CN108520222A - Identification identification method, device, storage medium and electronic equipment based on face's intelligent scanning - Google Patents
Identification identification method, device, storage medium and electronic equipment based on face's intelligent scanning Download PDFInfo
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- 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
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- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
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Abstract
The present invention provides a kind of identification identification method, device, storage medium and electronic equipment based on face's intelligent scanning.This approach includes the following steps：Human face scanning image to be identified is divided into multiple characteristic areas according to preset rules；Each characteristic area of the human face scanning image is identified to obtain the fisrt feature information in this feature region；Multiple facial images to be selected are retrieved from database according to the fisrt feature information, wherein, each fisrt feature information corresponds at least one facial image to be selected, and the second feature information in the character pair region of at least one facial image to be selected and the matching degree of the fisrt feature information meet threshold value；Each characteristic area of the multiple facial image to be selected is compared with the character pair region of the human face scanning image to be identified respectively, to select target facial image from multiple facial image to be selected.
Description
Technical field
This application involves technical field of face recognition, more particularly to a kind of identification identification side based on face's intelligent scanning
Method, device, storage medium and electronic equipment.
Background technology
In the prior art, it needs to carry out the face images in facial image to be identified and database when recognition of face
Complete contrast, efficiency are low.
Therefore, the prior art is defective, needs to improve.
Invention content
The embodiment of the present application provides a kind of identification identification method, device, storage medium and electricity based on face's intelligent scanning
Sub- equipment, can be with the efficiency of recognition of face.
The embodiment of the present application provides a kind of identification identification method based on face's intelligent scanning, includes the following steps：
Human face scanning image to be identified is divided into multiple characteristic areas according to preset rules；
Each characteristic area of the human face scanning image is identified to obtain the fisrt feature information in this feature region；
Multiple facial images to be selected are retrieved from database according to the fisrt feature information, wherein each described first is special
The corresponding at least one facial image to be selected of reference breath, and the second of the character pair region of at least one facial image to be selected is special
Reference is ceased meets threshold value with the matching degree of the fisrt feature information；
Each characteristic area of the multiple facial image to be selected is corresponding with the human face scanning image to be identified respectively
Characteristic area is compared, to select target facial image from multiple facial image to be selected.
It is described to wait knowing according to preset rules in the identification identification method of the present invention based on face's intelligent scanning
The step of other face scan image is divided into multiple characteristic areas include：Human face scanning image to be identified is divided into left face
Characteristic area, characteristic area of having the face, forehead characteristic area, ear characteristic area, glasses characteristic area, eyebrow characteristic area, mouth
Bar characteristic area and nose characteristic area.
It is described to the human face scanning image in the identification identification method of the present invention based on face's intelligent scanning
The each characteristic area the step of fisrt feature information to obtain this feature region is identified include：
Each characteristic area of the human face scanning image is identified to obtain colouring information, the profile letter in this feature region
Breath and dimension information.
It is described by the multiple face to be selected in the identification identification method of the present invention based on face's intelligent scanning
Each characteristic area of image is compared with the character pair region of the human face scanning image respectively, with from multiple to be selected
The step of target facial image is selected in facial image include：
By each characteristic area of the multiple facial image to be selected character pair region with the human face scanning image respectively
It is compared, the most at least one first face figure of matched characteristic area is filtered out from the multiple facial image to be selected
Picture；
If the quantity of at least one first facial image is one, using first facial image as target facial image；
If the quantity of at least one first facial image is multiple, according to default weight equation from multiple first face
Target facial image is filtered out in image.
In the identification identification method of the present invention based on face's intelligent scanning, the default weight equation be Y=
A1B1+A2B2+A3B3+...+AnBn, wherein A1, A2, A3...An are respectively the matching degree of a characteristic area, B1, B2,
B3...Bn is respectively the weight coefficient in character pair region.
A kind of identification identification apparatus based on face's intelligent scanning, including：
Division module, for human face scanning image to be identified to be divided into multiple characteristic areas according to preset rules；
Identification module is identified for each characteristic area to the human face scanning image to obtain the of this feature region
One characteristic information；
Module is retrieved, for retrieving multiple facial images to be selected from database according to the fisrt feature information, wherein every
The one fisrt feature information corresponds at least one facial image to be selected, and the character pair of at least one facial image to be selected
The second feature information in region meets threshold value with the matching degree of the fisrt feature information；
Selecting module, for sweeping each characteristic area of the multiple facial image to be selected with the face to be identified respectively
The character pair region of tracing picture is compared, to select target facial image from multiple facial image to be selected.
