CN110189111A - Work attendance method and device - Google Patents

Work attendance method and device Download PDF

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Publication number
CN110189111A
CN110189111A CN201910491415.6A CN201910491415A CN110189111A CN 110189111 A CN110189111 A CN 110189111A CN 201910491415 A CN201910491415 A CN 201910491415A CN 110189111 A CN110189111 A CN 110189111A
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Prior art keywords
time
candid photograph
sample characteristics
attendance
face sample
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仝朝蕊
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Chuangyou Digital Technology Guangdong Co Ltd
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Name Creation (hengqin) Enterprise Management Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/109Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1091Recording time for administrative or management purposes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/10Registering, 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

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  • Oral & Maxillofacial Surgery (AREA)
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  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • General Health & Medical Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Data Mining & Analysis (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Collating Specific Patterns (AREA)
  • Time Recorders, Dirve Recorders, Access Control (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides a kind of Work attendance method and devices, this method comprises: obtaining the facial image currently captured, the candid photograph time of the facial image and candid photograph location information, the face characteristic that identification facial image includes, if there are the face sample characteristics to match with face characteristic in the property data base constructed in advance, determine the corresponding identity information of face sample characteristics, and obtain planning chart corresponding to the identity information of arranging an order according to class and grade, it is compared unanimously when capturing location information with the location information of arranging an order according to class and grade in planning chart of arranging an order according to class and grade, and when capturing the time within the preset working time, generate real-time attendance report, and obtain the time interval for capturing time and the preceding candid photograph time once captured, judge whether time interval is greater than preset time threshold, if time interval is greater than preset time threshold, determine that employee corresponding to the identity information generates behavior of leaving post, And the behavior of leaving post is stored to real-time attendance report.Using Work attendance method provided by the invention, can real-time oversight employee situation of leaving post.

Description

Work attendance method and device
Technical field
The present invention relates to software field more particularly to a kind of Work attendance methods and device.
Background technique
Attendance is a kind of way to manage of the usually used record staff attendant of people, and the attendance of employee includes It is normal it is on and off duty, be late, leave early, attendance is the important means of performance management, working attitude, rule for the unified staff The job performance of the model staff.
Existing Work attendance method is that employee needs typing fingerprint or human face photo in attendance recorder, and attendance recorder is completed to compare Afterwards output check card whether successful data.Using existing Work attendance method, it is able to record the attendance situation on and off duty of employee, but It is that when employee leaves post without authorization during work, will be unable to the situation of leaving post of supervision employee.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of Work attendance method, according to real-time grasp shoot facial image, to grabbing The facial image of bat carries out recognition of face, calculates current when capturing the time with, the current preceding candid photograph once captured for capturing the time Between time interval, by determine whether that employee generates behavior of leaving post, realizing the comparison of time interval and preset time The situation of leaving post of real-time oversight employee.
The present invention also provides a kind of Work attendance devices, for guaranteeing the realization and application of the above method in practice.
A kind of Work attendance method, comprising:
Within the preset attendance period, candid photograph time and the institute of the facial image, the facial image currently captured are obtained State the candid photograph location information of facial image;
The facial image is identified, the face characteristic that the facial image includes is obtained;
The property data base constructed in advance is traversed, judges to whether there is and the face characteristic phase in the property data base Matched face sample characteristics;
If there are the face sample characteristics to match with the face characteristic in the property data base, the face is determined The corresponding identity information of sample characteristics;
Obtain corresponding with identity information planning chart of arranging an order according to class and grade, and by the candid photograph location information and the plan of arranging an order according to class and grade Location information of arranging an order according to class and grade in table is compared;
When the location information of arranging an order according to class and grade in the candid photograph location information and the planning chart of arranging an order according to class and grade compares consistent, described in judgement The time is captured whether within the preset working time;
If the candid photograph time within the preset working time, generates real-time attendance report corresponding with the identity information Table;
The time interval between the candid photograph time and reference time is obtained, and it is pre- to judge whether the time interval is greater than If time threshold;The reference time is the preceding candid photograph time once captured of the facial image currently captured;
If the time interval is greater than preset time threshold, determines that employee corresponding with the identity information generates and leave post Behavior, and the behavior of leaving post is stored to the real-time attendance report.
Above-mentioned method, optionally, further includes:
When the attendance end cycle, corresponding with the identity information in the attendance period all examine in real time is obtained Diligent report;
According to the candid photograph time of each real-time attendance report corresponding with the identity information, when determining the first candid photograph Between and second capture the time;Described first, which captures the time, is in each real-time attendance report corresponding candid photograph time, when Between earliest candid photograph time, described second to capture the time be the time in each real-time attendance report corresponding candid photograph time The candid photograph time the latest;
The first candid photograph time was compared with the default work hours in the planning chart of arranging an order according to class and grade, and by described the Two candid photograph times were compared with the default quitting time in the planning chart of arranging an order according to class and grade, corresponding with the identity information to generate Checking-in result.
Above-mentioned method, optionally, it is described generate corresponding with identity information checking-in result after, further includes:
When receiving checking-in result change request corresponding with the identity information, judge that the checking-in result change is asked It whether include that audit passes through information in asking;
If comprising according to the modification information in checking-in result change request, the checking-in result correspond to more Newly;
If not including, the modification information in checking-in result change request is stored.
Above-mentioned method, optionally, it is described determine that corresponding with identity information employee generates behavior of leaving post after, and also Include:
It leaves post behavior according to described in, sends prompt information to preset client.
Above-mentioned method optionally whether there is and the face characteristic phase in the judgement property data base The face sample characteristics matched, comprising:
Each face sample characteristics in the property data base are matched one by one with the face characteristic, and are generated Similarity corresponding with each face sample characteristics;
According to the similarity corresponding with each face sample characteristics, the acquisition highest target face sample of similarity Eigen;
Judge whether similarity corresponding with the target face sample characteristics is greater than preset similarity threshold;
If similarity corresponding with the target face sample characteristics is greater than preset similarity threshold, it is determined as described There are the face sample characteristics to match with the face characteristic in property data base;
If similarity corresponding with the target face sample characteristics is not more than preset similarity threshold, it is determined as institute State the face sample characteristics for being not present in property data base and matching with the face characteristic.
