Attendance method, device and electronic equipment

Abstract

The present invention relates to the field of electronic information technology, and provides an attendance method, device and electronic equipment. The electronic equipment includes a first camera and a second camera. The method and device obtain a specified first attendance time and location information, and then use the first camera to obtain first feature information of at least one user, and use the second camera to obtain second feature information of at least one user, wherein the first feature information includes at least one feature of each user, and the second feature information includes the first feature information and facial feature information. Finally, according to the first attendance time and location information, the first feature information and the second feature information, the first attendance result of the user is obtained by analysis. Through the above method, device and electronic equipment, the accuracy of the attendance detection result is improved.

Description

Technical Field

[0001] The present invention relates to the field of electronic information technology, and in particular to an attendance method, device and electronic equipment. Background Art

[0002] Current attendance methods include radio frequency cards, fingerprint recognition, location recognition, face recognition, etc. The current face recognition attendance method mainly extracts face features and compares them with existing face feature data to obtain recognition results.

[0003] However, when there are a large number of users who need attendance recognition, there will be a problem that some faces are not recognized properly, so that accurate attendance results cannot be obtained. Summary of the invention

[0004] The main technical problem solved by the embodiments of the present invention is to provide an attendance method, device and electronic equipment to solve the technical problem of low accuracy of attendance detection results in related technologies.

[0005] In order to solve the above technical problems, a technical solution adopted in an embodiment of the present invention is: to provide an attendance method applied to an electronic device, wherein the electronic device includes a first camera and a second camera, and the method includes:

[0006] Obtain the first specified attendance time and location information;

[0007] Acquire first feature information of at least one user through the first camera, where the first feature information includes at least one feature of each user;

[0008] Acquire second feature information of at least one user through the second camera, where the second feature information includes the first feature information and facial feature information;

[0009] A first attendance result of the user is obtained by analyzing the first attendance time and location information, the first feature information, and the second feature information.

[0010] Optionally, obtaining a first attendance result of the user according to the first attendance time and location information, the first feature information, and the second feature information analysis includes:

[0011] Compare the first feature information with the second feature information to obtain facial feature information of a user having the same first feature information, and determine the identity of the user based on the facial feature information;

[0012] Acquire the check-in time and check-in location of the user whose identity is confirmed according to the first characteristic information;

[0013] The clock-in time and the clock-in location are compared with the first attendance time and location information. If the clock-in time and the clock-in location match the first attendance time and location information, the user's attendance is recorded as normal; otherwise, the user is recorded as late.

[0014] Optionally, when the identity of the user cannot be determined according to the first feature information and the second feature information, the method further includes:

[0015] The first camera outputs a prompt message, wherein the prompt message is used to remind the user to turn his head according to the prompt message so as to collect the user's facial information.

[0016] Optionally, the method further includes:

[0017] collecting, through the first camera, third feature information of users passing through an area corresponding to the first camera, the third feature information including at least one feature of each user and a time when the user passed through the area;

[0018] Obtain the specified second attendance time and location information;

[0019] The second attendance result of the user is obtained by analyzing the second characteristic information, the third characteristic information, and the second attendance time and location information.

[0020] Optionally, obtaining the second attendance result of the user according to the analysis of the second characteristic information, the third characteristic information, and the second attendance time and location information includes:

[0021] Comparing the second feature information with the third feature information to determine the identity of a user passing through an area corresponding to the first camera;

[0022] According to the third characteristic information, obtaining the time when the user whose identity is determined last passed through the area;

[0023] The time when the user last passed through the area is compared with the second attendance time and location information. If the time when the user last passed through the area matches the second attendance time and location information, the user's attendance is recorded as normal; otherwise, the user is recorded as leaving early or absent.

[0024] Optionally, the method further includes:

[0025] collecting the user's behavior through the second camera;

[0026] The behavior is analyzed to obtain the working status or learning status of the user.

[0027] In order to solve the above technical problems, another technical solution adopted in the embodiment of the present invention is: to provide an attendance device applied to an electronic device, wherein the electronic device includes a first camera and a second camera, and the device includes:

[0028] A first acquisition module, used to acquire a specified first attendance time and location information;

[0029] A second acquisition module, configured to acquire first feature information of at least one user through the first camera, where the first feature information includes at least one feature of each user;

[0030] A third acquisition module, configured to acquire second feature information of at least one user through the second camera, where the second feature information includes the first feature information and facial feature information;

[0031] The first processing module is used to obtain a first attendance result of the user according to the first attendance time and location information, the first feature information and the second feature information.

