False recognition elimination method, control device, readable storage medium and airport system

Abstract

The application specifically provides a false recognition elimination method, a control device, a readable storage medium and an airport system. The false recognition elimination method of the application is applied to a system, the system comprising a security device and a departure device, and the method comprises the following steps: the security device acquires a passenger face image and sends the passenger face image to the departure device; the departure device compares the passenger face image with passenger face image data in a passenger database of the same flight as the passenger, selectively marks the passenger based on a comparison result, and updates the passenger database based on a marking result; the departure device acquires a passenger face image, compares the passenger face image with passenger face image data in the updated passenger database, and selectively executes a corresponding boarding mode for the passenger based on a comparison result. Through the pre-comparison and review of the face image of the security passenger and the face image data in the passenger database of the same flight, and the selective marking of the security passenger according to the comparison result, and the selection of the corresponding boarding mode according to the marking of the boarding passenger, the accuracy of the boarding of the passenger is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to a face recognition elimination method for face recognition boarding, and particularly provides a face recognition elimination method, a control device, a readable storage medium and an airport system. BACKGROUND

[0002] With the continuous development of face recognition technology, many airports have begun to use face recognition technology to improve the travel experience of passengers. Face recognition boarding is one of the important scenarios. Passengers only need to cooperate with face recognition at the boarding gate to quickly board.

[0003] However, in the existing face recognition boarding process, due to the influence of factors such as airport shooting equipment, shooting environment, shooting parameters, shooting technology, etc., the picture clarity, picture background, face lighting, and face size of the face pictures of passengers are all different, and it is easy to cause recognition errors when passengers on the same flight perform face recognition boarding, resulting in a situation that passengers and seat numbers cannot be matched.

[0004] Correspondingly, there is a need in the art for a new face recognition elimination scheme to solve the above problems. SUMMARY

[0005] In order to overcome the above defects, the present application is proposed to provide a face recognition elimination method, a control device, a readable storage medium and an airport system to solve or at least partially solve the technical problem that passengers on the same flight perform face recognition boarding and cause recognition errors, resulting in a situation that passengers and seat numbers cannot be matched.

[0006] In a first aspect, the present application provides a face recognition elimination method applied to an airport system, wherein the airport system comprises a security device and a departure device, and the method comprises the following steps: the security device obtains a face image of a security passenger and passenger certificate information and sends them to the departure device; the departure device compares the received face image of the security passenger with face image data in a passenger database of the same flight corresponding to the security passenger, selectively marks the security passenger based on the comparison result, and updates the passenger database based on the marking result; the departure device obtains a face image of a boarding passenger, compares the face image of the boarding passenger with the updated face image data in the passenger database, and selectively executes a corresponding boarding mode for the boarding passenger based on the comparison result.

[0007] In one of the technical solutions of the above-mentioned false recognition elimination method, the method further comprises obtaining the passenger database of the same flight based at least on the following steps: the departure device obtains the corresponding flight of the security passenger based on the received passenger certificate information of the security passenger; the departure device obtains the passenger database of the same flight corresponding to the security passenger stored in the departure device based on the corresponding flight of the security passenger; and / or, the selective marking of the security passenger based on the comparison result comprises: obtaining the comparison score of the face image of the security passenger received by the departure device and the face image data in the passenger database of the same flight corresponding to the security passenger, wherein the comparison score is the face similarity of the security passenger and the face image data of the passenger in the database; selectively marking the security passenger and the passenger in the database corresponding to the comparison score based on the relationship between the comparison score and the preset comparison threshold.

[0008] In one of the technical solutions of the above-mentioned false recognition elimination method, the selective marking of the security passenger and the passenger in the database corresponding to the comparison score based on the relationship between the comparison score and the preset comparison threshold comprises: if the comparison score exceeds the preset comparison threshold, marking the image of the security passenger and the image of the passenger in the database corresponding to the comparison score; otherwise, storing the image of the security passenger in the passenger database of the same flight corresponding to the security passenger.