In the identification identification apparatus of the present invention based on face's intelligent scanning, the division module will be for that will wait knowing
Other face scan image is divided into left face characteristic area, characteristic area of having the face, forehead characteristic area, ear characteristic area, eye
Mirror characteristic area, eyebrow characteristic area, face characteristic area and nose characteristic area.
In the identification identification apparatus of the present invention based on face's intelligent scanning, the identification module is used for described
Each characteristic area of human face scanning image is identified to obtain the colouring information, profile information and size in this feature region
Information.
A kind of storage medium is stored with computer program in the storage medium, when the computer program is in computer
When upper operation so that the computer executes method described in any one of the above embodiments.
A kind of electronic equipment, including processor and memory are stored with computer program, the processing in the memory
Device is by calling the computer program stored in the memory, for executing any of the above-described method.
From the foregoing, it will be observed that the present invention by human face scanning image to be identified according to preset rules by being divided into multiple characteristic areas
Domain；Each characteristic area of the human face scanning image is identified to obtain the fisrt feature information in this feature region；Root
Multiple facial images to be selected are retrieved from database according to the fisrt feature information, wherein each fisrt feature information
Corresponding at least one facial image to be selected, and the second feature information in the character pair region of at least one facial image to be selected
Meet threshold value with the matching degree of the fisrt feature information；By each characteristic area of the multiple facial image to be selected respectively with institute
The character pair region for stating human face scanning image to be identified is compared, to select target from multiple facial image to be selected
Facial image.To realize that fast face identifies, by the institute without the face images in all databases by face
There is feature to be compared one by one, substantially increases recognition efficiency.
Description of the drawings
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described.It should be evident that the accompanying drawings in the following description is only some embodiments of the present application, for
For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the identification identity process schematic diagram provided by the embodiments of the present application based on face's intelligent scanning.
Fig. 2 is the structural schematic diagram of the identification identification apparatus provided by the embodiments of the present application based on face's intelligent scanning.
Fig. 3 is the structural schematic diagram of electronic equipment provided by the embodiments of the present application.
Specific implementation mode
Presently filed embodiment is described below in detail, the example of the embodiment is shown in the accompanying drawings, wherein from beginning
Same or similar element or element with the same or similar functions are indicated to same or similar label eventually.Below by ginseng
The embodiment for examining attached drawing description is exemplary, and is only used for explaining the application, and should not be understood as the limitation to the application.
In the description of the present application, it is to be understood that term "center", " longitudinal direction ", " transverse direction ", " length ", " width ",
" thickness ", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside", " up time
The orientation or positional relationship of the instructions such as needle ", " counterclockwise " is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of
It describes the application and simplifies to describe, do not indicate or imply the indicated device or element must have a particular orientation, with spy
Fixed azimuth configuration and operation, therefore should not be understood as the limitation to the application.In addition, term " first ", " second " are only used for
Purpose is described, relative importance is not understood to indicate or imply or implicitly indicates the quantity of indicated technical characteristic.
" first " is defined as a result, the feature of " second " can explicitly or implicitly include one or more feature.
In the description of the present application, the meaning of " plurality " is two or more, unless otherwise specifically defined.
In the description of the present application, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
Can also be to be electrically connected or can mutually communicate to be mechanical connection；It can be directly connected, it can also be by between intermediary
It connects connected, can be the interaction relationship of the connection or two elements inside two elements.For the ordinary skill of this field
For personnel, the concrete meaning of above-mentioned term in this application can be understood as the case may be.
In this application unless specifically defined or limited otherwise, fisrt feature the "upper" of second feature or "lower"
It may include that the first and second features are in direct contact, can also not be to be in direct contact but pass through it including the first and second features
Between other characterisation contact.Moreover, fisrt feature second feature " on ", " top " and " above " include first special
Sign is right over second feature and oblique upper, or is merely representative of fisrt feature level height and is higher than second feature.Fisrt feature exists
Second feature " under ", " lower section " and " following " include fisrt feature immediately below second feature and obliquely downward, or be merely representative of
Fisrt feature level height is less than second feature.