A kind of Work attendance device, comprising:
First acquisition unit, for obtaining facial image, the face figure currently captured within the preset attendance period The candid photograph location information of the candid photograph time and the facial image of picture;
Recognition unit obtains the face characteristic that the facial image includes for identifying to the facial image;
First judging unit judges whether deposit in the property data base for traversing the property data base constructed in advance In the face sample characteristics to match with the face characteristic;
First determination unit, if for there is the face sample to match with the face characteristic in the property data base Feature determines the corresponding identity information of the face sample characteristics;
First comparing unit, for obtaining corresponding with identity information planning chart of arranging an order according to class and grade, and by the candid photograph position Information is compared with the location information of arranging an order according to class and grade in the planning chart of arranging an order according to class and grade;
Second judgment unit, for when the location information ratio of arranging an order according to class and grade in the candid photograph location information and the planning chart of arranging an order according to class and grade To it is consistent when, judge the candid photograph time whether within the preset working time;
Generation unit, if being generated corresponding with the identity information for the candid photograph time within the preset working time Real-time attendance report;
Second acquisition unit, for obtaining the time interval between the candid photograph time and reference time, and described in judgement Whether time interval is greater than preset time threshold;The reference time is that the preceding of the facial image currently captured once is grabbed The candid photograph time of bat;
Storage unit determines corresponding with the identity information if being greater than preset time threshold for the time interval Employee generate and leave post behavior, and the behavior of leaving post is stored to the real-time attendance report.
Above-mentioned device, optionally, further includes:
Third acquiring unit is believed for when the attendance end cycle, obtaining in the attendance period with the identity Cease corresponding all real-time attendance reports;
Second determination unit, for according to each real-time attendance report corresponding with the identity information candid photograph when Between, determine the first candid photograph time and the second candid photograph time;Described first captures the time as each real-time attendance report pair In the candid photograph time answered, earliest candid photograph time time, described second to capture the time be that each real-time attendance report is corresponding The candid photograph time in, the candid photograph time of time the latest;
Second comparing unit, for described first is captured the default work hours in time and the planning chart of arranging an order according to class and grade into Row compares, and the second candid photograph time was compared with the default quitting time in the planning chart of arranging an order according to class and grade, to generate and The corresponding checking-in result of the identity information.
Above-mentioned device, optionally, further includes:
Third judging unit, for judging when receiving checking-in result change request corresponding with the identity information It whether include that audit passes through information in the checking-in result change request;
Updating unit, if for comprising according to the modification information in checking-in result change request, by the attendance knot Fruit carries out corresponding update;
Storage unit, if storing the modification information in checking-in result change request for not including.
Above-mentioned device, optionally, further includes:
Prompt unit sends prompt information to preset client for behavior of leaving post according to described in.
Above-mentioned device, optionally, first judging unit, comprising:
Coupling subelement, for carrying out each face sample characteristics in the property data base with the face characteristic It matches one by one, and generates similarity corresponding with each face sample characteristics;
Subelement is obtained, for according to the similarity corresponding with each face sample characteristics, acquisition similarity Highest target face sample characteristics;
Judgment sub-unit, for judging whether similarity corresponding with the target face sample characteristics is greater than preset phase Like degree threshold value;
First determines subelement, if being greater than for similarity corresponding with the target face sample characteristics preset similar Threshold value is spent, then is determined as there are the face sample characteristics to match with the face characteristic in the property data base;
Second determines subelement, if being not more than preset phase for similarity corresponding with the target face sample characteristics Like degree threshold value, then it is determined as in the property data base that there is no the face sample characteristics to match with the face characteristic.
A kind of storage medium, the storage medium include the instruction of storage, wherein in described instruction operation described in control Equipment where storage medium executes above-mentioned Work attendance method.
A kind of electronic equipment, including memory and one perhaps one of them or one of more than one instruction with Upper instruction is stored in memory, and is configured to execute above-mentioned Work attendance method by one or more than one processor.
Compared with prior art, the present invention includes the following advantages:
The present invention provides a kind of Work attendance methods, comprising: when obtaining the candid photograph of the facial image, facial image currently captured Between and capture location information, the identification facial image face characteristic that includes traverses the property data base constructed in advance, if characteristic According to there are the face sample characteristics to match with the face characteristic in library, the corresponding identity information of face sample characteristics is determined, Obtain planning chart corresponding to the identity information of arranging an order according to class and grade, and by capture location information in planning chart of arranging an order according to class and grade arrange an order according to class and grade location information into Row compares, and when the alignment is identical, and captures the time within the preset working time, generates real-time attendance corresponding to the identity information Report obtains the time interval captured between time and reference time, and judges whether time interval is greater than preset time threshold Value, the reference time is the preceding candid photograph time once captured for the facial image currently captured, if time interval is greater than preset Between threshold value, determine that employee corresponding to the identity information generates behavior of leaving post, and the behavior of leaving post is stored to real-time attendance report.It answers Recognition of face is carried out to the facial image of candid photograph, is calculated according to real-time grasp shoot facial image with Work attendance method provided by the invention It is current to capture time and, the time interval of the current preceding candid photograph time once captured for capturing the time, by by time interval with The comparison of preset time realizes the situation of leaving post of real-time oversight employee to determine whether that employee generates behavior of leaving post.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of method flow diagram of Work attendance method provided by the invention;
Fig. 2 is a kind of another method flow diagram of Work attendance method provided by the invention;
Fig. 3 is a kind of another method flow diagram of Work attendance method provided by the invention;
Fig. 4 is a kind of structural schematic diagram of Work attendance device provided by the invention;
Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided by the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
The present invention can be used in numerous general or special purpose computing device environment or configurations.Such as: personal computer, service Device computer, handheld device or portable device, laptop device, multi-processor device including any of the above devices or devices Distributed computing environment etc..
The embodiment of the invention provides a kind of Work attendance method, this method can be applied in multiple systems platform, execute master Body can be the processor for operating in various mobile devices, and the flow chart of the Work attendance method is as shown in Figure 1, specifically include:
S101: within the preset attendance period, the candid photograph time of the facial image, the facial image currently captured is obtained With the candid photograph location information of the facial image;
In method provided in an embodiment of the present invention, within the preset attendance period, processor obtains high-definition camera and captures The facial image of employee, high-definition camera record corresponding with the facial image currently captured while capturing facial image The candid photograph time, and capture location information, and the time will be captured and capture location information and be uploaded to processor, capture location information The geographical coordinate position of position can be presently in employee, such as longitude and latitude data, the attendance period be pre-set it is daily Commuter time.