[0009] In one of the technical solutions of the above-mentioned false recognition elimination method, the security device at least comprises a smart screen, and the security device sending the face image and the passenger certificate information of the security passenger to the departure device comprises: the security device obtaining the passenger certificate information of the security passenger and issuing a security snapshot instruction to the smart screen; the smart screen, in response to the security snapshot instruction, obtaining a snapshot photo of the security passenger and performing detection to obtain a security face photo of the security passenger; the smart screen performing screening based on the security face photo of the security passenger to obtain the face image of the security passenger and sending it to the security device; and the security device sending the face image and the passenger certificate information of the security passenger to the departure device.

[0010] In one of the technical solutions of the above-mentioned false recognition elimination method, the obtaining of the snapshot photo of the security passenger and the detection to obtain the security face photo of the security passenger comprises: the smart screen obtaining the snapshot photo of the security passenger; the smart screen performing detection based on the snapshot photo: if the snapshot photo has face occlusion, issuing a reminder and returning to execute "the smart screen obtaining the snapshot photo of the security passenger"; if the snapshot photo has no face occlusion, taking the snapshot photo as the security face photo of the security passenger.

[0011] In one of the technical solutions of the above-mentioned false recognition elimination method, the smart screen performs screening based on the security face photo of the security passenger to obtain the face image of the security passenger, comprising: the smart screen performs screening based on the security face photo of the security passenger; the smart screen deletes the photo with abnormal face condition in the security face photo based on the screening result to obtain the face image of the security passenger, wherein the abnormal face condition at least includes incomplete face, face angle deflection, and face unrecognizable.

[0012] In one of the technical solutions of the above-mentioned false recognition elimination method, the departure device compares the face image of the boarding passenger with the updated face image data in the passenger database, and selects to perform the corresponding boarding mode based on the comparison result, comprising: the departure device compares the face image of the boarding passenger with the updated face image data in the passenger database one by one to obtain the corresponding passenger certificate information of the boarding passenger; the departure device obtains the marking condition of the boarding passenger based on the passenger certificate information of the boarding passenger; the departure device selects to perform the corresponding boarding mode for the boarding passenger based on the marking condition of the boarding passenger: if the boarding passenger is marked, the boarding passenger is reminded to board through the manual channel; otherwise, the passenger certificate information of the boarding passenger is displayed for the boarding passenger to board.

[0013] In the second aspect, a control device is provided, comprising a processor and a memory, the memory is adapted to store a plurality of program codes, the program codes are adapted to be loaded and run by the processor to execute any one of the technical solutions of the above-mentioned false recognition elimination method.

[0014] In the third aspect, a computer readable storage medium is provided, which stores a plurality of program codes, the program codes are adapted to be loaded and run by a processor to execute any one of the technical solutions of the above-mentioned false recognition elimination method.

[0015] In the fourth aspect, the present application provides an airport system, comprising a security device, a departure device and the above-mentioned control device, the security device comprises a smart screen, the smart screen is used to obtain the snapshot photo of the security passenger and perform detection and screening to obtain the face image of the security passenger, the security device, the departure device and the control device interact with each other, the security device and the departure device realize pre-audit of the security passenger and selective marking of the security passenger based on the control device, so as to select to perform the corresponding boarding mode based on the marking condition of the boarding passenger.

[0016] The one or more technical solutions of the present application have at least one or more of the following beneficial effects: the off-port device compares the face image of the security passenger sent by the security device with the face image data in the passenger database of the same flight of the security passenger, and selectively marks the security passenger according to the comparison result, realizes the pre-audit of the face image data of the security passenger and the passenger in the passenger database, so that the security passengers with similar face data in the same flight and the passengers in the database are marked, and the corresponding boarding mode is selected for execution by detecting the marking of the boarding passengers, which improves the accuracy of passenger boarding, avoids the situation that the passengers on the same flight are recognized incorrectly when face recognition boarding is performed in the prior art, and the passengers and seat numbers cannot be matched.

