Head and face device recognition method, device, equipment and storage medium

Abstract

The present invention belongs to the technical field of Internet of Things, and discloses a head and face device recognition method, device, equipment and storage medium. The present invention obtains a facial image of a person to be tested, and obtains identification information displayed by the head and face device of the person to be tested, and then identifies the head and face device according to the facial image and the identification information, and when the head and face device is successfully identified, the head and face device is used to perform behavior recognition on the person to be tested. The present invention obtains a facial image of the person to be tested to identify the head and face device, and can accurately identify the identity of the user of the head and face device, and can accurately identify the connection status between the mobile terminal and the head and face device according to the identification information displayed by the head and face device. When the head and face device is successfully identified, the head and face device is used to perform behavior recognition on the person to be tested, so that the user's behavior can be accurately identified to determine whether the user's behavior is abnormal.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a head and face device recognition method, device, equipment and storage medium. Background Art

[0002] At present, due to the needs of behavior supervision and recording, there is a need to determine whether a specific person uses a specific device to perform a certain behavior based on smart devices in daily work and life without supervision. For example: 1. The transportation company requires the driver of the operating vehicle to use the mobile alcohol detection device regularly before or during the job to detect whether the driver himself is driving with alcohol or drunk driving by blowing; 2. The security department requires the inspector to report regularly before or during the job that the inspector himself wears a smart helmet dedicated to inspection; 3. Parents require their children to wear eye massagers regularly to use their eyes scientifically. The core demand of the above demand scenarios is to prevent the tested person from cheating, to avoid situations such as the use of head and facial devices by imposters, failure to use head and facial devices as required, or failure to wear head and facial devices as required. Therefore, how to accurately identify the identity of the user of the head and facial device, and further accurately identify the user's behavior, has become an urgent problem to be solved.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a head and face device recognition method, device, equipment and storage medium, aiming to solve the technical problem of how to accurately identify the identity of the user of the head and face device and further accurately identify the user's behavior.

[0005] To achieve the above object, the present invention provides a head and face device recognition method, the head and face device recognition method comprising the following steps:

[0006] Obtaining a facial image of the person to be tested, and obtaining identification information displayed by a head and facial device of the person to be tested;

[0007] Identify the head and face device according to the face image and the identification information;

[0008] When the head and face device recognizes successfully, the behavior of the person to be tested is recognized by the head and face device.

[0009] Optionally, the step of identifying the head and face device according to the face image and the identification information specifically includes:

[0010] Identify the head and face device according to the face image and preset identity information;

[0011] The identification information is matched with random identification information generated by the mobile terminal, and the head and face device is identified according to the matching result.

[0012] Optionally, the step of identifying the head and face device according to the face image and preset identity information specifically includes:

[0013] Performing face recognition on the face image to obtain face feature information;

[0014] Obtain preset identity information from a preset database;

[0015] The facial feature information is compared with the preset identity information, and the head and face device is identified according to the comparison result.

[0016] Optionally, the step of comparing the facial feature information with the preset identity information and identifying the head and facial device according to the comparison result specifically includes:

[0017] Comparing the facial feature information with the preset identity information to obtain a similarity;

[0018] When the similarity is greater than a preset value, it is determined that the identity information recognition is successful.

[0019] Optionally, the step of matching the identification information with random identification information generated by a mobile terminal and identifying the head and facial device according to the matching result specifically includes:

[0020] matching the identification information with random identification information generated by the mobile terminal;

[0021] When the match is successful, it is determined that the identification information is successfully recognized;

[0022] When the identity information recognition is successful and the identification information recognition is successful, it is determined that the head and face device recognition is successful.

[0023] Optionally, when the head and face device recognizes successfully, the step of performing behavior recognition on the person to be tested by the head and face device specifically includes:

[0024] When the head and face device is successfully recognized, a preset behavior corresponding to the head and face device is obtained;

[0025] The behavior of the person to be tested is identified according to the preset behavior and the behavior of the person to be tested.