It should be noted that camera be captured in real-time facial image, and by captured in real-time to facial image be sent to Processor.
S102: identifying the facial image, obtains the face characteristic that the facial image includes;
In method provided in an embodiment of the present invention, using the face recognition technology based on deep learning, to facial image into Row identification, face recognition technology is the face feature based on people, is identified to the current environment image taken, is determined every The position of a face, size and each major facial organ location information further obtain each face and according to these information Included in current face's characteristic information.Face characteristic may include, but be not limited only to, each position of face shape, face (mouth, Eye, nose etc.) the features such as position, each position shape of face, face mask.It should be noted that face characteristic can be this All face characteristics of facial image, the part face characteristic being also possible in the facial image.Wherein, face recognition technology is The prior art, details are not described herein again.
S103: the property data base that traversal constructs in advance judges to whether there is and the face in the property data base The face sample characteristics that feature matches;
In method provided in an embodiment of the present invention, employee's letter of all employees is stored in the property data base that constructs in advance Breath, employee information include employee's basic identity information, and face sample characteristics corresponding with employee, and employee's basic identity information can Including but not limited to name, work number, position, department etc. may capture non-the facial image captured every time The facial image of employee, thus determine first the facial image currently captured whether be employee image, i.e., in property data base In whether there is the corresponding sample face characteristic of face characteristic corresponding with facial image.
S104: if there are the face sample characteristics to match with the face characteristic in the property data base, institute is determined State the corresponding identity information of face sample characteristics;
In method provided in an embodiment of the present invention, when in property data base exist face corresponding with the facial image of candid photograph When the face sample characteristics that feature matches, that is, it can determine that the facial image currently captured is the facial image of employee, according to pre- The corresponding relationship of the face sample characteristics and worker's information that first store, the determining sample face to match with face characteristic are special Corresponding identity information is levied, to determine the corresponding employee of facial image currently captured.
S105: obtaining corresponding with identity information planning chart of arranging an order according to class and grade, and by the candid photograph location information and the row Location information of arranging an order according to class and grade in shift plan table is compared;
In method provided in an embodiment of the present invention, the planning chart of arranging an order according to class and grade pre-set may include name, work number, up and down Class's time, the information such as position of arranging an order according to class and grade, optionally, the leader for possessing corresponding authority can upload planning chart of arranging an order according to class and grade, increase, The operation such as deletion or modification.According to planning chart of arranging an order according to class and grade, by the row in the current candid photograph position for capturing face and planning chart of arranging an order according to class and grade Class position is compared, to determine whether the employee current location is to arrange an order according to class and grade in position specified in planning chart.
S106: when the location information of arranging an order according to class and grade in the candid photograph location information and the planning chart of arranging an order according to class and grade compares consistent, sentence The candid photograph time break whether within the preset working time;
In method provided in an embodiment of the present invention, when capture position be arrange an order according to class and grade in planning chart arrange an order according to class and grade position when, by face The candid photograph time of image is compared with the preset operating time in planning chart of arranging an order according to class and grade, when wherein the working time is preset working Between period between the quitting time be determined as that the current attendance of the employee is normal when capturing the time is within the working time.
It should be noted that determining whether candid photograph location information and the position of arranging an order according to class and grade in planning chart of arranging an order according to class and grade are consistent, and really Surely capturing the time is that the sequence all within the preset working time does not limit, and can be and first determines candid photograph position and planning chart of arranging an order according to class and grade In position of arranging an order according to class and grade it is whether consistent, then determine capture the time whether within the preset working time, be also possible to first determine candid photograph Whether the time is within the preset working time, then determines whether candid photograph position and the position of arranging an order according to class and grade in planning chart of arranging an order according to class and grade are consistent.
S107: if the candid photograph time, within the preset working time, generation is corresponding with the identity information to examine in real time Diligent report;
In method provided in an embodiment of the present invention, when going to work again the candid photograph time for the facial image for being judged to currently capturing When interior, real-time attendance report is generated;The candid photograph corresponding with current candid photograph image of the employee is recorded in the real-time attendance report Time, and whether the relevant informations such as normal attendance.
S108: the time interval captured between time and reference time is obtained, and whether judges the time interval Greater than preset time threshold;When the reference time is the preceding candid photograph once captured of the facial image currently captured Between;
In method provided in an embodiment of the present invention, for the facial image captured every time, judgement and current face's image Whether the time interval for capturing time and reference time is greater than preset time threshold, and the reference time is before currently capturing the time The candid photograph time once captured judges whether employee corresponding with facial image has by calculating the time interval captured twice The behavior that midway is left post.
S109: if the time interval is greater than preset time threshold, determine that employee corresponding with the identity information produces Raw behavior of leaving post, and the behavior of leaving post is stored to the real-time attendance report.
In method provided in an embodiment of the present invention, if that currently captures captures the time interval between time and reference time Less than time threshold, then judges that the corresponding employee of the facial image currently captured does not generate behavior of leaving post halfway, work as time interval Greater than time threshold, then judge that the employee generates behavior of leaving post halfway.When judge employee generate leave post behavior when, by the behavior of leaving post In record to real-time attendance report corresponding with the employee, optionally, when the employee, which does not generate, leaves post behavior, will can not also it take off Hilllock behavior record is into real-time attendance report.
It should be noted that time threshold be it is preset, time threshold can be adjusted according to the actual situation.
