An airport restricted area auxiliary verification system and method based on face recognition

Abstract

The present invention is applicable to the technical field of temporary airport isolation area management, and provides an airport isolation area auxiliary verification system and method based on face recognition. The method includes obtaining video data of the movement trajectories of a preset number of target personnel authorized to enter the target airport isolation area; analyzing all the obtained video data of the movement trajectories of the target personnel, and determining whether there are abnormal detour areas in the target airport isolation area. After the temporary isolation area of the airport is established, it is possible to scientifically analyze the traffic flow and walking efficiency in the area by using the video data of the movement trajectories of the personnel entering the area, and through these data, it is possible to identify whether there are detour areas that cause abnormal traffic flow or slow walking. Once it is confirmed that there is a detour area, it is also possible to intelligently analyze the reasons for its occurrence, especially to check whether the layout of the indication marks is unreasonable.

Description

Technical Field

[0001] The present invention belongs to the technical field of temporary airport isolation area management, and particularly relates to an airport isolation area auxiliary verification system and method based on face recognition. Background Art

[0002] Today, with the increasing frequency of global travel and air transportation, airport security management has become one of the important issues. To cope with emergencies or the need for passenger processing during peak periods, airports often set up temporary isolation areas to effectively manage the flow of people and improve the efficiency of security checks. These areas are usually equipped with temporary fences and movable partitions to facilitate quick adjustment of space to meet different security needs. However, this setup often needs to be completed in a short time and often lacks long-term planning, which poses challenges to the functionality and efficiency of the isolation area.

[0003] Currently, the temporary isolation areas in airports rely on basic manual management and simple indication systems to guide passengers. These indication marks are often improperly arranged, lacking sufficient visual guidance or information transmission efficiency, resulting in low movement efficiency of passengers in the isolation area. Passengers may walk circuitously in the isolation area because it is difficult to quickly identify the destination or the indications are unclear, which not only increases the inconvenience of passengers but also reduces the operating efficiency of the entire isolation area. In addition, this situation may also cause chaos and safety risks, especially more obvious during peak hours or in emergency situations. Summary of the Invention

[0004] The purpose of the present invention is to provide an airport isolation area auxiliary verification system and method based on face recognition, aiming to solve the problems raised in the background art.

[0005] The present invention is implemented as follows. An airport isolation area auxiliary verification system based on face recognition, the system includes:

[0006] A video data acquisition module, configured to acquire video data of the movement trajectories of a preset number of target persons authorized to enter the target airport isolation area;

[0007] An abnormal detour area judgment module, configured to analyze the acquired video data of the movement trajectories of all target persons and judge whether there is an abnormal detour area in the target airport isolation area;

[0008] An abnormal indication mark judgment module, configured to analyze whether there is an abnormal indication mark in the abnormal detour area if it is determined that there is an abnormal detour area in the target airport isolation area;

[0009] An abnormal indication mark adjustment module, configured to analyze the environment where the abnormal indication mark is located and make an optimized adjustment to the abnormal indication mark based on the environment after determining the existence of the abnormal indication mark.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, the video data acquisition module specifically includes:

[0011] A target personnel verification unit, configured to verify that the personnel entering the isolation area of the target airport are authorized target personnel based on face recognition technology;

[0012] A real-time face information acquisition unit, configured to acquire the real-time face information of the target personnel during the verification process based on face recognition technology;

[0013] A movement trajectory video data acquisition unit, configured to acquire the movement trajectory video data of a preset number of target personnel according to the real-time face information of the preset number of target personnel.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the abnormal detour area determination module specifically includes:

[0015] A movement trajectory line graph drawing unit, configured to parse the movement trajectory video data of all obtained target personnel one by one, and draw a movement trajectory line graph for the movement trajectory video data of each target personnel;

[0016] A behavior recognition unit, configured to sequentially analyze the movement trajectory line graphs of a preset number of target personnel, and identify whether there is a behavior of frequently traveling back and forth within a specific area;

[0017] An abnormal detour area determination unit, configured to, if among the movement trajectories of a preset number of target personnel, more than a first preset ratio of target personnel show a behavior of frequently traveling back and forth within the same specific area, mark the specific area as an abnormal detour area, and set the target personnel showing the behavior of frequently traveling back and forth within these same specific areas as abnormal target personnel.

[0018] As a further limitation of the technical solution of the embodiment of the present invention, the abnormal indication mark determination module specifically includes:

[0019] A local video data acquisition unit, configured to, if it is determined that there is an abnormal detour area within the isolation area of the target airport, retrieve the movement trajectory video data of the abnormal target personnel, and intercept the local video data of these abnormal target personnel within the abnormal detour area;

[0020] A distribution position acquisition unit, configured to acquire the distribution position of the indication marks of the abnormal detour area;

[0021] An abnormal indication flag determination unit, which is used to intelligently analyze the local video data of each abnormal target person, and analyze whether the face orientations of each abnormal target person have corresponded to the distribution positions of the indication marks in the abnormal detour area. If the face orientations of more than a second preset proportion of abnormal target persons have not corresponded to the distribution positions of the indication marks in the abnormal detour area, then determine the indication marks in the abnormal detour area as abnormal indication flags.

