CN107633564A - Monitoring method and Internet of Things server based on image - Google Patents
Monitoring method and Internet of Things server based on image Download PDFInfo
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- CN107633564A CN107633564A CN201710783547.7A CN201710783547A CN107633564A CN 107633564 A CN107633564 A CN 107633564A CN 201710783547 A CN201710783547 A CN 201710783547A CN 107633564 A CN107633564 A CN 107633564A
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Abstract
The invention discloses a kind of monitoring method based on image, including：Internet of Things server receive Work attendance device send work attendance request, work attendance request include Work attendance device image acquisition units gathered in the booting computer of employee or when shutting down the employee M open face images；Internet of Things server obtains the target face image of employee from the M face images；Internet of Things server is matched target face image with pre-stored face image template；When target face image and face image template match, then Internet of Things server generates the attendance record of employee；Internet of Things server Work attendance device and the terminal device of employee send work attendance success response, to inform staff attendance success.The embodiment of the present invention additionally provides a kind of Internet of Things server.Not only contribute to solve the problems, such as that employee is lined up work attendance using the embodiment of the present invention, can also avoid the occurrence of that employee forgets work attendance.
Description
Technical field
The present invention relates to internet of things field, more particularly to a kind of monitoring method and Internet of Things service based on image
Device.
Background technology
Attendance management is the important step of enterprises and institutions employee, and scientific and reasonable system of attendance is the weight of Corporation Instructions
Embody, and can be as the important reference of staff performance evaluation.
The work attendance of early stage typically sets up attendance record, employee's working by the way of manual record on doorway or office
With come off duty be required for registering on attendance record with it is sign-out.Because this Work attendance method has the drawbacks of allograph, and it is unfavorable for uniting
Meter, with the development of science and technology this Work attendance method is substituted by the Work attendance method of a new generation.
Current most of enterprises and institutions are to set up punched-card machine, fingerprint attendance machine or face on unit doorway by the way of
Attendance recorder is identified, these three work attendance modes require that employee carries out work attendance within the defined period in specified place.Therefore
The occurrence of being lined up work attendance can be produced when work attendance people is more, not only wastes the time of employee, while as be lined up
And cause employee can not work attendance on time.
The content of the invention
The embodiment of the present invention provides a kind of monitoring method and Internet of Things server based on image, advantageously accounts for employee row
The problem of team's work attendance, it can also avoid the occurrence of that employee forgets work attendance.
In a first aspect, the embodiment of the present invention provides a kind of monitoring method based on image, including：
Internet of Things server receives the work attendance request that Work attendance device is sent, and the work attendance request includes the Work attendance device
Image acquisition units gather the M face images of the employee in the booting computer of employee or when shutting down；
The Internet of Things server obtains the target face image of the employee from the M face images；
When the target face image and the face image template match, then described in the Internet of Things server generation
The attendance record of employee；
The Internet of Things server sends work attendance success response to the Work attendance device and the terminal device of the employee.
In a kind of feasible embodiment, the Internet of Things server obtains the employee from the M face images
Target face image, including：
The Internet of Things server obtains the resolution ratio of each face image in the M face image；
The Internet of Things server chooses N face images of resolution ratio highest from the M face images, as institute
State the target face image of employee.
In a kind of feasible embodiment, the image acquisition units of Work attendance device are gathering M face's figures of the employee
Before picture, methods described also includes：
The Internet of Things server sends prompting message to the Work attendance device, and the prompting message is used to remind the member
Work proceeds by face image collection.
In a kind of feasible embodiment, when the target face image matches with the face image template, then
The Internet of Things server generates the attendance record of the employee, including：
The Internet of Things server obtains characteristic point and the face in each face image of the N face image
The characteristic point of portion's image template；
The Internet of Things server by each characteristic point in each face image of the N face images with it is described
Corresponding characteristic point is matched one by one in face image template；
It is big to obtain characteristic point and the quantity that the characteristic point in the face image template matches in the N face images
In or equal to the first predetermined threshold value face image quantity；
When the quantity of the face image is more than or equal to the second predetermined threshold value, the Internet of Things server generates institute
State the attendance record of employee.
In a kind of feasible embodiment, the Internet of Things server schemes each face of the N face images
Each characteristic point as in is matched one by one with corresponding characteristic point in the face image template, including：
The Internet of Things server is using the preset of the face image template as origin, in the face image template
Establish the first reference axis；
The Internet of Things server obtains the coordinate of the characteristic point in the face image template；
The Internet of Things server is using the preset identical point with the face image template as origin, in face image
The second reference axis is established on A；
The Internet of Things server obtains the coordinate of the characteristic point in face image A；
The Internet of Things server clicks through coordinate identical feature in the face image template and the face image A
Row matching；
Wherein, the face image A is any one in the N face images, the transverse axis of first reference axis
Coordinate unit it is identical with the coordinate unit of the transverse axis of second reference axis, the coordinate unit of the longitudinal axis of first reference axis
It is identical with the coordinate unit of the longitudinal axis of second reference axis.
In a kind of feasible embodiment, the Internet of Things server is by the target face image and face image template
Matched, when the target face image matches with face image template, then the Internet of Things server generates the member
The attendance record of work, including：
The N face images are divided into n groups by the Internet of Things server, and the n is less than or equal to N；
The Internet of Things server obtains in n group face images the characteristic point of each face image and the face image
The characteristic point of template；
The Internet of Things server according to packet by the characteristic point of the n groups face image and meanwhile with the face image mould
Corresponding characteristic point is matched one by one in plate；
When the characteristic point of any one face image in the n groups face image any one group and the face image mould
When the quantity that the characteristic point of plate matches is more than or equal to predetermined threshold value, then the Internet of Things server determines the target face
Image matches with face image template, generates the attendance record of the employee.
In a kind of feasible embodiment, methods described also includes：
When the characteristic point phase of the characteristic point and the face image template of each face image of the N face images
When the quantity of matching is respectively less than the predetermined threshold value, the Internet of Things server is to the Work attendance device and the terminal of the employee
Equipment sends a warning message；
Wherein, the warning information is used to inform the staff attendance failure, resurveys M face's figures of the employee
Picture.
