CN107808423A - A kind of staff attendance based on service robot is registered system and implementation method - Google Patents
A kind of staff attendance based on service robot is registered system and implementation method Download PDFInfo
- Publication number
- CN107808423A CN107808423A CN201610813869.7A CN201610813869A CN107808423A CN 107808423 A CN107808423 A CN 107808423A CN 201610813869 A CN201610813869 A CN 201610813869A CN 107808423 A CN107808423 A CN 107808423A
- Authority
- CN
- China
- Prior art keywords
- employee
- service robot
- registered
- attendance
- registering
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/02—Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/04—Training, enrolment or model building
Abstract
Registered system the present invention relates to a kind of staff attendance based on service robot, the system is by service-delivery machine human body(Containing loudspeaker), high-definition camera, microphone array, face identification system, Voiceprint Recognition System, storage server, staff attendance system, work attendance register the part of human-computer interaction interface etc. eight composition.Implementation method is that service robot identifies that face and microphone identify two kinds of identification technology schemes of vocal print feature of people by camera, database data of the people that comparison work attendance is registered with have recorded employee's face information and voiceprint, so as to confirm and record the list for the employee that actual work attendance is registered, time of registering, quitting time.The present invention is due to using recognition of face and Application on Voiceprint Recognition composite identification technology, not only ensure that the accuracy of worker's identification, also can effectively prevent employee's allograph from arriving, enterprise can be helped to improve staff attendance system, the managerial skills of effective enterprise.
Description
Technical field
Registered system the present invention relates to a kind of staff attendance based on service robot, the system is by service-delivery machine human body
(Containing loudspeaker), high-definition camera, microphone array, face identification system, Voiceprint Recognition System, storage service unit, Yuan Gongkao
Diligent system, work attendance register the part of human-computer interaction interface etc. eight composition.Implementation method is that service robot identifies people by camera
Face and two kinds of identification technology schemes of vocal print feature of microphone identification people, the people and have recorded employee people that comparison work attendance is registered
The database data of face information and voiceprint, so as to confirm and record the list for the employee that actual work attendance is registered, the time of registering,
Quitting time, and the identity information for the touch display screen association display employee for passing through service robot.
Background technology
Face recognition technology has been a security and guard technology to reach its maturity, and the success rate of identification just constantly improves,
The public arenas such as public security, airport, customs have a wide range of applications, and in service robot field, also have a small number of manufacturers to introduce face
The preliminary face recognition technologies such as seizure, for improving man-machine interaction effect, but have not been used face recognition technology and enter pedestrian's
Identification.Because recognition of face employs information source of the high-definition camera as image, this camera is influenceed by light
It is larger, if focus ring border is not dealt carefully with, it will be unable to ensure the precision of recognition of face, this is also that face recognition technology is general
And the major reason that application is limited.
Sound groove recognition technology in e is gradually grown up with the maturation and popularization of speech recognition technology, part of speech identification
Manufacturer's such as University of Science and Technology's news fly provide the Application on Voiceprint Recognition solution of maturation, and the application having been applied on smart mobile phone
Software account is registered with logging on, and also has a small number of manufacturers of robot attempting to identify by Application on Voiceprint Recognition and remember interactive people
Information.But due to Application on Voiceprint Recognition need from microphone obtain people voiceprint, the acoustic information that microphone captures except
There is the interference such as ambient noise, echo, other voice outside the voice messaging of destination object people, had a strong impact on the effect of Application on Voiceprint Recognition
Fruit even can not obtain valuable voiceprint, individually enter pedestrian using sound groove recognition technology in e in the working environment of reality
The identification of identity be an extremely difficult thing.
The content of the invention
In order to realize that a more preferable friendly, reliable work attendance is registered system in desk job environment, the present invention combines clothes
Business robot body, realized by two kinds of identification technology schemes of vocal print feature of camera identification face and microphone identification people
The work attendance of employee is registered management.This scheme combines the technical advantage of two kinds of identifying schemes of recognition of face and Application on Voiceprint Recognition, more
Both deficiencies are mended:When causing face recognition accuracy to reduce when environment space insufficient light, Application on Voiceprint Recognition is to acquisition
Voiceprint is compared and then lifts final accuracy of identification in detail, equally, when environment space noise jamming can not obtain greatly
During the vocal print sample information got well, the details of recognition of face compare and will lift final accuracy of identification.Two kinds of identification technologies
Application of composite, turn into the guarantee for obtaining high accuracy of identification.