[0022] As a further limitation of the technical solution of the embodiment of the present invention, the abnormal indication mark adjustment module specifically includes:

[0023] A bystander angle video data acquisition unit, which is used to acquire the video data of the environment where the abnormal indication mark is located and the bystander angle of the abnormal detour area after determining that there is an abnormal indication mark in the abnormal detour area;

[0024] An obstacle judgment unit, which is used to intelligently analyze the video data of the environment where the abnormal indication mark is located and the bystander angle of the abnormal detour area, and analyze whether there are obstacles between the abnormal detour area and the abnormal indication mark;

[0025] A first adjustment and optimization instruction generation unit, which is used to generate a layout position adjustment and optimization instruction if there are obstacles, and send it to the management terminal of the target airport isolator;

[0026] A second adjustment and optimization instruction generation unit, which is used to analyze the display conditions of the abnormal indication mark according to the video data of the bystander angle of the environment where the abnormal indication mark is located if there are no obstacles. If the display conditions are insufficient, generate a display enhancement adjustment instruction and send it to the management terminal of the target airport isolator.

[0027] An airport isolation area auxiliary verification method based on face recognition, the method includes:

[0028] Acquire the movement trajectory video data of a preset number of target persons authorized to enter the target airport isolation area;

[0029] Analyze the acquired movement trajectory video data of all target persons, and judge whether there is an abnormal detour area in the target airport isolation area;

[0030] If it is determined that there is an abnormal detour area in the target airport isolation area, analyze whether there are abnormal indication marks in the abnormal detour area;

[0031] After determining that there are abnormal indication marks, analyze the environment where the abnormal indication marks are located, and make an optimization adjustment to the abnormal indication marks based on the environment.

[0032] As a further limitation of the technical solution of the embodiment of the present invention, the step of obtaining the movement trajectory video data of a preset number of target personnel authorized to enter the isolation area of the target airport includes:

[0033] Verify that the personnel entering the isolation area of the target airport are authorized target personnel based on face recognition technology;

[0034] During the verification process based on face recognition technology, obtain the real-time face information of the target personnel;

[0035] According to the real-time face information of a preset number of target personnel, obtain the movement trajectory video data of a preset number of target personnel.

[0036] As a further limitation of the technical solution of the embodiment of the present invention, the step of analyzing all the obtained movement trajectory video data of the target personnel and determining whether there is an abnormal detour area in the isolation area of the target airport includes:

[0037] Analyze one by one all the obtained movement trajectory video data of the target personnel, and draw a movement trajectory line graph for the movement trajectory video data of each target personnel;

[0038] Analyze in sequence the movement trajectory line graphs of a preset number of target personnel, and identify whether there is a behavior of frequently traveling back and forth in a specified area;

[0039] If, among the movement trajectories of a preset number of target personnel, more than a first preset proportion of the target personnel show a behavior of frequently traveling back and forth in the same specific area, then mark this specific area as an abnormal detour area, and set the target personnel showing the behavior of frequently traveling back and forth in the same specific area as abnormal target personnel.

[0040] As a further limitation of the technical solution of the embodiment of the present invention, the step of, if it is determined that there is an abnormal detour area in the isolation area of the target airport, analyzing whether there is an abnormal indication mark in the abnormal detour area includes:

[0041] If it is determined that there is an abnormal detour area in the isolation area of the target airport, retrieve the movement trajectory video data of the abnormal target personnel, and intercept the local video data of these abnormal target personnel in the abnormal detour area;

[0042] Obtain the distribution positions of the indication marks of the abnormal detour area;

[0043] Intelligently analyze the local video data of each abnormal target personnel, and analyze whether the face orientation of each abnormal target personnel has corresponded to the distribution positions of the indication marks of the abnormal detour area. If the face orientations of more than a second preset proportion of the abnormal target personnel have not corresponded to the distribution positions of the indication marks of the abnormal detour area, then determine the indication marks of the abnormal detour area as abnormal indication signs.

[0044] As a further limitation of the technical solution of the embodiment of the present invention, the step of analyzing the environment where the abnormal indication mark is located and making an optimized adjustment to the abnormal indication mark based on the environment after determining the existence of the abnormal indication mark includes:

[0045] After determining that there is an abnormal indication mark in the abnormal detour area, obtain the video data of the environment where the abnormal indication mark is located and the viewing angle of the abnormal detour area;

[0046] Intelligently analyze the video data of the environment where the abnormal indication mark is located and the viewing angle of the abnormal detour area, and analyze whether there are obstacles between the abnormal detour area and the abnormal indication mark;

[0047] If there are obstacles, generate a layout position adjustment and optimization instruction and send it to the terminal of the target airport isolator management personnel;

[0048] If there are no obstacles, analyze the display conditions of the abnormal indication mark according to the video data of the viewing angle of the environment where the abnormal indication mark is located. If the display conditions are insufficient, generate a display enhancement adjustment instruction and send it to the terminal of the target airport isolator management personnel.