Second aspect, the embodiments of the invention provide a kind of Internet of Things server, including：
Receiving module, for receiving the work attendance request of Work attendance device transmission, the work attendance request includes the Work attendance device
Image acquisition units gather the M face images of the employee in the booting computer of employee or when shutting down, the M be more than
Or equal to 1；
Acquisition module, for obtaining the target face image of the employee from the M face images；
Generation module, for matching when the target face image and the face image template, then generate the member
The attendance record of work；
First sending module, for sending work attendance success response to the Work attendance device and the terminal device of the employee.
In a kind of feasible embodiment, the acquisition module includes：
Acquiring unit, for obtaining the resolution ratio of each face image in the M face images；
Unit is chosen, for choosing N face images of resolution ratio highest from the M face images, as described
The target face image of employee, wherein, the N is less than the M.
In a kind of feasible embodiment, the image acquisition units of Work attendance device are gathering M face's figures of the employee
Before picture, the Internet of Things server also includes：
Second sending module, for sending prompting message to the Work attendance device, the prompting message is described for reminding
Employee proceeds by face image collection.
In a kind of feasible embodiment, the generation module includes：
First acquisition unit, obtain the characteristic point in each face image of the N face images and the face
The characteristic point of image template；
Matching unit, for by each characteristic point in each face image of the N face images and the face
Corresponding characteristic point is matched one by one in portion's image template；
Second acquisition unit, for obtaining characteristic point and the spy in the face image template in the N face images
The quantity that sign point matches is more than or equal to the quantity of the face image of the first predetermined threshold value；
Generation unit, for generating the member when the quantity of the face image is more than or equal to the second predetermined threshold value
The attendance record of work.
In one kind it is possible that in embodiment, matching unit also includes：
First establishes subelement, for using the preset of the face image template as origin, in the face image mould
The first reference axis is established on plate；
First obtains subelement, for obtaining the coordinate of the characteristic point in the face image template；
Second establishes subelement, for using the preset identical point with the face image template as origin, in face
The second reference axis is established on image A；
Second obtains subelement, for obtaining the coordinate of the characteristic point in face image A；
Coupling subelement, for coordinate identical feature in the face image template and the face image A to be clicked through
Row matching；
Wherein, the face image A is any one in the N face images, the transverse axis of first reference axis
Coordinate unit it is identical with the coordinate unit of the transverse axis of second reference axis, the coordinate unit of the longitudinal axis of first reference axis
It is identical with the coordinate unit of the longitudinal axis of second reference axis.
In a kind of feasible embodiment, the Internet of Things server also includes：
3rd transmitting element, characteristic point and the face for each face image when the N face images
When the quantity that the characteristic point of image template matches is respectively less than the predetermined threshold value, to the Work attendance device and the end of the employee
End equipment sends a warning message；
Wherein, the warning information is used to inform the staff attendance failure, resurveys M face's figures of the employee
Picture.
As can be seen that in the scheme of the embodiment of the present invention, above-mentioned Work attendance device is in employee's booting computer or shutdown
When gather employee M face images, and M face images are sent to Internet of Things server, Internet of Things server is from M faces
Target face image is obtained in image, is finally matched target face image with pre-stored face image template, if
The attendance record of employee is then generated with success.By carrying out work attendance operation when monitoring that employee's computer is in start or shutdown,
The problem of employee is lined up work attendance is advantageously accounted for, the efficiency of work attendance is improved, employee can also be avoided to forget the hair of work attendance situation
It is raw.
The aspects of the invention or other aspects can more straightforwards in the following description.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of Internet of Things network architecture schematic diagram provided in an embodiment of the present invention；
Fig. 2 is a kind of monitoring method schematic flow sheet based on image provided in an embodiment of the present invention；
Fig. 3 is a kind of monitoring method interactive mode schematic flow sheet based on image provided in an embodiment of the present invention；
Fig. 4 is a kind of Internet of Things server structural representation provided in an embodiment of the present invention；
Fig. 5 is a kind of Internet of Things server partial structural diagram provided in an embodiment of the present invention；
Fig. 6 is another Internet of Things server partial structural diagram provided in an embodiment of the present invention；
Fig. 7 is another Internet of Things server partial structural diagram provided in an embodiment of the present invention；
Fig. 8 is another Internet of Things server structural representation provided in an embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, it should all belong to the model that the present invention protects
Enclose.
It is described in detail individually below.
Term " first ", " second ", " the 3rd " in description and claims of this specification and the accompanying drawing and "
Four " etc. be to be used to distinguish different objects, rather than for describing particular order.In addition, term " comprising " and " having " and it
Any deformation, it is intended that cover non-exclusive include.Such as contain the process of series of steps or unit, method, be
The step of system, product or equipment are not limited to list or unit, but alternatively also including the step of not listing or list
Member, or alternatively also include for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can wrap in conjunction with the embodiments
In at least one embodiment of the present invention.The phrase, which occurs, in each position in the description might not each mean phase
The embodiment matched somebody with somebody, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art are explicitly
Implicitly understand, embodiment described herein can be combined with other embodiments.
Embodiments herein is described below in conjunction with the accompanying drawings.
A kind of according to an aspect of the invention, there is provided monitoring method based on image.Wherein, this method is applied such as
In Internet of Things network architecture shown in Fig. 1, as shown in figure 1, the Internet of Things network architecture includes Internet of Things server 10 and employee
The connected Work attendance device 20 and terminal device 30 of computer.Wherein, Work attendance device 20 wirelessly with Internet of Things server
10 connections, Internet of Things server 10 is connected by internet or mobile network with terminal device 30, and above-mentioned wireless mode is included but not
It is limited to：The mode such as bluetooth, WIFI, ZigBee, GPRS, 3G, 4G, WiMax.
The gateway of Internet of Things server 10 or Internet of Things access point.Gateway (Gateway) be also known as gateway,
Protocol converter.Gateway is most complicated network interconnection apparatus, network interconnection, is only used for two high levels in Internet implementation above network interconnection
The different network interconnection of agreement.Gateway both can be used for wide area network interconnection, can be used for local area network interconnection.Gateway is that one kind is filled
When the computer system or equipment of conversion important task.Using in different communication protocol, data format or language, or even architecture
Between two kinds of entirely different systems, gateway is a translater.Simply simply reception and registration information is different from bridge, and gateway is to receiving
To information to repack, with the demand of adaptation to end system.Internet of Things access point refer to incorporate wireless network access points and
The intelligent information that RFID access points are integrated receives and sent equipment, and Internet of Things access point can receive and send simultaneously WIFI letters
Number and RFID signal.