The staff attendance of service robot registers system by service-delivery machine human body(Containing loudspeaker), high-definition camera, Mike
Wind array, face identification system, Voiceprint Recognition System, storage service unit, staff attendance system, work attendance are registered man-machine interaction circle
The part of face etc. eight forms.Implementation method is that service robot identifies that face and microphone identify the vocal print feature of people by camera
Two kinds of identification technology schemes, compare the people that work attendance is registered and provided with have recorded the database of employee's face information and voiceprint
Material, so as to confirm and record the list for the employee that actual work attendance is registered, time of registering, quitting time.
Registered mode the invention has the advantages that a kind of new work attendance easy to use can be provided, the present invention due to
Using recognition of face and Application on Voiceprint Recognition composite identification technology, the accuracy of worker's identification is not only ensure that, also can effectively be prevented
Only employee's allograph is arrived, and enterprise can be helped to improve staff attendance system, the managerial skills of effective enterprise.
Brief description of the drawings
Fig. 1 is robot functional configuration figure.
Fig. 2 is that work attendance is registered human-computer interaction interface.
Fig. 3 is that work attendance is registered working-flow figure.
1. high-definition camera in figure, 2. sound mosquito identifying systems, 3. face identification systems, 4. robot body loudspeaker, 5. deposit
Service unit, 6. staff attendance systems are stored up, 7. work attendances are registered human-computer interaction interface, 8. microphone arrays, 9. employee's photos, and 10.
Employee name, 11. system matches names, 12. this register the time, the recognition methods of 13. this use of registering, 14. normally examine
Diligent/late state warning, 15. register again, 16. service robots.
Embodiment
First, system composition detailed annotation(Such as Fig. 1).
1st, service-delivery machine human body(Containing loudspeaker)It is that the staff attendance of service robot is registered the hardware and software of system
Carrier.The form of service-delivery machine human body is not specifically limited, and is not only suitable for less than 60 centimetres of table-top machine people,
Suitable for more than 1 meter of ground moving type service robot, but for too high(Such as it is higher than 2 meters)Service robot due to shooting
Head and microphone installation site are restricted, and the staff attendance of unsuitable installation service robot is registered system.Service robot
Body needs to be equipped with loudspeaker, and for playing the interactive voice content of service robot expression, loudspeaker are arranged on service robot
The audio amplifier of head or metastomium, the stereo loudspeaker split using left and right or 360 degree of annular spreads.
2nd, high-definition camera is arranged on head or the trunk of service-delivery machine human body.High-definition camera and service robot
The upper mainboard of body interior is connected, and camera information is conveyed into face identification system.
3rd, microphone array is arranged on head or the trunk of service-delivery machine human body, by two and the microphone group of the above
Into.Microphone array is connected with the upper mainboard of service robot body interior, and voice messaging is conveyed into Application on Voiceprint Recognition
System.
4th, storage service unit is by installed in the hard disk of service-delivery machine human body's host computer, flash memory and external mobile storage
Equipment, local web-server and Cloud Server composition, different storage schemes is flexibly selected according to different demands, it is therefore an objective to
Preserve staff attendance data and carry out backup.
5th, staff attendance system.Staff attendance system is an independent system in itself, staff attendance in the present invention
System is for traditional staff attendance system, and the comparison technology scheme that staff attendance is registered changes, by traditional label
To originally register, papery is checked card, fingerprint attendance is checked card be changed into service robot using recognition of face and vocal print recognition combination identification skill
Art carries out active attendance management.
6th, work attendance is registered human-computer interaction interface(Such as Fig. 2)Work attendance is specific to register man-machine interaction circle of flow scheme design
This service is expressed and connected to face, including the limb action of the speech interfaces at robot body end, graphical interfaces, robot
Human-computer interaction interface on the computer of robot, mobile terminal device.Speech interfaces are one and registered business specifically for work attendance
The interaction semantics storehouse of the service-delivery machine person to person of flow scheme design, carried out by service robot according to different situations with voice mode
Expression, including salutatory, operation promptings, operation acknowledgement, register successfully prompt, failure of registering is prompted, operation indicating etc. again.Figure
Shape interface is presented by the touch display screen of service robot, and emphasis is that association display includes its photograph after employee registers successfully
The information such as piece, name, this time of registering, the recognition methods of this use of registering, normal work attendance/late state warning, figure
Employee is supported to carry out the option operations of " registering again ", this option operations by way of finger point touching display screen in interface
There is equivalent effect to " registering again " phonetic order that service robot is sent with employee in speech interfaces.