[0032] Optionally, the first processing module is specifically used to:

[0033] Compare the first feature information with the second feature information to obtain facial feature information of a user having the same first feature information, and determine the identity of the user based on the facial feature information;

[0034] Acquire the check-in time and check-in location of the user whose identity is confirmed according to the first characteristic information;

[0035] The clock-in time and the clock-in location are compared with the first attendance time and location information. If the clock-in time and the clock-in location match the first attendance time and location information, the user's attendance is recorded as normal; otherwise, the user is recorded as late.

[0036] Optionally, when the identity of the user cannot be determined according to the first feature information and the second feature information, the device further includes:

[0037] A prompt module is used to output prompt information through the first camera, and the prompt information is used to remind the user to turn his head according to the prompt information to collect the user's facial information.

[0038] In order to solve the above technical problems, another technical solution adopted in the embodiment of the present invention is: to provide an electronic device, the electronic device comprising:

[0039] at least one processor;

[0040] a first camera in communication with the at least one processor;

[0041] a second camera in communication with the at least one processor;

[0042] a memory communicatively coupled to the at least one processor;

[0043] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described above based on the first camera and the second camera.

[0044] Different from the related art, the beneficial effect of the present invention is: an attendance method, device and electronic device are provided in the embodiment of the present invention, the electronic device includes a first camera and a second camera, the method and device obtain the specified first attendance time and location information, and then use the first camera to obtain the first feature information of at least one user, and use the second camera to obtain the second feature information of at least one user, wherein the first feature information includes at least one feature of each user, and the second feature information includes the first feature information and facial feature information, and finally the first attendance result of the user is obtained according to the first attendance time and location information, the first feature information and the second feature information. Through the above method, device and electronic device, the accuracy of the attendance detection result is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] One or more embodiments are exemplarily described by corresponding drawings, which do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and the figures in the drawings do not constitute proportional limitations unless otherwise stated.

[0046] Figure 1 It is a flowchart of an attendance method provided by an embodiment of the present invention;

[0047] Figure 2 is a flow chart of an attendance method provided by another embodiment of the present invention;

[0048] Figure 3 It is a schematic diagram of attendance for an attendance method provided by an embodiment of the present invention;

[0049] Figure 4 It is a behavior analysis display diagram about the attendance method provided by an embodiment of the present invention;

[0050] Figure 5 It is a structural block diagram of an attendance device provided by an embodiment of the present invention;

[0051] Figure 6 is a structural block diagram of an attendance device provided by another embodiment of the present invention;

[0052] Figure 7 A structural block diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] It should be noted that, if there is no conflict, the various features in the embodiments of the present invention can be combined with each other, and all are within the protection scope of the present invention. In addition, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flow chart, in some cases, the steps shown or described can be performed in a different order from the module division in the device schematic diagram or the order in the flow chart.

[0055] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this specification includes any and all combinations of one or more of the related listed items.

[0056] See also Figure 1 , Figure 1 1 is a flow chart of an attendance method provided by an embodiment of the present invention. The attendance method is applied to an electronic device, the electronic device includes a first camera and a second camera, and the method includes the following steps:

[0057] S01. Obtain the first specified attendance time and location information.

[0058] Specifically, the first attendance time and location information are stored in the database of the electronic device, and the electronic device can be used in many places. For example, a school, that is, the first attendance time and the location information are entered while the electronic device is installed in the school, and the first attendance time and the location information will correspond to user information, wherein the first attendance time is the time of class, the location information is the location of the classroom, the user can be a student, and the user information includes the user's facial information, class, schedule and name, and after arriving at a certain time, the student information corresponding to this class is obtained by obtaining the first attendance time and location information. Another example is a company, that is, the first attendance time and the location information are entered while the electronic device is installed in the office, the first attendance time is the time of work, and the location information is the location of the office, wherein the first attendance time and the location information are associated with the personal information of the person working, and the personal information includes the user's facial information, department, name and position.

[0059] S02. Acquire first feature information of at least one user through the first camera, where the first feature information includes at least one feature of each user.

[0060] The first camera may be a face recognition camera, and the first feature information includes the face, hairstyle, clothing, height and body shape of the user. The face recognition camera may be placed in many places. For example, a classroom, that is, the face recognition camera may be placed at the door of the classroom, and the face recognition camera may be used to photograph users passing by the door, record the time of photographing the user, and collect the first feature information of the user. When a large number of people pass by the face recognition camera, the face recognition camera may obtain at least one feature of the user.

[0061] S03. Acquire second feature information of at least one user through the second camera, where the second feature information includes the first feature information and facial feature information.

