Aircraft use operation authority identification method and system, electronic equipment and storage medium
By cross-verifying the facial and identification images of aircraft cockpit personnel, their permissions are identified, thus resolving the security risks caused by the lack of identity recognition systems in existing aircraft. This enables rapid and accurate access control and improves aircraft security.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-29
- Publication Date
- 2026-04-03
AI Technical Summary
The lack of personnel identification systems on existing aircraft allows unqualified personnel to enter the cockpit and operate the aircraft, potentially leading to misoperation and safety hazards. Furthermore, the existing systems are unable to differentiate the appropriate permissions based on personnel roles.
By acquiring facial images and identification images of personnel, cross-verification of physiological characteristics and identification information is performed to identify personnel's permissions. If they match, access to the cockpit is granted; otherwise, entry is denied.
It enables rapid identification of personnel entering the cockpit, ensuring that only authorized personnel can operate the aircraft, reducing the risk of misoperation and hijacking, and improving security.
Smart Images
Figure CN121789334A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of aircraft safety management technology, and specifically relates to an aircraft operation permission identification method, system, electronic device and storage medium. Background Technology
[0002] Existing aircraft typically lack personnel identification systems, allowing unqualified personnel to operate the aircraft from the cockpit. This can lead to misoperation that could compromise flight safety or even result in hijacking. Furthermore, qualified personnel may be ground or cabin crew members from various specialties. Current aircraft do not differentiate access permissions based on these roles. For example, ground crew specializing in avionics should only operate equipment relevant to their specific field; misoperation of equipment outside their expertise could pose potential risks and safety hazards.
[0003] Therefore, providing aircraft with corresponding automatic crew access identification methods can, to some extent, help mitigate safety risks and eliminate potential hazards. Summary of the Invention
[0004] The purpose of this application is to provide a method and system for identifying aircraft operating authority, in order to solve or mitigate at least one of the problems in the prior art.
[0005] On one hand, the technical solution of this application is: a method for identifying aircraft operating authority, comprising:
[0006] Acquire image information of the person to be identified, the object information including the person's facial image and the person's identification document image;
[0007] The identification images of the individuals are recognized to obtain their identification information.
[0008] The facial image of the subject is identified to obtain the physiological feature recognition result of the subject;
[0009] The system compares the physiological characteristics of the person being entered with the identification information. If the physiological characteristics match the identification information, the person is granted the appropriate permissions to enter the cockpit. If the physiological characteristics do not match the identification information, the person is denied permissions to enter the cockpit.
[0010] Preferably, the process of recognizing the identification image of the person in question to obtain their identification information includes:
[0011] Correct the image of the document to be identified;
[0012] Extract the region to be identified from the document image;
[0013] The region to be identified is divided into multiple sub-blocks;
[0014] The sub-blocks of the region to be recognized are divided into character units;
[0015] Extract character information from character units;
[0016] Output the recognition results of the document image to obtain the document information.
[0017] Preferably, the process of extracting the region to be identified from the document image is as follows:
[0018] Based on the background color features of the document area in the document image, the spatial distribution of the target background color by row and column is statistically analyzed to determine and extract the area to be identified in the document image by scanning the pixels row by row and column by column.
[0019] Preferably, the process of dividing the region to be identified into multiple sub-blocks is as follows:
[0020] Based on the characteristics of character information segmentation in the document template, the area to be recognized is divided into multiple sub-blocks, with character information in each sub-block on a separate line.
[0021] Preferably, the process of dividing the sub-blocks of the region to be recognized into character units is as follows:
[0022] The sub-blocks are converted to grayscale and then binarized into a black background image. The pixels of the binarized image information are scanned column by column. Columns with a pixel sum of zero are marked as 0, and columns with a non-zero pixel sum are marked as 1. The change from mark 0 to mark 1 is defined as the rising edge, and the change from mark 1 to mark 0 is defined as the falling edge. The image region between the rising edge and the falling edge is extracted, and the sub-blocks of the region to be identified are segmented into character units.
[0023] Preferably, the process of extracting character information from character units is as follows:
[0024] Each character unit is input into the matcher, and the character with the largest matching value is taken as the recognition result.
[0025] Preferably, the process of recognizing the facial image of the subject person to obtain the physiological feature recognition result of the subject person is as follows:
[0026] Physiological feature recognition results are obtained by extracting facial information of the subject and comparing it with facial information in the database.
[0027] On the other hand, this application provides an aircraft operating authority identification system, including:
[0028] The image acquisition module is used to acquire image information of the person to be identified, including the person's facial image and the person's identification document image.
[0029] The document information parsing module is used to recognize the document images of the subject personnel and obtain the document information of the subject personnel;
[0030] The facial information analysis module is used to identify the facial image of the subject and obtain the physiological feature recognition result of the subject.