[0049] Compared with the prior art, the present invention obtains the video data of the movement trajectories of a preset number of target personnel authorized to enter the target airport isolation area; analyzes all the obtained video data of the movement trajectories of the target personnel, and determines whether there is an abnormal detour area in the target airport isolation area; if it is determined that there is an abnormal detour area in the target airport isolation area, analyze whether there is an abnormal indication mark in the abnormal detour area; after determining the existence of the abnormal indication mark, analyze the environment where the abnormal indication mark is located, and make an optimized adjustment to the abnormal indication mark based on the environment. It can use the video data of the movement trajectories of the personnel entering the area to scientifically analyze the traffic flow and walking efficiency in the area after the establishment of the airport temporary isolation area. And through these data, it can identify whether there are detour areas that cause abnormal traffic flow or slow walking. Once it is confirmed that there is a detour area, it can also intelligently analyze the reasons for its generation, especially check whether it is due to the unreasonable layout of the indication marks. If so, an optimization plan will be proposed to adjust the indication marks to improve the personnel flow efficiency and overall operation efficiency, thereby optimizing the internal management of the airport isolation area. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is the application architecture diagram of the system provided by the embodiment of the present invention;

[0051] Figure 2 It is the structural block diagram of the video data acquisition module in the system provided by the embodiment of the present invention;

[0052] Figure 3Block diagram of the abnormal detour area determination module in the system provided by the embodiment of the present invention;

[0053] Figure 4 Block diagram of the abnormal indication mark determination module in the system provided by the embodiment of the present invention;

[0054] Figure 5 Block diagram of the abnormal indication mark adjustment module in the system provided by the embodiment of the present invention;

[0055] Figure 6 Flowchart of the method provided by the embodiment of the present invention;

[0056] Figure 7 Flowchart of obtaining the movement trajectory video data of a preset number of target personnel in the method provided by the embodiment of the present invention;

[0057] Figure 8 Flowchart of determining whether there is an abnormal detour area in the target airport isolation area in the method provided by the embodiment of the present invention;

[0058] Figure 9 Flowchart of analyzing whether there is an abnormal indication mark in the abnormal detour area in the method provided by the embodiment of the present invention;

[0059] Figure 10 Flowchart of making an optimization adjustment to the abnormal indication mark in the method provided by the embodiment of the present invention. Detailed implementation manners

[0060] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0061] It can be understood that the terms "first", "second", etc. used in the present application can be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, without departing from the scope of the present application, the first xx script can be called the second xx script, and similarly, the second xx script can be called the first xx script.

[0062] Figure 1 Shows the application architecture diagram of the system provided by the embodiment of the present invention.

[0063] Among them, in another preferred embodiment provided by the present invention, an airport isolation area auxiliary verification system based on face recognition includes:

[0064] The video data acquisition module 100 is configured to acquire the moving trajectory video data of a preset number of target personnel who are authorized to enter the isolation area of the target airport.

[0065] Specifically, Figure 2 Fig. shows the structural block diagram of the video data acquisition module 100 in the system provided by the embodiment of the present invention.

[0066] Among them, in the preferred embodiment provided by the present invention, the video data acquisition module 100 specifically includes:

[0067] The target personnel verification unit 101 is configured to verify that the personnel entering the isolation area of the target airport are the authorized target personnel based on the face recognition technology;

[0068] The real-time face information acquisition unit 102 is configured to acquire the real-time face information of the target personnel during the verification process based on the face recognition technology;

[0069] The moving trajectory video data acquisition unit 103 is configured to acquire the moving trajectory video data of a preset number of target personnel according to the real-time face information of the preset number of target personnel.

[0070] In the embodiment of the present invention, an intelligent high-definition camera is installed at the entrance of the isolation area of the target airport. And whenever an airport internal personnel wants to enter the isolation area of the target airport, the intelligent high-definition camera will record the facial image of the personnel and verify whether the entering personnel is the target personnel who has been pre-authorized based on the face recognition technology, so as to ensure that all the personnel entering the isolation area of the target airport are authorized target personnel.

[0071] Intelligent high-definition cameras are installed in different areas of the isolation area of the target airport. And after any target personnel enters the isolation area of the target airport, the moving trajectory video data of the target personnel is acquired through the real-time face information of the target personnel and the intelligent high-definition cameras installed in different areas.

[0072] The preset number is preset by the management personnel of the isolation area of the target airport, and preferably ranges between 20 and 50.

[0073] Furthermore, the airport isolation area auxiliary verification system based on face recognition further includes:

[0074] The abnormal detour area judgment module 200 is configured to analyze the acquired moving trajectory video data of all target personnel and judge whether there is an abnormal detour area in the isolation area of the target airport.

