Personnel management method, device, equipment and computer-readable storage medium

Abstract

The present application provides a personnel management method, device, equipment and computer-readable storage medium, which obtains a first facial image collected by a collection device and the position information of the collection device; determines a target person based on the first facial image; determines the position information of the collection device as the position information of the target person at the collection time of the collection device, and thus determines the movement trajectory of the target person based on the position information of the target person at the collection time of the collection device, so as to manage the target person based on the movement trajectory (for example, assessment), which can facilitate enterprises to manage personnel.

Description

Technical Field

[0001] The present application relates to the technical field of personnel management, and in particular to a personnel management method, apparatus, device, and computer-readable storage medium. Background Art

[0002] In daily employee management, companies often encounter issues such as employees leaving the office at will or entering areas they shouldn't be in during the workday. This makes it difficult for many companies to track their employees' whereabouts. In certain specialized industries, faced with a large workforce and varying qualifications, management departments face a challenge: how to keep abreast of employees' dynamic information and movements, effectively manage them, and improve efficiency. Existing time clocks, card readers, and access control systems only capture employee activity information when employees actively swipe their cards. This inability to accurately and proactively capture employee activity information leads to weak management performance, resulting in inefficient personnel management and assessment, and frequent potential safety hazards. Summary of the Invention

[0003] In response to the above problems, the present application provides a personnel management method, apparatus, equipment and computer-readable storage medium, which can determine the location information of personnel and facilitate enterprises to manage personnel.

[0004] This application provides a personnel management method, including:

[0005] Acquire a first facial image acquired by an acquisition device and location information of the acquisition device;

[0006] determining a target person based on the first facial image;

[0007] The location information of the collection device is determined as the location information of the target person at the collection moment of the collection device.

[0008] The movement trajectory of the target person is determined based on the position information of the target person at the time of collection by the collection device.

[0009] In some embodiments, determining the target person based on the first facial image includes:

[0010] Preprocessing the first facial image to determine first facial feature information corresponding to the first facial image;

[0011] Calculating similarities between the first facial feature information and each piece of second facial feature information in a database;

[0012] Determining target second facial feature information based on the similarity;

[0013] The target person is determined based on the second target facial feature information and the corresponding relationship, wherein the corresponding relationship includes: a corresponding relationship between the second facial feature information and the basic information of the person.

[0014] In some embodiments, the method further comprises:

[0015] obtaining a second facial image of the person;

[0016] preprocessing the second facial image to determine second facial feature information corresponding to the second facial image;

[0017] Establishing a correspondence between the second facial feature information and basic information of the person;

[0018] The corresponding relationship is stored in the database.

[0019] In some embodiments, the method further comprises:

[0020] Obtaining environmental information of the environment corresponding to the running trajectory;

[0021] Determining whether there are safety hazards based on the operation trajectory and environmental information;

[0022] When safety hazards are identified, early warning information will be issued.

[0023] In some embodiments, the method further comprises:

[0024] Determining the preset location of the target person at the collection time;

[0025] When the location information of the target person at the time of collection by the collection device is different from the preset location, a prompt message is sent to the management personnel.

[0026] In some embodiments, the collection device includes multiple devices, wherein the multiple collection devices are respectively arranged at the entrance of the factory and inside the factory.

[0027] The present invention provides a personnel management device, including:

[0028] A first acquisition module is used to acquire a first face image acquired by an acquisition device and position information of the acquisition device;

[0029] A first determining module, configured to determine a target person based on the first facial image;

[0030] The second determining module is used to determine the location information of the collection device as the location information of the target person at the collection moment of the collection device.

[0031] In some embodiments, the first determining module includes:

[0032] a first determining unit, configured to preprocess the first facial image to determine first facial feature information corresponding to the first facial image;

[0033] a calculation unit, configured to calculate a similarity between the first facial feature information and each piece of second facial feature information in a database;

[0034] A second determining unit is configured to determine target second facial feature information based on the similarity;

[0035] The third determining unit is configured to determine the target person based on the second target facial feature information and a corresponding relationship, wherein the corresponding relationship includes: a corresponding relationship between the second facial feature information and the basic information of the person.