[0031] The permission granting module is used to compare whether the physiological feature recognition result of the object personnel is consistent with the certificate information. If the physiological feature recognition result is consistent with the certificate information, the object personnel entering the cockpit are granted the corresponding permissions. If the physiological feature recognition result is inconsistent with the certificate information, the object personnel entering the cockpit are granted no permissions.
[0032] Preferably, the process of recognizing the identification image of the person in question to obtain their identification information includes:
[0033] Correct the image of the document to be identified;
[0034] Extract the region to be identified from the document image;
[0035] The region to be identified is divided into multiple sub-blocks;
[0036] The sub-blocks of the region to be recognized are divided into character units;
[0037] Extract character information from character units;
[0038] Output the recognition results of the document image to obtain the document information.
[0039] Preferably, the process of extracting the region to be identified from the document image is as follows:
[0040] Based on the background color features of the document area in the document image, the spatial distribution of the target background color by row and column is statistically analyzed to determine and extract the area to be identified in the document image by scanning the pixels row by row and column by column.
[0041] Preferably, the process of dividing the region to be identified into multiple sub-blocks is as follows:
[0042] Based on the characteristics of character information segmentation in the document template, the area to be recognized is divided into multiple sub-blocks, with character information in each sub-block on a separate line.
[0043] Preferably, the process of dividing the sub-blocks of the region to be recognized into character units is as follows:
[0044] The sub-blocks are converted to grayscale and then binarized into a black background image. The pixels of the binarized image information are scanned column by column. Columns with a pixel sum of zero are marked as 0, and columns with a non-zero pixel sum are marked as 1. The change from mark 0 to mark 1 is defined as the rising edge, and the change from mark 1 to mark 0 is defined as the falling edge. The image region between the rising edge and the falling edge is extracted, and the sub-blocks of the region to be identified are segmented into character units.
[0045] Preferably, the process of extracting character information from character units is as follows:
[0046] Each character unit is input into the matcher, and the character with the largest matching value is taken as the recognition result.
[0047] Preferably, the process of recognizing the facial image of the subject person to obtain the physiological feature recognition result of the subject person is as follows:
[0048] Physiological feature recognition results are obtained by extracting facial information of the subject and comparing it with facial information in the database.
[0049] Thirdly, this application provides an electronic device, comprising:
[0050] One or more processors;
[0051] Memory;
[0052] One or more applications, which are stored in the memory and configured to be executed by the one or more processors, are configured to implement the aircraft use operation permission identification method as described in any of the preceding claims.
[0053] Finally, this application provides a computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the aircraft use operation permission identification method as described in any of the preceding claims.
[0054] The aircraft operation permission identification method and system of this application can quickly identify personnel information entering the cockpit and grant corresponding aircraft operation permissions. This prevents unauthorized personnel from operating the aircraft in the cockpit, and operations exceeding authorized permissions are ineffective, thereby mitigating risks such as misoperation by unauthorized or insufficiently authorized personnel and hijacking incidents. Compared to granting permissions based solely on physiological characteristics or identification information, this application uses the comparison results of physiological characteristics and identification information as the basis for permission granting, providing cross-validation, which can further mitigate potential risks and improve security. Attached Figure Description
[0055] To more clearly illustrate the technical solutions provided in this application, the accompanying drawings will be briefly described below. Obviously, the drawings described below are merely some embodiments of this application.
[0056] Figure 1 This is a schematic diagram of the aircraft operation permission identification method of this application.
[0057] Figure 2 This is a schematic diagram of the aircraft operation permission identification system of this application. Detailed Implementation
[0058] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in the embodiments of this application will be described in more detail below with reference to the accompanying drawings.
[0059] This application provides a method and system for identifying aircraft access permissions, which can assign different aircraft permissions based on the personnel entering the aircraft, thereby avoiding potential risks and improving aircraft safety.
[0060] like Figure 1 As shown, the aircraft operation permission identification method provided in this application includes the following steps:
[0061] Step S1: Obtain image information of the person to be identified, which includes at least the person's facial image and the person's identification document image.
[0062] In this application, an image acquisition device can be installed at the cockpit entrance to collect image information of personnel about to enter the cockpit. The image information at least covers the face and identification area of the personnel, thereby obtaining facial and identification images of the personnel about to enter the cockpit. In some embodiments of this application, the image acquisition device can generally be a camera or video surveillance equipment, etc.
[0063] Step S2: Recognize the identification image of the person in question to obtain their identification information.
[0064] In this application, the process of recognizing the identification image of the subject person and obtaining the subject person's identification information includes:
[0065] Step S21: Correct the image of the document to be identified.
[0066] The image of the document to be recognized is corrected based on the regional edge information of the document image. The edges of the document image are corrected to the horizontal and vertical directions respectively by rotation and spatial transformation.
[0067] Step S22: Extract the region to be identified from the document image.
