CN111696220A - Sign-in method and device - Google Patents
Sign-in method and device Download PDFInfo
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- CN111696220A CN111696220A CN201910180045.4A CN201910180045A CN111696220A CN 111696220 A CN111696220 A CN 111696220A CN 201910180045 A CN201910180045 A CN 201910180045A CN 111696220 A CN111696220 A CN 111696220A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/757—Matching configurations of points or features
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Abstract
The application provides a sign-in method and a device, wherein the method comprises the following steps: acquiring target face feature data of a target face picture acquired on site, and searching face feature data matched with the target face feature data from a preset face library; if the person information is found, updating the sign-in state of the person information corresponding to the found face feature data into a signed-in state; acquiring the check-in state of all the personnel information contained in the group to which the personnel information belongs, and counting the number of the checked-in personnel in the check-in state; and determining and outputting the sign-in state of the group according to the number of the personnel. The group identification is correspondingly set for each person in the face library, so that the persons belonging to the same group identification are classified into a group, when the person judges the sign-in condition, the sign-in state of the group is determined according to the number of the persons contained in the group to which the person belongs by counting, the sign-in state of the group is determined according to the number of the persons, the sign-in judgment of the group is realized, and the requirement for associating the individual individuals is met.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to a sign-in method and apparatus.
Background
At present, in order to avoid the problem that the participants need to sign in through swiping a card or signing, people propose a sign-in mode based on a face recognition technology, namely face data of the participants are prestored, then the face data of the participants are collected on site and compared with the prestored face data, and if the comparison is successful, the participants are considered and signed in. However, this check-in method can only carry out individual check-in for the participants, the check-in unit is an individual, and the individual cannot be associated correspondingly, so that check-in judgment for the group cannot be realized.
Disclosure of Invention
In view of the above, the present application provides a check-in method and apparatus to solve the problem that the check-in mode in the related art cannot achieve the check-in judgment of the group.
According to a first aspect of embodiments of the present application, there is provided a check-in method, the method including:
acquiring target face feature data of a target face picture acquired on site, and searching face feature data matched with the target face feature data from a preset face library, wherein the face library comprises the corresponding relation of the face feature data, personnel information and group identification;
if the person information is found, updating the sign-in state of the person information corresponding to the found face feature data into a signed-in state;
acquiring the check-in state of all the personnel information contained in the group to which the personnel information belongs, and counting the number of the checked-in personnel in the check-in state; all the personnel information contained in the group to which the personnel information belongs to the same group identifier;
and determining and outputting the sign-in state of the group according to the number of the personnel.
According to a second aspect of embodiments of the present application, there is provided a check-in apparatus, the apparatus comprising:
the searching module is used for acquiring target face feature data of a target face picture acquired on site and searching face feature data matched with the target face feature data from a preset face library, wherein the face library comprises the corresponding relation of the face feature data, personnel information and group identification;
the updating module is used for updating the sign-in state of the personnel information corresponding to the searched human face characteristic data into a checked-in state when the person information is searched;
the statistical module is used for acquiring the check-in states of all the personnel information contained in the group to which the personnel information belongs and counting the number of the checked-in personnel in the check-in state; all the personnel information contained in the group to which the personnel information belongs to the same group identifier;
and the prompt module is used for determining and outputting the sign-in state of the group according to the number of the personnel.
According to a third aspect of embodiments herein, there is provided an electronic device, the device comprising a readable storage medium and a processor;
wherein the readable storage medium is configured to store machine executable instructions;
the processor is configured to read the machine executable instructions on the readable storage medium and execute the instructions to implement the steps of the method according to the first aspect.
By applying the embodiment of the application, the target face feature data of the target face picture acquired on site is acquired, the face feature data matched with the target face feature data is searched from a preset face library (including the corresponding relation among the face feature data, the personnel information and the group identification), if the face feature data is searched, the check-in state of the personnel information corresponding to the searched face feature data is updated to be checked-in, then the check-in states of all the personnel information contained in the group to which the personnel information belongs are acquired, the number of the personnel whose check-in states are checked-in is counted, and the check-in state of the group is determined and output according to the number of the personnel.