[0075] Specifically, Figure 3 Fig. shows the structural block diagram of the abnormal detour area judgment module 200 in the system provided by the embodiment of the present invention.

[0076] Among them, in the preferred embodiment provided by the present invention, the abnormal detour area judgment module 200 specifically includes:

[0077] A motion trajectory line graph drawing unit 201, configured to parse all the obtained motion trajectory video data of target personnel one by one, and draw a motion trajectory line graph for the motion trajectory video data of each target personnel;

[0078] A behavior recognition unit 202, configured to sequentially analyze the motion trajectory line graphs of a preset number of target personnel, and identify whether there is a behavior of frequently traveling back and forth within a specific area;

[0079] An abnormal detour area determination unit 203, configured to, if among the movement trajectories of a preset number of target personnel, more than a first preset ratio of target personnel show a behavior of frequently traveling back and forth within the same specific area, identify the specific area as an abnormal detour area, and set the target personnel showing the behavior of frequently traveling back and forth within these same specific areas as abnormal target personnel.

[0080] In the embodiment of the present invention, drawing a motion trajectory line graph for the motion trajectory video data of target personnel can be obtained by recording the motion trajectory of target personnel.

[0081] The behavior of a target person showing frequent back-and-forth movement within a specific area can be regarded as the behavior of the target person making at least three repeated back-and-forth movements within the specific area. The first preset ratio is preset by the staff in the target airport quarantine area, preferably set between 1 / 3 - 1 / 2. When among the movement trajectories of a preset number of target personnel, more than the first preset ratio of target personnel show a behavior of frequently traveling back and forth within the same specific area, it indicates that when the target person enters this specific area, there is a high probability of showing frequent back-and-forth walking behavior, which in turn reflects that after the target person enters this specific area, there is no clear walking guidance.

[0082] Furthermore, the airport quarantine area auxiliary verification system based on face recognition further includes:

[0083] An abnormal indication mark judgment module 300, configured to, if it is determined that there is an abnormal detour area within the target airport quarantine area, analyze whether there is an abnormal indication mark within the abnormal detour area.

[0084] Specifically, Figure 4 shows a structural block diagram of the abnormal indication mark judgment module 300 in the system provided by the embodiment of the present invention.

[0085] Among them, in the preferred embodiment provided by the present invention, the abnormal indication mark judgment module 300 specifically includes:

[0086] The local video data acquisition unit 301 is configured to, if it is determined that there is an abnormal detour area in the isolation area of the target airport, retrieve the movement trajectory video data of the abnormal target personnel, and intercept the local video data of these abnormal target personnel within the abnormal detour area;

[0087] The distribution position acquisition unit 302 is configured to acquire the distribution positions of the indication marks of the abnormal detour area;

[0088] The abnormal indication mark determination unit 303 is configured to intelligently analyze the local video data of each abnormal target personnel, and analyze whether the face orientations of each abnormal target personnel have corresponded to the distribution positions of the indication marks of the abnormal detour area. If the face orientations of more than a second preset ratio of abnormal target personnel have not corresponded to the distribution positions of the indication marks of the abnormal detour area, then determine the indication marks of the abnormal detour area as abnormal indication marks.

[0089] In the embodiment of the present invention, the distribution positions of the indication marks of the abnormal detour area are preset in advance. When analyzing the local video data of the abnormal target personnel within the abnormal detour area, the focus should be set on the face of the target personnel, and the face orientation of the target personnel should be monitored. Then, according to the deep learning algorithm (such as the convolutional neural network CNN), it is analyzed whether the face orientations of each abnormal target personnel have corresponded to the distribution positions of the indication marks of the abnormal detour area.

[0090] The second preset ratio is preset by the staff in the isolation area of the target airport, and preferably ranges from 1 / 2 to 4 / 5. When the face orientations of more than the second preset ratio of abnormal target personnel have not corresponded to the distribution positions of the indication marks of the abnormal detour area, it can be indirectly indicated that the inducement for the occurrence of the abnormal detour area is very likely that a large number of abnormal target personnel are unable to understand or observe the indication marks of the abnormal detour area. Therefore, there is an abnormality in the guiding function of the indication marks within the abnormal detour area, and they are set as abnormal indication marks.

[0091] Furthermore, the airport isolation area auxiliary verification system based on face recognition further includes:

[0092] The abnormal indication mark adjustment module 400 is configured to, after determining that there are abnormal indication marks, analyze the environment where the abnormal indication marks are located, and make an optimized adjustment to the abnormal indication marks based on the environment.

[0093] Specifically, Figure 5 FIG. shows the structural block diagram of the abnormal indication mark adjustment module 400 in the system provided by the embodiment of the present invention.