[0068] Based on the background color features of the document area in the document image, the spatial distribution of the target background color by row and column is statistically analyzed to determine and extract the document area to be identified.
[0069] Step S23: Divide the region to be identified into multiple sub-blocks.
[0070] Based on the characteristics of character information segmentation in the document template, the area to be recognized is divided into multiple sub-blocks, with character information in each sub-block on a separate line.
[0071] Step S24: Divide the sub-blocks of the region to be recognized into character units.
[0072] The sub-blocks are converted to grayscale and then binarized into a black background image. The pixels of the binarized image information are scanned column by column. Columns with a pixel sum of zero are marked as 0, and columns with a non-zero pixel sum are marked as 1. The change from mark 0 to mark 1 is defined as the rising edge, and the change from mark 1 to mark 0 is defined as the falling edge. The image region between the rising edge and the falling edge is extracted, and the sub-blocks of the region to be identified are segmented into character units.
[0073] Step S25: Extract character information from character units.
[0074] Each character unit is input into the matcher, and the character with the largest matching value is taken as the recognition result.
[0075] Step S26: Output the recognition result of the document image and obtain the document information.
[0076] In this application, the segmentation characteristics of the character information in the document template are used as prior experience information, which can realize the rapid segmentation of the area to be identified, reduce the complexity of the document information recognition algorithm, and save image processing time.
[0077] Step S3: Recognize the facial image of the subject person to obtain the physiological feature recognition result of the subject person.
[0078] In this application, physiological feature recognition is completed by extracting the facial information of the subject and comparing it with the facial information in the database, and the physiological feature recognition result is output.
[0079] Step S4: Compare whether the physiological feature recognition result is consistent with the document information. If the physiological feature result is consistent with the document information result, grant the person entering the cockpit the corresponding permissions according to the person's status. If the physiological feature recognition result is inconsistent with the document information result, grant the person entering the cockpit no permissions.
[0080] In this application, the personnel information obtained from physiological feature recognition is compared with the personnel information obtained from document information recognition, and the comparison result is output. Based on the comparison result, it is determined whether the personnel have permission to enter the cockpit for operation and the type of permission to enter the cockpit for operation.
[0081] The aircraft operation permission identification method of this application can quickly identify the information of personnel entering the cockpit and grant corresponding aircraft operation permissions. This prevents unauthorized personnel from operating the aircraft in the cockpit, and operations exceeding authorized permissions cannot be executed or take effect, thereby avoiding risks such as misoperation by unauthorized or insufficiently authorized personnel and hijacking emergencies. Compared to granting permissions based on either physiological characteristics or document information, this application uses the comparison results of physiological characteristics and document information as the basis for permission granting, providing cross-validation, which can further avoid potential risks and improve security.
[0082] Based on this, such as Figure 2 As shown, this application also provides an aircraft operation permission identification system, the system 100 including:
[0083] The image acquisition module 101 is used to acquire image information of the person to be identified, the object information including the facial image of the person and the identification document image of the person;
[0084] The document information parsing module 102 is used to recognize the document image of the person in question and obtain the document information of the person in question;
[0085] The facial information parsing module 103 is used to recognize the facial image of the subject person and obtain the physiological feature recognition result of the subject person;
[0086] The permission granting module 104 is used to compare whether the physiological feature recognition result of the object personnel is consistent with the certificate information. If the physiological feature recognition result is consistent with the certificate information, the object personnel entering the cockpit are granted the corresponding permissions. If the physiological feature recognition result is inconsistent with the certificate information, the object personnel entering the cockpit are granted no permissions.
[0087] The processing procedures of each module of the aircraft operation permission identification system in this application can refer to the aircraft operation permission identification method described above, and will not be repeated here.
[0088] In addition, this application also provides an electronic device, which includes:
[0089] One or more processors;
[0090] Memory;
[0091] One or more applications, which are stored in the memory and configured to be executed by the one or more processors, are configured to implement the aircraft use operation permission identification method as described in any of the preceding claims.
[0092] Finally, this application also provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the aircraft operation permission identification method described above.
[0093] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A method for identifying aircraft operating permissions, characterized in that, include: Acquire image information of the person to be identified, the object information including the person's facial image and the person's identification document image; The identification images of the individuals are recognized to obtain their identification information. The facial image of the subject is identified to obtain the physiological feature recognition result of the subject; The system compares the physiological characteristics of the person being entered with the identification information on their ID card. If the physiological characteristics match the identification information, the person is granted the appropriate permissions to enter the cockpit. If the physiological characteristics do not match the identification information, the person is denied permissions to enter the cockpit.
2. The aircraft operation permission identification method as described in claim 1, characterized in that, The process of recognizing the identification image of the person in question to obtain their identification information includes: Correct the image of the document to be identified; Extract the region to be identified from the document image; The region to be identified is divided into multiple sub-blocks; The sub-blocks of the region to be recognized are divided into character units; Extract character information from character units; Output the recognition results of the document image to obtain the document information.