In Work attendance method provided in an embodiment of the present invention, when obtaining the candid photograph of the facial image, facial image currently captured Between and capture location information, the identification facial image face characteristic that includes traverses the property data base constructed in advance, if characteristic According to there are the face sample characteristics to match with the face characteristic in library, the corresponding identity information of face sample characteristics is determined, Planning chart corresponding to the identity information of arranging an order according to class and grade is obtained, and is located at arranging an order according to class and grade in position in planning chart of arranging an order according to class and grade when capturing position, and grab When clapping the time within the preset working time, real-time attendance report corresponding to the identity information is generated, obtains and captures time and ginseng The time interval between the time is examined, and judges whether time interval is greater than preset time threshold, the reference time is current captures Facial image the preceding candid photograph time once captured, if time interval be greater than preset time threshold, determine and identity information Corresponding employee generates behavior of leaving post, and the behavior of leaving post is stored to real-time attendance report.Using attendance side provided by the invention Method carries out recognition of face to the facial image of candid photograph according to real-time grasp shoot facial image, calculate it is current capture the time with currently The time interval for capturing the preceding candid photograph time once captured of time, by by the comparison of time interval and preset time, with true It is fixed whether to there is employee to generate behavior of leaving post halfway, realize the situation of leaving post of real-time oversight employee.
It should be noted that be judged as employee generate leave post behavior when, can to preset client send prompt letter Breath, preset client is the corresponding client of leader being in charge of, so that the leader being in charge of obtains the checking-in state of employee in time, Improve the efficiency of management.
The step that embodiments of the present invention Fig. 1 is disclosed, as shown in Fig. 2, can with the following steps are included:
S201: it when the attendance end cycle, obtains corresponding with the identity information all in the attendance period Real-time attendance report;
In method provided in an embodiment of the present invention, when attendance end cycle, that is, when reaching the preset quitting time, foundation Identity information obtains all real-time attendance reports corresponding to the identity information.
It should be noted that all real-time attendance reports corresponding to the identity information, can for the same day and identity The corresponding real-time attendance report of information.
S202: according to the candid photograph time of each real-time attendance report corresponding with the identity information, first is determined Capture time and the second candid photograph time;
In method provided in an embodiment of the present invention, according to the candid photograph time in each implementation attendance report, determine earliest Time, and candid photograph time the latest are captured, captures the time for the earliest candid photograph time as first, the candid photograph time the latest is made The time is captured for second.For example, be 8:50 in the employee's morning to the shop time, then the face for the employee that the camera in shop is captured The time of image is 8:50, and employee is 17:30 the departure time in the afternoon, that is, can determine that the first candid photograph time was 8:50, second captures Time is 17:30.
S203: the first candid photograph time is compared with the default work hours in the planning chart of arranging an order according to class and grade, and will The second candid photograph time is compared with the default quitting time in the planning chart of arranging an order according to class and grade, to generate and the identity information Corresponding checking-in result.
In method provided in an embodiment of the present invention, the first candid photograph time was compared with the preset work hours, when the When one candid photograph time is earlier than the preset work hours, determine that employee corresponding to the identity information reports for work on time, when first captures Between when being later than the preset work hours, determine that employee working is late, when second captures the time earlier than the preset quitting time, Determine that the employee leaves early, when the second candid photograph time being later than the preset quitting time, determines that the employee comes off duty on time, according to judgement As a result checking-in result corresponding to the identity information is generated.
It should be noted that if leaving post behavior in the corresponding real-time attendance report of employee comprising employee, by leaving post for employee Behavior record is in the corresponding checking-in result of the employee.The present invention can generate moon attendance by the daily checking-in result of employee As a result, simultaneously carrying out emolument statistics according to moon checking-in result, the efficiency of emolument statistics is improved.
It should be noted that checking-in result can be shown in method provided in an embodiment of the present invention, so as to employee and The attendance situation of department head's timely learning employees at different levels improves the efficiency of management.
After the step S203 that embodiments of the present invention Fig. 2 is disclosed, can with the following steps are included:
When receiving checking-in result change request corresponding with the identity information, judge that the checking-in result change is asked It whether include that audit passes through information in asking;
If comprising according to the modification information in checking-in result change request, the checking-in result correspond to more Newly;
If not including, the modification information in checking-in result change request is stored.
In method provided in an embodiment of the present invention, employee can inquire checking-in result, if having objection to checking-in result data, Process can be checked and approved by attendance and submits the change request of the first checking-in result, include change in first checking-in result change request Information, manager audit first checking-in result change request, generate auditing result information, auditing result information includes Audit does not pass through information by information and audit, if the first checking-in result change request that the employee submits meets change request, The change request that i.e. employee submits is the request to tally with the actual situation, then generates audit by information, which passes through information It can be manager and the information that request carries out Signature Confirmation changed to first checking-in result, if the change request that the employee submits Change request is not met, then generates audit not by information, audit is not embedded in by manager by information or audit by information Into first checking-in result change request, checking-in result change request is generated, and checking-in result change request is committed to Whether processor when processor receives checking-in result change request, judges in checking-in result change request comprising audit By information, i.e. whether auditing result information is audit by information, if comprising audit by information, according to the auditing result Modification information in change request, information corresponding in checking-in result is changed;If auditing result information is that audit is obstructed Information is crossed, then checking-in result is not changed, the modification information in change request is only subjected to storage and stays shelves.
The detailed process mentioned above that checking-in result is carried out corresponding change is illustrated:
If employee A is gone on business by short notice, at this point, do not change the corresponding information of arranging an order according to class and grade of A in planning chart of arranging an order according to class and grade, Checking-in result on the day of being so A by the result of human face identification work-attendance checking is absence from duty, then A can submit the first checking-in result Change is requested, and the checking-in result on the same day is that situation absent from duty is changed to go on business, and provides corresponding proof information, management by request Person audits the first checking-in result change request that A is submitted, and is gone on business on the day of verifying A, generates audit by information, and According to audit by information and the change request of the first checking-in result, checking-in result change request is generated, which is changed Request is submitted, and processor is got in checking-in result change request when receiving checking-in result change request Absence from duty in corresponding checking-in result is changed to go on business by audit by information.
What the step S103 that embodiments of the present invention Fig. 1 is disclosed was related to, judge whether deposit in the property data base In the face sample characteristics to match with the face characteristic, as shown in Figure 3, comprising the following steps:
S301: each face sample characteristics in property data base are matched one by one with face characteristic, and generate with The corresponding similarity of each face sample characteristics;
The face sample characteristics of all employees are stored in advance in method provided in an embodiment of the present invention, in property data base, To the face characteristic that each is currently identified, face characteristic and all face sample characteristics in property data base are compared It is right, and the similarity of the face characteristic Yu each face sample characteristics is calculated, it obtains corresponding with each face sample characteristics Similarity.