[0094] Among them, in the preferred embodiment provided by the present invention, the abnormal indication mark adjustment module 400 specifically includes:

[0095] The bystander angle video data acquisition unit 401 is configured to acquire the video data of the environment where the abnormal indication marker is located and the bystander angle of the abnormal detour area after determining that there is an abnormal indication marker in the abnormal detour area;

[0096] The obstacle judgment unit 402 is configured to intelligently analyze the video data of the environment where the abnormal indication marker is located and the bystander angle of the abnormal detour area, and analyze whether there is an obstacle between the abnormal detour area and the abnormal indication marker;

[0097] The first adjustment and optimization instruction generation unit 403 is configured to generate a layout position adjustment and optimization instruction if there is an obstacle, and send it to the target airport isolator management personnel terminal;

[0098] The second adjustment and optimization instruction generation unit 404 is configured to analyze the display condition of the abnormal indication marker according to the video data of the bystander angle of the environment where the abnormal indication marker is located if there is no obstacle. If the display condition is insufficient, a display enhancement adjustment instruction is generated and sent to the target airport isolator management personnel terminal.

[0099] In the embodiment of the present invention, the video data of the environment where the abnormal indication marker is located and the bystander angle of the abnormal detour area can be obtained by an intelligent high-definition camera set at a distance from the abnormal detour area and the environment where the abnormal indication marker is located. It should be noted that the intelligent high-definition camera must be able to obtain the video data of the environment where the abnormal indication marker is located and the abnormal detour area comprehensively and clearly.

[0100] Analyze the video data of the environment where the abnormal indication marker is located and the bystander angle of the abnormal detour area, and analyze whether there is an obstacle between the abnormal detour area and the abnormal indication marker. It can be understood that any place in the abnormal detour area can be set as an observation line with the abnormal indication marker, and when there is an obstacle in any observation line, it is determined that there is an obstacle between the abnormal detour area and the abnormal indication marker, and a layout position adjustment and optimization instruction including obstacle information is generated and sent to the target airport isolator management personnel terminal.

[0101] If there is no obstacle between the abnormal detour area and the abnormal indication marker, it means that the reason why the abnormal target person fails to have a direct face-to-face correspondence with the abnormal indication marker is probably due to insufficient real conditions (insufficient light) of the abnormal indication marker. At this time, analyze the display condition of the abnormal indication marker according to the video data of the bystander angle of the environment where the abnormal indication marker is located. If it is determined that the display condition is insufficient, a display enhancement adjustment instruction is generated and sent to the target airport isolator management personnel terminal.

[0102] Through the above technical solution, after the establishment of the temporary isolation area at the airport, the video data of the movement trajectories of the personnel entering the area can be used to scientifically analyze the traffic flow and walking efficiency in the area. And through these data, it is possible to identify whether there are circuitous areas that cause abnormal traffic flow or slow walking. Once a circuitous area is confirmed, the reason for its occurrence can be intelligently analyzed, especially to check whether it is due to the unreasonable layout of the indication marks. If so, an optimization plan will be proposed to adjust the indication marks to improve the personnel flow efficiency and the overall operation efficiency, thereby optimizing the internal management of the airport isolation area.

[0103] Further, Figure 6 The flowchart of the method provided by the embodiment of the present invention is shown.

[0104] Specifically, a method for auxiliary verification of an airport isolation area based on face recognition, the method specifically includes the following steps:

[0105] Step S100, obtain the video data of the movement trajectories of a preset number of target personnel who are authorized to enter the target airport isolation area.

[0106] Specifically, Figure 7 The flowchart of obtaining the video data of the movement trajectories of a preset number of target personnel is shown.

[0107] Among them, obtaining the video data of the movement trajectories of a preset number of target personnel who are authorized to enter the target airport isolation area specifically includes the following steps:

[0108] Step S101, verify that the personnel entering the target airport isolation area are authorized target personnel based on face recognition technology;

[0109] Step S102, obtain the real-time face information of the target personnel during the verification process based on face recognition technology;

[0110] Step S103, obtain the video data of the movement trajectories of a preset number of target personnel according to the real-time face information of a preset number of target personnel.

[0111] In the embodiment of the present invention, an intelligent high-definition camera is set at the entrance of the target airport isolation area, and whenever an airport internal personnel wants to enter the target airport isolation area, the intelligent high-definition camera will record the facial image of the personnel and verify whether the entering personnel is a target personnel who has been pre-authorized based on face recognition technology, so as to ensure that all the personnel entering the target airport isolation area are authorized target personnel.

[0112] Intelligent high-definition cameras are set in different areas of the target airport isolation area, and after any target personnel enters the target airport isolation area, the video data of the movement trajectories of the target personnel are obtained through the real-time face information of the target personnel and the intelligent high-definition cameras set in different areas.

[0113] The preset number is preset by the management personnel in the isolation area of the target airport, preferably between 20 and 50.

[0114] Furthermore, the airport isolation area auxiliary verification method based on face recognition further includes the following steps:

[0115] Step S200, analyze the motion trajectory video data of all obtained target personnel, and determine whether there is an abnormal detour area in the target airport isolation area.

[0116] Specifically, Figure 8 The flowchart showing whether there is an abnormal detour area in the target airport isolation area is shown.