Terminal device 30, also referred to as user equipment (User Equipment, UE), are that one kind provides a user voice
And/or the equipment of data connectivity, for example, portable equipment, mobile unit with wireless connecting function etc..Common terminal
Such as including：Mobile phone, tablet personal computer, notebook computer, palm PC, mobile internet device (mobile internet
Device, MID), wearable device, such as intelligent watch, Intelligent bracelet, pedometer etc..
Above-mentioned Work attendance device gathers the face image of the employee in the booting computer of employee and when shutting down, state then up
Internet of Things server, which is sent, to be included the work attendance of the face image of above-mentioned employee and asks, and the Internet of Things server is by the face of above-mentioned employee
Portion's image is matched with face image template, if the match is successful, the Internet of Things server generates the attendance record of the employee,
And work attendance success response is sent to above-mentioned Work attendance device and terminal device, to inform above-mentioned staff attendance success.
Fig. 2 is referred to, Fig. 2 is a kind of schematic flow sheet of the monitoring method based on image provided in an embodiment of the present invention.
As shown in Fig. 2 this method comprises the following steps：
S201, Internet of Things server receive the work attendance request that Work attendance device is sent, and the work attendance request includes the work attendance
The image acquisition units of device gather the M face images of the employee in the booting computer of employee or when shutting down.
Wherein, above-mentioned Work attendance device is connected with the supply unit of above-mentioned employee's computer, and the Work attendance device can pass through power supply
The power supply state of device determines the working condition of above-mentioned employee's computer.
Specifically, when the supply unit for detecting above-mentioned employee's computer enters power supply state, above-mentioned work attendance from off-position
Device determines that above-mentioned employee's computer is in open state, and employee, which goes to work, to start working, and the face image for starting to gather the employee enters
Row work attendance；When the supply unit for detecting above-mentioned employee's computer slowly enters off-position from power supply state, the Work attendance device is true
Fixed above-mentioned member's computer is in off-mode, and employee comes off duty, and starts to gather employee's face image progress work attendance.
When the supply unit for detecting above-mentioned employee's computer rapidly enters off-position, above-mentioned Work attendance device from power supply state
Determine that above-mentioned employee's computer is in forced shutdown state, operated without work attendance.
S202, the Internet of Things server obtain the target face image of the employee from the M face images.
Wherein, the Internet of Things server obtains the target face image of the employee, bag from the M face images
Include：
The Internet of Things server obtains the resolution ratio of each face image in the M face image；
The Internet of Things server chooses N face images of resolution ratio highest from the M face images, as institute
State the target face image of employee.
Alternatively, above-mentioned Internet of Things server chooses N face images of resolution ratio highest from above-mentioned M face images
Afterwards, the Internet of Things server stores the face image in above-mentioned M face images in addition to above-mentioned N face images from it
Deleted in device, to improve the speed of service of above-mentioned Internet of Things server.
S203, match when the target face image and the face image template, then the Internet of Things server life
Into the attendance record of the employee.
Wherein, above-mentioned work attendance request also includes the identity of above-mentioned employee, in above-mentioned Internet of Things server by above-mentioned mesh
Before mark face image is matched with above-mentioned face image template, above-mentioned Internet of Things server is according to the identity of the employee
The face image template of the employee is chosen from face image template database.
Above-mentioned face image template is above-mentioned employee in the last frontal one image gathered.Above-mentioned Internet of Things clothes
It is engaged in gathering the frontal one image of an employee in device each season, as the face image template of employee, and is stored in above-mentioned Internet of Things
In the face image template database of network server, with keep accuracy when above-mentioned Internet of Things server carries out matching operation and
High efficiency.Wherein, the Internet of Things server is matched the target face image with face image template, when the mesh
Mark face image matches with face image template, then the Internet of Things server generates the attendance record of the employee, including：
The Internet of Things server obtains characteristic point and the face in each face image of the N face image
The characteristic point of portion's image template；
The Internet of Things server by each characteristic point in each face image of the N face images with it is described
Corresponding characteristic point is matched one by one in face image template；
When the feature of the characteristic point and the face image template of any one face image in the N face images
When the quantity that point matches is more than or equal to predetermined threshold value, then the Internet of Things server determines the target face image and face
Portion's image template matches, and generates the attendance record of the employee.
Alternatively, when above-mentioned Internet of Things server determines N1 in above-mentioned N face images and above-mentioned face image
After template matches and generates the attendance record of above-mentioned employee, then above-mentioned Internet of Things server stops to above-mentioned N face images
In the face image that is not matched carry out matching operation, above-mentioned N1 is less than or equal to above-mentioned N.
Wherein, the characteristic point of above-mentioned face image includes interpupillary distance, the distance for being wired to nose, the shape of mouth of two eyes
Shape, the shape of eyes and face mask etc..
Alternatively, when the N opens the characteristic point of each face image of face image and the face image template
When the quantity that characteristic point matches is respectively less than the predetermined threshold value, the Internet of Things server is to the Work attendance device and the member
The terminal device of work sends a warning message；
Wherein, the warning information is used to inform the staff attendance failure, resurveys M face's figures of the employee
Picture.
Illustrate, it is assumed that above-mentioned predetermined threshold value is 4, and above-mentioned N is 6, i.e., above-mentioned target face image includes 6 above-mentioned members
The face image of work.The characteristic point for the face image that above-mentioned Internet of Things server obtains includes interpupillary distance, two eyes are wired to
The distance of nose, the shape of mouth, the shape of eyes and face mask.Above-mentioned Internet of Things server is by above-mentioned 6 face images
In each face image characteristic point with above-mentioned face image template corresponding characteristic point carry out one by one matching be by
The interpupillary distances of above-mentioned 6 face images and the interpupillary distance in above-mentioned face image template, the distance for being wired to nose of two eyes with
The distances for being wired to nose of two eyes, the shape of the shape of mouth and mouth, shape, the face of the shape of eyes and eyes
Profile is matched respectively with face mask.