[0017] Further, in the implementation of the technical solutions of the present application, the smart screen of the security device captures the security passengers and detects whether the captured photos have face occlusion, so that the smart screen obtains the security face photos of the security passengers with complete faces, and the smart screen screens the security face photos and deletes the photos with abnormal faces in the security face photos, so that the smart screen obtains the face images of the security passengers, improves the clarity and accuracy of the face photos of the security passengers, and improves the intelligence of the security device. BRIEF DESCRIPTION OF DRAWINGS

[0018] The disclosure of the present application will become more apparent with reference to the drawings. It is easy for those skilled in the art to understand that these drawings are only for illustrative purposes, and are not intended to limit the scope of protection of the present application. In addition, similar numbers in the figures are used to represent similar components, wherein:

[0019] Figure 1 is a main step flow diagram of the false recognition elimination method according to an embodiment of the present application;

[0020] Figure 2 is a step flow diagram of the security device obtaining face images and passenger certificate information according to the false recognition elimination method of an embodiment of the present application;

[0021] Figure 3 is a main structure block diagram of the control device according to an embodiment of the present application;

[0022] Figure 4 is a main structure block diagram of the airport system according to an embodiment of the present application.

[0023] List of reference signs :

[0024] 300: control device; 301: processor; 302: memory; 303: program code; 400: airport system; 401: security device; 402: off-port device. DETAILED DESCRIPTION

[0025] Some embodiments of the present application will be described below with reference to the accompanying drawings. It will be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the scope of protection of the present application.

[0026] In the description of the present application, "module" and "processor" can include hardware, software or a combination of both. A module can include hardware circuitry, various suitable sensors, communication ports, memories, and can also include a software part such as program code, and can be a combination of software and hardware. The processor can be a central processor, a microprocessor, a graphic processor, a digital signal processor or any other suitable processor. The processor has data and / or signal processing functions. The processor can be implemented in software, hardware or a combination of both. The non-transitory computer readable storage medium includes any suitable medium that can store program code, such as a magnetic disk, a hard disk, an optical disk, a flash memory, a read-only memory, a random access memory, etc. The term "A and / or B" means all possible combinations of A and B, such as only A, only B or both A and B. The term "at least one of A or B" or "at least one of A and B" has a similar meaning as "A and / or B", and can include only A, only B or both A and B. The singular form of the term "one", "this" can also include the plural form.

[0027] Referring to the drawings Figure 1 , Figure 1 is a main step flowchart of a misidentification elimination method according to an embodiment of the present application. In some embodiments, the misidentification elimination method is applied to an airport system including a security inspection device and a departure device, as shown in Figure 1 The misidentification elimination method in the embodiment of the present application mainly includes the following steps S101-S103.

[0028] Step S101: The security inspection device acquires a face image of a security inspection passenger and passenger certificate information and sends them to the departure device;

[0029] Step S102: The departure device compares the received face image of the security inspection passenger with face image data in a passenger database of the same flight corresponding to the security inspection passenger, selectively marks the security inspection passenger based on the comparison result, and updates the passenger database based on the marking result;

[0030] Specifically, in some embodiments, the method further comprises obtaining a passenger database of the same flight based at least on the following steps: the departure device obtains the corresponding flight of the security passenger based on the received passenger certificate information of the security passenger; and the departure device obtains the passenger database of the same flight corresponding to the security passenger stored in the memory of the departure device based on the corresponding flight of the security passenger.

[0031] Specifically, in some embodiments, the selectively marking the security passenger based on the comparison result comprises: obtaining a comparison score of the comparison between the face image of the security passenger received by the departure device and the face image data in the passenger database of the same flight corresponding to the security passenger, wherein the comparison score is the face similarity between the security passenger and the face image data of the passenger in the database; and selectively marking the security passenger and the passenger in the database corresponding to the comparison score based on the relationship between the comparison score and the preset comparison threshold.

[0032] Specifically, in some embodiments, the selectively marking the security passenger and the passenger in the database corresponding to the comparison score based on the relationship between the comparison score and the preset comparison threshold comprises: if the comparison score exceeds the preset comparison threshold, marking the image of the security passenger and the image of the passenger in the database corresponding to the comparison score; otherwise, storing the image of the security passenger in the passenger database of the same flight corresponding to the security passenger.