Following disclosure provides many different embodiments or example is used for realizing the different structure of the application.In order to
Simplify disclosure herein, hereinafter the component of specific examples and setting are described.Certainly, they are merely examples, and
And purpose does not lie in limitation the application.In addition, the application can in different examples repeat reference numerals and/or reference letter,
This repetition is for purposes of simplicity and clarity, itself not indicate between discussed various embodiments and/or setting
Relationship.In addition, this application provides various specific techniques and material example, but those of ordinary skill in the art can be with
Recognize the application of other techniques and/or the use of other materials.
Term " first ", " second ", " third " in the description and claims of this application and above-mentioned attached drawing etc.
（If there is）It is for distinguishing similar object, without being used to describe specific sequence or precedence.It should be appreciated that this
The object of sample description can be interchanged in the appropriate case.In addition, term " comprising " and " having " and their any deformation, meaning
Figure, which is to cover, non-exclusive includes.For example, containing the process of series of steps, method or containing a series of modules or list
The device of member, terminal, system those of are not necessarily limited to clearly to list step or module or unit, can also include unclear
The step of ground is listed or module or unit can also include for intrinsic its of these processes, method, apparatus, terminal or system
Its step or module or unit.
With reference to figure 1, Fig. 1 is the flow of the identification identification method based on face's intelligent scanning in some embodiments of the invention
Figure.This method is applied in the electronic equipments such as mobile phone, IPAD, the identification identification method based on face's intelligent scanning, including with
Lower step：
S101, human face scanning image to be identified is divided into multiple characteristic areas according to preset rules.
Wherein, the facial image of the storage in database is to be divided into multiple characteristic areas according to identical preset rules
Domain.In some embodiments, human face scanning image to be identified is divided into left face characteristic area, characteristic area of having the face, forehead
Characteristic area, ear characteristic area, glasses characteristic area, eyebrow characteristic area, face characteristic area and nose characteristic area.
Corresponding, each facial image of the storage in database is also divided into left face characteristic area, characteristic area of having the face, forehead feature
Region, ear characteristic area, glasses characteristic area, eyebrow characteristic area, face characteristic area and nose characteristic area.
S102, each characteristic area of the human face scanning image is identified to obtain first spy in this feature region
Reference ceases.
When each characteristic area are identified, face recognition algorithms in the prior art may be used and be identified,
In, which includes but is not limited to following characteristics information：Colouring information, profile information and dimension information etc..
It will of course be understood that ground in some embodiments, can be according to the age information of people to each feature in order to improve accuracy
The characteristic information in region carries out small optimization.
S103, multiple facial images to be selected are retrieved from database according to the fisrt feature information, wherein Mei Yisuo
It states fisrt feature information and corresponds at least one facial image to be selected, and the character pair region of at least one facial image to be selected
The matching degree of second feature information and the fisrt feature information meet threshold value.
Wherein, it is different for the setting of the threshold value of different characteristic areas, the feature in different characteristic region mainly carries
Existing different aspect.For example, for length difference away from relatively small, the main distinction is width for eye areas.And for nose
For son, mainly withdraw deposit in the height of nose and width etc..Therefore, different characteristic areas is used to use different thresholds
Value.
S104, by each characteristic area of the multiple facial image to be selected respectively with the human face scanning figure to be identified
The character pair region of picture is compared, to select target facial image from multiple facial image to be selected.
In this step, due to step S103 retrieval when by the fisrt feature information of characteristic area and face to be selected
The character pair region of image is had matched, therefore, in step S104, it is only necessary to by facial image to be selected other not
The characteristic area compared is compared with the characteristic area of the face scan image respectively, can improve efficiency.
In some embodiments, step S104 includes following sub-step：
It is S1041, each characteristic area of the multiple facial image to be selected is corresponding with the human face scanning image special respectively
Sign region is compared, and at least one first of matched characteristic area at most is filtered out from the multiple facial image to be selected
Facial image；If the quantity of S1042, at least one first facial image is one, using first facial image as mesh
Mark facial image；If the quantity of S1043, at least one first facial image be it is multiple, according to default weight equation from
Target facial image is filtered out in multiple first facial image.The default weight equation is Y=A1B1+A2B2+A3B3+...
+ AnBn, wherein A1, A2, A3...An are respectively the matching degree of a characteristic area, and B1, B2, B3...Bn are respectively character pair
The weight coefficient in region.And the target facial image is that Y value is maximum in multiple first facial image.