[0117] Among them, analyzing the motion trajectory video data of all obtained target personnel and determining whether there is an abnormal detour area in the target airport isolation area specifically includes the following steps:

[0118] Step S201, analyze the motion trajectory video data of all obtained target personnel one by one, and draw a motion trajectory line graph for the motion trajectory video data of each target personnel;

[0119] Step S202, sequentially analyze the motion trajectory line graphs of a preset number of target personnel, and identify whether there is a behavior of frequently traveling back and forth in a specified area;

[0120] Step S203, if among the movement trajectories of a preset number of target personnel, more than the first preset ratio of target personnel show a behavior of frequently traveling back and forth in the same specific area, then mark this specific area as an abnormal detour area, and set the target personnel showing the behavior of frequently traveling back and forth in these same specific areas as abnormal target personnel.

[0121] In the embodiment of the present invention, the motion trajectory line graph of the motion trajectory video data of the target personnel can be obtained by recording the motion trajectory of the target personnel.

[0122] The behavior that the target personnel shows a behavior of frequently traveling back and forth in a specific area can be regarded as the behavior that the target personnel makes at least three repeated round trips in the specific area. The first preset ratio is preset by the staff in the isolation area of the target airport, preferably set between 1 / 3 and 1 / 2. When among the movement trajectories of a preset number of target personnel, more than the first preset ratio of target personnel show a behavior of frequently traveling back and forth in the same specific area, it indicates that when the target personnel enter this specific area, there is a high probability of showing a behavior of frequently traveling back and forth, and further reflects that after the target personnel enter this specific area, they fail to obtain clear walking guidance.

[0123] Furthermore, the airport isolation zone auxiliary verification method based on face recognition also includes the following steps:

[0124] Step S300: If it is determined that there is an abnormal detour area in the isolation zone of the target airport, analyze whether there is an abnormal indication mark in the abnormal detour area.

[0125] Specifically, Figure 9 A flow chart is shown for analyzing whether there is an abnormal indication mark in an abnormal detour area.

[0126] If it is determined that there is an abnormal detour area in the isolation zone of the target airport, analyzing whether there is an abnormal indicator mark in the abnormal detour area specifically includes the following steps:

[0127] Step S301, if it is determined that there is an abnormal detour area in the isolation zone of the target airport, the motion trajectory video data of the abnormal target personnel is retrieved, and the local video data of these abnormal target personnel in the abnormal detour area is intercepted;

[0128] Step S302, obtaining the distribution position of the indicator mark of the abnormal circuitous area;

[0129] Step S303, intelligently analyze the local video data of each abnormal target person, and analyze whether the facial orientation of each abnormal target person has ever corresponded to the distribution position of the indicator mark of the abnormal detour area. If the facial orientation of more than a second preset proportion of the abnormal target persons has never corresponded to the distribution position of the indicator mark of the abnormal detour area, then the indicator mark of the abnormal detour area is determined to be an abnormal indication mark.

[0130] In an embodiment of the present invention, the distribution positions of the indicator marks of the abnormal detour area are pre-set. When analyzing the local video data of the abnormal target person in the abnormal detour area, the focus should be set to the face of the target person and the facial orientation of the target person should be monitored. Then, a deep learning algorithm (such as a convolutional neural network (CNN)) is used to analyze whether the facial orientation of each abnormal target person corresponds to the distribution positions of the indicator marks of the abnormal detour area.

[0131] The second preset ratio is pre-set by the staff of the isolation area of the target airport, and is preferably between 1 / 2 and 4 / 5. When the facial orientation of the abnormal target persons exceeding the second preset ratio has never corresponded to the distribution position of the indication mark of the abnormal detour area, it can indirectly indicate that there is a high probability that a large number of abnormal target persons have not been able to understand or observe the indication mark of the abnormal detour area. Therefore, there is an abnormality in the guidance function of the indication mark in the abnormal detour area, and it is set as an abnormal indication mark.

[0132] Furthermore, the airport isolation zone auxiliary verification method based on face recognition also includes the following steps:

[0133] Step S400, after determining the existence of an abnormal indication mark, analyze the environment where the abnormal indication mark is located, and make an optimization adjustment to the abnormal indication mark based on the environment where it is located.

[0134] Specifically, Figure 10 The flowchart of making an optimization adjustment to the abnormal indication mark is shown.

[0135] Among them, the auxiliary verification method for the airport isolation area based on face recognition specifically includes the following steps:

[0136] Step S401, after determining the existence of an abnormal indication mark in the abnormal detour area, obtain the video data of the environment where the abnormal indication mark is located and the bystander angle of the abnormal detour area;

[0137] Step S402, intelligently analyze the video data of the environment where the abnormal indication mark is located and the bystander angle of the abnormal detour area, and analyze whether there are obstacles between the abnormal detour area and the abnormal indication mark;

[0138] Step S403, if there are obstacles, generate a layout position adjustment and optimization instruction, and send it to the terminal of the target airport isolator management personnel;

[0139] Step S404, if there are no obstacles, analyze the display condition of the abnormal indication mark according to the video data of the bystander angle of the environment where the abnormal indication mark is located. If the display condition is insufficient, generate a display enhancement adjustment instruction, and send it to the terminal of the target airport isolator management personnel.