3. The aircraft operation permission identification method as described in claim 2, characterized in that, The process of extracting the region to be identified from an ID card image is as follows: Based on the background color features of the document area in the document image, the spatial distribution of the target background color by row and column is statistically analyzed to determine and extract the area to be identified in the document image by scanning the pixels row by row and column by column.
4. The aircraft operation permission identification method as described in claim 2, characterized in that, The process of dividing the region to be identified into multiple sub-blocks is as follows: Based on the characteristics of character information segmentation in the document template, the area to be recognized is divided into multiple sub-blocks, with character information in each sub-block on a separate line.
5. The aircraft operation permission identification method as described in claim 2, characterized in that, The process of dividing the sub-blocks of the region to be recognized into character units is as follows: The sub-blocks are converted to grayscale and then binarized into a black background image. The pixels of the binarized image information are scanned column by column. Columns with a pixel sum of zero are marked as 0, and columns with a non-zero pixel sum are marked as 1. The change from mark 0 to mark 1 is defined as the rising edge, and the change from mark 1 to mark 0 is defined as the falling edge. The image region between the rising edge and the falling edge is extracted, and the sub-blocks of the region to be identified are segmented into character units.
6. The aircraft operation permission identification method as described in claim 2, characterized in that, The process of extracting character information from character units is as follows: Each character unit is input into the matcher, and the character with the largest matching value is taken as the recognition result.
7. The aircraft operation permission identification method as described in claim 1, characterized in that, The process of recognizing the facial image of the subject person to obtain the physiological feature recognition result of the subject person is as follows: Physiological feature recognition results are obtained by extracting facial information of the subject and comparing it with facial information in the database.
8. An aircraft operation permission identification system, characterized in that, include: The image acquisition module is used to acquire image information of the person to be identified, including the person's facial image and the person's identification document image. The document information parsing module is used to recognize the document images of the subject personnel and obtain the document information of the subject personnel; The facial information analysis module is used to identify the facial image of the subject and obtain the physiological feature recognition result of the subject. The permission granting module is used to compare whether the physiological feature recognition result of the object personnel is consistent with the certificate information. If the physiological feature recognition result is consistent with the certificate information, the object personnel entering the cockpit are granted the corresponding permissions. If the physiological feature recognition result is inconsistent with the certificate information, the object personnel entering the cockpit are granted no permissions.
9. The aircraft operation permission identification system as described in claim 8, characterized in that, The process of recognizing the identification image of the person in question to obtain their identification information includes: Correct the image of the document to be identified; Extract the region to be identified from the document image; The region to be identified is divided into multiple sub-blocks; The sub-blocks of the region to be recognized are divided into character units; Extract character information from character units; Output the recognition results of the document image to obtain the document information.
10. The aircraft operation permission identification system as described in claim 9, characterized in that, The process of extracting the region to be identified from an ID card image is as follows: Based on the background color features of the document area in the document image, the spatial distribution of the target background color by row and column is statistically analyzed to determine and extract the area to be identified in the document image by scanning the pixels row by row and column by column.
11. The aircraft operation permission identification system as described in claim 9, characterized in that, The process of dividing the region to be identified into multiple sub-blocks is as follows: Based on the characteristics of character information segmentation in the document template, the area to be recognized is divided into multiple sub-blocks, with character information in each sub-block on a separate line.
12. The aircraft operation permission identification system as described in claim 9, characterized in that, The process of dividing the sub-blocks of the region to be recognized into character units is as follows: The sub-blocks are converted to grayscale and then binarized into a black background image. The pixels of the binarized image information are scanned column by column. Columns with a pixel sum of zero are marked as 0, and columns with a non-zero pixel sum are marked as 1. The change from mark 0 to mark 1 is defined as the rising edge, and the change from mark 1 to mark 0 is defined as the falling edge. The image region between the rising edge and the falling edge is extracted, and the sub-blocks of the region to be identified are segmented into character units.
13. The aircraft operation permission identification system as described in claim 9, characterized in that, The process of extracting character information from character units is as follows: Each character unit is input into the matcher, and the character with the largest matching value is taken as the recognition result.
14. The aircraft operation permission identification system as described in claim 8, characterized in that, The process of recognizing the facial image of the subject person to obtain the physiological feature recognition result of the subject person is as follows: Physiological feature recognition results are obtained by extracting facial information of the subject and comparing it with facial information in the database.
15. An electronic device, characterized in that, include: One or more processors; Memory; One or more applications, which are stored in the memory and configured to be executed by the one or more processors, are configured to implement the aircraft use operation permission identification method as described in any one of claims 1 to 7.
16. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the aircraft use operation permission identification method as described in any one of claims 1 to 7.