From the foregoing, it will be observed that the present invention by human face scanning image to be identified according to preset rules by being divided into multiple characteristic areas
Domain；Each characteristic area of the human face scanning image is identified to obtain the fisrt feature information in this feature region；Root
Multiple facial images to be selected are retrieved from database according to the fisrt feature information, wherein each fisrt feature information
Corresponding at least one facial image to be selected, and the second feature information in the character pair region of at least one facial image to be selected
Meet threshold value with the matching degree of the fisrt feature information；By each characteristic area of the multiple facial image to be selected respectively with institute
The character pair region for stating human face scanning image to be identified is compared, to select target from multiple facial image to be selected
Facial image.To realize that fast face identifies, by the institute without the face images in all databases by face
There is feature to be compared one by one, substantially increases recognition efficiency.
Fig. 2 is please referred to, Fig. 2 is the identification identification apparatus 200 based on face's intelligent scanning in some embodiments of the invention
Structure chart.The identification identification apparatus 200 based on face's intelligent scanning includes：Division module 201, identification module 202, retrieval
Module 203 and selecting module 204.
Wherein, which is used to that human face scanning image to be identified to be divided into multiple spies according to preset rules
Levy region.Specifically, which is used to human face scanning image to be identified being divided into left face characteristic area, have the face
Characteristic area, forehead characteristic area, ear characteristic area, glasses characteristic area, eyebrow characteristic area, face characteristic area and
Nose characteristic area.
Wherein, which is used to that each characteristic area of the human face scanning image to be identified to obtain
The fisrt feature information in this feature region.Wherein, which is specifically used for identification module for the human face scanning
Each characteristic area of image is identified to obtain the colouring information, profile information and dimension information in this feature region.
Wherein, which is used to be retrieved from database according to the fisrt feature information and multiple waits choosing
Face image, wherein each fisrt feature information corresponds at least one facial image to be selected, and at least one face to be selected
The second feature information in the character pair region of image meets threshold value with the matching degree of the fisrt feature information.
Wherein, the selection module 204 be used for by each characteristic area of the multiple facial image to be selected respectively with it is described
The character pair region of human face scanning image to be identified is compared, to select target person from multiple facial image to be selected
Face image.The selection module 204 be specifically used for by each characteristic area of the multiple facial image to be selected respectively with the people
The character pair region of face scan image is compared, and matched characteristic area is filtered out from the multiple facial image to be selected
Most at least one first facial images；If the quantity of at least one first facial image be one, with this first
Facial image is target facial image；If the quantity of at least one first facial image is multiple, according to default weight
Formula filters out target facial image from multiple first facial image.The default weight equation is Y=A1B1+A2B2+
A3B3+...+AnBn, wherein A1, A2, A3...An are respectively the matching degree of a characteristic area, and B1, B2, B3...Bn are respectively
The weight coefficient in character pair region.And the target facial image is that Y value is maximum in multiple first facial image.
From the foregoing, it will be observed that the present invention by human face scanning image to be identified according to preset rules by being divided into multiple characteristic areas
Domain；Each characteristic area of the human face scanning image is identified to obtain the fisrt feature information in this feature region；Root
Multiple facial images to be selected are retrieved from database according to the fisrt feature information, wherein each fisrt feature information
Corresponding at least one facial image to be selected, and the second feature information in the character pair region of at least one facial image to be selected
Meet threshold value with the matching degree of the fisrt feature information；By each characteristic area of the multiple facial image to be selected respectively with institute
The character pair region for stating human face scanning image to be identified is compared, to select target from multiple facial image to be selected
Facial image.To realize that fast face identifies, by the institute without the face images in all databases by face
There is feature to be compared one by one, substantially increases recognition efficiency.
Fig. 3 is please referred to, the embodiment of the present application also provides a kind of electronic equipment.The electronic equipment can be smart mobile phone, put down
Plate apparatus such as computer.Such as show, electronic equipment 300 includes processor 301 and memory 302.Wherein, processor 301 and memory
302 are electrically connected.
Processor 301 is the control centre of terminal 300, utilizes each portion of various interfaces and the entire terminal of connection
Point, by running or calling the computer program being stored in memory 302, and calling to be stored in the number in memory 302
According to, execute terminal various functions and processing data, to terminal carry out integral monitoring.