2nd, work attendance is registered flow.
1 face and voiceprint carry out concentrated collection:
After complete product consigns to enterprise customer, enterprise customer needs to carry out concentration to the face and voiceprint of employee to adopt
Collection, the acquisition method of face is that each employee stands in service robot(15)Front in face of camera keep one timing
Between, camera continuous will take pictures and automatically save most clear photograph;The acquisition method of vocal print is that each employee stands in machine
The front of people, the sentence for the content specified is read out with normal word speed, it is necessary to the sentence content and time length that employee reads out by
System provides after being calculated according to the requirement that can establish differentiation Application on Voiceprint Recognition according to certain algorithm.
2 establish the face of employee and vocal print news file
The data after concentrated collection are carried out according to above-mentioned face and voiceprint, face and voiceprint shelves are established to each employee
Case, preserved with the other information data correlation of employee.
3 work attendances are registered operation(Such as Fig. 3)
The first situation only enables recognition of face, is registered in the work attendance of setting in the period(Or registered the period in non-work attendance
It is interior work attendance is manually booted by employee to register pattern), employee come positioned at company's foregrounding(Or other special positions of registering)
Service robot immediately ahead of, stand 3 seconds or so, service robot accurately matched very much by recognition of face the employee letter
Breath, actively greeting are replied:" good morning, certain so-and-so ".Employee can not have to enable voice dialogue complete a work attendance register it is dynamic
Make, in this case Application on Voiceprint Recognition and not actuated, also fail to be indexed to the voiceprint of the employee.After work attendance is registered successfully, clothes
Business robot display screen association display includes its photo, name, this time of registering, the recognition methods of this use of registering, just
The information such as Chang Kaoqin/late state warning.
Second of situation, while enable recognition of face and Application on Voiceprint Recognition.Registered in the work attendance of setting in the period(Or
Non- work attendance, which is registered, to manually boot work attendance by employee in the period and registers pattern), employee come positioned at company's foregrounding(It is or other
Special position of registering)Service robot immediately ahead of, stand 3 seconds or so, service robot matches this by recognition of face
Simultaneously matching degree is not high for employee information, and in order to ensure the accuracy of identification, robot needs to carry out voice print verification again, at this moment taken
Business robot greets to employee:" hello, may I ask your name" or direct access inquiry " you be certain so-and-so”.Employee needs
With its name on speech form report, or ack/nack replys inquiry problem, such as " I be certain so-and-so ", " I be not certain so-and-so ".
During this interactive voice, robot will carry out Application on Voiceprint Recognition to voice messaging, contrast the sound in employee's voice print database
Line information matches go out the name of the employee, when matching name is consistent with employee from report name, service robot speech answering
Welcoming address, confirmation are once registered information, and the association display of service robot touch display screen includes its photo, name, this registers
The information such as time, the recognition methods of this use of registering, normal work attendance/late state warning;When without matching name or matching
Name and employee from when reporting name not to be consistent, service robot with your Application on Voiceprint Recognition information of voice message and your name not
Symbol, service robot display screen association display include collected photo, employee from report name, system matches name, this
Register the time, this use of registering recognition methods, fail the reason for registering, system using information above as one not into
The record of registering of work(preserves for future reference., allow employee to be assigned " registering again " to service robot with voice mode in this case
Name clicks on " registering again " in touch display screen, re-starts operation of registering, and the information for acquisition of registering again will cover
Previous bar record information.
The third situation, scan and preserve the face information in face of by service robot.Registered the period in non-work attendance
Interior and service robot not by employee manually boot to work attendance register pattern when, service robot starts camera real time scan point
Analyse the facial information of the people passed through from front, and preserved, when can match employee name, while with staff attendance data
Storehouse associates;Employee name can not be matched, it is for future reference with time series preservation as random information.
Claims (10)
1. being registered system the present invention relates to a kind of staff attendance based on service robot, the system is by service-delivery machine human body
(Containing loudspeaker), high-definition camera, microphone array, face identification system, Voiceprint Recognition System, storage server, staff attendance
System, work attendance register the part of human-computer interaction interface etc. eight composition;Implementation method be service robot by face identification system and
Two kinds of identification technology schemes of Voiceprint Recognition System, compare the people that work attendance is registered and believe with have recorded employee's face information with vocal print
The database data of breath, so as to confirm and record the list for the employee that actual work attendance is registered, time of registering, quitting time;It is man-machine
Interactive interface can carry out the operation indicating of interactive voice and graphical interaction to user.