[0033] Specifically, in some embodiments, the preset comparison threshold is set to 95%, or 98%, and the setting of the preset comparison threshold is only exemplary, and those skilled in the art can set it according to actual needs in actual tests, which will not be described here.

[0034] Further, in some embodiments, the departure device comprises a pre-audit component, which is configured to compare the face image of the received security passenger with the face image data in the passenger database of the same flight corresponding to the security passenger one by one, respectively obtain comparison scores, and compare the comparison scores with the preset comparison threshold, and selectively mark the security passenger and the passenger in the database corresponding to the comparison score based on the comparison result, so as to pre-audit the passengers in the passenger database and the security passenger, and select to perform the corresponding boarding mode based on the marking of the boarding passenger.

[0035] Step S103: The departure device obtains the face image of the boarding passenger, compares the face image of the boarding passenger with the face image data in the updated passenger database, and selectively performs the corresponding boarding mode based on the comparison result.

[0036] Specifically, in some embodiments, the device further comprises a face scanning boarding terminal, and the face image of the boarding passenger is obtained by the device as follows: the device sends a boarding start instruction; the face scanning boarding terminal obtains the face image of the boarding passenger and sends the face image to the device in response to the boarding start instruction.

[0037] Specifically, in some embodiments, the face scanning boarding terminal can be an intelligent terminal device for face scanning boarding, such as a gate head, a column type all-in-one machine, a desktop type all-in-one machine, etc. used in airports in the prior art. The selection of the face scanning boarding terminal is only exemplary, and those skilled in the art can select according to actual needs in actual tests, as long as the intelligent terminal device for face scanning boarding can be implemented. Details are not described herein.

[0038] Specifically, in some embodiments, the device compares the face image of the boarding passenger with the updated face image data in the passenger database, and selects a corresponding boarding mode for the boarding passenger based on the comparison result as follows: the device compares the face image of the boarding passenger with the updated face image data in the passenger database one by one to obtain the passenger certificate information corresponding to the boarding passenger; the device obtains the marking condition of the boarding passenger based on the passenger certificate information of the boarding passenger; and the device selects a corresponding boarding mode for the boarding passenger based on the marking condition of the boarding passenger: if the boarding passenger is marked, the device reminds the boarding passenger to board through a manual channel; otherwise, the device displays the passenger certificate information of the boarding passenger for the boarding passenger to board.

[0039] Specifically, in some embodiments, the device compares the face image of the boarding passenger with the updated face image data in the passenger database one by one to obtain the passenger certificate information corresponding to the boarding passenger as follows: the device compares the face image of the boarding passenger with the updated face image data in the passenger database one by one to obtain the passenger certificate information corresponding to the boarding passenger.

[0040] Specifically, in some embodiments, the face image of the boarding passenger is compared with the face image data in the updated passenger database in a 1:N comparison manner, and the face image of the security passenger and the face image data in the passenger database of the same flight corresponding to the security passenger are compared in a 1:N comparison manner. The selection of the comparison manner here is only exemplary, and those skilled in the art can select according to actual needs in actual tests, as long as the corresponding passenger database face image data can be identified according to the passenger face image. Here, no longer.

[0041] Specifically, in some embodiments, reminding the boarding passenger to board through the manual channel includes reminding the boarding passenger to manually check the boarding passenger at the manual boarding counter of the manual channel to realize the boarding of the boarding passenger.

[0042] In the above embodiment, the face image of the security passenger and the face image data in the passenger database of the same flight as the security passenger are compared by the departure device according to the security passenger sent by the security device, and the security passenger is selectively marked according to the comparison result. The pre-audit of the face image data of the security passenger and the passenger in the passenger database is realized, so that the security passenger with similar face data in the same flight and the passenger in the database are marked, and the corresponding boarding mode is selected for execution by detecting the marking of the boarding passenger. The accuracy of passenger boarding is improved, and the situation that the passengers in the same flight are identified incorrectly when performing face recognition boarding in the prior art, resulting in the mismatch between the passengers and the seat numbers, is avoided.