When above-mentioned Internet of Things server is by above-mentioned 6 face images characteristic point with above-mentioned face image template in sequence
Matched.When above-mentioned Internet of Things server determine the characteristic point of the 3rd face image in above-mentioned 6 face images with it is above-mentioned
When the quantity that the characteristic point of face image template matches is 4, the quantitative value (4) is equal to predetermined threshold value (4), then above-mentioned Internet of Things
Server generates the attendance record of above-mentioned employee, and stops to the 4th, 5,6 face image in above-mentioned 6 face images
With operation, the work attendance efficiency of employee can further improve.
Alternatively, when the target face image and the face image template match, then the Internet of Things service
Device generates the attendance record of the employee, including：
The Internet of Things server obtains characteristic point and the face in each face image of the N face image
The characteristic point of portion's image template；
The Internet of Things server by each characteristic point in each face image of the N face images with it is described
Corresponding characteristic point is matched one by one in face image template；
Obtain the quantity that characteristic point matches with the characteristic point in face image template in the N face images be more than or
Person is equal to the quantity of the face image of the first predetermined threshold value；
When the quantity of the face image is more than or equal to the second predetermined threshold value, the Internet of Things server generates institute
State the attendance record of employee.
Specifically, above-mentioned Internet of Things server includes a counter, and above-mentioned N is opened face image by the Internet of Things server
Each characteristic point in each face image is matched one by one with corresponding characteristic point in above-mentioned face image template.Whenever
Characteristic point is more than or equal to first with the quantity that the characteristic point in above-mentioned face image template matches and preset in face image
During threshold value, above-mentioned counter carries out a counting operation, until above-mentioned N face images are carried out with above-mentioned face image template
Matching.
Above-mentioned Internet of Things server obtains characteristic point and face image template in above-mentioned N face images according to the method described above
In the quantity that matches of characteristic point be more than or equal to the first predetermined threshold value face image quantity.When above-mentioned face image
Quantity when being more than or equal to above-mentioned second predetermined threshold value, above-mentioned Internet of Things server confirm above-mentioned target face image with it is upper
Face image template matches are stated, generate the attendance record of above-mentioned employee.
Further, the Internet of Things server opens the N each spy in each face image of face image
Sign point is matched one by one with corresponding characteristic point in the face image template, including：
The Internet of Things server is using the preset of the face image template as origin, in the face image template
Establish the first reference axis；
The Internet of Things server obtains the coordinate of the characteristic point in the face image template；
The Internet of Things server is using the preset identical point with the face image template as origin, in face image
The second reference axis is established on A；
The Internet of Things server obtains the coordinate of the characteristic point in the face image A；
The Internet of Things server clicks through coordinate identical feature in the face image template and the face image A
Row matching；
Wherein, the face image A is any one in the N face images, the transverse axis of first reference axis
Coordinate unit it is identical with the coordinate unit of the transverse axis of second reference axis, the coordinate unit of the longitudinal axis of first reference axis
It is identical with the coordinate unit of the longitudinal axis of second reference axis.
Specifically, above-mentioned Internet of Things server is using the preset of above-mentioned face image template as origin, in the face image
Template is above-mentioned to establish the first reference axis, obtains coordinate of the characteristic point in first reference axis in the face image；Then with
With the relative position identical point of the origin of above-mentioned first reference axis, on above-mentioned face image A, above-mentioned second coordinate is established
Axle, and obtain the coordinate of the characteristic point in face image A.Above-mentioned Internet of Things server is by above-mentioned face image template and above-mentioned face
Coordinate identical characteristic point is matched in portion image A.
It should be noted that before the second reference axis is established, above-mentioned Internet of Things server by face image A be converted into
The size identical image of above-mentioned face image template.
Alternatively, the preset of above-mentioned face image template can be the central point of above-mentioned face image template；Can also be should
The summit in the lower left corner of face image target；It can also be the summit in the upper left corner of the face image target；Can also be that the face schemes
As the summit in the lower right corner of target；It can also be the summit in the upper right corner of the face image target.
Specifically, when the origin of above-mentioned first reference axis is the central point of above-mentioned face image template, above-mentioned second sits
The origin of parameter is above-mentioned face image A central point；When the origin of above-mentioned first reference axis is above-mentioned face image template
During the summit in the lower left corner, the origin of above-mentioned second reference axis is the summit in the above-mentioned face image A lower left corner；When the above-mentioned first seat
When the origin of parameter is the summit in the lower right corner of above-mentioned face image template, the origin of above-mentioned second reference axis is that above-mentioned face schemes
As the summit in the A lower right corner；When the origin of above-mentioned first reference axis is the summit in the upper left corner of above-mentioned face image template, on
The summit in the upper left corner that the origin for stating the second reference axis is above-mentioned face image A；When the origin of above-mentioned first reference axis is above-mentioned
During the summit in the upper right corner of face image template, the origin of above-mentioned second reference axis is the top in the above-mentioned face image A upper right corner
Point.
Alternatively, above-mentioned Internet of Things server is matched above-mentioned target face image with face image template, when upper
Target face image is stated with face image template to when matching, above-mentioned Internet of Things server generates the attendance record of above-mentioned employee,
Including：
Above-mentioned N face images are divided into n groups by above-mentioned Internet of Things server, and the n is less than or equal to N；
Above-mentioned Internet of Things server obtains in n group face images the characteristic point of each face image and above-mentioned face image
The characteristic point of template；
Above-mentioned Internet of Things server according to packet by the characteristic point of above-mentioned n groups face image and meanwhile with above-mentioned face image mould
Corresponding characteristic point is matched one by one in plate；
When the characteristic point of any one face image in above-mentioned n groups face image any one group and above-mentioned face image mould
When the quantity that the characteristic point of plate matches is more than or equal to predetermined threshold value, then above-mentioned Internet of Things server determines above-mentioned target face
Image matches with face image template, generates the attendance record of above-mentioned employee.
