CN108550197A - A kind of method that applied robot registers - Google Patents
A kind of method that applied robot registers Download PDFInfo
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- CN108550197A CN108550197A CN201810327701.4A CN201810327701A CN108550197A CN 108550197 A CN108550197 A CN 108550197A CN 201810327701 A CN201810327701 A CN 201810327701A CN 108550197 A CN108550197 A CN 108550197A
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- Prior art keywords
- register
- personnel
- control module
- image
- face
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Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
-
- 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
-
- 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
- G06V40/172—Classification, e.g. identification
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Collating Specific Patterns (AREA)
Abstract
The invention discloses a kind of methods that applied robot registers, and belong to the technology of robot field, including：Step S1, described image acquisition module acquire the face image of the personnel that register of preset quantity in a preset collection period；Step S2, the control module identify whether the personnel that register described in matching strategy judgement currently are participant according to the face image, by a full face：If so, the control module generates the information of registering that the personnel that register described in an expression have completed to register, and information of registering described in storage, subsequently back into step S1；If it is not, then returning to step S1.The advantageous effect of the technical solution is：The present invention can greatly short sign-on flow, improve the automatization level registered, save registering the time for participant, to which efficiency of registering greatly improved, decrease the waste of the resources such as paper, to greatly reduce the expense cost of the meeting side of holding.
Description
Technical field
The present invention relates to a kind of technology of robot field, the side that specifically a kind of applied robot registers
Method.
Background technology
Currently, people generally require to handle formality of registering when participating in the activity such as meeting or training.It is currently this to register
Handle and also rest on the manually-operated stage, that is, handle when registering, the personnel of moving in that wait registering are mainly foreground personnel's
Accompany, assist under register, mainly by foreground personnel's manual operation complete.
Manually-operated mode can have many deficiencies, first in terms of financial resources cost, need extensive work due to registering
Personnel cooperate, therefore increase human cost；Secondly, it needs to veritify various information, material repeatedly during manual operation, therefore
The regular hour is needed when going through the formalities, when personnel participating in the meeting is more, time cost is also very big.These are insufficient, not only right
Sponsor (various conferenced parties, training organization etc.) brings manpower, financial resources cost, increases their tissue difficulty, more
The impression of registering of personnel to be registered can be influenced, therefore is all bad for sponsor and personnel participating in the meeting, and is badly in need of solving
's.
Invention content
The present invention is directed to deficiencies of the prior art, proposes a kind of method that applied robot registers.This
Invention can greatly short sign-on flow, improve the automatization level registered, save registering the time for participant, from
And efficiency of registering greatly improved, the waste of the resources such as paper is decreased, to greatly reduce the expense of the meeting side of holding
Cost.
The present invention is achieved by the following technical solutions：
The present invention relates to a kind of methods that applied robot registers, wherein and the robot includes an identification head,
The identification head includes a touch display module and an image capture module, and the touch display module and described image acquire
Module is connected with a control module；
It is further comprising the steps of：
Step S1, described image acquisition module acquire the face of the personnel that register of preset quantity in a preset collection period
Portion's image；
Step S2, the control module identify that matching strategy judges currently according to the face image, by a full face
Whether the personnel that register are participant：
If so, the control module generates the information of registering that the personnel that register described in an expression have completed to register, and deposit
It registers described in storage information, subsequently back into step S1；
If it is not, then returning to step S1.
Preferably, the method which registers, wherein the full face identification matching strategy includes following step
Suddenly：
Step S21 extracts the characteristics of image of each face image of the current personnel that register；
Step S22, by the pre-stored characteristics of the described image feature of each face image and each participant
It is compared, obtains the described image feature of each face image of the current personnel that register and each participant
The similarity of the pre-stored characteristics of personnel；
Step S23 judges that each face image of the current personnel that register is big with the presence or absence of the similarity
In the pre-stored characteristics of preset first threshold value；
If so, the face image is used as successfully image；
If it is not, then the face image is as failure image；
Step S24 obtains the number of the quantity and the failure image of the success image of the current personnel that register
The ratio of amount, and judge whether the ratio is more than preset second threshold value：
If so, the current personnel that register are participant；
If it is not, then the current personnel that register are not participant.