[0043] Refer to the accompanying Figure 2 , Figure 2 is a step flow diagram of the face image and passenger certificate information acquisition step of the security device according to the misidentification elimination method of an embodiment of the present application. In some embodiments, the security device at least includes a smart screen, such as Figure 2 As shown in the figure, the face image and passenger certificate information of the security passenger acquired by the security device in the misidentification elimination method of the embodiment of the present application are sent to the departure device, which mainly includes the following steps S201-S204.

[0044] Step S201: The security device acquires the passenger certificate information of the security passenger and sends a security snapshot instruction to the smart screen;

[0045] Specifically, in some embodiments, the security device further includes a certificate reader, which is used for reading the passenger certificate of the security passenger to acquire the passenger certificate information of the security passenger.

[0046] Step S202: In response to the security snapshot instruction, the smart screen acquires the security snapshot photo of the passenger and performs detection to obtain the security face photo of the passenger;

[0047] Specifically, in some embodiments, the smart screen includes two cameras respectively distributed on the upper and lower sides, the camera on the upper side is used to capture the passenger with normal height, and the camera on the lower side is used to capture the passenger with low height, so as to capture the passenger with large height difference.

[0048] Specifically, in some embodiments, the acquiring the security snapshot photo of the passenger and performing detection to obtain the security face photo of the passenger includes: the smart screen acquires the security snapshot photo of the passenger; the smart screen performs detection based on the security snapshot photo: if the security snapshot photo has face occlusion, a reminder is given and the step of “the smart screen acquires the security snapshot photo of the passenger” is returned to; if the security snapshot photo has no face occlusion, the security snapshot photo is taken as the security face photo of the passenger.

[0049] Specifically, in some embodiments, the detection based on the security snapshot photo by the smart screen includes: when it is detected that the passenger in the security snapshot photo wears a mask or sunglasses, it is judged that the security snapshot photo has face occlusion; when it is detected that the passenger in the security snapshot photo does not wear a mask or sunglasses, it is judged that the security snapshot photo has no face occlusion.

[0050] Specifically, in some embodiments, when the security snapshot photo has face occlusion, a reminder is given in a voice manner and the step of “the smart screen acquires the security snapshot photo of the passenger” is returned to.

[0051] In the above embodiments, by detecting whether the passenger wears a mask or sunglasses and selectively reminding the passenger to remove the face occlusion according to the detection result, the accuracy of passenger detection and the quality of passenger face collection are ensured, and the workload of staff reminding the passenger is reduced.

[0052] Step S203: The smart screen performs screening based on the security face photo of the passenger to obtain the face image of the passenger and sends it to the security device.

[0053] Specifically, in some embodiments, the screening based on the security face photo of the passenger by the smart screen to obtain the face image of the passenger includes: the smart screen performs screening based on the security face photo of the passenger; the smart screen deletes the photo with abnormal face condition in the security face photo based on the screening result to obtain the face image of the passenger, wherein the abnormal face condition at least includes incomplete face, face angle deflection, and face unrecognizable.

[0054] In the above embodiment, by deleting the photos with abnormal face conditions in the security face photos, the clarity of the face images in the passenger database and the photo quality are ensured.

[0055] Step S204: The security device sends the face image of the security passenger and the passenger certificate information to the departure device.

[0056] In the above embodiment, the smart screen of the security device captures the security passenger and detects whether the captured photo has face occlusion, so that the smart screen obtains the security face photo of the security passenger with complete face. Then, the smart screen screens the security face photo and deletes the photos with abnormal face conditions in the security face photo, so that the smart screen obtains the face image of the security passenger, the clarity and accuracy of the face photo of the security passenger are improved, and the intelligence of the security device is improved.

[0057] It should be noted that, although the above embodiment describes each step in a specific order, those skilled in the art can understand that, in order to achieve the effect of the present application, the different steps do not necessarily have to be executed in such an order, they can be executed simultaneously (in parallel) or in other orders, and these changes are within the protection scope of the present application.

[0058] Further, the present application also provides a control device 300.