Based on the description, the face library correspondingly sets the group identifier for each person, so that the persons belonging to the same group identifier can be classified into a group, when the person judges the sign-in condition, the sign-in state of the group is determined by counting the number of the persons included in the group to which the person belongs and determining the sign-in state of the group according to the number of the persons, the sign-in judgment of the group is realized, and the requirement of associating the individual individuals is met.
Drawings
FIG. 1A is a flow chart illustrating an embodiment of a check-in method according to an exemplary embodiment of the present application;
FIG. 1B is a diagram illustrating a community check-in display interface according to the embodiment of FIG. 1A;
FIG. 2 is a diagram of a hardware configuration of an electronic device according to an exemplary embodiment of the present application;
FIG. 3 is a block diagram of an embodiment of a check-in device according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
Because the check-in mode proposed in the related art can only carry out individual check-in on the participants, the check-in unit is an individual and can not carry out corresponding association on the individual, the check-in judgment of the group can not be realized.
When the check-in unit is a community, the community unit check-in is considered successful only if all members in the community check-in. For example, when schools work, students and family members are taken as a group unit in each class, and the check-in of the small group is considered to be successful only if the students and the family members check in, so that the check-in condition of each small group needs to be counted. For example, in the group building activities of a company, different groups need to complete the group building task, and all the people in the groups need to check in to participate in the task, so that the check-in condition of each group needs to be counted.
Based on this, in order to solve the above problems, the present application provides a check-in method, in which target face feature data of a target face picture acquired on site is acquired, face feature data matched with the target face feature data is searched from a preset face library (including a corresponding relationship between the face feature data, staff information, and a group identifier), if the face feature data is found, a check-in state of the staff information corresponding to the found face feature data is updated to be checked-in, then check-in states of all the staff information included in a group to which the staff information belongs are acquired, the check-in states are counted as the checked-in number, and the check-in states of the group are determined and output according to the staff number.
Based on the description, the face library correspondingly sets the group identifier for each person, so that the persons belonging to the same group identifier can be classified into a group, when the person judges the sign-in condition, the sign-in state of the group is determined by counting the number of the persons included in the group to which the person belongs and determining the sign-in state of the group according to the number of the persons, the sign-in judgment of the group is realized, and the requirement of associating the individual individuals is met.
The technical solution of the present application is explained in detail by the following specific examples.
Fig. 1A is a flowchart of an embodiment of a check-in method according to an exemplary embodiment of the present application, where the embodiment may be applied to an electronic device, and the electronic device may be communicatively connected to image capturing devices disposed at different check-in locations to implement a function of determining group check-in. As shown in fig. 1A, the check-in method includes the following steps:
step 101: the method comprises the steps of obtaining target face feature data of a target face picture collected on site, and searching face feature data matched with the target face feature data from a preset face library.
Before step 101 is executed, when receiving a sample data set of externally input people to be checked, the device may extract face feature data of each face sample contained in the sample data set, extract person information corresponding to the face sample from the sample data set, store the extracted person information and the face feature data in a face library, set a group identifier for each person information in the face library, and classify the person information belonging to the same group identifier into a group.
As an example, the person information may include any one of or a combination of various information such as a name, an identification number, a contact address, a face picture, and the like.
In a possible implementation manner of the present application, in the process of setting the group identifier for each piece of people information in the face library, each piece of people information in the face library may be output and presented, so that a user sets a corresponding group identifier for each piece of people information according to actual requirements, and receives and records the group identifier for each piece of people information, which is input externally.
It should be noted that different face libraries may be set in the device, the identification (i.e., face library ID) of each face library is different, and each face library may include a plurality of group identifications (i.e., group IDs), so that a plurality of groups may be categorized in each face library.
In an embodiment, in a process of acquiring target face feature data of a target face picture acquired in a field, when an apparatus acquires the target face picture from an image acquisition apparatus arranged at each location, the apparatus extracts the target face feature data of the target face picture.
In an embodiment, for the process of searching the face feature data matched with the target face feature data from the face library, the similarity between the target face feature data and the face feature data may be determined for each face feature data in the face library, and then the face feature data greater than the similarity threshold value is selected from the determined similarities as the face feature data matched with the target face feature data.
