CN101057736A - Cradle device and method for using image recognition technology to control swinging state of cradle - Google Patents
Cradle device and method for using image recognition technology to control swinging state of cradle Download PDFInfo
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- CN101057736A CN101057736A CN 200610075286 CN200610075286A CN101057736A CN 101057736 A CN101057736 A CN 101057736A CN 200610075286 CN200610075286 CN 200610075286 CN 200610075286 A CN200610075286 A CN 200610075286A CN 101057736 A CN101057736 A CN 101057736A
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Abstract
The invention relates to a cradle device, comprising one cradle, one image acquisition module, which is used to capture one image data, one image identification module, which is used to identify captured image data, one cradle driving module, which is used to drive the cradle swinging motion, and one controlling module, coupled with said image identification module and said cradle driving module, and it is used to control cradle driving module based on image data.
Description
Technical field
The present invention relates to a kind of cradle device and method thereof of utilizing image recognition technology to control the cradle swinging condition, particularly a kind of image recognition technology of utilizing judges whether the baby enters cradle device and the method thereof of sleep state with control cradle swinging condition.
Background technology
In general, be with baby's people that such experience is all arranged, when will sleeping, the baby baby can be put into cradle exactly, and swagger basket in manual mode, to allow baby's ratio be easier to fall asleep, and in swaggering the process of basket, must note baby's sleeping situation at any time, for example enter when sleeping soundly state as the baby, just can stop to shake cradle, in the middle of being sunk into sleep, get a fright because cradle rocks to avoid the baby, or the baby also needs the adult to continue to shake cradle can get used to sleeping soundly the time, and cause big people's white elephant, especially in the dead of night the time, need to shake on the cradle side in person cradle, especially inconvenience considerably.
Summary of the invention
The invention provides a kind of image recognition technology of utilizing and judge whether the baby enters cradle device and the method thereof of sleep state with control cradle swinging condition, to solve the above problems.
The present invention discloses a kind of cradle device that utilizes image recognition technology to control the cradle swinging condition, it includes a cradle, one capturing images module, be used for capturing a view data, one picture recognition module, be used for discerning this view data that this capturing images module is captured, one cradle driver module, be used for driving the oscillating motion of this cradle, an and control module, be coupled in this picture recognition module and this cradle driver module, the result who is used for discerning according to this picture recognition module this view data controls this cradle driver module.
A kind of method of utilizing image recognition technology to control a cradle swinging condition of the black exposure of the present invention, it comprises the following step: (a) acquisition one view data; (b) be identified in this view data that step (a) is captured; And the swinging condition of (c) controlling this cradle according to the recognition result of step (b).
Description of drawings
Fig. 1 is the function block schematic diagram of cradle device of the present invention.
Fig. 2 is the schematic appearance of cradle device of the present invention.
Fig. 3 utilizes the flow chart of the swinging condition of image recognition technology control cradle for the present invention.
Fig. 4 is the schematic diagram of the eye image profile that step 114 drew.
The reference numeral explanation:
10 cradle devices, 12 cradles
14 capturing images modules, 16 camera lenses
18 imageing sensors, 20 picture recognition module
22 cradle driver modules, 24 motors
26 motor control units, 28 memory modules
30 control modules, 32 supports
34 rod members, 36 fixed bars
38 face area detecting units, 40 eye areas detecting units
The specific embodiment
See also Fig. 1 and Fig. 2, Fig. 1 utilizes the function block schematic diagram of the cradle device 10 that image recognition technology controls the cradle swinging condition for the present invention is a kind of, and Fig. 2 is the schematic appearance of cradle device 10 of the present invention.Cradle device 10 comprises a cradle 12, be used for carrying the baby, one capturing images module 14, be used for capturing view data, it can be a video camera or a camera, capturing images module 14 comprises a camera lens 16, be used for receiving the light that desire acquisition image is launched or reflected, an and imageing sensor 18, be used for converting the light that camera lens 16 is received to electric signal, imageing sensor 18 can comprise at least one photosensitive coupling component (charge coupled device, CCD), or at least one complementary metal oxide semiconductors (CMOS) (complementary metal-oxide semiconductor, CMOS) etc.Cradle device 10 comprises a picture recognition module 20 in addition, be used for the view data that recognition image acquisition module 14 captured, it can be a program code or logic circuit etc., and a cradle driver module 22, being used for driving the oscillating motion of cradle 12, cradle driver module 22 is to comprise a motor 24, it can be the d.c. motor (DC motor) that a ring-type is saved, use and shake cradle 12, and a motor control unit 26, be used for receiving the action of control signal with control motor 24.Cradle device 10 comprises a memory module 28 in addition, be used for view data that store images acquisition module 14 captured and the data temporarily providing room during as picture recognition module 20 deal with data, an and control module 30, be coupled in picture recognition module 20 