[0026] Optionally, the step of obtaining a facial image of the person to be tested and obtaining identification information displayed by a head and facial device of the person to be tested includes:

[0027] The target image of the person to be tested in the photographable and identifiable area is captured by the camera on the mobile terminal;

[0028] Extracting the face image of the person to be tested and the display image of the head and face device from the target image;

[0029] The identification information displayed by the head and face device is obtained from the displayed image.

[0030] In addition, to achieve the above-mentioned purpose, the present invention also provides a head and face device recognition device, the head and face device recognition device comprising:

[0031] An information acquisition module is used to acquire a facial image of a person to be tested and to acquire identification information displayed by a head and facial device of the person to be tested;

[0032] A device identification module, used to identify the head and face device according to the face image and the identification information;

[0033] The behavior recognition module is used to perform behavior recognition on the person to be tested through the head and face device when the head and face device recognizes successfully.

[0034] In addition, to achieve the above-mentioned purpose, the present invention also proposes a head and face device recognition device, which includes: a memory, a processor, and a head and face device recognition program stored in the memory and executable on the processor, and the head and face device recognition program is configured to implement the steps of the head and face device recognition method described above.

[0035] In addition, to achieve the above objectives, the present invention also proposes a storage medium, on which a head and facial device recognition program is stored, and when the head and facial device recognition program is executed by a processor, the steps of the head and facial device recognition method described above are implemented.

[0036] The present invention obtains the face image of the person to be tested and the identification information displayed by the head and face device of the person to be tested, and then identifies the head and face device according to the face image and the identification information, and when the head and face device is successfully identified, the head and face device is used to perform behavior recognition on the person to be tested. The present invention obtains the face image of the person to be tested and identifies the head and face device, and can accurately identify the identity of the user of the head and face device, and can accurately identify the connection status between the mobile terminal and the head and face device according to the identification information displayed by the head and face device, and when the head and face device is successfully identified, the head and face device is used to perform behavior recognition on the person to be tested, so that the user's behavior can be accurately identified to determine whether the user's behavior is abnormal. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1It is a structural diagram of a head and face device recognition device in a hardware operating environment involved in an embodiment of the present invention;

[0038] Figure 2 It is a flowchart of the first embodiment of the head and face device recognition method of the present invention;

[0039] Figure 3 A schematic diagram of the flow chart of the second embodiment of the head and face device recognition method of the present invention;

[0040] Figure 4 This is a structural block diagram of the first embodiment of the head and face device recognition apparatus of the present invention.

[0041] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0042] 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.

[0043] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of a head and face device recognition device in the hardware operating environment involved in the embodiment of the present invention.

[0044] like Figure 1 As shown, the head and face device recognition device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0045] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the head and face recognition device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0046] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a head and face device recognition program.

[0047] exist Figure 1 In the head and face device recognition device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the head and face device recognition device of the present invention can be set in the head and face device recognition device, and the head and face device recognition device calls the head and face device recognition program stored in the memory 1005 through the processor 1001, and executes the head and face device recognition method provided by the embodiment of the present invention.

[0048] Based on the above head and face device recognition device, the embodiment of the present invention provides a head and face device recognition method, referring to Figure 2 , Figure 2 FIG. 1 is a flow chart of a first embodiment of a head and face device recognition method according to the present invention.

[0049] In this embodiment, the head and face device recognition method includes the following steps:

[0050] Step S10: obtaining a facial image of the person to be tested, and obtaining identification information displayed by a head and facial device of the person to be tested;

[0051] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a mobile phone, a tablet computer, etc., or an electronic device or a head and face device recognition device that can realize the above functions. The head and face device recognition device is taken as an example to illustrate this embodiment and the following embodiments.