As an example, if there are a plurality of face feature data greater than the similarity threshold, one face feature data with the highest similarity may be selected as the face feature data matched with the target face feature data. And if the determined similarity does not have the face feature data larger than the similarity threshold, indicating that no data matched with the target face feature data exists, determining that the search fails, and ending the current process.
Step 102: and if the person information is found, updating the sign-in state of the person information corresponding to the found face feature data into the checked-in state.
In an embodiment, before updating the check-in state of the person information corresponding to the searched face feature data to be checked-in, it may be determined whether the check-in state of the person information is not checked-in, if yes, the check-in state of the person information corresponding to the searched face feature data is updated to be checked-in; if not, the prompt information of multiple sign-ins of the same person is output, so that the group sign-in result is presented only when a new person signs.
Step 103: and acquiring the check-in state of all the personnel information contained in the group to which the personnel information belongs, and counting the number of the checked-in personnel in the check-in state.
Step 104: and determining and outputting the sign-in state of the group according to the number of the personnel.
In one embodiment, if the number of the people is less than the preset number of people corresponding to the group, outputting a prompt message that the check-in state of the group is not checked-in; and if the number of the personnel is not less than the preset number of the personnel corresponding to the group, outputting the prompt information that the check-in state of the group is checked-in.
As an example, the preset number of people corresponding to the group is set by the user according to actual needs.
In one embodiment, when the check-in state of the group is output, all the staff information contained in the group and the check-in state of all the staff information can be output at the same time, so that a user can know which staff check in the group and which staff do not check in.
In an exemplary scenario, as shown in fig. 1B, after searching a face library through target face feature data of a target face picture acquired by an acquired image acquisition device on site, person information corresponding to the searched face feature data is: and fifthly, updating the sign-in state of the fifth Wang to be signed in, counting the number of the persons who are contained in the group 1 to which the fifth Wang belongs and have signed in information to be 3, and if the preset number of the persons corresponding to the group 1 is 3, determining and outputting the sign-in state of the group 1 to be signed in.
The person skilled in the art can understand that, when presenting the group check-in situation, in addition to presenting the check-in state of the group and the check-in state of each person, a face picture corresponding to the checked-in person may be presented, or the number of the checked-in persons and the number of the checked-in persons of the group may be counted and presented, so that the user may know the detailed check-in situation of each person in the group, which is not limited in the present application.
It should be noted that, after the check-in state of the person information corresponding to the found face feature data is updated to be checked-in, the acquisition time of the target face picture may be taken as the check-in time of the person information and recorded. Therefore, after the check-in operation is completed, the group check-in conditions at different times can be searched, namely, an externally input search instruction carrying designated time and group identification is received, the check-in time of all personnel information contained in the group corresponding to the group identification is obtained, the number of personnel with the check-in time less than the designated time is counted, and if the number of personnel is less than the preset number of people corresponding to the group, a prompt that the check-in state of the group at the designated time is not checked-in is output; and if the number of the personnel is not less than the preset number of the personnel corresponding to the group, outputting a prompt that the sign-in state of the group at the appointed time is signed in.
In the embodiment of the application, target face feature data of a target face picture acquired on site are acquired, face feature data matched with the target face feature data are searched from a preset face library (including a corresponding relation among the face feature data, personnel information and a group identifier), if the face feature data are searched, the check-in state of the personnel information corresponding to the searched face feature data is updated to be checked-in, then check-in states of all personnel information included in a group to which the personnel information belongs are acquired, the number of the personnel whose check-in states are checked-in is counted, and the check-in state of the group is determined and output according to the number of the personnel.
Based on the description, the face library correspondingly sets the group identifier for each person, so that the persons belonging to the same group identifier can be classified into a group, when the person judges the sign-in condition, the sign-in state of the group is determined by counting the number of the persons included in the group to which the person belongs and determining the sign-in state of the group according to the number of the persons, the sign-in judgment of the group is realized, and the requirement of associating the individual individuals is met.
Fig. 2 is a hardware block diagram of an electronic device according to an exemplary embodiment of the present application, where the electronic device includes: a communication interface 201, a processor 202, a machine-readable storage medium 203, and a bus 204; wherein the communication interface 201, the processor 202 and the machine-readable storage medium 203 communicate with each other via a bus 204. The processor 202 may execute the check-in method described above by reading and executing machine executable instructions corresponding to the control logic of the check-in method in the machine readable storage medium 203, and the specific content of the method is referred to the above embodiments and will not be described herein again.