[0036] An embodiment of the present application provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the above-mentioned personnel management method is executed.

[0037] An embodiment of the present application provides a computer-readable storage medium, which stores a computer program that can be executed by one or more processors and can be used to implement the personnel management method described above.

[0038] The present application provides a personnel management method, device, equipment and computer-readable storage medium, which obtains a first facial image collected by a collection device and the position information of the collection device; determines a target person based on the first facial image; determines the position information of the collection device as the position information of the target person at the collection time of the collection device, and thus determines the movement trajectory of the target person based on the position information of the target person at the collection time of the collection device, so as to manage the target person based on the movement trajectory (for example, assessment), which can facilitate enterprises to manage personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Hereinafter, the present application will be described in more detail based on embodiments with reference to the accompanying drawings.

[0040] Figure 1 Schematic diagram of the implementation process of a personnel management method provided in an embodiment of the present application

[0041] Figure 2 A schematic diagram of the implementation flow of another personnel management method provided in an embodiment of the present application;

[0042] Figure 3 A schematic diagram of a personnel management device provided in an embodiment of the present application;

[0043] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0044] In the drawings, like components are given like reference numerals, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting this application. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0046] In the following description, reference is made to “some embodiments”, which describes a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0047] If similar descriptions of "first\second\third" appear in the application documents, the following explanation will be added. In the following description, the terms "first\second\third" are only used to distinguish similar objects and do not represent a specific order for the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0049] To address the problems in the related art, embodiments of the present application provide a personnel management method, which is applied to a shared terminal, which can be an electronic device such as a computer, mobile terminal, or server. The functions implemented by the personnel management method provided in embodiments of the present application can be implemented by a processor of the electronic device calling program code, wherein the program code can be stored in a computer storage medium.

[0050] The present application embodiment provides a personnel management method. Figure 1 A schematic diagram of the implementation flow of a personnel management method provided in an embodiment of the present application is shown as follows: Figure 1 Shown, including:

[0051] Step S101: Acquire a first face image acquired by an acquisition device and location information of the acquisition device.

[0052] In an embodiment of the present application, the electronic device may be communicatively connected to the acquisition device. The communication connection between the electronic device and the acquisition device may be a wired connection or a wireless connection. After the acquisition device acquires the first facial image, the acquisition device transmits the first facial image to the acquisition device, thereby enabling the electronic device to acquire the first facial image. The acquisition device may also transmit its own location information to the electronic device, thereby enabling the electronic device to acquire the location information of the acquisition device.

[0053] In some embodiments, the electronic device may also retrieve the first facial image captured by the acquisition device and the location information of the acquisition device from a storage device. After the acquisition device captures the first facial image, it may be stored in the storage device, and then retrieved from the storage device. The storage device may be a USB flash drive, for example.

[0054] In some embodiments, the electronic device may also obtain the location information of the collection device through user input, for example, the user inputs the location information of the collection device through a mouse or keyboard.

[0055] In some embodiments, the electronic device may pre-store a correspondence between the ID of a collection device and location information. When the collection device sends a first facial image to the electronic device, the electronic device may determine the ID of the collection device based on the first facial image, and then determine its location information based on the ID. For example, camera 1 corresponds to location 1, camera 2 corresponds to location 2, and camera 3 corresponds to location 3. Once the camera IDs are obtained, the person's location can be determined based on the correspondence between the cameras and their locations.

[0056] In some instances, the electronic device may obtain an image including a first facial image, and then obtain the first facial image from the image by cropping, scaling, etc. In the embodiment of the present application, the first facial image is a photo, video, or picture including a face.