[0052] It is understandable that the person to be tested refers to a person wearing a head and facial device, and the identification information refers to the information displayed on the head and facial device, such as: numbers, letters, text, symbols, patterns, etc. This embodiment does not impose specific restrictions on this.

[0053] Furthermore, in order to accurately obtain facial images and identification information, in this embodiment, step S10 includes: collecting a target image of the person to be tested in the photographable and identifiable area through the camera on the mobile terminal; extracting the facial image of the person to be tested and the display image of the head and face device from the target image; and obtaining the identification information displayed by the head and face device from the display image.

[0054] It should be understood that in this embodiment, the image can be captured by the camera on the mobile terminal, and specifically, the target image of the person to be tested in the photographable area can be captured.

[0055] It is understandable that the target image needs to include the facial image of the person to be tested and the display image of the head and facial equipment. If not, the camera needs to re-capture until all are included.

[0056] In a specific implementation, a display module may be provided on the head and face device in this embodiment. The display module is composed of one or more display devices that can display numbers, letters, text, symbols or other specific patterns, and can display static or dynamic images for identifying the identity of the device as needed. The display device can be a digital tube display, a cathode ray tube display (CRT), a light-emitting diode display (LED), an electronic ink, an electroluminescent display (ELD), a thin film transistor display (TFT), an organic light-emitting semiconductor display (OLED), a surface-conduction electron-emitter display (SED), a laser display (Laser video display), a carbon nanotube display (Carbon nanotubes), a quantum dot display (Quantum dot display), an interferometric modulator display (IMOD), a split-flap display, a flip-disc display, a rollsign, a braille display (Tactile electronic displays, also called refreshable braille display), a tell-tale device, and the like.

[0057] Specifically, the displayed image may include a display module on the head and face device, and the identification information is the information displayed on the display module.

[0058] Step S20: identifying the head and face device according to the face image and the identification information;

[0059] It is understandable that by acquiring the facial image of the person to be tested to identify the head and facial device, the identity of the user of the head and facial device can be accurately identified, and the connection status between the mobile terminal and the head and facial device can be accurately identified based on the identification information displayed by the head and facial device.

[0060] In the specific implementation, the mobile terminal will randomly generate an identification information, such as numbers, letters, etc., and then send the identification information to the head and face device for display on the display module on the head and face device. If the displayed identification information is the same as the identification information sent by the mobile terminal, it means that the mobile terminal is successfully connected to the head and face device.

[0061] Step S30: When the head and face device recognizes successfully, the behavior of the person to be tested is recognized by the head and face device.

[0062] Furthermore, in order to accurately perform behavior recognition on the person to be tested, in this embodiment, the step S30 includes: when the head and face device recognizes successfully, obtaining the preset behavior corresponding to the head and face device; and performing behavior recognition on the person to be tested based on the preset behavior and the behavior of the person to be tested.

[0063] It is understandable that the preset behaviors corresponding to different types of head and face devices are not the same. For example, when the head and face device is an alcohol detection device, the preset behavior is S1081: the alcohol detection device waits for the person to be tested to blow. If the driver does not blow and the waiting time exceeds 1 minute, the process terminates; if the person to be tested starts to blow, continue to execute sub-step S1082; S1082: After the driver starts to blow, sampling should start when the volume of exhaled gas is greater than 1 liter. When the duration of exhaled gas during sampling is greater than 2.5 seconds, it is considered "sufficient blowing". When the exhalation flow rate is less than 0.10 liters per second, it should be considered as an exhalation interruption; if an interruption occurs during the exhalation process, the alcohol detection device should terminate sampling and send an "exhalation interruption" signal to the mobile terminal; after receiving the "exhalation interruption" signal, the mobile terminal reminds the driver to blow again and returns to execute the previous sub-step S1081. When the driver starts to blow, the mobile terminal repeats step S20 to ensure that the driver is using the alcohol detector and continues to blow until the blowing behavior is judged as "sufficient blowing"; if the driver's blowing behavior is judged as "sufficient blowing", continue to execute sub-step S1083. S1083: The alcohol detector sends the measured value of the exhaled gas alcohol content (in milligrams per liter) sampled this time to the mobile terminal; continue to execute step S1084. S1084: The mobile terminal receives the measured value of the exhaled gas alcohol content sent by the alcohol detection device, and calculates the blood alcohol content (in milligrams per hundred milliliters), whether it is driving under the influence, whether it is drunk driving and other information based on it, and then sends the above information together with the identity information of the person to be tested to the background through the mobile network, and the process ends.