[0140] In the embodiment of the present invention, the video data of the environment where the abnormal indication mark is located and the bystander angle of the abnormal detour area can be obtained by a smart high-definition camera set at a distance from the abnormal detour area and the environment where the abnormal indication mark is located. It should be noted that this smart high-definition camera must be able to obtain the video data of the environment where the abnormal indication mark is located and the abnormal detour area comprehensively and clearly.

[0141] Analyze the video data of the environment where the abnormal indication mark is located and the bystander angle of the abnormal detour area, and analyze whether there are obstacles between the abnormal detour area and the abnormal indication mark. It can be understood that any place in the abnormal detour area and the abnormal indication mark can be set as an observation line, and when there are obstacles in any observation line, it is determined that there are obstacles between the abnormal detour area and the abnormal indication mark, and a layout position adjustment and optimization instruction including obstacle information is generated and sent to the terminal of the target airport isolator management personnel.

[0142] If there is no obstacle between the abnormal detour area and the abnormal indication marker, it indicates that the most likely reason for the abnormal target person not having a direct face-to-face correspondence with the abnormal indication marker is the insufficient actual conditions of the abnormal indication marker (insufficient lighting). At this time, analyze the display conditions of the abnormal indication marker based on the video data of the viewing angle of the environment where the abnormal indication marker is located. If it is determined that the display conditions are insufficient, generate a display enhancement adjustment instruction and send it to the terminal of the target airport isolation area manager.

[0143] Through the above technical solutions, after the establishment of the temporary airport isolation area, the video data of the movement trajectories of the personnel entering the area can be used to scientifically analyze the traffic flow and walking efficiency in the area. And through these data, it is possible to identify whether there are detour areas that cause abnormal traffic flow or slow walking. Once it is confirmed that there is a detour area, it is also possible to intelligently analyze the reasons for its occurrence, especially to check whether the layout of the indication markers is unreasonable. If so, an optimization plan will be proposed to adjust the indication markers to improve the personnel flow efficiency and the overall operation efficiency, thereby optimizing the internal management of the airport isolation area.

[0144] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown in sequence according to the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages do not necessarily have to be executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages does not necessarily have to be sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0145] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-described embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in this application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0146] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0147] The above-described embodiments merely represent several implementation manners of the present invention. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.

[0148] The above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An airport restricted area auxiliary verification system based on face recognition, characterized in that, The system includes: A video data acquisition module, configured to acquire video data of the movement trajectories of a preset number of target persons who are authorized to enter the isolation area of the target airport; Specifically, the video data acquisition module includes: A target person verification unit, configured to verify, based on face recognition technology, that the persons entering the isolation area of the target airport are authorized target persons; A real-time face information acquisition unit, configured to acquire the real-time face information of the target persons during the verification process based on face recognition technology; A movement trajectory video data acquisition unit, configured to acquire video data of the movement trajectories of a preset number of target persons according to the real-time face information of the preset number of target persons; An abnormal detour area judgment module, configured to analyze the acquired video data of the movement trajectories of all target persons and determine whether there is an abnormal detour area in the isolation area of the target airport; Specifically, the abnormal detour area judgment module includes: A movement trajectory line graph drawing unit, configured to analyze one by one the acquired video data of the movement trajectories of all target persons and draw a movement trajectory line graph for the video data of the movement trajectories of each target person; A behavior recognition unit, configured to sequentially analyze the movement trajectory line graphs of a preset number of target persons and identify whether there is a behavior of frequently traveling back and forth within a specific area; An abnormal detour area determination unit, configured to, if among the movement trajectories of a preset number of target persons, more than a first preset ratio of target persons show a behavior of frequently traveling back and forth within the same specific area, identify the specific area as an abnormal detour area and set the target persons showing the behavior of frequently traveling back and forth within the same specific area as abnormal target persons; An abnormal indication mark judgment module, configured to, if it is determined that there is an abnormal detour area in the isolation area of the target airport, analyze whether there is an abnormal indication mark in the abnormal detour area; Specifically, the abnormal indication mark judgment module includes: A local video data acquisition unit, configured to, if it is determined that there is an abnormal detour area in the isolation area of the target airport, retrieve the video data of the movement trajectories of the abnormal target persons and intercept the local video data of these abnormal target persons within the abnormal detour area; A distribution position acquisition unit, configured to acquire the distribution position of the indication marks of the abnormal detour area; An abnormal indication sign determination unit, configured to intelligently analyze the local video data of each abnormal target person and analyze whether the face orientation of each abnormal target person has corresponded to the distribution position of the indication marks of the abnormal detour area. If the face orientations of more than a second preset ratio of abnormal target persons have not corresponded to the distribution position of the indication marks of the abnormal detour area, determine the indication marks of the abnormal detour area as abnormal indication signs; An abnormal indication mark adjustment module, configured to, after determining that there is an abnormal indication mark, analyze the environment where the abnormal indication mark is located and make an optimized adjustment to the abnormal indication mark based on the environment; 2. The airport restricted area auxiliary verification system based on face recognition according to claim 1, wherein Specifically, the abnormal indication mark adjustment module includes: A bystander angle video data acquisition unit, configured to, after determining that there is an abnormal indication mark in the abnormal detour area, acquire the video data of the environment where the abnormal indication mark is located and the bystander angle of the abnormal detour area; An obstacle judgment unit, which is used to intelligently analyze the video data of the environment where the abnormal indication mark is located and the viewing angle of the abnormal detour area, and analyze whether there is an obstacle between the abnormal detour area and the abnormal indication mark; A first adjustment and optimization instruction generation unit, which is used to generate a layout position adjustment and optimization instruction if there is an obstacle, and send it to the terminal of the management personnel in the target airport isolation area; A second adjustment and optimization instruction generation unit, which is used to analyze the display condition of the abnormal indication mark according to the video data of the viewing angle of the environment where the abnormal indication mark is located if there is no obstacle. If the display condition is insufficient, generate a display enhancement adjustment instruction and send it to the terminal of the management personnel in the target airport isolation area.