[0057] In the embodiment of the present application, the acquisition device includes multiple devices, each of which may include a camera. Multiple acquisition devices are respectively located at the factory entrance and within the factory. Personnel information can typically be recorded using the acquisition device located at the factory entrance. For example, when a person enters the factory, their information is recorded, and then multiple acquisition devices within the factory capture the person's image.

[0058] It should be noted that before the process of this embodiment is carried out, before the personnel enter the image information, they can give the user a prompt to enter the information through a voice device or other devices.

[0059] Step S102: Determine a target person based on the first facial image.

[0060] In an embodiment of the present application, the first facial image can be preprocessed to determine the first facial feature information corresponding to the first facial image; the similarity between the first facial feature information and each second facial feature information in the database is calculated; based on the similarity, the target second facial feature information is determined; based on the second target facial feature information and the corresponding relationship, the target person is determined, wherein the corresponding relationship includes: the corresponding relationship between the second facial feature information and the basic information of the person.

[0061] In an embodiment of the present application, the first facial feature information can be represented by a feature vector. When calculating the similarity between the first facial feature and the second facial feature, the cosine value between the vector corresponding to the first facial feature information and the vector corresponding to the second facial feature information can be calculated to determine the similarity. The larger the cosine value, the greater the similarity.

[0062] In this embodiment of the present application, the second facial feature information with the greatest similarity can be determined as the target second facial feature. The second facial feature information in the corresponding relationship can be matched based on the target second facial feature information to determine the basic information of the person, thereby determining the target person. The basic information here is used to represent the target person. For example, the basic information can include the person's name, department, etc.

[0063] Prior to step S102, the method further includes: obtaining a second facial image of the person; preprocessing the second facial image to determine second facial feature information corresponding to the second facial image; establishing a correspondence between the second facial feature information and the basic information of the person; and storing the correspondence in the database. In this embodiment of the present application, facial recognition technology is used to construct a person database to facilitate user management.

[0064] Step S103: Determine the location information of the collection device as the location information of the target person at the time of collection by the collection device.

[0065] In an embodiment of the present application, since the acquisition device acquires the first facial image of the target person, it means that the target person is near the acquisition device at the time of acquisition, and the position information of the acquisition device can be determined as the position information of the target person at the time of acquisition by the acquisition device.

[0066] Step S104: determining the running track of the target person based on the location information of the target person at the time of collection by the collection device, so as to manage the target person based on the running track.

[0067] In an embodiment of the present application, the location information collected by multiple collection devices at the time of collection can be used to calculate the trajectory of the target person, thereby determining the target person's running trajectory, so that the target person can be managed based on the running trajectory. In an embodiment of the present application, the running trajectory can be sent to the management personnel, who can refer to the running trajectory for management. In some embodiments, the electronic device can compare the running trajectory with the preset trajectory and then evaluate and manage the target person.

[0068] In the embodiment of the present application, management includes: assessment, isolation, sending reminder information, etc.

[0069] For example, the corresponding time period can be determined based on the collection time. During this time period, the target person should be working in the workshop. If the movement trajectory shows that the target person is not working in the workshop, it means that the target person is off-duty. Therefore, the information of the target user leaving the job can be recorded, which is convenient for management and assessment.

[0070] For example, if there is a virus risk in the target person's movement trajectory, the manager can isolate the target person based on the movement trajectory.

[0071] For another example, when the target person's running trajectory is different from the target person's preset trajectory, a text message can be sent to remind the target person to return to his or her post in time.

[0072] The present application provides a personnel management method, which obtains a first facial image collected by a collection device and the position information of the collection device; determines a target person based on the first facial image; determines the position information of the collection device as the position information of the target person at the collection moment of the collection device, and thus determines the movement trajectory of the target person based on the position information of the target person at the collection moment of the collection device, so as to manage the target person based on the movement trajectory (for example, assessment), which can facilitate enterprises to manage personnel.

[0073] In some embodiments, after step S104, the method further includes:

[0074] Step S105: Acquire environmental information of the environment corresponding to the running track.