[0064] This embodiment obtains the facial image of the person to be tested and the identification information displayed by the head and facial device of the person to be tested, and then identifies the head and facial device according to the facial image and the identification information, and when the head and facial device is successfully identified, the head and facial device is used to perform behavior recognition on the person to be tested. This embodiment obtains the facial image of the person to be tested and identifies the head and facial device, so that the identity of the user of the head and facial device can be accurately identified, and the connection status between the mobile terminal and the head and facial device can be accurately identified according to the identification information displayed by the head and facial device. When the head and facial device is successfully identified, the head and facial device is used to perform behavior recognition on the person to be tested, so that the user's behavior can be accurately identified to determine whether the user's behavior is abnormal.

[0065] refer to Figure 3 , Figure 3 FIG. 4 is a flow chart of a second embodiment of a head and face device recognition method according to the present invention.

[0066] Based on the above first embodiment, in this embodiment, step S20 includes:

[0067] Step S201: Identify the head and face device according to the face image and preset identity information;

[0068] Furthermore, in order to accurately identify the head and facial devices, in this embodiment, the step S201 includes: performing facial recognition on the facial image to obtain facial feature information; obtaining preset identity information from a preset database; comparing the facial feature information with the preset identity information, and identifying the head and facial device based on the comparison result.

[0069] It is understandable that face recognition is a biometric technology that identifies a person based on their facial features. It uses a camera or a camera to collect images or video streams containing faces, automatically detects and tracks faces in the images, and then performs face recognition on the detected faces. In this embodiment, face feature information can be obtained by performing face recognition on face images.

[0070] In a specific implementation, the preset database refers to a pre-established database. For example, if a bus company needs to conduct alcohol testing, the preset database stores the preset identity information of all drivers of the bus company, which may include name, age, face, etc. After comparing the facial feature information with the preset identity information, the head and face device can be identified based on the comparison result, that is, whether it is the driver himself who is operating the alcohol testing device.

[0071] Furthermore, in order to accurately identify the identity information of the person to be tested, in the present embodiment, the step of comparing the facial feature information with the preset identity information and identifying the head and face device according to the comparison result specifically includes: comparing the facial feature information with the preset identity information to obtain the similarity; when the similarity is greater than the preset value, determining that the identity information recognition is successful.

[0072] It should be noted that the preset value refers to a pre-set value, and the specific value can be set according to the actual situation. This embodiment does not impose any specific restrictions on this.

[0073] It is understandable that after comparing the facial feature information with the preset identity information, the driver who is most similar to the person to be tested can be obtained, and then the similarity between the facial feature information of the person to be tested and the driver can be obtained. When the similarity is greater than the preset value, it is determined that the identity information recognition is successful, that is, the driver himself is operating the alcohol detection equipment.

[0074] Step S202: Match the identification information with the random identification information generated by the mobile terminal, and identify the head and face device according to the matching result.

[0075] It is understandable that, taking the alcohol detection device as an example, before the person to be tested undergoes the alcohol detection process, the driver needs to log in to the mobile terminal, start the mobile terminal, and connect the mobile terminal and the alcohol detection device through Bluetooth pairing.

[0076] Furthermore, in order to accurately identify the head and facial devices, in this embodiment, the step S202 includes: matching the identification information with the random identification information generated by the mobile terminal; when the match is successful, determining that the identification information is successfully identified; when the identity information is successfully identified and the identification information is successfully identified, determining that the head and facial device is successfully identified.

