle frame, not only containing eyes, and it is all also little than the Eye detection district mentioned in prior art, the search area of this processing unit 3 is diminished relatively and than being easier to and finding a certain position of eyes rapidly, upper eyelid as escribed above.
Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; the protection domain be not intended to limit the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (2)
1. a sleepy alarm set, it is characterized in that, comprise a storage element, a camera unit, a processing unit and an output unit, described storage element stores a sleepy reminder, described camera unit is for taking the face of a driver to produce multiple continuous images, described processing unit is electrically connected described camera unit, described storage element and described output unit, and when described processing unit is loaded into and performs described sleepy reminder, described sleepy reminder makes described processing unit perform following steps:
Receive the described image that described camera unit produces;
One image analysing computer step is performed to each image, it comprises take out an eye image from analyzed image, process described eye image to obtain a upper eyelid figure, draw a Throwing thing line graph along described upper eyelid figure, and go out the focal length of described Throwing thing line graph with Throwing thing line formulae discovery;
Check the focal length of the para-curve figure of the upper eyelid figure that multiple continuous images of described driver obtain, if described focal length, when being progressively incremented to infinity from certain numerical value, namely judges that the eyes of described driver are closed; And if described focal length is when being progressively decremented to certain numerical value from certain numerical value, namely judge that the eyes of described driver open;
According to the eye state that the described image of analysis obtains, perform a determining step, judge whether described driver falls asleep; And
When judged result is for being, orders about described output unit and producing a prompting message.
2. sleepy alarm set as claimed in claim 1, is characterized in that, by performing following steps, described processing unit judges whether described driver falls asleep:
In the image of predetermined number, continuing to exceed the analyzed result out of image that n opens if having is all close one's eyes, or the eye closing frequency of occurrences is more than a threshold value, namely judges that this driver enters doze state.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210357934.1A CN103680064B (en) | 2012-09-24 | 2012-09-24 | Sleepy system for prompting |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210357934.1A Division CN103680064B (en) | 2012-09-24 | 2012-09-24 | Sleepy system for prompting |
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| CN105303772A true CN105303772A (en) | 2016-02-03 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510595557.9A Pending CN105303772A (en) | 2012-09-24 | 2012-09-24 | Drowsiness reminding device |
| CN201210357934.1A Active CN103680064B (en) | 2012-09-24 | 2012-09-24 | Sleepy system for prompting |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210357934.1A Active CN103680064B (en) | 2012-09-24 | 2012-09-24 | Sleepy system for prompting |
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201545130A (en) * | 2014-05-30 | 2015-12-01 | Utechzone Co Ltd | Reminding method for guard and reminding apparatus, reminding system and computer program product thereof |
| TWI603293B (en) * | 2014-10-13 | 2017-10-21 | 由田新技股份有限公司 | Method and apparatus for detecting blink |
| CN110263749A (en) * | 2015-07-14 | 2019-09-20 | 原相科技股份有限公司 | Eye state method for detecting and eye state detecting system |
| WO2017034860A1 (en) * | 2015-08-21 | 2017-03-02 | Magic Leap, Inc. | Eyelid shape estimation using eye pose measurement |
| CA3170014A1 (en) | 2015-10-16 | 2017-04-20 | Magic Leap, Inc. | Eye pose identification using eye features |
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| JP3422183B2 (en) * | 1996-08-22 | 2003-06-30 | トヨタ自動車株式会社 | Eye detection method for face images |
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- 2012-09-24 CN CN201210357934.1A patent/CN103680064B/en active Active
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| JP2001307076A (en) * | 2000-04-24 | 2001-11-02 | Niles Parts Co Ltd | Eye state detector and nap detector |
| CN101196993A (en) * | 2006-12-06 | 2008-06-11 | 爱信精机株式会社 | Device, method and program for detecting eye |
| CN101375796A (en) * | 2008-09-18 | 2009-03-04 | 浙江工业大学 | Real-time detection system of fatigue driving |
| CN101692980A (en) * | 2009-10-30 | 2010-04-14 | 吴泽俊 | Method for detecting fatigue driving |
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| CN103680064A (en) | 2014-03-26 |
| CN103680064B (en) | 2016-08-03 |
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