S302: according to the similarity corresponding with each face sample characteristics, the acquisition highest target of similarity Face sample characteristics;
In method provided in an embodiment of the present invention, according to similarity corresponding with each face sample characteristics, obtain similar Highest target face sample characteristics are spent, it optionally, can be according to the phase corresponding with each face sample characteristics for calculating acquisition Like degree, each sample face characteristic is ranked up according to sequence from big to small, and from ordering face sample characteristics, Sequence is chosen in most preceding face sample characteristics, and using the face sample characteristics of selection as target face sample characteristics.
It should be noted that the calculating of similarity can take distance function to be calculated, it is several that distance function can be Europe In distance, manhatton distance etc..
S303: whether judgement similarity corresponding with the target face sample characteristics is greater than preset similarity threshold;
In method provided in an embodiment of the present invention, it is pre- to judge whether similarity corresponding with target face sample characteristics is greater than If similarity threshold, optionally, similarity threshold can be set to 96%.
S304: if similarity corresponding with the target face sample characteristics is greater than preset similarity threshold, determine To there are the face sample characteristics to match with the face characteristic in the property data base;
In method provided in an embodiment of the present invention, if similarity corresponding with target face sample characteristics is greater than preset phase It like degree threshold value, determines that face characteristic matches with the face characteristic in property data base, that is, determines the facial image currently captured For facial image corresponding to employee.
S305: if similarity corresponding with the target face sample characteristics is not more than preset similarity threshold, sentence It is set to the face sample characteristics for being not present in the property data base and matching with the face characteristic.
In method provided in an embodiment of the present invention, if similarity corresponding with target face sample characteristics is no more than preset Similarity threshold determines that the face sample characteristics in face characteristic and property data base mismatch, i.e., does not deposit in property data base In the face sample characteristics to match with face characteristic, then characterizing the facial image currently captured not is the corresponding face figure of employee Picture, but the facial image of other uncorrelated personnel.
Work attendance method provided in an embodiment of the present invention, by by the face sample characteristics in face characteristic and property data base It is compared, and calculates the similarity of face characteristic Yu each face sample characteristics, according to the phase with each face sample characteristics Like degree, to determine in property data base with the presence or absence of the face sample characteristics to match with face characteristic.Implement using the present invention The method that example provides, is compared by face characteristic, determines the identity information of employee, can prevent employee from replacing the behavior of attendance.
It should be noted that method provided in an embodiment of the present invention optionally obtains face characteristic and everyone calculating It, can will similarity corresponding with each face sample characteristics and preset similarity threshold after the similarity of face sample characteristics It is compared, to filter out the face sample characteristics for being greater than similarity threshold, and the face sample characteristics filtered out is arranged Sequence, to determine the highest face sample characteristics of similarity, wherein the highest face sample characteristics of similarity are characteristic The face sample characteristics to match in library with face characteristic.
It should be noted that method provided in an embodiment of the present invention can be adapted for the attendance of retail shop, retail is used The photo in high-definition camera whole day real-time grasp shoot shops in shops may be disposed at StoreFront for the camera of face shooting Into at shop door mouth, in cashier and shop elsewhere, the setting of camera need to ensure that all positions in StoreFront belong to In in coverage, and beyond the clouds, server carries out face recognition algorithms and carries out recognition of face, improves the efficiency of data processing, closes Townhouse shift plan table, can record any time shop in employee in shop situation.
Corresponding with method described in Fig. 1, the embodiment of the invention also provides a kind of Work attendance devices, for side in Fig. 1 The specific implementation of method, structural schematic diagram is as shown in figure 4, specifically include:
First acquisition unit 401, for obtaining the facial image currently captured, the people within the preset attendance period The candid photograph location information of the candid photograph time and the facial image of face image;
It is special to obtain the face that the facial image includes for identifying to the facial image for recognition unit 402 Sign;
First judging unit 403, for traversing the property data base constructed in advance, judge in the property data base whether In the presence of the face sample characteristics to match with the face characteristic;
First determination unit 404, if for there is the face to match with the face characteristic in the property data base Sample characteristics determine the corresponding identity information of the face sample characteristics;
First comparing unit 405, for obtaining corresponding with identity information planning chart of arranging an order according to class and grade, and by the candid photograph position Confidence breath is compared with the location information of arranging an order according to class and grade in the planning chart of arranging an order according to class and grade;
Second judgment unit 406, for when the position letter of arranging an order according to class and grade in the candid photograph location information and the planning chart of arranging an order according to class and grade When breath compares consistent, judge the candid photograph time whether within the preset working time;
Generation unit 407, if being generated and the identity information pair for the candid photograph time within the preset working time The real-time attendance report answered;
Second acquisition unit 408 for obtaining the time interval between the candid photograph time and reference time, and judges institute State whether time interval is greater than preset time threshold;The reference time is the preceding primary of the facial image currently captured The candid photograph time of candid photograph;
Storage unit 409 determines and the identity information pair if being greater than preset time threshold for the time interval The employee answered generates behavior of leaving post, and the behavior of leaving post is stored to the real-time attendance report.
Work attendance device provided in an embodiment of the present invention obtains the candid photograph time of the facial image, facial image currently captured The face characteristic for including with candid photograph location information, identification facial image, traverses the property data base constructed in advance, if characteristic There are the face sample characteristics to match with the face characteristic in library, determines the corresponding identity information of face sample characteristics, obtain Planning chart corresponding to the identity information of arranging an order according to class and grade is taken, and is located at arranging an order according to class and grade in position in planning chart of arranging an order according to class and grade when capturing position, and capture When time is within the preset working time, real-time attendance report corresponding to the identity information is generated, obtains and captures time and reference Time interval between time, and judge whether time interval is greater than preset time threshold, the reference time currently captures The preceding candid photograph time once captured of facial image determines and identity information pair if time interval is greater than preset time threshold The employee answered generates behavior of leaving post, and the behavior of leaving post is stored to real-time attendance report.Using Work attendance device provided by the invention, According to real-time grasp shoot facial image, recognition of face is carried out to the facial image of candid photograph, calculating is current to capture time and current candid photograph The time interval of the preceding candid photograph time once captured of time, by being with determination by the comparison of time interval and preset time It is no to there is employee to generate behavior of leaving post halfway, realize the situation of leaving post of real-time oversight employee.