[0077] It should be understood that after the mobile terminal is successfully paired with the alcohol detection device, the mobile terminal will generate random identification information, such as numbers, letters, etc., and will send the random identification information to the display module on the alcohol detection device. When the identification information displayed on the display module is the same as the random identification information, it means that the match is successful and the identification information is successfully recognized.

[0078] In a specific implementation, when the identity information is recognized successfully and the identification information is recognized successfully, it is determined that the head and face device recognition is successful.

[0079] This embodiment identifies the head and face device according to the face image and the preset identity information, then matches the identification information with the random identification information generated by the mobile terminal, and identifies the head and face device according to the matching result. This embodiment can accurately identify the user identity of the head and face device according to the face image, and can accurately identify the connection status between the mobile terminal and the head and face device according to the identification information displayed by the head and face device.

[0080] Reference Figure 4 , Figure 4 This is a structural block diagram of the first embodiment of the head and face device recognition apparatus of the present invention.

[0081] like Figure 4 As shown, the head and face device recognition device proposed in the embodiment of the present invention includes:

[0082] The information acquisition module 10 is used to acquire the face image of the person to be tested and to acquire the identification information displayed by the head and face device of the person to be tested;

[0083] A device identification module 20, configured to identify the head and face device according to the face image and the identification information;

[0084] The behavior recognition module 30 is used to perform behavior recognition on the person to be tested through the head and face device when the head and face device recognizes successfully.

[0085] This embodiment obtains the facial image of the person to be tested and the identification information displayed by the head and facial device of the person to be tested, and then identifies the head and facial device according to the facial image and the identification information, and when the head and facial device is successfully identified, the head and facial device is used to perform behavior recognition on the person to be tested. This embodiment obtains the facial image of the person to be tested and identifies the head and facial device, so that the identity of the user of the head and facial device can be accurately identified, and the connection status between the mobile terminal and the head and facial device can be accurately identified according to the identification information displayed by the head and facial device. When the head and facial device is successfully identified, the head and facial device is used to perform behavior recognition on the person to be tested, so that the user's behavior can be accurately identified to determine whether the user's behavior is abnormal.

[0086] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0087] In addition, for technical details not fully described in this embodiment, reference can be made to the head and face device recognition method provided in any embodiment of the present invention, and will not be repeated here.

[0088] Based on the first embodiment of the head and face device recognition apparatus of the present invention, a second embodiment of the head and face device recognition apparatus of the present invention is proposed.

[0089] In this embodiment, the device identification module 20 is also used to identify the head and facial device according to the facial image and preset identity information; match the identification information with the random identification information generated by the mobile terminal, and identify the head and facial device according to the matching result.

[0090] Furthermore, the device identification module 20 is also used to perform face recognition on the face image to obtain face feature information; obtain preset identity information from a preset database; compare the face feature information with the preset identity information, and identify the head and face device based on the comparison result.

[0091] Furthermore, the device identification module 20 is also used to compare the facial feature information with the preset identity information to obtain similarity; when the similarity is greater than a preset value, it is determined that the identity information is successfully identified.

[0092] Furthermore, the device identification module 20 is also used to match the identification information with the random identification information generated by the mobile terminal; when the match is successful, it is determined that the identification information is successfully identified; when the identity information is successfully identified and the identification information is successfully identified, it is determined that the head and face device is successfully identified.

[0093] Furthermore, the behavior recognition module 30 is also used to obtain a preset behavior corresponding to the head and face device when the head and face device recognizes successfully; and perform behavior recognition on the person to be tested based on the preset behavior and the behavior of the person to be tested.

[0094] Furthermore, the information acquisition module 10 is also used to capture a target image of the person to be tested in the photographable and identifiable area through a camera on a mobile terminal; extract a facial image of the person to be tested and a display image of the head and face device from the target image; and obtain identification information displayed by the head and face device from the display image.