The machine-readable storage medium 203 referred to herein may be any electronic, magnetic, optical, or other physical storage device that can contain or store information such as executable instructions, data, and the like. For example, the machine-readable storage medium may be: volatile memory, non-volatile memory, or similar storage media. In particular, the machine-readable storage medium 203 may be a RAM (random Access Memory), a flash Memory, a storage drive (e.g., a hard drive), any type of storage disk (e.g., an optical disk, a DVD, etc.), or similar storage medium, or a combination thereof.
Fig. 3 is a block diagram of an embodiment of a check-in apparatus according to an exemplary embodiment of the present application, the check-in apparatus including:
the searching module 310 is configured to obtain target face feature data of a target face picture acquired in a field, and search, from a preset face library, face feature data matched with the target face feature data, where the face library includes a correspondence relationship between the face feature data, staff information, and a group identifier;
the updating module 320 is used for updating the sign-in state of the personnel information corresponding to the searched human face feature data into a signed-in state when the person information is searched;
the counting module 330 is configured to obtain check-in states of all the personal information included in the group to which the personal information belongs, and count the number of checked-in persons in the check-in states; all the personnel information contained in the group to which the personnel information belongs to the same group identifier;
and the prompt module 340 is configured to determine and output the check-in state of the group according to the number of the people.
In an optional implementation manner, the prompt module 340 is specifically configured to output a prompt message that the check-in status of the group is not checked-in if the number of the people is less than a preset number of people corresponding to the group; and if the number of the personnel is not less than the preset number of the personnel corresponding to the group, outputting the prompt information that the check-in state of the group is checked-in.
In an optional implementation manner, the prompting module 340 is further configured to determine whether the check-in state of the person information is a non-check-in state before the updating module 320 updates the check-in state of the person information corresponding to the found face feature data to be a checked-in state; if yes, updating the sign-in state of the personnel information corresponding to the searched human face feature data into a signed-in state; if not, outputting prompt information of multiple sign-ins of the same person.
In an optional implementation manner, the prompt module 340 is further configured to output all the person information included in the group and the check-in status of all the person information when the check-in status of the group is output.
In an alternative implementation, the apparatus further comprises (not shown in fig. 3):
the recording module is used for taking the acquisition time of the target face picture as the sign-in time of the personnel information and recording the acquisition time after the sign-in state of the personnel information corresponding to the searched face feature data is updated to be signed in by the updating module;
the device further comprises (not shown in fig. 3):
the retrieval module is used for receiving an externally input retrieval instruction carrying the specified time and the group identifier; acquiring the check-in time of all the personnel information contained in the group corresponding to the group identification, and counting the number of the personnel of which the check-in time is less than the designated time; if the number of the personnel is less than the preset number of the personnel corresponding to the group, outputting a prompt that the sign-in state of the group at the specified time is not signed in; and if the number of the personnel is not less than the preset number of the personnel corresponding to the group, outputting a prompt that the sign-in state of the group at the appointed time is signed in.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (10)
1. A check-in method, the method comprising:
acquiring target face feature data of a target face picture acquired on site, and searching face feature data matched with the target face feature data from a preset face library, wherein the face library comprises the corresponding relation of the face feature data, personnel information and group identification;
if the person information is found, updating the sign-in state of the person information corresponding to the found face feature data into a signed-in state;
acquiring the check-in state of all the personnel information contained in the group to which the personnel information belongs, and counting the number of the checked-in personnel in the check-in state; all the personnel information contained in the group to which the personnel information belongs to the same group identifier;
and determining and outputting the sign-in state of the group according to the number of the personnel.
2. The method of claim 1, wherein determining and outputting the check-in status of the community based on the number of people comprises:
if the number of the personnel is less than the preset number of the personnel corresponding to the group, outputting a prompt message that the sign-in state of the group is not signed in;
and if the number of the personnel is not less than the preset number of the personnel corresponding to the group, outputting the prompt information that the check-in state of the group is checked-in.