Illustrate, it is assumed that above-mentioned predetermined threshold value is 4, and above-mentioned N is 6, i.e., above-mentioned target face image includes 6 above-mentioned members
The face image of work.Above-mentioned 6 face images are arbitrarily divided into 2 groups by above-mentioned Internet of Things server, referred to as first group and second group,
Every group includes 3 face images.Above-mentioned Internet of Things server according to packet by the characteristic point of above-mentioned 2 groups of face images simultaneously with it is upper
State corresponding characteristic point in face image template to be matched one by one, i.e., above-mentioned Internet of Things server is by above-mentioned face image template
Characteristic point simultaneously with any face in the character pair point and second group of any face image in above-mentioned first group
The character pair point of image carries out matching one by one and (can be understood as above-mentioned Internet of Things server by above-mentioned face image template simultaneously
Matching operation is carried out with two pictures in above-mentioned 6 pictures, the matching operation is that corresponding characteristic point contrasts one by one).It is this
Mode can improve the efficiency that above-mentioned Internet of Things server carries out face image matching.
Above-mentioned Internet of Things server confirmed any face image in above-mentioned 2 groups and above-mentioned face image template at that time
With success, then above-mentioned Internet of Things server generates the attendance record of above-mentioned employee, and to the Time Attendance Device and terminal of above-mentioned employee
Equipment sends work attendance success response.
S204, the Internet of Things server send work attendance to the Work attendance device and the terminal device of the employee and successfully rung
Should, to inform the staff attendance success.
Specifically, when above-mentioned Internet of Things server go to work work attendance operation, the Internet of Things server is to above-mentioned work attendance
Device sends work attendance success response, is asked with responding above-mentioned work attendance；When above-mentioned Internet of Things server come off duty work attendance operation,
The Internet of Things server sends work attendance success response to the terminal device of above-mentioned employee, to inform above-mentioned staff attendance success.
Alternatively, when the characteristic point of each face image in above-mentioned N face images and above-mentioned face image template are special
When the quantity that matches of sign point is less than above-mentioned predetermined threshold value, above-mentioned Internet of Things server is to above-mentioned Work attendance device and above-mentioned employee
Terminal device sends a warning message, and the warning information is used to inform the staff attendance failure, resurveys M of the employee
Face image.
Specifically, when above-mentioned Internet of Things server go to work work attendance operation and when work attendance fails, the Internet of Things service
Device sends a warning message to above-mentioned Work attendance device, for informing above-mentioned staff attendance failure；When above-mentioned Internet of Things server is carried out
When work attendance of coming off duty operates and when work attendance fails, the Internet of Things server sends a warning message to the terminal device of above-mentioned employee, uses
Fail in above-mentioned staff attendance.
As can be seen that in the scheme of the embodiment of the present invention, above-mentioned Work attendance device is in employee's booting computer or shutdown
When gather employee M face images, and M face images are sent to Internet of Things server, Internet of Things server is from M faces
Target face image is obtained in image, is finally matched target face image with pre-stored face image template, if
The attendance record of employee is then generated with success.By carrying out work attendance operation when monitoring that employee's computer is in start or shutdown,
The problem of employee is lined up work attendance is advantageously accounted for, the efficiency of work attendance is improved, employee can also be avoided to forget the hair of work attendance situation
It is raw.
Referring to Fig. 3, Fig. 3 be the embodiments of the invention provide a kind of interactive flow chart of the monitoring method based on image,
As shown in figure 3, including：
Whether the state that S301, Work attendance device monitor the supply unit of employee's computer in real time changes.
Wherein, above-mentioned Work attendance device monitors that the state of the supply unit of above-mentioned employee's computer changes, then above-mentioned to examine
Diligent device gathers above-mentioned employee M face image；Conversely, above-mentioned Work attendance device performs step S301.
In one embodiment, when the power supply status for monitoring above-mentioned employee's computer enters power supply state from off-position
When, above-mentioned Work attendance device confirms that above-mentioned employee's computer is in open state, gathers the M face images of the employee；When monitoring
The power supply status of above-mentioned employee's computer from power supply state slowly enter off-position when, above-mentioned Work attendance device confirms above-mentioned employee's electricity
Brain is in off-mode, gathers the M face images of the employee；When monitoring the power supply status of above-mentioned employee's computer from power-off shape
When state rapidly enters power supply state, above-mentioned Work attendance device confirms that above-mentioned employee's computer is in forced shutdown state, without collection
Employee's face image operates.
S302, the Work attendance device gather the employee M face image.
Alternatively, above-mentioned Work attendance device is before above-mentioned employee M face image is gathered, above-mentioned Work attendance device hair note voice
Sound is reminded, to prompt above-mentioned staff attendance device to start to gather its face image, is ready it.
Specifically, above-mentioned Work attendance device gather above-mentioned employee M face image be specifically in preset duration T every when
Between t gather the face image of an above-mentioned employee, to gather the face image of M above-mentioned employees.
Alternatively, above-mentioned preset duration T for example can be 1s, 2s, 3s, 5s, 8s or other values.
Alternatively, above-mentioned preset time t for example can be 0.1s, 0.2s, 0.5s, 1s or other values.
It is to be understood that above-mentioned M=T/t.
S303, the Work attendance device send work attendance request to Internet of Things server.
Wherein, above-mentioned work attendance request includes would stating M face images and the identity of above-mentioned employee.
S304, the Internet of Things server obtain the target face image of the employee.
Specifically, above-mentioned Internet of Things server obtains the target face image of above-mentioned employee from above-mentioned M face images.
Wherein, above-mentioned Internet of Things server obtains the target face image of the employee, bag from above-mentioned M face images
Include：
Above-mentioned Internet of Things server obtains the resolution ratio of each face image in above-mentioned M face image；
Above-mentioned Internet of Things server chooses N face images of resolution ratio highest from above-mentioned M face images, as upper
State the target face image of employee, the small then M of above-mentioned N.
S305, the Internet of Things server obtain the face image template of the employee.
Specifically, above-mentioned Internet of Things server obtains according to the identity of above-mentioned employee from face image template database
Take the face image template of the employee.
Above-mentioned face image template is above-mentioned employee in the last frontal one image gathered.Above-mentioned Internet of Things clothes
It is engaged in gathering the frontal one image of an employee in device each season, as the face image template of employee, and is stored in above-mentioned Internet of Things
In the face image template database of network server, with keep accuracy when above-mentioned Internet of Things server carries out matching operation and
High efficiency.
S306, the Internet of Things server judge whether the target face image matches with the face image template.
Wherein, when above-mentioned Internet of Things server determines above-mentioned target face image and above-mentioned face image template matches, then
Above-mentioned Internet of Things server performs step S307；Conversely, above-mentioned Internet of Things server performs step S309.