The system 2. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:The system was both fitted
For less than 60 centimetres of desktop type service robot, more than 1 meter of ground moving type service robot is also applied for, carrying should
The service robot of system is placed on enterprise office receptionist region.
The system 3. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:The system is by taking
Business robot body(Containing loudspeaker), high-definition camera, microphone array, face identification system, Voiceprint Recognition System, storage service
Device, staff attendance system, work attendance are registered the part of human-computer interaction interface etc. eight composition.
The system 4. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:The system is simultaneously
Using two kinds of identification technology schemes:Service robot identifies that face, service robot identify people by microphone by camera
Vocal print feature.
The system 5. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:Enterprise customer exists
Using before system, it is necessary to which face to employee and voiceprint carry out concentrated collection and established to have recorded employee's face information and sound
The database of line information.
The system 6. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:Registered in work attendance
In time, employee should individually stand and be registered in the front of service robot.
The system 7. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:Robot will sign
Face information to employee is carried out with voiceprint and employee's face information of system record and the database data of voiceprint
Compare, so as to confirm worker and record the list for the employee that actual work attendance is registered, time of registering, quitting time.
The system 8. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:In non-work attendance label
In to the period and service robot not by employee manually boot to work attendance register pattern when, it is real that service robot starts camera
When the facial information of people that passes through from front of scanning analysis, and preserved, when can match employee name, while and employee
Attendance data storehouse associates;Employee name can not be matched, it is for future reference with time series preservation as random information.
The system 9. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:Man-machine interaction circle
Face have one specifically for work attendance register business Process Design service-delivery machine person to person interaction semantics storehouse, by service robot
Expressed according to different situations with voice mode, including salutatory, operation prompting, operation acknowledgement, register successfully prompting, label
To unsuccessfully prompting, again operation indicating etc.;Speech interfaces support employee to assign the startup weight of " registering again " order by voice
New flow of registering.
The system 10. staff attendance according to claim 1 based on service robot is registered, it is characterized in that:The system has
The graphical interfaces specially designed, graphical interfaces are presented by the touch display screen of service robot, and employee is closed after registering successfully
Connection display includes its photo, name, this time of registering, the recognition methods of this use of registering, normal work attendance/late state police
The information such as show;Employee register when successfully photo that association display includes having collected, employee from report name, system matches name,
This time of registering, this use of registering recognition methods, fail the reason for registering;Graphical interfaces supports employee to pass through hand
Give directions the mode for hitting touch display screen to carry out the option operations of " registering again ", start flow of registering again.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610813869.7A CN107808423A (en) | 2016-09-09 | 2016-09-09 | A kind of staff attendance based on service robot is registered system and implementation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610813869.7A CN107808423A (en) | 2016-09-09 | 2016-09-09 | A kind of staff attendance based on service robot is registered system and implementation method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107808423A true CN107808423A (en) | 2018-03-16 |
Family
ID=61569600
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610813869.7A Pending CN107808423A (en) | 2016-09-09 | 2016-09-09 | A kind of staff attendance based on service robot is registered system and implementation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107808423A (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108537910A (en) * | 2018-04-13 | 2018-09-14 | 上海思依暄机器人科技股份有限公司 | A kind of employee work attendance method, device and Work attendance management system based on recognition of face |
CN108629024A (en) * | 2018-05-09 | 2018-10-09 | 王泽普 | A kind of teaching Work attendance method based on voice recognition |
CN108732948A (en) * | 2018-03-21 | 2018-11-02 | 北京猎户星空科技有限公司 | Smart machine control method, device, smart machine and medium |