and cradle driver module 22, being used for the result of the view data that captured according to picture recognition module 20 recognition image acquisition modules 14 controls cradle driver module 22, uses the swing of control cradle 12.In addition, cradle device 10 comprises a support 32 in addition, one rod member 34, be connected in support 32 in rotating mode, an and fixed bar 36, be connected in rod member 34 and cradle 12, be used for carrying cradle 12, wherein capturing images module 14 is mounted on the rod member 34, and cradle driver module 22 is to be connected in rod member 34 and fixed bar 36, and cradle driver module 22 can X-axis rotate (rolling) as rotating shaft and shown in Fig. 2 direction of arrow, use and drive fixed bar 36 and swing back and forth and wave cradle 12, and can drive rod member 34 and rotate,, and capture baby's characteristics of image continuously so that the capturing images module 14 on the rod member 34 can be aimed at the baby in the cradle 12 synchronously always.In addition, the view data that capturing images module 14 is captured can be the view data of baby face, and picture recognition module 20 comprises a face area detecting unit 38 in addition, be used for capturing the image feature information of face, and the regional detecting unit 40 of eyes, capture the image feature information of eyes in the image feature information of the face that is captured with cause face area detecting unit 38, wherein control module 30 is to be used for image feature information control cradle driver module 22 according to these eyes.
See also Fig. 3, Fig. 3 controls the flow chart of the swinging condition of cradle 12 for the present invention utilizes image recognition technology, and this method comprises the following step:
Step 100: beginning.
Step 102: the face image data that utilizes baby in the capturing images module 14 acquisition cradles 12.
Step 104: the face area detecting unit 38 of picture recognition module 20 captures the image feature information of the face image data that image capturing device 14 is captured in the step 102 according to colour of skin scope.
Step 106: the face image characteristic information that the eye areas detecting unit 40 of picture recognition module 20 is captured according to face area detecting unit 38 produces an eyes area image.
Step 108: this eye areas image that utilizes Sobel edge strengthening method (Sobel edge enhancement) treatment step 106 to be drawn.
Step 110: the view data of utilizing binary conversion treatment method treatment step 108 to be produced.
Step 112: the edge feature point of the acquisition view data that step 110 produced.
Step 114: utilize view data that snake model (snake model) facture treatment step 112 produced to produce the profile of eye image.
Step 116: whether the width/height ratio of the profile of this eye image that is drawn in the determining step 114 is greater than a predetermined value, if execution in step 118; If not execution in step 120 then.
Step 118: control module 30 control cradle driver modules 22, use driving cradle 12 and carry out rocking action.
Step 120: control module 30 control cradle driver modules 22, use control cradle 12 and stop rocking action.
Step 122: finish.
At this above-mentioned steps is done a detailed explanation, at first capturing images module 14 can be erected at the position of aiming at baby face in the cradle 12 on the rod member 34 as shown in Figure 2, use the face image data of baby in the acquisition cradle 12, and cradle 12 can be driven by cradle driver module 22 synchronously owing to rod member 34 and fixed bar 36 in the process of waving, so rod member 34 and cradle 12 also can synchronous swings and make capturing images module 14 can aim at the position of baby face in the cradle 12, therefore can set the convenient face image data that captures baby in the cradles 12 with capturing images module 14 of every certain interval of time always.And the baby's that capturing images module 14 is captured face image data can be stored in memory module 28, the face area detecting unit 38 of picture recognition module 20 just can capture the image feature information of the face image data that image capturing device 14 is captured in the step 102 according to colour of skin scope afterwards, for instance, utilize existing colour of skin theory, according to the possible scope of the colour of skin in the statistics, the Cr of which pixel and Cb value are located in the possible Cr of the colour of skin in the face image data that image capturing device 14 is captured in the determining step 102, in the Cb value scope, and obtain the image feature information (magnitude range of face) of face image data, wherein, can set that face's colour of skin partly is white in the image feature information of this face image data, remainder is a black etc.Next, the eye areas detecting unit 40 of picture recognition module 20 can produce this eye areas image according to the face image characteristic information that face area detecting unit 38 is captured, meaning can find the eye areas image of two black regions in the white portion of face's colour of skin part, utilizing some traditional image processing methods that this eye areas image is carried out image afterwards again handles, and draw the exterior contour of eye image, this eye areas image that for example can utilize Sobel edge strengthening method (Sobel edge enhancement) treatment step 106 to be drawn in this embodiment, the view data of utilizing binary conversion treatment method treatment step 108 to be produced again, the edge feature point of the view data that captures step 110 again and produced utilizes view data that snake model (snake model) facture treatment step 112 produced to produce the profile of eye image at last again.And produce this eye areas image by this face image data, and, can be not limited to above-mentioned image processing method by the image processing method that captures the profile of eye image in this eye areas image, be not described in detail in this.