[0059] Referring to the accompanying Figure 3 , Figure 3 is the main structural block diagram of the control device 300 according to an embodiment of the present application. As shown in Figure 3 , in an embodiment of the control device 300 according to the present application, the control device 300 comprises a processor 301 and a memory 302, the memory 302 can be configured to store program code 303 for executing the false recognition elimination method of the above-mentioned method embodiment, and the processor 301 can be configured to execute the program code 303 in the memory 302, which includes but is not limited to the program code 303 for executing the false recognition elimination method of the above-mentioned method embodiment. For ease of illustration, only the parts related to the embodiments of the present application are shown, and the specific technical details not disclosed are referred to the method part of the embodiments of the present application. The control device 300 can be a control device 300 device formed by various electronic devices.

[0060] Further, the present application also provides an airport system 400.

[0061] Referring to the accompanying Figure 4 , Figure 4 is the main structural block diagram of the airport system 400 according to an embodiment of the present application. As shown inFigure 4 As shown, the airport system 400 in the embodiment of the present application mainly comprises a security device 401, a departure device 402 and the above-mentioned control device 300, the security device 401 comprises a smart screen, the smart screen is used to obtain a snapshot photo of a security passenger and perform detection and screening to obtain a face image of the security passenger, the security device 401, the departure device 402 and the control device 300 interact information with each other, the security device 401 and the departure device 402 realize pre-auditing of a security passenger and selectively marking the security passenger based on the control device 300, so as to select to perform a corresponding boarding mode based on the marking situation of a boarding passenger. In one embodiment, the description of the specific implementation function can be referred to the description of steps S101-S103.

[0062] The above-mentioned airport system 400 is used to perform Figure 1 As shown in the embodiment of the false recognition elimination method, the technical principles, the technical problems solved and the technical effects generated are similar, and the person skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process and related description of the airport system 400 can refer to the description of the embodiment of the false recognition elimination method, which will not be repeated here.

[0063] The person skilled in the art can understand that all or part of the processes in the method of the above-mentioned embodiment can also be completed by a computer program instructing related hardware, the computer program can be stored in a computer readable storage medium, and the computer program can realize the steps of each method embodiment when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, executable file or some intermediate form, etc. The computer readable storage medium can include any entity or device, medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium, etc. that can carry the computer program code. It should be noted that the content included in the computer readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable storage medium does not include electric carrier signal and telecommunication signal.

[0064] Further, the present application also provides a computer readable storage medium. In an embodiment of the computer readable storage medium according to the present application, the computer readable storage medium can be configured to store program codes for executing the false recognition elimination method of the above-mentioned method embodiment, which can be loaded and run by the processor to implement the false recognition elimination method described above. For the convenience of illustration, only the parts related to the embodiments of the present application are shown, and the specific technical details are not disclosed. Please refer to the method part of the embodiments of the present application. The computer readable storage medium can be a memory device formed by various electronic devices. Optionally, the computer readable storage medium in the embodiments of the present application is a non-transitory computer readable storage medium.

[0065] Further, it should be understood that, since the setting of each module is only for illustrating the functional units of the device of the present application, the corresponding physical device of the module can be the processor itself, or a part of the software in the processor, a part of the hardware, or a part of the combination of the software and the hardware. Therefore, the number of each module in the figure is only illustrative.

[0066] Those skilled in the art can understand that each module in the device can be adaptively split or combined. Such splitting or combining of the specific module does not cause the technical solution to deviate from the principles of the present application, therefore, the technical solution after splitting or combining will fall within the protection scope of the present application.

[0067] So far, the technical solution of the present application has been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without deviating from the principles of the present application, and the technical solution after the changes or replacements will fall within the protection scope of the present application.