3. An airport restricted area auxiliary verification method based on face recognition, characterized in that, The method includes: Obtaining the video data of the movement trajectories of a preset number of target personnel authorized to enter the target airport isolation area; The step of obtaining the video data of the movement trajectories of a preset number of target personnel authorized to enter the target airport isolation area includes: Verifying that the personnel entering the target airport isolation area are authorized target personnel based on face recognition technology; During the verification process based on face recognition technology, obtaining the real-time face information of the target personnel; According to the real-time face information of a preset number of target personnel, obtaining the video data of the movement trajectories of a preset number of target personnel; Analyzing the video data of the movement trajectories of all the obtained target personnel, and judging whether there is an abnormal detour area in the target airport isolation area; The step of analyzing the video data of the movement trajectories of all the obtained target personnel and judging whether there is an abnormal detour area in the target airport isolation area includes: Analyzing one by one the video data of the movement trajectories of all the obtained target personnel, and drawing a movement trajectory line graph for the video data of the movement trajectories of each target personnel; Analyzing in sequence the movement trajectory line graphs of a preset number of target personnel, and identifying whether there is a behavior of frequently traveling back and forth in a specified area; If, among the movement trajectories of a preset number of target personnel, more than a first preset ratio of target personnel show a behavior of frequently traveling back and forth in the same specific area, then mark this specific area as an abnormal detour area, and set the target personnel showing the behavior of frequently traveling back and forth in these same specific areas as abnormal target personnel; If it is determined that there is an abnormal detour area in the target airport isolation area, analyze whether there is an abnormal indication mark in the abnormal detour area; The step of if it is determined that there is an abnormal detour area in the target airport isolation area, analyzing whether there is an abnormal indication mark in the abnormal detour area includes: If it is determined that there is an abnormal detour area in the target airport isolation area, retrieving the video data of the movement trajectories of the abnormal target personnel, and intercepting the local video data of these abnormal target personnel in the abnormal detour area; Obtaining the distribution positions of the indication marks in the abnormal detour area; Intelligently analyzing the local video data of each abnormal target personnel, and analyzing whether the face orientations of each abnormal target personnel have corresponded to the distribution positions of the indication marks in the abnormal detour area. If the face orientations of more than a second preset ratio of abnormal target personnel have not corresponded to the distribution positions of the indication marks in the abnormal detour area, then determine the indication mark in the abnormal detour area as an abnormal indication sign; After determining the existence of an abnormal indication marker, analyze the environment where the abnormal indication marker is located, and make an optimized adjustment to the abnormal indication marker based on the environment.

4. The method for auxiliary verification in the airport restricted area based on face recognition according to claim 3, wherein The steps of analyzing the environment where the abnormal indication marker is located and making an optimized adjustment to the abnormal indication marker based on the environment after determining the existence of the abnormal indication marker include: After determining the existence of an abnormal indication marker in the abnormal detour area, obtain the video data of the environment where the abnormal indication marker is located and the viewing angle of the abnormal detour area; Intelligently analyze the video data of the environment where the abnormal indication marker is located and the viewing angle of the abnormal detour area, and analyze whether there are obstacles between the abnormal detour area and the abnormal indication marker; If there are obstacles, generate a layout position adjustment and optimization instruction and send it to the terminal of the management personnel in the target airport isolation area; If there are no obstacles, analyze the display conditions of the abnormal indication marker according to the video data of the viewing angle of the environment where the abnormal indication marker is located. If the display conditions are insufficient, generate a display enhancement adjustment instruction and send it to the terminal of the management personnel in the target airport isolation area.

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