S307, the Internet of Things server generate the attendance record of the employee.
S308, the Internet of Things server send work attendance success response to the Work attendance device, please to respond the work attendance
Ask.
Wherein, above-mentioned work attendance request also includes the working condition of above-mentioned employee's computer.
Alternatively, when above-mentioned Internet of Things server determines that above-mentioned Work attendance device is according to the working condition of above-mentioned employee's computer
When go to work work attendance operation, above-mentioned Internet of Things server sends work attendance success response to above-mentioned Work attendance device, with response
State work attendance request；Or when above-mentioned Internet of Things server determines that above-mentioned Work attendance device is according to the working condition of above-mentioned employee's computer
When go to work work attendance operation, above-mentioned Internet of Things server sends work attendance success response to the terminal device of above-mentioned employee, with
Inform above-mentioned staff attendance success.
S309, the Internet of Things server send a warning message to the terminal device, to inform that the staff attendance loses
Lose.
Wherein, above-mentioned work attendance request includes the working condition of above-mentioned employee's computer.When above-mentioned Internet of Things server is according to upper
The working condition for stating employee's computer determines that it is that above-mentioned Internet of Things server is set to above-mentioned terminal when come off duty work attendance operation
It is standby to send a warning message, to inform that above-mentioned staff attendance fails.
Alternatively, when above-mentioned Internet of Things server determines that it is to be gone to work according to the working condition of above-mentioned employee's computer
Work attendance operation, above-mentioned Internet of Things server sends a warning message to above-mentioned Work attendance device, to inform that above-mentioned work attendance fails.
Further, after above-mentioned Work attendance device or terminal device receive the warning information of Internet of Things server transmission,
Above-mentioned Work attendance device or above-mentioned terminal device resurvey above-mentioned employee M face images, and state Internet of Things clothes upwards again
Business device sends work attendance request.Above-mentioned Internet of Things server re-executes above-mentioned steps S303-S309.
It should be noted that the specific implementation process of each step of method shown in Fig. 3 can be found in embodiment illustrated in fig. 2
Described specific implementation process, is no longer described herein.
Referring to Fig. 4, Fig. 4 is a kind of Internet of Things server structural representation provided in an embodiment of the present invention.As shown in figure 4,
The Internet of Things server 400 includes：
Receiving module 401, for receiving the work attendance request of Work attendance device transmission, the work attendance request includes the work attendance dress
The image acquisition units put gather the M face images of the employee in the booting computer of employee or when shutting down, the M is big
In or equal to 1.
Acquisition module 402, for obtaining the target face image of the employee from the M face images.
Alternatively, the acquisition module 402 includes：
Acquiring unit 4021, for obtaining the resolution ratio of each face image in the M face images；
Unit 4022 is chosen, for choosing N face images of resolution ratio highest from the M face images, as
The target face image of the employee, wherein, the N is less than the M.
Alternatively, the image acquisition units of Work attendance device are before the M face images of the employee are gathered, the Internet of Things
Network server 400 also includes：
Second sending module 405, for sending prompting message to the Work attendance device, the prompting message is used to remind institute
State employee and proceed by face image collection.
The generation module 403, for matching when the target face image with face image template, then described in generation
The attendance record of employee.
Alternatively, the generation module 403 includes：
First acquisition unit 4031, obtain characteristic point in each face image of the N face images and described
The characteristic point of face image template；
Matching unit 4032, for by each characteristic point in each face image of the N face images and institute
Corresponding characteristic point in face image template is stated to be matched one by one；
Second acquisition unit 4033, for obtaining characteristic point and the spy in face image template in the N face images
The quantity that sign point matches is more than or equal to the quantity of the face image of the first predetermined threshold value；
Generation unit 4034, for generating institute when the quantity of the face image is more than or equal to the second predetermined threshold value
State the attendance record of employee.
First sending module 404, for sending work attendance success response to the Work attendance device and terminal device, to inform
State staff attendance success.
The matching unit 4032 also includes：
First establishes subelement 40321, for using the preset of the face image template as origin, scheming in the face
As establishing the first reference axis in template；
First obtains subelement 40322, for obtaining the coordinate of the characteristic point in the face image template；
Second establishes subelement 40323, for using the preset identical point with the face image template as origin,
The second reference axis is established on face image A；
Second obtains subelement 40324, for obtaining the coordinate of the characteristic point in face image A；
Coupling subelement 40325, for by coordinate identical feature in the face image template and the face image A
Point is matched；
Wherein, the face image A is any one in the N face images, the transverse axis of first reference axis
Coordinate unit it is identical with the coordinate unit of the transverse axis of second reference axis, the coordinate unit of the longitudinal axis of first reference axis
It is identical with the coordinate unit of the longitudinal axis of second reference axis.
It should be noted that (receiving module 401, acquisition module 402, generation module 403, first are sent above-mentioned each module
Module 404, the second sending module 405) it is used to perform the correlation step of the above method.
In the present embodiment, Internet of Things server 400 is to present in modular form.Here " module " can refer to spy
Determine application integrated circuit (application-specific integrated circuit, ASIC), perform one or more soft
The processor and memory of part or firmware program, integrated logic circuit, and/or other can provide the device of above-mentioned function.This
Outside, above receiving module 401, acquisition module 402, generation module 403, the first sending module 404, the second sending module 405 can
Realized by the processor 801 of the Internet of Things server shown in Fig. 8.
As shown in figure 8, Internet of Things server 800 can realize that the Internet of Things server 800 wraps with the structure in Fig. 8
Include at least one processor 801, at least one memory 802 and at least one communication interface 803.The processor 801, institute
Memory 802 is stated to connect by the communication bus with the communication interface 803 and complete mutual communication.
Processor 801 can be general central processor (CPU), microprocessor, ASIC
(application-specific integrated circuit, ASIC), or it is one or more for controlling above scheme journey
The integrated circuit that sequence performs.
Communication interface 803, for other equipment or communication, such as Ethernet, wireless access network (RAN), nothing
Line LAN (Wireless Local Area Networks, WLAN) etc..