Preferably, the method which registers, wherein the pre-stored characteristics are obtained by following steps：
The standard picture of the face of all participants is pre-stored in one and the control by step S221, sponsor
The connected memory module of module；
Step S222, the control module extract the face of each participant according to each standard picture
The pre-stored characteristics.
Preferably, the method which registers, wherein the pre-stored characteristics include：Width, the face of face
The distance between the height in portion, eyes and the distance between two ear-lobes.
Preferably, the method which registers, wherein in the step S1, the collection period is
2s。
Preferably, the method which registers, wherein in the step S1, the preset quantity is
20。
Preferably, the method which registers, wherein in the step S2, as the personnel that register
When not being the participant, between returning to step S1, process is signed again and again：
Step A1, the control module control the touch display module and shows that one is used for the personnel of registering and signs
Signature region；
Step A2, the control module register according to personnel it is described signature region signature formed a person's handwriting letter
Breath；
Step A3, the control module match the handwriting information with the person's handwriting that prestores of each participant, and
Judge whether successful match：
If so, the control module generates the information of registering that the personnel that register described in an expression have completed to register, and deposit
It registers described in storage information, subsequently back into step S1；
If it is not, then returning to step S1.
Preferably, the method which registers, wherein in the step S2, the control module life
After the information of registering, the control module generates a welcome message, and the welcome message is shown by described touch
Show that module is shown, subsequently back into the step S1,.
The advantageous effect of above-mentioned technical proposal is：
The present invention can greatly short sign-on flow, improve the automatization level registered, save participant's
It registers the time, to which efficiency of registering greatly improved, decreases the waste of the resources such as paper, lifted to greatly reduce meeting
The expense cost for the side of doing.
Description of the drawings
Fig. 1 is a kind of method flow schematic diagram that applied robot registers in the preferred embodiment of the present invention；
Fig. 2 is the full face identification in a kind of method that applied robot registers in the preferred embodiment of the present invention
Matching strategy flow diagram；
Fig. 3 is the pre-stored characteristics in a kind of method that applied robot registers in the preferred embodiment of the present invention
Acquisition process schematic diagram；
In the preferred embodiment of Fig. 4 present invention, the process of signing again in a kind of method that applied robot registers is shown
It is intended to.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments 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 obtained under the premise of not making creative work it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The invention will be further described in the following with reference to the drawings and specific embodiments, but not as limiting to the invention.
The present embodiment is related to a kind of method that applied robot registers.The robot includes an identification head, institute
It includes a touch display module and an image capture module to state identification head, and the touch display module and described image acquire mould
Block is connected with a control module.
The head of robot can be random rotation, touch display module and image capture module may be contained within robot
The surface on head.Touch display module is a touch screen, is signed for showing various information, and for the personnel of registering
Deng.Image capture module can be a camera, and the face image for the personnel of registering is acquired by camera.
As shown in Figure 1, the method that the applied robot in the present embodiment registers specifically includes following steps：
Step S1, what described image acquisition module acquired a preset quantity in a preset collection period registers personnel's
Face image.
Robot has detected that the personnel of registering are close, or the personnel that register are directly by voice come the step S1 that sets out.
After the personnel of registering, image capture module acquires the current personnel that register of preset quantity within the sampling period
Face image.
The usual sampling period is 2s, and the quantity of the face image of preset quantity, that is, current personnel that register is 20.
Step S2, the control module identify that matching strategy judges currently according to the face image, by a full face
Whether the personnel that register are participant：
If so, the control module generates the information of registering that the personnel that register described in an expression have completed to register, and deposit
It registers described in storage information, subsequently back into step S1；
If it is not, then returning to step S1.
As shown in Fig. 2, the full face identification matching strategy includes the following steps：
Step S21 extracts the characteristics of image of each face image of the current personnel that register.
Step S22, by the pre-stored characteristics of the described image feature of each face image and each participant
It is compared, obtains the described image feature of each face image of the personnel that register with each participant's
The similarity of the pre-stored characteristics.
As shown in figure 3, the pre-stored characteristics are obtained by following steps：
The standard picture of the face of all participants is pre-stored in one and the control by step S221, sponsor
The connected memory module of module；
Step S222, the control module extract the described pre- of each participant according to each standard picture
Deposit feature.
Step S23 judges that each face image of the current personnel that register whether there is a similarity
The pre-stored characteristics of first threshold value preset more than one；
If so, the face image is used as successfully image；
If it is not, then the face image is as failure image.