In one embodiment of the invention, aforementioned schemes, Work attendance device are based on further include:
Third acquiring unit is believed for when the attendance end cycle, obtaining in the attendance period with the identity Cease corresponding all real-time attendance reports;
Second determination unit, for according to each real-time attendance report corresponding with the identity information candid photograph when Between, determine the first candid photograph time and the second candid photograph time;Described first captures the time as each real-time attendance report pair In the candid photograph time answered, earliest candid photograph time time, described second to capture the time be that each real-time attendance report is corresponding The candid photograph time in, the candid photograph time of time the latest;
Second comparing unit, for described first is captured the default work hours in time and the planning chart of arranging an order according to class and grade into Row compares, and the second candid photograph time was compared with the default quitting time in the planning chart of arranging an order according to class and grade, to generate and The corresponding checking-in result of the identity information.
In one embodiment of the invention, aforementioned schemes, Work attendance device are based on further include:
Third judging unit, for judging when receiving checking-in result change request corresponding with the identity information It whether include that audit passes through information in the checking-in result change request;
Updating unit, if for comprising according to the modification information in checking-in result change request, by the attendance knot Fruit carries out corresponding update;
Storage unit, if storing the modification information in checking-in result change request for not including.
In one embodiment of the invention, aforementioned schemes, Work attendance device are based on further include:
Prompt unit sends prompt information to preset client for behavior of leaving post according to described in.
In one embodiment of the invention, aforementioned schemes are based on, the first judging unit 403 is configured that
Coupling subelement, for carrying out each face sample characteristics in the property data base with the face characteristic It matches one by one, and generates similarity corresponding with each face sample characteristics;
Subelement is obtained, for according to the similarity corresponding with each face sample characteristics, acquisition similarity Highest target face sample characteristics;
Judgment sub-unit, for judging whether similarity corresponding with the target face sample characteristics is greater than preset phase Like degree threshold value;
First determines subelement, if being greater than for similarity corresponding with the target face sample characteristics preset similar Threshold value is spent, then is determined as there are the face sample characteristics to match with the face characteristic in the property data base;
Second determines subelement, if being not more than preset phase for similarity corresponding with the target face sample characteristics Like degree threshold value, then it is determined as in the property data base that there is no the face sample characteristics to match with the face characteristic.
The embodiment of the invention also provides a kind of storage medium, the storage medium includes the instruction of storage, wherein in institute It states the equipment where controlling the storage medium when instruction operation and executes above-mentioned Work attendance method.
The embodiment of the invention also provides a kind of electronic equipment, structural schematic diagram is as shown in figure 5, specifically include memory 501 and one perhaps more than one 502 one of them or more than one instruction of instruction 502 be stored in memory 501 In, and be configured to by one or more than one processor 503 execute the one or more instruction 502 carry out with Lower operation:
Within the preset attendance period, candid photograph time and the institute of the facial image, the facial image currently captured are obtained State the candid photograph location information of facial image;
The facial image is identified, the face characteristic that the facial image includes is obtained;
The property data base constructed in advance is traversed, judges to whether there is and the face characteristic phase in the property data base Matched face sample characteristics;
If there are the face sample characteristics to match with the face characteristic in the property data base, the face is determined The corresponding identity information of sample characteristics;
Obtain corresponding with identity information planning chart of arranging an order according to class and grade, and by the candid photograph location information and the plan of arranging an order according to class and grade Location information of arranging an order according to class and grade in table is compared;
When the location information of arranging an order according to class and grade in the candid photograph location information and the planning chart of arranging an order according to class and grade compares consistent, described in judgement The time is captured whether within the preset working time;
If the candid photograph time within the preset working time, generates real-time attendance report corresponding with the identity information Table;
The time interval between the candid photograph time and reference time is obtained, and it is pre- to judge whether the time interval is greater than If time threshold;The reference time is the preceding candid photograph time once captured of the facial image currently captured;
If the time interval is greater than preset time threshold, determines that employee corresponding with the identity information generates and leave post Behavior, and the behavior of leaving post is stored to the real-time attendance report.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For device class embodiment, since it is basically similar to the method embodiment, so being described relatively simple, related place ginseng See the part explanation of embodiment of the method.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged Except there is also other identical elements in the process, method, article or apparatus that includes the element.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this The function of each unit can be realized in the same or multiple software and or hardware when invention.
As seen through the above description of the embodiments, those skilled in the art can be understood that the present invention can It realizes by means of software and necessary general hardware platform.Based on this understanding, technical solution of the present invention essence On in other words the part that contributes to existing technology can be embodied in the form of software products, the computer software product It can store in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that a computer equipment (can be personal computer, server or the network equipment etc.) executes the certain of each embodiment or embodiment of the invention Method described in part.
A kind of Work attendance method provided by the present invention and device are described in detail above, it is used herein specifically Principle and implementation of the present invention are described for a example, the present invention that the above embodiments are only used to help understand Method and its core concept;At the same time, for those skilled in the art is being embodied according to the thought of the present invention There will be changes in mode and application range, in conclusion the contents of this specification are not to be construed as limiting the invention.

Claims (10)

1. a kind of Work attendance method characterized by comprising
Within the preset attendance period, the candid photograph time of facial image, the facial image that acquisition is currently captured and the people The candid photograph location information of face image;
The facial image is identified, the face characteristic that the facial image includes is obtained;
The property data base constructed in advance is traversed, judging whether there is in the property data base matches with the face characteristic Face sample characteristics;
If there are the face sample characteristics to match with the face characteristic in the property data base, the face sample is determined The corresponding identity information of feature;
Planning chart of arranging an order according to class and grade corresponding with the identity information is obtained, and will be in the candid photograph location information and the planning chart of arranging an order according to class and grade Location information of arranging an order according to class and grade be compared;
When the location information of arranging an order according to class and grade in the candid photograph location information and the planning chart of arranging an order according to class and grade compares consistent, the candid photograph is judged Whether the time is within the preset working time;
If the candid photograph time within the preset working time, generates real-time attendance report corresponding with the identity information;
The time interval between the candid photograph time and reference time is obtained, and it is preset to judge whether the time interval is greater than Time threshold;The reference time is the preceding candid photograph time once captured of the facial image currently captured;
If the time interval is greater than preset time threshold, determine that employee corresponding with the identity information generates row of leaving post For, and the behavior of leaving post is stored to the real-time attendance report.