[0075] For example, environmental information may indicate the presence of a risk of virus infection. In an embodiment of the present application, environmental information of the environment corresponding to the running trajectory may be obtained through the Internet.

[0076] Step S106: Determine whether there is a safety hazard based on the running trajectory and environmental information.

[0077] Continuing with the above example, when the running trajectory has a risk of virus infection, it is determined that there is a safety hazard; when the running trajectory does not have a risk of virus infection, it is determined that there is no safety hazard.

[0078] Step S107: If it is determined that there is a potential safety hazard, a warning message is issued.

[0079] In the embodiments of the present application, the warning information can be used to prompt the target user to undergo inspection, isolation, etc. It can be sent to the target user via text message. In some embodiments, the warning information can also be sent to management personnel so that the management personnel can handle it. For example, when the management personnel handle it, they can dispatch personnel to deal with the safety hazard.

[0080] In some embodiments, after step S103, the method further includes:

[0081] Step S108: determining the preset position of the target person at the collection time.

[0082] In this embodiment of the present application, the preset location of the target person at the time of collection is pre-stored in the electronic device. For example, the preset location of the target person for each time period between 9:00 AM and 6:00 PM can be set. When the collection time is determined, the corresponding time period can be determined based on the collection time, and the preset location at the time of collection can be determined based on the correspondence between each time period and the preset location. For example, the preset location of employee A at the time of collection is the workshop.

[0083] Step S109 : When the location information of the target person at the time of collection by the collection device is different from the preset location, a prompt message is sent to the management personnel.

[0084] Continuing with the above example, if the preset location at the time of collection is inside the workshop, and the location information of the target person is outside the workshop, it means that the target person has left his post. Then, the information about the target person leaving his post can be sent to the manager so that the manager can promptly notify the target person to return to his post. In an embodiment of the present application, the prompt information sent to the manager can be a pop-up window directly output by the electronic device. In some embodiments, the prompt information can also be sent to the manager via text message. The manager can be a human resources personnel, management staff, etc.

[0085] Based on the above embodiments, the present invention further provides a personnel management method. Figure 2 A schematic diagram of an implementation flow of another personnel management method provided in an embodiment of the present application, the method comprising:

[0086] Step S201: Use facial AI technology to input the information of outsiders.

[0087] Facial information can be scanned and entered using facial recognition AI equipment at the factory entrance. The process begins by capturing and preprocessing facial images, building a facial feature module, setting facial identification criteria, and calculating facial matching to improve facial recognition rates. This includes facial detection, which extracts faces from images and defines boundaries; facial alignment, which uses a set of fixed reference points within the image to scale and crop facial images; facial representation, which converts the pixel values ​​of facial images into compact and predictable feature vectors; and facial matching, which selects and calculates the similarity score of two feature vectors to measure the likelihood that they belong to the same subject. 3D recognition technology is used to extract facial features and retrieve basic information about individuals.

[0088] Step S202: Compare the database.

[0089] Step S203: determine whether the employee is an employee of the enterprise.

[0090] Determine whether the outsider is an employee of the enterprise. If yes, execute step S204; otherwise, execute step S205.

[0091] Step S204: determining its trajectory in the factory area.

[0092] The cameras in the factory are equipped with facial recognition devices. They locate employees based on their facial features, and then locate the employee's location in the factory based on the position of the camera. After determining the employee's location, the movement trajectory of the employee in the factory is drawn in real time based on the motion trajectory algorithm.

[0093] Step S205: input information.

[0094] In the embodiment of the present application, after the information is entered, step S204 is continued.

[0095] Step S206: Analyze the potential safety hazards based on the vehicle's running trajectory and surrounding environment, and provide warning information.

[0096] The collected movement trajectory and surrounding environment are analyzed for potential safety hazards in the terminal using big data technology and an early warning analysis system. The analysis results of on-site events are compared with those of pre-set events to determine the personnel's location and work information in real time, ensuring information traceability and ensuring that the site is controllable and under control. This early warning system analyzes potential safety hazards, issues warnings, and retains on-site data for timely action by management personnel.