First threshold value can be 90% or 95%.
Step S24 obtains the number of the quantity and the failure image of the success image of the current personnel that register
The ratio of amount, and judge whether the ratio is more than preset second threshold value：
If so, the current personnel that register are participant；
If it is not, then the current personnel that register are not participant.
Second threshold value can be 15 or 16.
As shown in figure 4, in the step S2, when the personnel that register not are participant, return to step S1 it
Between, process is signed again and again：
Step A1, the control module show that one signs for the personnel of registering in the touch display module
Signature region；
Step A2, the control module register according to personnel it is described signature region signature formed a person's handwriting letter
Breath；
Step A3, the control module match the handwriting information with the person's handwriting that prestores of each participant, and
Judge whether successful match：
If so, the control module generates the information of registering that the personnel that register described in an expression have completed to register, and deposit
It registers described in storage information, subsequently back into step S1；
If it is not, then returning to step S1.
In the step S2, after information of registering described in the control module generation, return to before the step S1, institute
It states control module and generates a welcome message, and the welcome message is shown by the touch display module.
The method that the applied robot of the present invention registers, compared with prior art：
The present invention can greatly short sign-on flow, improve the automatization level registered, save participant's
It registers the time, to which efficiency of registering greatly improved, decreases the waste of the resources such as paper, lifted to greatly reduce meeting
The expense cost for the side of doing.
The foregoing is merely preferred embodiments of the present invention, are not intended to limit embodiments of the present invention and protection model
It encloses, to those skilled in the art, should can appreciate that all with made by description of the invention and diagramatic content
Equivalent replacement and obviously change obtained scheme, should all be included within the scope of the present invention.
Claims (8)
1. a kind of method that applied robot registers, which is characterized in that the robot includes an identification head, the knowledge
Other head includes a touch display module and an image capture module, and the touch display module and described image acquisition module are equal
It is connected with a control module；
It is further comprising the steps of：
Step S1, described image acquisition module acquire face's figure of the personnel that register of preset quantity in a preset collection period
Picture；
Step S2, the control module are identified by a full face described in matching strategy judgement currently according to the face image
Whether the personnel that register are participant：
If so, the control module generates the information of registering that the personnel that register described in an expression have completed to register, and store institute
Information of registering is stated, subsequently back into step S1；
If it is not, then returning to step S1.
2. the method that applied robot according to claim 1 registers, which is characterized in that the full face identification matching
Strategy includes the following steps：
Step S21 extracts the characteristics of image of each face image of the current personnel that register；
Step S22 carries out the described image feature of each face image and the pre-stored characteristics of each participant
Comparison obtains the described image feature of each face image of the current personnel that register and each participant
The pre-stored characteristics similarity；
Step S23 judges that each face image of the current personnel that register is more than one with the presence or absence of the similarity
The pre-stored characteristics of preset first threshold value：
If so, the face image is used as successfully image；
If it is not, then the face image is as failure image；
Step S24 obtains the quantity and the quantity of the failure image of the success image of the current personnel that register
Ratio, and judge whether the ratio is more than preset second threshold value：
If so, the current personnel that register are participant；
If it is not, then the current personnel that register are not participant.
3. the method that applied robot according to claim 2 registers, which is characterized in that the pre-stored characteristics pass through
Following steps obtain：
The standard picture of the face of all participants is pre-stored in one and the control module by step S221, sponsor
Connected memory module；
Step S222, the control module are extracted according to each standard picture described in the face of each participant
Pre-stored characteristics.
4. the method that applied robot according to claim 2 registers, which is characterized in that the pre-stored characteristics packet
It includes：The distance between the width of face, the height of face, eyes and the distance between two ear-lobes.
5. the method that applied robot according to claim 1 registers, which is characterized in that in the step S1,
The collection period is 2s.
6. the method that applied robot according to claim 1 registers, which is characterized in that in the step S1,
The preset quantity is 20.
7. the method that applied robot according to claim 1 registers, which is characterized in that in the step S2,
When the personnel that register are not the participant, before returning to step S1, process is signed again and again：
Step A1, the control module control the touch display module and show one for the personnel of the registering label signed
Name region；
Step A2, the control module register according to personnel it is described signature region signature formed a handwriting information；
Step A3, the control module matches the handwriting information with the person's handwriting that prestores of each participant, and judges
Whether successful match：
If so, the control module generates the information of registering that the personnel that register described in an expression have completed to register, and store institute
Information of registering is stated, subsequently back into step S1；
If it is not, then returning to step S1.