2. the method according to claim 1, wherein further include:
When the attendance end cycle, all real-time attendance reports corresponding with the identity information in the attendance period are obtained Table;
According to the candid photograph time of each real-time attendance report corresponding with the identity information, determined for the first candid photograph time, And second capture the time;Described first to capture the time be the time in each real-time attendance report corresponding candid photograph time The earliest candid photograph time, described second to capture the time be in each real-time attendance report corresponding candid photograph time, and the time is most The candid photograph time in evening;
The first candid photograph time is compared with the default work hours in the planning chart of arranging an order according to class and grade, and described second is grabbed The bat time is compared with the default quitting time in the planning chart of arranging an order according to class and grade, to generate attendance corresponding with the identity information As a result.
3. according to the method described in claim 2, it is characterized in that, described generate checking-in result corresponding with the identity information Later, further includes:
When receiving checking-in result change request corresponding with the identity information, judge in the checking-in result change request It whether include that audit passes through information;
If comprising according to the modification information in checking-in result change request, the checking-in result is carried out corresponding update;
If not including, the modification information in checking-in result change request is stored.
4. the method according to claim 1, wherein described determine that employee corresponding with the identity information generates It leaves post after behavior, further includes:
It leaves post behavior according to described in, sends prompt information to preset client.
5. the method according to claim 1, wherein whether there is and institute in the judgement property data base State the face sample characteristics that face characteristic matches, comprising:
Each face sample characteristics in the property data base are matched one by one with the face characteristic, and generate with it is every The corresponding similarity of a face sample characteristics;
According to the similarity corresponding with each face sample characteristics, the highest target face sample spy of similarity is obtained Sign;
Judge whether similarity corresponding with the target face sample characteristics is greater than preset similarity threshold;
If similarity corresponding with the target face sample characteristics is greater than preset similarity threshold, it is determined as the feature There are the face sample characteristics to match with the face characteristic in database;
If similarity corresponding with the target face sample characteristics is not more than preset similarity threshold, it is determined as the spy There is no the face sample characteristics to match with the face characteristic in sign database.
6. a kind of Work attendance device characterized by comprising
First acquisition unit, within the preset attendance period, obtaining the facial image, the facial image currently captured Capture the candid photograph location information of time and the facial image;
Recognition unit obtains the face characteristic that the facial image includes for identifying to the facial image;
First judging unit, for traversing the property data base constructed in advance, judge in the property data base with the presence or absence of with The face sample characteristics that the face characteristic matches;
First determination unit, if special for there is the face sample to match with the face characteristic in the property data base Sign, determines the corresponding identity information of the face sample characteristics;
First comparing unit, for obtaining corresponding with identity information planning chart of arranging an order according to class and grade, and by the candid photograph location information It is compared with the location information of arranging an order according to class and grade in the planning chart of arranging an order according to class and grade;
Second judgment unit, for comparing one when the location information of arranging an order according to class and grade in the candid photograph location information and the planning chart of arranging an order according to class and grade When cause, judge the candid photograph time whether within the preset working time;
Generation unit, if generating reality corresponding with the identity information for the candid photograph time within the preset working time Shi Kaoqin report;
Second acquisition unit for obtaining the time interval between the candid photograph time and reference time, and judges the time Whether interval is greater than preset time threshold;The reference time is that the preceding of the facial image currently captured once is captured Capture the time;
Storage unit determines member corresponding with the identity information if being greater than preset time threshold for the time interval Work generates behavior of leaving post, and the behavior of leaving post is stored to the real-time attendance report.
7. device according to claim 6, which is characterized in that further include:
Third acquiring unit, for when the attendance end cycle, obtain in the attendance period with the identity information pair All real-time attendance reports answered;
Second determination unit, for according to each real-time attendance report corresponding with the identity information the candid photograph time, Determine the first candid photograph time and the second candid photograph time;The first candid photograph time is that each real-time attendance report is corresponding The candid photograph time in, earliest candid photograph time time, described second to capture the time be that each real-time attendance report is corresponding It captures in the time, the candid photograph time of time the latest;
Second comparing unit, for comparing the first candid photograph time with the default work hours in the planning chart of arranging an order according to class and grade It is right, and the second candid photograph time was compared with the default quitting time in the planning chart of arranging an order according to class and grade, with generation with it is described The corresponding checking-in result of identity information.
8. device according to claim 7, which is characterized in that further include:
Third judging unit, for when receiving the change request of corresponding with identity information checking-in result, described in judgement It whether include that audit passes through information in checking-in result change request;
Updating unit, if for comprising, according to the checking-in result change request in modification information, by the checking-in result into Row is corresponding to be updated;
Storage unit, if storing the modification information in checking-in result change request for not including.
9. device according to claim 6, which is characterized in that further include:
Prompt unit sends prompt information to preset client for behavior of leaving post according to described in.