In the present embodiment, processor 301 in electronic equipment 300 can according to following step, by one or one with
On the corresponding instruction of process of computer program be loaded into memory 302, and be stored in storage by processor 301 to run
Computer program in device 302, to realize various functions：Human face scanning image to be identified is divided into according to preset rules
Multiple characteristic areas；Each characteristic area of the human face scanning image is identified special to obtain the first of this feature region
Reference ceases；Multiple facial images to be selected are retrieved from database according to the fisrt feature information, wherein each described first
Characteristic information corresponds at least one facial image to be selected, and the second of the character pair region of at least one facial image to be selected
Characteristic information and the matching degree of the fisrt feature information meet threshold value；By each characteristic area of the multiple facial image to be selected
It is compared respectively with the character pair region of the human face scanning image to be identified, with from multiple facial image to be selected
Select target facial image.
Memory 302 can be used for storing computer program and data.Include in the computer program that memory 302 stores
The instruction that can be executed in the processor.Computer program can form various functions module.Processor 301 is stored in by calling
The computer program of memory 302, to perform various functions application and data processing.
The embodiment of the present application also provides a kind of storage medium, and computer program is stored in the storage medium, when the calculating
When machine program is run on computers, which executes the identification based on face's intelligent scanning described in any of the above-described embodiment
Identification method.
It should be noted that one of ordinary skill in the art will appreciate that whole in the various methods of above-described embodiment or
Part steps are relevant hardware can be instructed to complete by program, which can be stored in computer-readable storage medium
In matter, which can include but is not limited to：Read-only memory（ROM, Read Only Memory）, random access memory
Device（RAM, Random Access Memory）, disk or CD etc..
Big data safe encryption method, device, storage medium and the electronic equipment that the embodiment of the present application is provided above
It is described in detail, specific examples are used herein to illustrate the principle and implementation manner of the present application, the above reality
The explanation for applying example is merely used to help understand the present processes and its core concept；Meanwhile for those skilled in the art,
According to the thought of the application, there will be changes in the specific implementation manner and application range, in conclusion in this specification
Hold the limitation that should not be construed as to the application.
Claims (10)
1. a kind of identification identification method based on face's intelligent scanning, which is characterized in that include the following steps：
Human face scanning image to be identified is divided into multiple characteristic areas according to preset rules；
Each characteristic area of the human face scanning image is identified to obtain the fisrt feature information in this feature region；
Multiple facial images to be selected are retrieved from database according to the fisrt feature information, wherein each described first is special
The corresponding at least one facial image to be selected of reference breath, and the second of the character pair region of at least one facial image to be selected is special
Reference is ceased meets threshold value with the matching degree of the fisrt feature information；
Each characteristic area of the multiple facial image to be selected is corresponding with the human face scanning image to be identified respectively
Characteristic area is compared, to select target facial image from multiple facial image to be selected.
2. the identification identification method according to claim 1 based on face's intelligent scanning, which is characterized in that described according to pre-
If the step of human face scanning image to be identified is divided into multiple characteristic areas by rule includes：By human face scanning figure to be identified
As being divided into left face characteristic area, characteristic area of having the face, forehead characteristic area, ear characteristic area, glasses characteristic area, eyebrow
Characteristic area, face characteristic area and nose characteristic area.
3. the identification identification method according to claim 1 based on face's intelligent scanning, which is characterized in that described to described
Each characteristic area of human face scanning image is identified the step of fisrt feature information to obtain this feature region and includes：
Each characteristic area of the human face scanning image is identified to obtain colouring information, the profile letter in this feature region
Breath and dimension information.
4. the identification identification method according to claim 1 based on face's intelligent scanning, which is characterized in that it is described will be described
Each characteristic area of multiple facial images to be selected is compared with the character pair region of the human face scanning image respectively, with
The step of selecting target facial image from multiple facial image to be selected include：
By each characteristic area of the multiple facial image to be selected character pair region with the human face scanning image respectively
It is compared, the most at least one first face figure of matched characteristic area is filtered out from the multiple facial image to be selected
Picture；
If the quantity of at least one first facial image is one, using first facial image as target facial image；
If the quantity of at least one first facial image is multiple, according to default weight equation from multiple first face
Target facial image is filtered out in image.