[0062] The second camera includes the face recognition camera. The second camera can be installed in the classroom. The second feature information of the user can be obtained through the second camera. The second feature information includes the face information of the user and at least one feature of the user.

[0063] S04. Obtain a first attendance result of the user according to the first attendance time and location information, the first characteristic information and the second characteristic information.

[0064] The first feature information is compared with the second feature information. When a feature in the first feature information is the same as a feature in the second feature information, the face information of the user with the same feature can be obtained, and the database is compared according to the face information to obtain the class, schedule and name of the user corresponding to the face information. Then, the punch-in time and punch-in location of the user captured by the first camera are obtained, and the punch-in time and punch-in location are compared with the class time and location information of the first attendance time to determine whether the punch-in time and location are consistent with the class time and location information of the first attendance time. If the information is consistent, the user is in attendance normally. If the punch-in time is later than the first attendance time, the user is late.

[0065] Among them, when the identity of the user cannot be determined based on the first feature information and the second feature information, the electronic device will output prompt information through the first camera, and the prompt information includes reminding the user to turn his head according to the prompt information to collect the user's facial information.

[0066] For details, please refer to Figure 2 , Figure 2 : is a flow chart of an attendance method provided by another embodiment of the present invention, the method comprising:

[0067] S11. Collect, through the first camera, third feature information of users passing through an area corresponding to the first camera, where the third feature information includes at least one feature of each user and the time when the user passes through the area.

[0068] The first camera includes a face recognition camera, and the first camera can be installed in many places. For example, at the door of a classroom, that is, the first camera is installed at the door of the classroom, and the first camera will collect the third feature information of the user passing by the door in real time, and record the time when the user is photographed, wherein the third feature information includes the face image, height, hairstyle and clothing of the user, and the first camera will collect at least one feature information of the user.

[0069] S12. Obtain the specified second attendance time and location information.

[0070] Specifically, the electronic device can be used in a school, and the second attendance time and the location information are stored in a database of the electronic device, the second attendance time includes the time when get out of class ends, and the location information includes the floor and house number of the classroom, wherein the second attendance information corresponds to the first attendance information, the first attendance information is the class time, and the second attendance information is the class end time.

[0071] S13. Obtain a second attendance result of the user according to the second characteristic information, the third characteristic information, and the second attendance time and location information.

[0072] Obtain the second characteristic information captured by the second camera, compare the third characteristic information with the second characteristic information, determine the identity of the user passing by the first camera, and obtain the time when the user last passed by the first camera, and determine whether the time is earlier than the second attendance time by comparing the time with the second attendance time. If the time is earlier than the second attendance time, it proves that the user has left early. If not, the user's attendance is normal.

[0073] If, after the second attendance time, neither the first camera nor the second camera obtains the characteristic information of the user, it is determined that the user did not attend the class. At this time, it is determined whether the user has asked for leave, and if not, the user is absent from class.

[0074] See also Figure 3 , Figure 3 Schematic diagram of attendance of an attendance method provided by an embodiment of the present invention, such as Figure 3 As shown, the attendance diagram includes the user's facial image, name, class, check-in time and the most recent clock-in time. The attendance platform will determine whether the user has normal attendance, leaves early, is late or is absent based on the user's check-in time and the most recent clock-in time, and finally calculate the attendance rate, lateness rate, early leave rate, leave rate and absenteeism rate based on the attendance situation and the total number of people.

[0075] Specifically, in some embodiments, the second camera is also used to collect the user's behavior, and the user's behavior is judged by collecting the user's body key points through the second camera, wherein the key points include the head, elbows, palms, back of the eyes, etc., and the behaviors include listening carefully, writing, raising hands, playing with mobile phones and lying on the table, etc., and the user's work status and learning status are judged by analyzing the behaviors.

[0076] See also Figure 4 , Figure 4 is a behavior analysis display diagram of an attendance method provided by an embodiment of the present invention, such as Figure 4The statistical graph includes behaviors such as listening, reading, writing, raising hands, standing up, playing with mobile phones and lying on the table, among which listening, reading, writing, raising hands and standing up are active behaviors in class, while playing with mobile phones and lying on the table are negative behaviors. By obtaining the user's behavior, the percentage of each behavior is calculated and the percentage of the positive behavior and the negative behavior are counted, and finally a trend graph of class participation is obtained.