And resulting eye image profile is just for to judge whether the baby enters dormant main foundation, see also Fig. 4, Fig. 4 is the schematic diagram of the eye image profile that step 114 drew, edge feature point by this eye image profile outermost can draw a length L and a width W, when the width/height of this eye image profile than (W/L) during greater than this predetermined value, then represent baby's eyes not entire as yet on, so the baby does not enter sleep state this moment; Otherwise, when the width/height of this eye image profile than (W/L) during less than this predetermined value, then represent baby's eyes entire on, so the baby has entered sleep state this moment.Afterwards, control module 30 just can be according to the width/height of this eye image profile than (W/L) comparative result with this predetermined value, control the action of cradle driver module 22, when the width/height of this eye image profile than (W/L) during greater than this predetermined value, because judge that the baby does not enter sleep state this moment, so control module 30 exportable controls signal to the motor control unit 26 of cradle driver module 22, use control motor 24 and be rotated further and drive cradle 12 to carry out rocking action; And when the width/height of eye image profile than (W/L) during less than this predetermined value, because judge that the baby has entered sleep state this moment, so control module 30 exportable controls signal to the motor control unit 26 of cradle driver module 22, use control motor 24 and stop operating and stop to drive waving of cradle 12.In addition, also can be designed to control module 30 and can control the running speed of the motor 24 of cradle driver module 22 than (W/L) according to the width/height of eye image profile, for example when the width/height of eye image profile is bigger more than (W/L), then represent the baby now to be in clear-headed state, so it is very fast to control the running speed of motor 24 of cradle driver module 22, and make the amplitude of fluctuation of cradle 12 or hunting frequency bigger, sleeping to help the baby; If when the width/height of eye image profile than (W/L) more hour, then represent the baby now to be in slowly sleeping state, so it is slower to control the running speed of motor 24 of cradle driver module 22, and make the amplitude of fluctuation of cradle 12 or hunting frequency less, avoiding the baby to get a fright because cradle 12 rocks in the middle of be sunk into sleep, or the baby can form the custom that also needs cradle 12 to continue to shake when sleeping soundly.
Compared to existing cradle device, the cradle device that utilizes image recognition technology to control the cradle swinging condition of the present invention, can judge automatically whether the baby enters sleep state and control the cradle swinging condition in real time, so big people needn't shake cradle on the cradle side in person, and reach the mechanism of hommization control cradle swing.
The above only is preferred embodiment of the present invention, and all equalizations of being done according to the present patent application claim change and modify, and all should belong to the covering scope of patent of the present invention.
Claims (10)
1. cradle device that utilizes image recognition technology to control the cradle swinging condition, it includes:
One cradle;
One capturing images module is used for capturing a view data;
One picture recognition module is used for discerning this view data that this capturing images module is captured;
One cradle driver module is used for driving the oscillating motion of this cradle; And
One control module is coupled in this picture recognition module and this cradle driver module, and the result who is used for discerning according to this picture recognition module this view data controls this cradle driver module.
2. cradle device as claimed in claim 1, wherein, this capturing images module comprises a camera lens, is used for receiving the light that this view data of desire acquisition is launched or reflected, and an imageing sensor, this light that is used for this camera lens is received converts an electric signal to.
3. cradle device as claimed in claim 2, wherein, this imageing sensor comprises a photosensitive coupling component.
4. cradle device as claimed in claim 2, wherein, this imageing sensor comprises a complementary metal oxide semiconductors (CMOS).