5. the identification identification method according to claim 4 based on face's intelligent scanning, which is characterized in that the default power
Weight formula is Y=A1B1+A2B2+A3B3+...+AnBn, wherein A1, A2, A3...An are respectively the matching degree of a characteristic area,
B1, B2, B3...Bn are respectively the weight coefficient in character pair region.
6. a kind of identification identification apparatus based on face's intelligent scanning, which is characterized in that including：
Division module, for human face scanning image to be identified to be divided into multiple characteristic areas according to preset rules；
Identification module is identified for each characteristic area to the human face scanning image to obtain the of this feature region
One characteristic information；
Module is retrieved, for retrieving multiple facial images to be selected from database according to the fisrt feature information, wherein every
The one fisrt feature information corresponds at least one facial image to be selected, and the character pair of at least one facial image to be selected
The second feature information in region meets threshold value with the matching degree of the fisrt feature information；
Selecting module, for sweeping each characteristic area of the multiple facial image to be selected with the face to be identified respectively
The character pair region of tracing picture is compared, to select target facial image from multiple facial image to be selected.
7. the identification identification apparatus according to claim 6 based on face's intelligent scanning, which is characterized in that the division mould
Block is used to human face scanning image to be identified being divided into left face characteristic area, characteristic area of having the face, forehead characteristic area, ear
Characteristic area, glasses characteristic area, eyebrow characteristic area, face characteristic area and nose characteristic area.
8. the identification identification apparatus according to claim 6 based on face's intelligent scanning, which is characterized in that the identification mould
Block is for being identified each characteristic area of the human face scanning image to obtain colouring information, the profile in this feature region
Information and dimension information.
9. a kind of storage medium, computer program is stored in the storage medium, when the computer program on computers
When operation so that the computer perform claim requires 1-5 any one of them methods.
10. a kind of electronic equipment, including processor and memory, computer program, the processing are stored in the memory
Device requires any one of 1-5 methods by calling the computer program stored in the memory, for perform claim.
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| CN201810281185.6A CN108520222A (en) | 2018-04-02 | 2018-04-02 | Identification identification method, device, storage medium and electronic equipment based on face's intelligent scanning |
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| CN109325436A (en) * | 2018-09-17 | 2019-02-12 | 王虹 | Face identification system and server |
| CN109745014A (en) * | 2018-12-29 | 2019-05-14 | 江苏云天励飞技术有限公司 | Thermometry and Related product |
| CN111127313A (en) * | 2019-12-31 | 2020-05-08 | 深圳云天励飞技术有限公司 | Face picture drawing conversion method and related product |
| CN111159443A (en) * | 2019-12-31 | 2020-05-15 | 深圳云天励飞技术有限公司 | Image characteristic value searching method and device and electronic equipment |
| CN111693531A (en) * | 2019-03-14 | 2020-09-22 | 顶级手套(国际)有限公司 | Artificial intelligence for defect detection of polymer products in production line |
| CN112330846A (en) * | 2019-07-31 | 2021-02-05 | 比亚迪股份有限公司 | Vehicle control method and device, storage medium, electronic equipment and vehicle |
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2018
- 2018-04-02 CN CN201810281185.6A patent/CN108520222A/en not_active Withdrawn
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| CN109325436A (en) * | 2018-09-17 | 2019-02-12 | 王虹 | Face identification system and server |
| CN109745014A (en) * | 2018-12-29 | 2019-05-14 | 江苏云天励飞技术有限公司 | Thermometry and Related product |
| CN111693531A (en) * | 2019-03-14 | 2020-09-22 | 顶级手套(国际)有限公司 | Artificial intelligence for defect detection of polymer products in production line |
| CN112330846A (en) * | 2019-07-31 | 2021-02-05 | 比亚迪股份有限公司 | Vehicle control method and device, storage medium, electronic equipment and vehicle |
| CN111127313A (en) * | 2019-12-31 | 2020-05-08 | 深圳云天励飞技术有限公司 | Face picture drawing conversion method and related product |
| CN111159443A (en) * | 2019-12-31 | 2020-05-15 | 深圳云天励飞技术有限公司 | Image characteristic value searching method and device and electronic equipment |
| CN111127313B (en) * | 2019-12-31 | 2023-06-13 | 深圳云天励飞技术有限公司 | Face sketch conversion method and related products |
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