[0097] Step S207: Inform management personnel of the risk information.

[0098] Issue an alarm in real time to inform management personnel, so that they can take preventive measures in time, mobilize personnel, and eliminate safety hazards.

[0099] The personnel management method provided in the embodiment of the present application adopts facial AI technology to collect facial information and generate a database of enterprise employees. It is more efficient and accurate on the basis of traditional information collection. It uses big data technology to construct data of enterprise employees. In the enterprise, through comparison and query of employee information, point calculation and early warning, collision comparison and trajectory analysis, etc., early warning and employee information are processed, circulated, responded to, and evaluated.

[0100] Special statement: The target persons are aware of the collection and application of facial information in this application, and the application of the target persons' facial information does not exceed the scope of this application and is legal.

[0101] Based on the foregoing embodiments, the embodiments of the present application provide a personnel management device, and the modules included in the device, as well as the units included in each module, can be implemented by a processor in a computer device; of course, they can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MPU, Microprocessor Unit), a digital signal processor (DSP, Digital Signal Processing) or a field programmable gate array (FPGA, Field Programmable Gate Array), etc.

[0102] The present application embodiment provides a personnel management device, Figure 3 A schematic diagram of a personnel management device provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the personnel management device 300 includes:

[0103] A first acquisition module 301 is configured to acquire a first face image acquired by an acquisition device and location information of the acquisition device;

[0104] A first determining module 302, configured to determine a target person based on the first facial image;

[0105] A second determining module 303 is configured to determine the location information of the collection device as the location information of the target person at the time of collection by the collection device;

[0106] The third determining module 304 is configured to determine the target person's running track based on the location information of the target person at the time of collection by the collection device, so as to manage the target person based on the running track.

[0107] In some embodiments, the first determining module includes:

[0108] a first determining unit, configured to preprocess the first facial image to determine first facial feature information corresponding to the first facial image;

[0109] a calculation unit, configured to calculate a similarity between the first facial feature information and each piece of second facial feature information in a database;

[0110] A second determining unit is configured to determine target second facial feature information based on the similarity;

[0111] The third determining unit is configured to determine the target person based on the second target facial feature information and a corresponding relationship, wherein the corresponding relationship includes: a corresponding relationship between the second facial feature information and the basic information of the person.

[0112] In some embodiments, the personnel management device 300 is further used to:

[0113] obtaining a second facial image of the person;

[0114] preprocessing the second facial image to determine second facial feature information corresponding to the second facial image;

[0115] Establishing a correspondence between the second facial feature information and basic information of the person;

[0116] The corresponding relationship is stored in the database.

[0117] In some embodiments, the personnel management device 300 is further used to:

[0118] Obtaining environmental information of the environment corresponding to the running trajectory;

[0119] Determining whether there are safety hazards based on the operation trajectory and environmental information;

[0120] In some embodiments, the personnel management device 300 is further used to:

[0121] Determining the preset location of the target person at the collection time;

[0122] When the location information of the target person at the time of collection by the collection device is different from the preset location, a prompt message is sent to the management personnel.

[0123] In some embodiments, the collection device includes multiple devices, wherein the multiple collection devices are respectively arranged at the entrance of the factory and inside the factory.

[0124] It should be noted that, in the embodiment of the present application, if the above-mentioned personnel management method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM, Read Only Memory), a magnetic disk or an optical disk. In this way, the embodiment of the present application is not limited to any specific combination of hardware and software.

[0125] Accordingly, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the personnel management method provided in the above embodiment are implemented.

[0126] An embodiment of the present application provides an electronic device; Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the electronic device 700 includes: a processor 701, at least one communication bus 702, a user interface 703, at least one external communication interface 704, and a memory 705. The communication bus 702 is configured to enable communication between these components. The user interface 703 may include a display screen, and the external communication interface 704 may include a standard wired interface and a wireless interface. The processor 701 is configured to execute a program for the personnel management method stored in the memory to implement the steps of the personnel management method provided in the above-described embodiment.