[0077] An embodiment of the present invention provides an attendance method, which obtains a specified first attendance time and location information, then uses a first camera of the electronic device to obtain first feature information of at least one user, and then uses a second camera of the electronic device to obtain second feature information of at least one user, wherein the first feature information includes at least one feature of each user, and the second feature information includes the first feature information and facial feature information. Finally, the first attendance result of the user is obtained based on the first attendance time and location information, the first feature information and the second feature information. Through the above method, the accuracy of the attendance detection result is improved.

[0078] It should be noted that in each of the above embodiments, there is not necessarily a certain order between the above steps. A person skilled in the art can understand, based on the description of the embodiments of the present application, that in different embodiments, the above steps may have different execution orders, that is, they may be executed in parallel, may be executed interchangeably, and so on.

[0079] As another aspect of the embodiment of the present application, the embodiment of the present application provides an attendance device 1. Figure 5 The attendance device 1 includes: a first acquisition module 11, a first acquisition module 12, a third acquisition module 13, a first processing module 14 and a prompt module 15.

[0080] The first acquisition module 11 is used to acquire the specified first attendance time and location information.

[0081] The second acquisition module 12 is used to acquire first feature information of at least one user through the first camera, where the first feature information includes at least one feature of each user.

[0082] The third acquisition module 13 is used to acquire second feature information of at least one user through the second camera, where the second feature information includes the first feature information and facial feature information.

[0083] The first processing module 14 is used to analyze and obtain a first attendance result of the user according to the first attendance time and location information, the first feature information and the second feature information.

[0084] Specifically, the first feature information is compared with the second feature information. When a feature in the first feature information is the same as a feature in the second feature information, the face information of the user with the same feature can be obtained, and the database is compared according to the face information to obtain the class, schedule and name of the user corresponding to the face information. Then, the punch-in time and punch-in location of the user captured by the first camera are obtained, and the punch-in time and punch-in location are compared with the class time and location information of the first attendance time to determine whether the punch-in time and location are consistent with the class time and location information of the first attendance time. If the information is consistent, the user is in attendance normally. If the punch-in time is later than the first attendance time, the user is late.

[0085] The prompt module 15 is used to output prompt information through the first camera, and the prompt information is used to remind the user to turn his head according to the prompt information to collect the user's facial information.

[0086] In some embodiments, see Figure 6 , Figure 6 A schematic diagram of an attendance device provided in another embodiment of the present invention is shown in FIG. Figure 6 As shown, the attendance device 1 further includes a fourth acquisition module 21 , a fifth acquisition module 22 and a second processing module 23 .

[0087] The fourth acquisition module 21 is used to collect third feature information of users passing through the area corresponding to the first camera through the first camera, and the third feature information includes at least one feature of each user and the time when the user passes through the area.

[0088] The fifth acquisition module 22 is used to acquire the specified second attendance time and location information.

[0089] The second processing module 23 is used to analyze and obtain the second attendance result of the user according to the second characteristic information, the third characteristic information and the second attendance time and location information.

[0090] Specifically, the second characteristic information captured by the second camera is obtained, the third characteristic information is compared with the second characteristic information, the identity of the user passing by the first camera is determined, and the time when the user last passed by the first camera is obtained, and by comparing the time with the second attendance time, it is determined whether the time is earlier than the second attendance time. If the time is earlier than the second attendance time, it proves that the user has left early. If not, the user's attendance is normal.

[0091] If, after the second attendance time, neither the first camera nor the second camera obtains the characteristic information of the user, it is determined that the user did not attend the class. At this time, it is determined whether the user has asked for leave, and if not, the user is absent from class.

[0092] It should be noted that the above attendance device can execute the attendance method provided in the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details not fully described in the embodiment of the attendance device, please refer to the attendance method provided in the embodiment of the present invention.

[0093] See also Figure 7 The embodiment of the present invention provides an electronic device 30, the electronic device 30 includes: at least one processor 31, Figure 7 In the example, a processor 31 is used; the memory 32 connected to the at least one processor 31 in communication, Figure 7 The example of connecting through bus is taken in the following.

[0094] The memory 32 stores instructions that can be executed by the at least one processor 31, and the instructions are executed by the at least one processor 31 so that the at least one processor 31 can execute the above-mentioned attendance method.

[0095] The memory 32 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the attendance method in the embodiment of the present invention, for example, Figure 7 The processor 31 executes various functional applications and data processing of the electronic device 30 by running the non-volatile software programs, instructions and modules stored in the memory 32, that is, implements the attendance method in the above method embodiment.

[0096] The memory 32 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function. In addition, the memory 32 may include a high-speed random access memory and may also include a non-volatile memory. For example, it may include at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 32 may optionally include a memory remotely arranged relative to the processor 31.