5. cradle device as claimed in claim 1, wherein, this cradle driver module comprises a motor, and a motor control unit, is coupled in this control module, is used for controlling according to the control signal that this control module transmits the action of this motor.
6. cradle device as claimed in claim 1, it comprises in addition:
One support;
One rod member is connected in this support in rotating mode; And
One fixed bar is connected in this rod member and this cradle, is used for carrying this cradle;
Wherein, this capturing images module is mounted on this rod member, and this cradle driver module is to be connected in this rod member and this fixed bar.
7. method of utilizing image recognition technology to control a cradle swinging condition, it comprises the following step:
(a) acquisition one view data;
(b) be identified in this view data that step (a) is captured; And
(c) control the swinging condition of this cradle according to the recognition result of step (b).
8. method as claimed in claim 7, wherein, step (b) comprises the following step:
(b1) seek in this view data that step (a) captured between the view data that meets a pre-defined rule;
(b2) view data that is searched out according to step (b1) produces a length-width ratio;
Wherein, step (c) is to control the swinging condition of this cradle according to the length-width ratio that step (b2) produces.
9. method as claimed in claim 8 wherein, when step (c) comprises the length-width ratio that produces when step (b2) less than a predetermined value, is controlled this cradle and is carried out rocking action.
10. method as claimed in claim 8 wherein, when step (c) comprises the length-width ratio that produces when step (b2) greater than a predetermined value, is controlled this cradle and is stopped rocking action.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200610075286 CN101057736A (en) | 2006-04-18 | 2006-04-18 | Cradle device and method for using image recognition technology to control swinging state of cradle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200610075286 CN101057736A (en) | 2006-04-18 | 2006-04-18 | Cradle device and method for using image recognition technology to control swinging state of cradle |
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| CN101057736A true CN101057736A (en) | 2007-10-24 |
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| CN 200610075286 Pending CN101057736A (en) | 2006-04-18 | 2006-04-18 | Cradle device and method for using image recognition technology to control swinging state of cradle |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101794384A (en) * | 2010-03-12 | 2010-08-04 | 浙江大学 | Shooting action identification method based on human body skeleton map extraction and grouping motion diagram inquiry |
| CN104665375A (en) * | 2013-12-03 | 2015-06-03 | 哈尔滨智木科技有限公司 | Intelligent crib |
| CN109059763A (en) * | 2018-08-08 | 2018-12-21 | 浙江科技学院 | The method and device of mobile phone for measuring size based on laser ranging and image comparison |
| US10238341B2 (en) | 2016-05-24 | 2019-03-26 | Graco Children's Products Inc. | Systems and methods for autonomously soothing babies |
| CN110400262A (en) * | 2019-04-10 | 2019-11-01 | 泰州市康平医疗科技有限公司 | Identification device based on customization data processing |
| CN111209881A (en) * | 2020-01-13 | 2020-05-29 | 深圳市雄帝科技股份有限公司 | Method and system for detecting eye state in image |
| CN111814511A (en) * | 2019-04-10 | 2020-10-23 | 泰州市康平医疗科技有限公司 | Identification method based on customized data processing |
-
2006
- 2006-04-18 CN CN 200610075286 patent/CN101057736A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101794384A (en) * | 2010-03-12 | 2010-08-04 | 浙江大学 | Shooting action identification method based on human body skeleton map extraction and grouping motion diagram inquiry |
| CN104665375A (en) * | 2013-12-03 | 2015-06-03 | 哈尔滨智木科技有限公司 | Intelligent crib |
| US10238341B2 (en) | 2016-05-24 | 2019-03-26 | Graco Children's Products Inc. | Systems and methods for autonomously soothing babies |
| CN109059763A (en) * | 2018-08-08 | 2018-12-21 | 浙江科技学院 | The method and device of mobile phone for measuring size based on laser ranging and image comparison |
| CN110400262A (en) * | 2019-04-10 | 2019-11-01 | 泰州市康平医疗科技有限公司 | Identification device based on customization data processing |
| CN111814511A (en) * | 2019-04-10 | 2020-10-23 | 泰州市康平医疗科技有限公司 | Identification method based on customized data processing |
| CN111814511B (en) * | 2019-04-10 | 2021-02-23 | 青岛大学附属医院 | Identification method based on customized data processing |
| CN111209881A (en) * | 2020-01-13 | 2020-05-29 | 深圳市雄帝科技股份有限公司 | Method and system for detecting eye state in image |
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