10. device according to claim 6, which is characterized in that first judging unit, comprising:
Coupling subelement, for carrying out each face sample characteristics in the property data base one by one with the face characteristic Matching, and generate similarity corresponding with each face sample characteristics;
Subelement is obtained, for according to the similarity corresponding with each face sample characteristics, acquisition similarity highest Target face sample characteristics;
Judgment sub-unit, for judging whether similarity corresponding with the target face sample characteristics is greater than preset similarity Threshold value;
First determines subelement, if being greater than preset similarity threshold for similarity corresponding with the target face sample characteristics Value is then determined as there are the face sample characteristics to match with the face characteristic in the property data base;
Second determines subelement, if being not more than preset similarity for similarity corresponding with the target face sample characteristics Threshold value is then determined as in the property data base that there is no the face sample characteristics to match with the face characteristic.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110765958A (en) * 2019-10-29 2020-02-07 成都旺小宝科技有限公司 Channel risk control method, device and system based on face recognition
CN110782228A (en) * 2019-10-25 2020-02-11 上海燕汐软件信息科技有限公司 Working duration obtaining method and device, electronic equipment and storage medium
CN110942529A (en) * 2019-12-09 2020-03-31 张家界新浪潮信息技术有限公司 Wisdom attendance system
CN111160779A (en) * 2019-12-30 2020-05-15 厦门中控智慧信息技术有限公司 Priority-based scheduling and attendance management method, system and equipment
CN112600846A (en) * 2020-12-15 2021-04-02 中标慧安信息技术股份有限公司 Attendance management method and system based on Internet of things
CN112767569A (en) * 2020-12-18 2021-05-07 山东盛帆蓝海电气有限公司 Intelligent building personnel monitoring system and method based on face recognition
CN112991570A (en) * 2021-05-21 2021-06-18 中建电子商务有限责任公司 Work attendance working hour and night shift algorithm supporting out-of-order uploading

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101577812A (en) * 2009-03-06 2009-11-11 北京中星微电子有限公司 Method and system for post monitoring
CN101639894A (en) * 2009-08-31 2010-02-03 华南理工大学 Method for detecting train driver behavior and fatigue state on line and detection system thereof
CN103942850A (en) * 2014-04-24 2014-07-23 中国人民武装警察部队浙江省总队医院 Medical staff on-duty monitoring method based on video analysis and RFID (radio frequency identification) technology
CN204010050U (en) * 2014-06-12 2014-12-10 北京世纪华符科技有限公司 One is patrolled and examined real time location tracking system
CN106296112A (en) * 2016-07-28 2017-01-04 广州猫眼网络科技有限公司 Attendance checking system based on recognition of face, method and device thereof
CN106447814A (en) * 2016-09-18 2017-02-22 长沙军鸽软件有限公司 Method for checking attendance automatically through robot
CN107832954A (en) * 2017-11-14 2018-03-23 北京易信掌中云科技有限公司 One kind is inspected the sentries method and system
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
CN108876276A (en) * 2017-06-02 2018-11-23 北京旷视科技有限公司 Automatic Work attendance method and device based on recognition of face
CN109243000A (en) * 2018-10-29 2019-01-18 冼汉生 A kind of intelligent Checking on Work Attendance method, apparatus, terminal and computer readable storage medium
CN109308452A (en) * 2018-08-10 2019-02-05 中山全播网络科技有限公司 A kind of check class attendance image processing method based on recognition of face
CN109416845A (en) * 2017-11-27 2019-03-01 齐心商用设备(深圳)有限公司 The Work attendance method of attendance recorder, attendance recorder
CN109544718A (en) * 2018-11-20 2019-03-29 左凌云 A kind of Work attendance method and its system
US20190114470A1 (en) * 2017-10-18 2019-04-18 Gorilla Technology Inc. Method and System for Face Recognition Based on Online Learning

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101577812A (en) * 2009-03-06 2009-11-11 北京中星微电子有限公司 Method and system for post monitoring
CN101639894A (en) * 2009-08-31 2010-02-03 华南理工大学 Method for detecting train driver behavior and fatigue state on line and detection system thereof
CN103942850A (en) * 2014-04-24 2014-07-23 中国人民武装警察部队浙江省总队医院 Medical staff on-duty monitoring method based on video analysis and RFID (radio frequency identification) technology
CN204010050U (en) * 2014-06-12 2014-12-10 北京世纪华符科技有限公司 One is patrolled and examined real time location tracking system
CN106296112A (en) * 2016-07-28 2017-01-04 广州猫眼网络科技有限公司 Attendance checking system based on recognition of face, method and device thereof
CN106447814A (en) * 2016-09-18 2017-02-22 长沙军鸽软件有限公司 Method for checking attendance automatically through robot
CN108876276A (en) * 2017-06-02 2018-11-23 北京旷视科技有限公司 Automatic Work attendance method and device based on recognition of face
US20190114470A1 (en) * 2017-10-18 2019-04-18 Gorilla Technology Inc. Method and System for Face Recognition Based on Online Learning
CN107832954A (en) * 2017-11-14 2018-03-23 北京易信掌中云科技有限公司 One kind is inspected the sentries method and system
CN109416845A (en) * 2017-11-27 2019-03-01 齐心商用设备(深圳)有限公司 The Work attendance method of attendance recorder, attendance recorder
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
CN109308452A (en) * 2018-08-10 2019-02-05 中山全播网络科技有限公司 A kind of check class attendance image processing method based on recognition of face
CN109243000A (en) * 2018-10-29 2019-01-18 冼汉生 A kind of intelligent Checking on Work Attendance method, apparatus, terminal and computer readable storage medium
CN109544718A (en) * 2018-11-20 2019-03-29 左凌云 A kind of Work attendance method and its system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张浩: "《新编公文写作培训教程》", 31 January 2014, 北京:海潮出版社 *
文新宇等: "《现代电子信息技术在环境保护中的应用实例》", 30 September 2016, 湘潭:湘潭大学出版社 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110782228A (en) * 2019-10-25 2020-02-11 上海燕汐软件信息科技有限公司 Working duration obtaining method and device, electronic equipment and storage medium
CN110765958A (en) * 2019-10-29 2020-02-07 成都旺小宝科技有限公司 Channel risk control method, device and system based on face recognition
CN110942529A (en) * 2019-12-09 2020-03-31 张家界新浪潮信息技术有限公司 Wisdom attendance system
CN111160779A (en) * 2019-12-30 2020-05-15 厦门中控智慧信息技术有限公司 Priority-based scheduling and attendance management method, system and equipment
CN112600846A (en) * 2020-12-15 2021-04-02 中标慧安信息技术股份有限公司 Attendance management method and system based on Internet of things
CN112767569A (en) * 2020-12-18 2021-05-07 山东盛帆蓝海电气有限公司 Intelligent building personnel monitoring system and method based on face recognition
CN112991570A (en) * 2021-05-21 2021-06-18 中建电子商务有限责任公司 Work attendance working hour and night shift algorithm supporting out-of-order uploading
CN112991570B (en) * 2021-05-21 2021-08-03 中建电子商务有限责任公司 Work attendance working hour and night shift algorithm supporting out-of-order uploading

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