[0097] The one or more modules are stored in the memory 32, and when executed by the one or more processors 31, the attendance method in any of the above method embodiments is executed, for example, the attendance method described above is executed. Figure 1 , Figure 2 The method steps in .

[0098] The electronic device 30 is also connected to other devices for better executing the method provided by the embodiment of the present invention, such as being electrically connected to a display screen or other displays, being remotely connected to a communication device of a target user, etc., which are not listed here one by one.

[0099] The electronic device can execute the method provided by the embodiment of the present invention, and has a functional module corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0100] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0101] Through the description of the above implementation methods, ordinary technicians in this field can clearly understand that each implementation method can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware. Ordinary technicians in this field can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Under the concept of the present invention, the technical features in the above embodiments or different embodiments may also be combined, the steps may be implemented in any order, and there are many other changes in different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person of ordinary skill in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. An attendance method, applied to an electronic device, the electronic device comprising a first camera and a second camera, characterized in that: include: Obtain the first specified attendance time and location information; Acquire first feature information of at least one user through the first camera, where the first feature information includes at least one feature of each user; Acquire second feature information of at least one user through the second camera, where the second feature information includes the first feature information and facial feature information; Obtaining a first attendance result of the user according to the first attendance time and location information, the first feature information, and the second feature information; The user's body key points are collected by the second camera to determine the user's behavior, and the user's working status and learning status are determined by analyzing the behavior; The step of obtaining the first attendance result of the user according to the first attendance time and location information, the first feature information, and the second feature information includes: Compare the first feature information with the second feature information to obtain facial feature information of a user having the same first feature information, and determine the identity of the user based on the facial feature information; Acquire the check-in time and check-in location of the user whose identity is confirmed according to the first characteristic information; The clock-in time and the clock-in location are compared with the first attendance time and location information. If the clock-in time and the clock-in location match the first attendance time and location information, the user's attendance is recorded as normal; otherwise, the user is recorded as late.

2. The method according to claim 1, characterized in that In a case where the identity of the user cannot be determined according to the first feature information and the second feature information, the method further includes: The first camera outputs a prompt message, wherein the prompt message is used to remind the user to turn his head according to the prompt message so as to collect the user's facial information.

3. The method according to claim 2, characterized in that The method further comprises: collecting, through the first camera, third feature information of users passing through an area corresponding to the first camera, the third feature information including at least one feature of each user and a time when the user passed through the area; Obtain the specified second attendance time and location information; The second attendance result of the user is obtained by analyzing the second characteristic information, the third characteristic information, and the second attendance time and location information.

4. The method according to claim 3, characterized in that The obtaining of the second attendance result of the user according to the analysis of the second characteristic information, the third characteristic information and the second attendance time and location information comprises: Comparing the second feature information with the third feature information to determine the identity of a user passing through an area corresponding to the first camera; According to the third characteristic information, obtaining the time when the user whose identity is determined last passed through the area; The time when the user last passed through the area is compared with the second attendance time and location information. If the time when the user last passed through the area matches the second attendance time and location information, the user's attendance is recorded as normal; otherwise, the user is recorded as leaving early or absent.

5. An attendance device, applied to an electronic device, the electronic device comprising a first camera and a second camera, characterized in that: include: A first acquisition module, used to acquire a specified first attendance time and location information; A second acquisition module, configured to acquire first feature information of at least one user through the first camera, where the first feature information includes at least one feature of each user; A third acquisition module, configured to acquire second feature information of at least one user through the second camera, where the second feature information includes the first feature information and facial feature information; A first processing module, configured to obtain a first attendance result of the user according to the first attendance time and location information, the first characteristic information and the second characteristic information; Wherein, the first processing module is specifically used for: Compare the first feature information with the second feature information to obtain facial feature information of a user having the same first feature information, and determine the identity of the user based on the facial feature information; Acquire the check-in time and check-in location of the user whose identity is confirmed according to the first characteristic information; The clock-in time and the clock-in location are compared with the first attendance time and location information. If the clock-in time and the clock-in location match the first attendance time and location information, the user's attendance is recorded as normal; otherwise, the user is recorded as late.

6. The device according to claim 5, characterized in that In a case where the identity of the user cannot be determined according to the first feature information and the second feature information, the device further includes: A prompt module is used to output prompt information through the first camera, and the prompt information is used to remind the user to turn his head according to the prompt information to collect the user's facial information.

7. An electronic device, characterized in that: include: at least one processor; a first camera in communication with the at least one processor; a second camera in communication with the at least one processor; a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the method according to any one of claims 1 to 4 based on the first camera and the second camera.

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