3. The method according to claim 1, wherein before the check-in status of the person information corresponding to the found face feature data is updated to be checked-in, the method further comprises:
judging whether the check-in state of the personnel information is a check-in state;
if yes, updating the sign-in state of the personnel information corresponding to the searched human face feature data into a signed-in state;
if not, outputting prompt information of multiple sign-ins of the same person.
4. The method of claim 1, further comprising:
and when the check-in state of the group is output, outputting all the personnel information contained in the group and the check-in state of all the personnel information.
5. The method according to claim 1, wherein after the check-in status of the person information corresponding to the found face feature data is updated to be checked-in, the method further comprises:
taking the acquisition time of the target face picture as the sign-in time of the personnel information and recording the sign-in time;
the method further comprises the following steps:
receiving an externally input retrieval instruction carrying designated time and a group identifier;
acquiring the check-in time of all the personnel information contained in the group corresponding to the group identification, and counting the number of the personnel of which the check-in time is less than the designated time;
if the number of the personnel is less than the preset number of the personnel corresponding to the group, outputting a prompt that the sign-in state of the group at the specified time is not signed in;
and if the number of the personnel is not less than the preset number of the personnel corresponding to the group, outputting a prompt that the sign-in state of the group at the appointed time is signed in.
6. A check-in apparatus, the apparatus comprising:
the searching module is used for acquiring target face feature data of a target face picture acquired on site and searching face feature data matched with the target face feature data from a preset face library, wherein the face library comprises the corresponding relation of the face feature data, personnel information and group identification;
the updating module is used for updating the sign-in state of the personnel information corresponding to the searched human face characteristic data into a checked-in state when the person information is searched;
the statistical module is used for acquiring the check-in states of all the personnel information contained in the group to which the personnel information belongs and counting the number of the checked-in personnel in the check-in state; all the personnel information contained in the group to which the personnel information belongs to the same group identifier;
and the prompt module is used for determining and outputting the sign-in state of the group according to the number of the personnel.
7. The apparatus of claim 6,
the prompt module is specifically used for outputting prompt information that the sign-in state of the group is not signed in if the number of the personnel is less than the preset number of people corresponding to the group; and if the number of the personnel is not less than the preset number of the personnel corresponding to the group, outputting the prompt information that the check-in state of the group is checked-in.
8. The apparatus of claim 6,
and the prompt module is also used for outputting all the personnel information contained in the group and the check-in state of all the personnel information when the check-in state of the group is output.
9. The apparatus of claim 6, further comprising:
the recording module is used for taking the acquisition time of the target face picture as the sign-in time of the personnel information and recording the acquisition time after the sign-in state of the personnel information corresponding to the searched face feature data is updated to be signed in by the updating module;
the device further comprises:
the retrieval module is used for receiving an externally input retrieval instruction carrying the specified time and the group identifier; acquiring the check-in time of all the personnel information contained in the group corresponding to the group identification, and counting the number of the personnel of which the check-in time is less than the designated time; if the number of the personnel is less than the preset number of the personnel corresponding to the group, outputting a prompt that the sign-in state of the group at the specified time is not signed in; and if the number of the personnel is not less than the preset number of the personnel corresponding to the group, outputting a prompt that the sign-in state of the group at the appointed time is signed in.
10. An electronic device, characterized in that the device comprises a readable storage medium and a processor;
wherein the readable storage medium is configured to store machine executable instructions;
the processor configured to read the machine executable instructions on the readable storage medium and execute the instructions to implement the steps of the method of any one of claims 1-5.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910180045.4A CN111696220A (en) | 2019-03-11 | 2019-03-11 | Sign-in method and device |
| PCT/CN2020/075285 WO2020173314A1 (en) | 2019-02-27 | 2020-02-14 | Personnel statistical method and device and electronic device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910180045.4A CN111696220A (en) | 2019-03-11 | 2019-03-11 | Sign-in method and device |
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| CN111696220A true CN111696220A (en) | 2020-09-22 |
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| CN201910180045.4A Pending CN111696220A (en) | 2019-02-27 | 2019-03-11 | Sign-in method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112669480A (en) * | 2020-12-08 | 2021-04-16 | 安徽鸿程光电有限公司 | Data processing method and device, terminal equipment and storage medium |
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