[0095] Other embodiments or specific implementations of the head and face device recognition device of the present invention can refer to the above-mentioned method embodiments, which will not be repeated here.

[0096] In addition, an embodiment of the present invention further provides a storage medium, on which a head and face device recognition program is stored. When the head and face device recognition program is executed by a processor, the steps of the head and face device recognition method described above are implemented.

[0097] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0098] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0099] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, 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 (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0100] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A head and face device recognition method, characterized in that: The head and face device recognition method comprises the following steps: Obtaining a facial image of the person to be tested, and obtaining identification information displayed by a head and facial device of the person to be tested; Identify the head and face device according to the face image and the identification information; When the head and face device recognizes successfully, the behavior of the person to be tested is recognized by the head and face device; The step of obtaining a facial image of the person to be tested and obtaining identification information displayed by a head and facial device of the person to be tested comprises: The target image of the person to be tested in the photographable and identifiable area is captured by the camera on the mobile terminal; Extracting the face image of the person to be tested and the display image of the head and face device from the target image; Acquire identification information displayed by the head and face device from the displayed image; The step of identifying the head and face device according to the face image and the identification information specifically includes: Performing identity information recognition on the head and face device according to the face image and preset identity information; matching the identification information with random identification information generated by the mobile terminal; When the match is successful, it is determined that the identification information is successfully recognized; When the identity information recognition is successful and the identification information recognition is successful, it is determined that the head and face device recognition is successful.

2. The head and face device recognition method according to claim 1, characterized in that: The step of performing identity information recognition on the head and face device according to the face image and the preset identity information specifically includes: Performing face recognition on the face image to obtain face feature information; Obtain preset identity information from a preset database; The facial feature information is compared with the preset identity information, and the identity information of the head and face device is recognized according to the comparison result.

3. The head and face device recognition method according to claim 2, characterized in that: The step of comparing the facial feature information with the preset identity information and performing identity information recognition on the head and face device according to the comparison result specifically includes: Comparing the facial feature information with the preset identity information to obtain a similarity; When the similarity is greater than a preset value, it is determined that the identity information recognition is successful.

4. The head and face device recognition method according to any one of claims 1 to 3, characterized in that: When the head and face device recognizes successfully, the step of performing behavior recognition on the person to be tested by the head and face device specifically includes: When the head and face device is successfully recognized, a preset behavior corresponding to the head and face device is obtained; The behavior of the person to be tested is identified according to the preset behavior and the behavior of the person to be tested.

5. A head and face device recognition device, characterized in that: The head and face equipment recognition device comprises: An information acquisition module is used to acquire a facial image of a person to be tested and to acquire identification information displayed by a head and facial device of the person to be tested; A device identification module, used to identify the head and face device according to the face image and the identification information; A behavior recognition module, used to perform behavior recognition on the person to be tested through the head and face device when the head and face device recognizes successfully; The information acquisition module is also used to collect a target image of the person to be tested in the photographable identification area through a camera on the mobile terminal; Extracting the face image of the person to be tested and the display image of the head and face device from the target image; Acquire identification information displayed by the head and face device from the displayed image; The device identification module is also used to identify the identity information of the head and facial device based on the facial image and preset identity information; match the identification information with the random identification information generated by the mobile terminal; when the match is successful, determine that the identification information is successfully identified; when the identity information is successfully identified and the identification information is successfully identified, determine that the head and facial device is successfully identified.

6. A head and face recognition device, characterized in that: The device comprises: a memory, a processor, and a head and face device recognition program stored in the memory and executable on the processor, wherein the head and face device recognition program is configured to implement the steps of the head and face device recognition method according to any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium stores a head and face device recognition program, and when the head and face device recognition program is executed by the processor, the steps of the head and face device recognition method according to any one of claims 1 to 4 are implemented.

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