[0127] The description of the above display device and storage medium embodiments is similar to the description of the above method embodiments and has similar beneficial effects as the method embodiments. For technical details not disclosed in the computer device and storage medium embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0128] It should be noted that the description of the above storage medium and device embodiments is similar to the description of the above method embodiments and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium and device embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0129] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments.

[0130] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0131] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0132] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0133] In addition, all functional units in the embodiments of the present application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the above-mentioned integrated units can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0134] Those skilled in the art will understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROMs), magnetic disks, optical disks, and other media that can store program codes.

[0135] Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a controller to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0136] The above is merely an embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A personnel management method, characterized in that: include: Acquire a first facial image acquired by an acquisition device and location information of the acquisition device; The collection device includes multiple ones, wherein the multiple collection devices are respectively arranged at the entrance of the factory area and inside the factory area; determining a target person based on the first facial image; Determining the location information of the collection device as the location information of the target person at the time of collection by the collection device; determining a running track of the target person based on the position information of the target person at the time of collection by the collection device, so as to manage the target person based on the running track; The method further comprises: Obtaining environmental information of the environment corresponding to the running trajectory; Determining whether there are safety hazards based on the operation trajectory and environmental information; Issue early warning information when safety hazards are identified; The method further comprises: Determining the preset location of the target person at the collection time; When the location information of the target person at the time of collection by the collection device is different from the preset location, a prompt message is sent to the management personnel.

2. The method according to claim 1, characterized in that The determining a target person based on the first facial image includes: Preprocessing the first facial image to determine first facial feature information corresponding to the first facial image; Calculating similarities between the first facial feature information and each piece of second facial feature information in a database; Determining target second facial feature information based on the similarity; The target person is determined based on the second target facial feature information and the corresponding relationship, wherein the corresponding relationship includes: a corresponding relationship between the second facial feature information and the basic information of the person.

3. The method according to claim 2, characterized in that The method further comprises: obtaining a second facial image of the person; preprocessing the second facial image to determine second facial feature information corresponding to the second facial image; Establishing a correspondence between the second facial feature information and basic information of the person; The corresponding relationship is stored in the database.

4. A personnel management device, characterized in that: include: A first acquisition module is configured to acquire a first facial image acquired by an acquisition device and location information of the acquisition device, wherein the acquisition device comprises a plurality of acquisition devices, wherein the plurality of acquisition devices are respectively arranged at the entrance of the factory area and within the factory area; A first determining module, configured to determine a target person based on the first facial image; A second determining module is configured to determine the location information of the collection device as the location information of the target person at the time of collection by the collection device; a third determining module, configured to determine a running track of the target person based on the position information of the target person at the time of collection by the collection device, so as to manage the target person based on the running track; The management device is also used to: Obtaining environmental information of the environment corresponding to the running trajectory; Determining whether there is a potential safety hazard based on the operating trajectory and environmental information, and issuing a warning message if a potential safety hazard is determined to exist; Determining the preset location of the target person at the collection time; When the location information of the target person at the time of collection by the collection device is different from the preset location, a prompt message is sent to the management personnel.

5. The management device according to claim 4, characterized in that: The first determining module includes: a first determining unit, configured to preprocess the first facial image to determine first facial feature information corresponding to the first facial image; a calculation unit, configured to calculate a similarity between the first facial feature information and each piece of second facial feature information in a database; A second determining unit is configured to determine target second facial feature information based on the similarity; The third determining unit is configured to determine the target person based on the second target facial feature information and a corresponding relationship, wherein the corresponding relationship includes: a corresponding relationship between the second facial feature information and the basic information of the person.

6. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the personnel management method according to any one of claims 1 to 3 is executed.

7. A computer-readable storage medium, characterized in that The computer program stored in the computer-readable storage medium can be executed by one or more processors and can be used to implement the personnel management method as described in any one of claims 1 to 3.

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