Memory 802 can be read-only storage (read-only memory, ROM) or can store static information and instruction
Other kinds of static storage device, random access memory (random access memory, RAM) or letter can be stored
Breath and other kinds of dynamic memory or the EEPROM (Electrically of instruction
Erasable Programmable Read-Only Memory, EEPROM), read-only optical disc (Compact Disc Read-
Only Memory, CD-ROM) or other optical disc storages, laser disc storage (including compression laser disc, laser disc, laser disc, digital universal
Laser disc, Blu-ray Disc etc.), magnetic disk storage medium or other magnetic storage apparatus or can be used in carrying or store with referring to
The desired program code of order or data structure form simultaneously can be by any other medium of computer access, but not limited to this.
Memory can be individually present, and be connected by bus with processor.Memory can also integrate with processor.
Wherein, the memory 802 be used for store perform above scheme application code, and by processor 801
Control performs.The processor 801 is used to perform the application code stored in the memory 802.
The code that memory 802 stores can perform above-mentioned a kind of prison based on image that terminal device provided above performs
Prosecutor method, such as Internet of Things server receive the work attendance request that Work attendance device is sent, and the work attendance request includes the work attendance dress
The image acquisition units put gather the M face images of the employee in the booting computer of employee or when shutting down, the M is big
In or equal to 1；The Internet of Things server obtains the target face image of the employee from the M face images；It is described
Internet of Things server is matched the target face image with pre-stored face image template；When the target face figure
As when matching with the face image template, then the Internet of Things server generates the attendance record of the employee；The thing
Networked server sends work attendance success response to the Work attendance device and terminal device, to inform the staff attendance success.
The embodiment of the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium can be stored with journey
Sequence, the part or complete of any monitoring method based on image described in above method embodiment is included when the program performs
Portion's step.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can use other orders or carry out simultaneously.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, and involved action and module are not necessarily of the invention
It is necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, can be by another way
Realize.For example, device embodiment described above is only schematical, such as the division of the unit, it is only one kind
Division of logic function, can there is an other dividing mode when actually realizing, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored, or not perform.Another, shown or discussed is mutual
Coupling direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer-readable access to memory.Based on such understanding, technical scheme substantially or
Person say the part to be contributed to prior art or the technical scheme all or part can in the form of software product body
Reveal and, the computer software product is stored in a memory, including some instructions are causing a computer equipment
(can be personal computer, Internet of Things server or network equipment etc.) performs the whole of each embodiment methods described of the present invention
Or part steps.And foregoing memory includes：USB flash disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with store program codes
Medium.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
To instruct the hardware of correlation to complete by program, the program can be stored in a computer-readable memory, memory
It can include：Flash disk, read-only storage (English：Read-Only Memory, referred to as：ROM), random access device (English：
Random Access Memory, referred to as：RAM), disk or CD etc..
The embodiment of the present invention is described in detail above, specific case used herein to the principle of the present invention and
Embodiment is set forth, and the explanation of above example is only intended to help the method and its core concept for understanding the present invention；
Meanwhile for those of ordinary skill in the art, according to the thought of the present invention, can in specific embodiments and applications
There is change part, to sum up above-mentioned, this specification content should not be construed as limiting the invention.
Claims (10)
- A kind of 1. Work attendance method based on Internet of Things, it is characterised in that including：Internet of Things server receives the work attendance request that Work attendance device is sent, and the work attendance request includes the image of the Work attendance device Collecting unit gathers the M face images of the employee in the booting computer of employee or when shutting down, the M be more than or equal to 1；The Internet of Things server obtains the target face image of the employee from the M face images；When the target face image and face image template match, then the Internet of Things server generates the employee's Attendance record；The Internet of Things server sends work attendance success response to the Work attendance device and the terminal device of the employee.
- 2. according to the method for claim 1, it is characterised in that the Internet of Things server is from the M face images The target face image of the employee is obtained, including：The Internet of Things server obtains the resolution ratio of each face image in the M face image；The Internet of Things server chooses N face images of resolution ratio highest from the M face images, as the member The target face image of work,Wherein, the N is less than the M.
- 3. method according to claim 1 or 2, it is characterised in that the image acquisition units of Work attendance device are described in collection Before the M of employee face images, methods described also includes：The Internet of Things server sends prompting message to the Work attendance device, and the prompting message is used to remind the employee to open Begin to carry out face image collection.
- 4. method according to claim 1 or 2, it is characterised in that when the target face image and the face image When template matches, then the Internet of Things server generates the attendance record of the employee, including：The Internet of Things server obtains characteristic point and face figure in each face image of the N face image As the characteristic point of template；The Internet of Things server opens the N each characteristic point and the face in each face image of face image Corresponding characteristic point is matched one by one in image template；Obtain the quantity that characteristic point matches with the characteristic point in the face image template in the N face images be more than or Person is equal to the quantity of the face image of the first predetermined threshold value；When the quantity of the face image is more than or equal to the second predetermined threshold value, the Internet of Things server generates the member The attendance record of work.
- 5. according to the method for claim 4, it is characterised in that the N is opened face image by the Internet of Things server Each characteristic point in each face image is matched one by one with corresponding characteristic point in the face image template, bag Include：The Internet of Things server is established using the preset of the face image template as origin in the face image template First reference axis；The Internet of Things server obtains the coordinate of the characteristic point in the face image template；The Internet of Things server is using the preset identical point with the face image template as origin, on face image A Establish the second reference axis；The Internet of Things server obtains the coordinate of the characteristic point in the face image A；The Internet of Things server by the face image template and the face image A coordinate identical characteristic point carry out Match somebody with somebody；Wherein, the face image A is any one in the N face images, the seat of the transverse axis of first reference axis It is identical with the coordinate unit of the transverse axis of second reference axis to mark unit, the coordinate unit of the longitudinal axis of first reference axis and institute The coordinate unit for stating the longitudinal axis of the second reference axis is identical.
- A kind of 6. Internet of Things server, it is characterised in that including：Receiving module, for receiving the work attendance request of Work attendance device transmission, the work attendance request includes the figure of the Work attendance device The M face images of the employee are gathered in the booting computer of employee or when shutting down as collecting unit, the M is to be more than or wait In 1；Acquisition module, for obtaining the target face image of the employee from the M face images；Generation module, for matching when the target face image with face image template, then generate the work attendance of the employee Record；First sending module, for sending work attendance success response to the Work attendance device and the terminal device of the employee, to accuse Know the staff attendance success.