CN108876951A (en) * | 2018-06-13 | 2018-11-23 | 贾成举 | A kind of teaching Work attendance method based on voice recognition |
CN108932489A (en) * | 2018-06-25 | 2018-12-04 | 李娜 | Face recognition feasibility analysis system |
CN109215153A (en) * | 2018-09-05 | 2019-01-15 | 航天信息股份有限公司 | Work attendance method and device |
CN109215156A (en) * | 2018-11-21 | 2019-01-15 | 佛山科学技术学院 | The web Page type attendant machine remotely controlled |
CN109262628A (en) * | 2018-11-01 | 2019-01-25 | 深圳市三宝创新智能有限公司 | A kind of intelligent robot equipment and method of servicing with foreground function |
CN109377580A (en) * | 2018-10-11 | 2019-02-22 | 上海思依暄机器人科技股份有限公司 | A kind of attendance checking system |
CN109657624A (en) * | 2018-12-21 | 2019-04-19 | 秒针信息技术有限公司 | Monitoring method, the device and system of target object |
CN110390938A (en) * | 2018-04-20 | 2019-10-29 | 比亚迪股份有限公司 | Method of speech processing, device and terminal device based on vocal print |
CN110555918A (en) * | 2018-06-01 | 2019-12-10 | 杭州海康威视数字技术股份有限公司 | Attendance management method and attendance management equipment |
-
2016
- 2016-09-09 CN CN201610813869.7A patent/CN107808423A/en active Pending
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108732948A (en) * | 2018-03-21 | 2018-11-02 | 北京猎户星空科技有限公司 | Smart machine control method, device, smart machine and medium |
CN108537910A (en) * | 2018-04-13 | 2018-09-14 | 上海思依暄机器人科技股份有限公司 | A kind of employee work attendance method, device and Work attendance management system based on recognition of face |
CN110390938A (en) * | 2018-04-20 | 2019-10-29 | 比亚迪股份有限公司 | Method of speech processing, device and terminal device based on vocal print |
CN108629024A (en) * | 2018-05-09 | 2018-10-09 | 王泽普 | A kind of teaching Work attendance method based on voice recognition |
CN110555918A (en) * | 2018-06-01 | 2019-12-10 | 杭州海康威视数字技术股份有限公司 | Attendance management method and attendance management equipment |
CN108876951A (en) * | 2018-06-13 | 2018-11-23 | 贾成举 | A kind of teaching Work attendance method based on voice recognition |
CN108932489A (en) * | 2018-06-25 | 2018-12-04 | 李娜 | Face recognition feasibility analysis system |
CN109215153A (en) * | 2018-09-05 | 2019-01-15 | 航天信息股份有限公司 | Work attendance method and device |
CN109377580A (en) * | 2018-10-11 | 2019-02-22 | 上海思依暄机器人科技股份有限公司 | A kind of attendance checking system |
CN109262628A (en) * | 2018-11-01 | 2019-01-25 | 深圳市三宝创新智能有限公司 | A kind of intelligent robot equipment and method of servicing with foreground function |
CN109215156A (en) * | 2018-11-21 | 2019-01-15 | 佛山科学技术学院 | The web Page type attendant machine remotely controlled |
CN109657624A (en) * | 2018-12-21 | 2019-04-19 | 秒针信息技术有限公司 | Monitoring method, the device and system of target object |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107808423A (en) | A kind of staff attendance based on service robot is registered system and implementation method | |
CN106657865A (en) | Method and device for generating conference summary and video conference system | |
CN117577099A (en) | Method, system and medium for multi-user authentication on a device | |
CN112037791B (en) | Conference summary transcription method, apparatus and storage medium | |
EP0495622A2 (en) | Indexing of data sets | |
CN107680019A (en) | A kind of implementation method of Examination Scheme, device, equipment and storage medium | |
CN107507289A (en) | A kind of mobile terminal human face identification work-attendance checking method and system | |
CN105872185A (en) | Information prompting method, device and system | |
CN104538034A (en) | Voice recognition method and system | |
US9519827B2 (en) | Personalized, automated receptionist | |
CN106157957A (en) | Audio recognition method, device and subscriber equipment | |
WO2017084591A1 (en) | Identification method and device for malicious call | |
CN103076879A (en) | Multimedia interaction method and device based on face information, and terminal | |
EP3772016A1 (en) | Method and apparatus for entering human face information into database | |
CN104183238A (en) | Old people voiceprint recognition method based on questioning and answering | |
JP2022523921A (en) | Liveness detection and verification method, biological detection and verification system, recording medium, and training method for biological detection and verification system. | |
CN110096251A (en) | Exchange method and device | |
CN116246610A (en) | Conference record generation method and system based on multi-mode identification | |
CN110941992B (en) | Smile expression detection method and device, computer equipment and storage medium | |
JPWO2021211836A5 (en) | ||
CN207752530U (en) | A kind of meeting signature device | |
CN112581967B (en) | Voiceprint retrieval method, front-end back-end server and back-end server | |
CN110188364A (en) | Interpretation method, equipment and computer readable storage medium based on intelligent glasses | |
CN109215152A (en) | Intelligence is registered method, apparatus, intelligent elevated table and storage medium | |
JP2019192092A (en) | Conference support device, conference support system, conference support method, and program |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180316 |
|
WD01 | Invention patent application deemed withdrawn after publication |