Claims

1. A false recognition elimination method applied to an airport system, characterized in that, The airport system comprises a security device and a departure device, and the method comprises the following steps: The security device obtains the face image of the security passenger and the passenger certificate information and sends it to the departure device; The departure device compares the received face image of the security passenger with the face image data in the passenger database of the same flight corresponding to the security passenger, selectively marks the security passenger based on the comparison result, and updates the passenger database based on the marking result; The departure device obtains the face image of the boarding passenger, compares the face image of the boarding passenger with the face image data in the updated passenger database, and selects the corresponding boarding mode based on the comparison result; Wherein, the selectively marking the security passenger based on the comparison result comprises: Obtain the comparison score of the face image of the security passenger received by the departure device and the face image data in the passenger database of the same flight corresponding to the security passenger, wherein the comparison score is the face similarity of the security passenger and the face image data of the passenger in the database; based on the relationship between the comparison score and the preset comparison threshold, the security passenger and the passenger corresponding to the comparison score in the database are selectively marked; If the comparison score exceeds the preset comparison threshold, the image of the security passenger and the image of the passenger corresponding to the comparison score in the database are marked; otherwise, the image of the security passenger is stored in the passenger database of the same flight corresponding to the security passenger; The departure device compares the face image of the boarding passenger with the face image data in the updated passenger database, and selects the corresponding boarding mode based on the comparison result, which comprises: The departure device compares the face image of the boarding passenger with the face image data in the updated passenger database, and selects the corresponding boarding mode based on the comparison result, which comprises: The departure device compares the face image of the boarding passenger with the face image data in the updated passenger database, and selects the corresponding boarding mode based on the comparison result, which comprises: The departure device compares the face image of the boarding passenger with the face image data in the updated passenger database, and selects the corresponding boarding mode based on the comparison result, which comprises:

2. The method of claim 1, wherein, The departure device compares the face image of the boarding passenger with the face image data in the updated passenger database, and selects the corresponding boarding mode based on the comparison result, which comprises: The method further comprises obtaining the passenger database of the same flight based on at least the following steps: The departure device obtains the corresponding flight of the security passenger based on the received passenger certificate information of the security passenger; 3. The method of claim 1, wherein, The departure device obtains the passenger database of the same flight corresponding to the security passenger stored in the departure device based on the corresponding flight of the security passenger. The security device comprises at least a smart screen, and the security device obtains the face image of the security passenger and the passenger certificate information and sends it to the departure device, which comprises: The security device obtains passenger certificate information of the security passenger and sends a security snapshot instruction to the smart screen. The smart screen obtains a snapshot photo of the security passenger and performs detection in response to the security snapshot instruction to obtain a security face photo of the security passenger. The smart screen performs screening based on the security face photo of the security passenger to obtain a face image of the security passenger and sends the face image to the security device. The security device sends the face image of the security passenger and passenger certificate information to the departure device.

4. The method of claim 3, wherein, The obtaining of the snapshot photo of the security passenger and the performance of detection to obtain the security face photo of the security passenger include: The smart screen obtains the snapshot photo of the security passenger. The smart screen performs detection based on the snapshot photo: If the snapshot photo has face occlusion, a prompt is sent and the smart screen obtains the snapshot photo of the security passenger is executed again. If the snapshot photo has no face occlusion, the snapshot photo is taken as the security face photo of the security passenger.

5. The method of claim 3, wherein the step of determining the probability of misrecognition comprises the step of: The screening of the smart screen based on the security face photo of the security passenger to obtain the face image of the security passenger includes: The smart screen performs screening based on the security face photo of the security passenger. The smart screen deletes the security face photo with abnormal face condition from the security face photo to obtain the face image of the security passenger, wherein the abnormal face condition at least includes incomplete face, face angle deflection, and face unrecognizable.

6. A control device comprising a processor and a memory, the memory being adapted to store a plurality of program codes, characterized in that, The program code is adapted to be loaded and run by the processor to execute the misrecognition elimination method in any one of claims 1 to 5.

7. A computer readable storage medium having stored therein a plurality of program codes, characterized in that, The program code is adapted to be loaded and run by the processor to execute the misrecognition elimination method in any one of claims 1 to 5.

8. An airport system comprising a security checkpoint, a departure gate, and the control device of claim 6, wherein, The security device includes a smart screen for obtaining a snapshot photo of the security passenger and performing detection and screening to obtain a face image of the security passenger, the security device, the departure device, and the control device interact information with each other, the security device and the departure device perform pre-audit on the security passenger and selectively mark the security passenger based on the control device, so as to select to perform corresponding boarding mode based on the marking condition of the boarding passenger.

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