- 7. Internet of Things server according to claim 6, it is characterised in that the acquisition module includes：Acquiring unit, for obtaining the resolution ratio of each face image in the M face images；Unit is chosen, for choosing N face images of resolution ratio highest from the M face images, as the employee Target face image,Wherein, the N is less than the M.
- 8. the Internet of Things server according to claim 6 or 7, it is characterised in that the image acquisition units of Work attendance device exist Before M face images for gathering the employee, the Internet of Things server also includes：Second sending module, for sending prompting message to the Work attendance device, the prompting message is used to remind the employee Proceed by face image collection.
- 9. the Internet of Things server according to claim 6 or 7, it is characterised in that the generation module includes：First acquisition unit, obtain the characteristic point in each face image of the N face images and the face image The characteristic point of template；Matching unit, for each characteristic point in each face image of the N face images and the face to be schemed As corresponding characteristic point is matched one by one in template；Second acquisition unit, for obtaining characteristic point and the characteristic point in the face image template in the N face images The quantity to match is more than or equal to the quantity of the face image of the first predetermined threshold value；Generation unit, for generating the employee's when the quantity of the face image is more than or equal to the second predetermined threshold value Attendance record.
- 10. Internet of Things server according to claim 9, it is characterised in that the matching unit also includes：First establishes subelement, for using the preset of the face image template as origin, in the face image template Establish the first reference axis；First obtains subelement, for obtaining the coordinate of the characteristic point in the face image template；Second establishes subelement, for using the preset identical point with the face image template as origin, in face image A On establish the second reference axis；Second obtains subelement, for obtaining the coordinate of the characteristic point in the face image A；Coupling subelement, for by the face image template and the face image A coordinate identical characteristic point carry out Match somebody with somebody；Wherein, the face image A is any one in the N face images, the seat of the transverse axis of first reference axis It is identical with the coordinate unit of the transverse axis of second reference axis to mark unit, the coordinate unit of the longitudinal axis of first reference axis and institute The coordinate unit for stating the longitudinal axis of the second reference axis is identical.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108230478A (en) * | 2018-02-08 | 2018-06-29 | 宁夏翔羚科技有限公司 | Roll-call method, apparatus, electronic equipment and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007034802A (en) * | 2005-07-28 | 2007-02-08 | Citizen Watch Co Ltd | Identification code transmitter of wireless identification system with automatic reset function and wireless identification system with identification code transmitter of wireless identification system with automatic reset function |
| CN102360421A (en) * | 2011-10-19 | 2012-02-22 | 苏州大学 | Face identification method and system based on video streaming |
| CN102867344A (en) * | 2012-09-07 | 2013-01-09 | 湖南爱瑞杰科技发展股份有限公司 | Internet of Things entrance guard checking-in system and device |
| CN102968830A (en) * | 2012-11-23 | 2013-03-13 | 浙江工业大学 | Attendance machine of Internet of Things |
| CN103984941A (en) * | 2014-06-10 | 2014-08-13 | 深圳市赛为智能股份有限公司 | Face recognition checking-in method and device thereof |
| CN105138968A (en) * | 2015-08-05 | 2015-12-09 | 北京天诚盛业科技有限公司 | Face authentication method and device |
| CN105227307A (en) * | 2014-06-03 | 2016-01-06 | 阿里巴巴集团控股有限公司 | Auth method and system and server data processing method and server |
| CN105518709A (en) * | 2015-03-26 | 2016-04-20 | 北京旷视科技有限公司 | Method, system and computer program product for identifying human face |
| CN106384399A (en) * | 2016-10-27 | 2017-02-08 | 湖北大学 | IOT (Internet of Things)-office-oriented network attendance method |
| CN106910047A (en) * | 2017-03-03 | 2017-06-30 | 泸州市众信信息技术有限公司 | A kind of efficient attendance checking system of intelligent timing |
| CN106940904A (en) * | 2017-03-14 | 2017-07-11 | 深圳汇通智能化科技有限公司 | Attendance checking system based on recognition of face and speech recognition |
-
2017
- 2017-08-31 CN CN201710783547.7A patent/CN107633564A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007034802A (en) * | 2005-07-28 | 2007-02-08 | Citizen Watch Co Ltd | Identification code transmitter of wireless identification system with automatic reset function and wireless identification system with identification code transmitter of wireless identification system with automatic reset function |
| CN102360421A (en) * | 2011-10-19 | 2012-02-22 | 苏州大学 | Face identification method and system based on video streaming |
| CN102867344A (en) * | 2012-09-07 | 2013-01-09 | 湖南爱瑞杰科技发展股份有限公司 | Internet of Things entrance guard checking-in system and device |
| CN102968830A (en) * | 2012-11-23 | 2013-03-13 | 浙江工业大学 | Attendance machine of Internet of Things |
| CN105227307A (en) * | 2014-06-03 | 2016-01-06 | 阿里巴巴集团控股有限公司 | Auth method and system and server data processing method and server |
| CN103984941A (en) * | 2014-06-10 | 2014-08-13 | 深圳市赛为智能股份有限公司 | Face recognition checking-in method and device thereof |
| CN105518709A (en) * | 2015-03-26 | 2016-04-20 | 北京旷视科技有限公司 | Method, system and computer program product for identifying human face |
| CN105138968A (en) * | 2015-08-05 | 2015-12-09 | 北京天诚盛业科技有限公司 | Face authentication method and device |
| CN106384399A (en) * | 2016-10-27 | 2017-02-08 | 湖北大学 | IOT (Internet of Things)-office-oriented network attendance method |
| CN106910047A (en) * | 2017-03-03 | 2017-06-30 | 泸州市众信信息技术有限公司 | A kind of efficient attendance checking system of intelligent timing |
| CN106940904A (en) * | 2017-03-14 | 2017-07-11 | 深圳汇通智能化科技有限公司 | Attendance checking system based on recognition of face and speech recognition |
Non-Patent Citations (1)
| Title |
|---|
| 罗亚平等: "《刑事科学技术》", 28 February 2015, 中国人民公安大学出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108230478A (en) * | 2018-02-08 | 2018-06-29 | 宁夏翔羚科技有限公司 | Roll-call method, apparatus, electronic equipment and storage medium |
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