8. the method that applied robot according to claim 1 registers, which is characterized in that in the step S2,
The control module is registered described in generating after information, and the control module generates a welcome message, and by the welcome message
It is shown by the touch display module, then returns again to the step S1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810327701.4A CN108550197A (en) | 2018-04-12 | 2018-04-12 | A kind of method that applied robot registers |
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| CN201810327701.4A CN108550197A (en) | 2018-04-12 | 2018-04-12 | A kind of method that applied robot registers |
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101526992A (en) * | 2008-03-03 | 2009-09-09 | 汉王科技股份有限公司 | Method and device for recognizing handwritten signature and starting system by handwritten signature |
| WO2011089272A1 (en) * | 2010-01-25 | 2011-07-28 | South Bank University Enterprises Limited | Repository for submitted items |
| CN104217467A (en) * | 2014-09-23 | 2014-12-17 | 郑州朗鑫智能电子科技有限公司 | Energy-saving high-efficiency attendance machine |
| CN105844726A (en) * | 2016-03-18 | 2016-08-10 | 吉林大学 | Handwritten signature sign-in management system |
| CN106204775A (en) * | 2016-06-06 | 2016-12-07 | 内蒙古农业大学职业技术学院 | A kind of human face identification work-attendance checking system |
| CN106228628A (en) * | 2016-07-15 | 2016-12-14 | 腾讯科技（深圳）有限公司 | System, the method and apparatus of registering based on recognition of face |
| CN106228629A (en) * | 2016-07-15 | 2016-12-14 | 合肥师范学院 | Register system in a kind of classroom based on recognition of face |
| CN106447814A (en) * | 2016-09-18 | 2017-02-22 | 长沙军鸽软件有限公司 | Method for checking attendance automatically through robot |
| CN106780819A (en) * | 2017-03-03 | 2017-05-31 | 泸州市众信信息技术有限公司 | Can be used for the work attendance punch card system of face recognition |
| CN107680185A (en) * | 2017-09-22 | 2018-02-09 | 芜湖星途机器人科技有限公司 | The method for using robot register in meeting-place |
| CN107895408A (en) * | 2018-01-18 | 2018-04-10 | 成都智答科技有限公司 | A kind of attendance recorder of face identification functions |
-
2018
- 2018-04-12 CN CN201810327701.4A patent/CN108550197A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101526992A (en) * | 2008-03-03 | 2009-09-09 | 汉王科技股份有限公司 | Method and device for recognizing handwritten signature and starting system by handwritten signature |
| WO2011089272A1 (en) * | 2010-01-25 | 2011-07-28 | South Bank University Enterprises Limited | Repository for submitted items |
| CN104217467A (en) * | 2014-09-23 | 2014-12-17 | 郑州朗鑫智能电子科技有限公司 | Energy-saving high-efficiency attendance machine |
| CN105844726A (en) * | 2016-03-18 | 2016-08-10 | 吉林大学 | Handwritten signature sign-in management system |
| CN106204775A (en) * | 2016-06-06 | 2016-12-07 | 内蒙古农业大学职业技术学院 | A kind of human face identification work-attendance checking system |
| CN106228628A (en) * | 2016-07-15 | 2016-12-14 | 腾讯科技（深圳）有限公司 | System, the method and apparatus of registering based on recognition of face |
| CN106228629A (en) * | 2016-07-15 | 2016-12-14 | 合肥师范学院 | Register system in a kind of classroom based on recognition of face |
| CN106447814A (en) * | 2016-09-18 | 2017-02-22 | 长沙军鸽软件有限公司 | Method for checking attendance automatically through robot |
| CN106780819A (en) * | 2017-03-03 | 2017-05-31 | 泸州市众信信息技术有限公司 | Can be used for the work attendance punch card system of face recognition |
| CN107680185A (en) * | 2017-09-22 | 2018-02-09 | 芜湖星途机器人科技有限公司 | The method for using robot register in meeting-place |
| CN107895408A (en) * | 2018-01-18 | 2018-04-10 | 成都智答科技有限公司 | A kind of attendance recorder of face identification functions |
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Application publication date: 20180918 |