Intelligent navigation people searching method and system for tourist area, processor and medium

Abstract

The invention provides a flow schematic diagram of an intelligent navigation people searching method for a tourist area. The method comprises the following steps: collecting first portrait information of a current tourist; searching first image data of the current tourist in an image database according to the first portrait information of the current tourist; the first image data comprises first portrait information of a current tourist; identifying the first image data, and obtaining second portrait information of the target tourist in the first image data; according to the second portrait information of the target tourist, traversing a camera device or an image database in the tourism area to obtain the position of the target tourist; and according to the position of the current tourist and the position of the target tourist, planning and displaying an optimal path for the current tourist to search for the target tourist. The method can achieve the effect of searching people in a targeted manner in various occasions, for example, no other input information except for the acquired portrait, and is high in people searching efficiency and accurate in people searching.

Description

Technical Field

[0001] The present invention relates to the technical field of personnel search in tourist areas, and in particular to an intelligent navigation personnel search method, system, processor and medium for tourist areas. Background Art

[0002] With the continuous development of society and economy, tourism has become an indispensable part of people's lives. With the continuous development of the tourism industry, more people need tourist cities or tourist attractions to provide more convenient and complete services. Driven by this demand, combined with the rapid development of electronic information technology, scenic spots or shopping centers across the country are also moving towards electronic and comprehensive directions, using the Internet, big data and other technologies to comprehensively integrate various types of information and provide users with a full range of services.

[0003] At present, the development of biometric technology is getting faster and faster. Face recognition technology has gradually been applied in all walks of life. Face recognition technology has become a research hotspot in the current recognition mode and artificial intelligence field. When users come to unfamiliar tourist destinations, in scenic spots with unfamiliar routes and large crowds, it is easy for family members to get separated, especially for children or the elderly. The current traditional solution is to search for people through broadcasting or by calling surveillance videos. However, the first method is more passive and the second method is less efficient. Therefore, a system with screening function is needed to filter out most of the meaningless images, so as to improve the efficiency of searching for people.

[0004] The Chinese invention application with application number 202210859868.1 discloses a system, method and electronic device for rapid screening of people in scenic spots. The distributed terminal of the scheme detects tourists in real time and records the images of tourists with abnormal conditions as candidates. The process of determining candidates is completely localized, which improves the computing efficiency. Only the candidates are sent to the central control terminal to avoid the waste of resources caused by uploading irrelevant images, thus saving resources. In the scheme, age and facial expression of the face are used to judge whether it is an abnormal condition, as a judgment of whether it is a missing person. The misjudgment rate in the scheme is high, because when the facial expression is abnormal, it is not only because of being lost, but also because of various factors that may cause abnormal facial expressions (such as quarreling, being criticized). At the same time, it is impossible to conduct targeted search for people. For example, if a tourist comes to report a case of loss, a large number of irrelevant people may be found according to this method, and the companions of the reported tourist who are lost cannot be found quickly.

[0005] The Chinese invention application with application number 202410708235.X discloses a visual trajectory search system and method in the terminal. When tourists are undergoing security verification at the airport security check channel, facial recognition technology is used to capture and collect facial information of tourists, bind the facial information with the tourist information, and form a tourist facial information database. When searching for people, people are searched based on the portraits in the tourist facial information database. However, the application scenarios of this solution are limited, and it can only be used in scenarios such as airports where complete information is entered (complete ID number, face, flight information, etc. have been obtained for association when buying tickets). Targeted search cannot be performed for open tourist areas, especially for the situation where only children or the elderly are currently found and the parents of children or the children of the elderly are to be found. Because the information that children or the elderly can provide is limited, it is difficult to find the parents of children or the children of the elderly.

[0006] In view of this, there is a need for an intelligent navigation and person-finding method, system, processor and medium for use in tourist areas. Summary of the invention

[0007] In view of the problem that the prior art cannot carry out targeted search for people, the present invention provides an intelligent navigation search for people method, system, processor and medium for tourist areas, which can carry out targeted and accurate search for fellow tourists according to the current tourists. The specific technical scheme is as follows:

[0008] An intelligent navigation and person-finding method for a tourist area comprises the following steps:

[0009] Collect the first person portrait information of the current tourist;

[0010] Searching for first image data of the current tourist in an image database according to the first portrait information of the current tourist; the first image data contains the first portrait information of the current tourist;

[0011] The first image data is identified, and the second portrait information of the target tourist is obtained from the first image data; compared with the portrait information of the target tourist obtained from the mobile phone of the current tourist, the second portrait information of the target tourist obtained in this way in the present application scheme has a stronger real-time portrait, and the target tourist can be found more accurately through image detection;

[0012] According to the second portrait information of the target tourist, traverse the camera devices or image database in the tourist area to obtain the location of the target tourist;

[0013] According to the location of the current tourist and the location of the target tourist, the best path for the current tourist to find the target tourist is planned and displayed.

[0014] Furthermore, the collecting of the first portrait information of the current tourist includes the first portrait information of the current tourist collected by a camera device, or the first portrait information transmitted by other electronic devices.

[0015] Furthermore, the first portrait information or the second portrait information includes facial portrait information and clothing portrait information of the tourist, including a facial image and a clothing image.

[0016] Furthermore, the planning of the best path for the current tourist to find the target tourist and displaying the best path includes the following steps:

[0017] Construct a three-dimensional model map of the tourist area;

[0018] Obtain information about all currently open intersections;

[0019] Based on the 3D model and information about all accessible intersections, the best path for the current tourists to reach the target tourists is planned and displayed.

[0020] Furthermore, the planning of the best path for the current tourist to find the target tourist and displaying the best path also includes the following steps:

[0021] Get the target tourists' speed and direction;

[0022] Predict the possible routes of target tourists based on the information of currently open intersections;

[0023] Collect current traffic information for each possible route;

[0024] According to the flow ratio of each possible route, the probability of the target tourists choosing each possible route is calculated.

[0025] Furthermore, the location of the target tourist includes the current location or the last location.

[0026] Furthermore, the method further comprises the following steps:

[0027] The best path is sent to the mobile client of the current tourist through the cloud platform, so that the current tourist can find the target tourist according to the best path.

[0028] An intelligent navigation and person-finding system for a tourist area, applied to the intelligent navigation and person-finding method for a tourist area described above, comprises:

[0029] A collection module, which is used to collect the first person portrait information of the current tourist;

[0030] A search module, which is used to search for the first image data of the current tourist in the image database according to the first portrait information of the current tourist;

[0031] A recognition module, which is used to recognize the first image data and obtain second portrait information of the target tourist from the first image data;

[0032] A traversal module, which is used to traverse the camera devices or image database in the tourist area according to the second portrait information of the target tourist to obtain the location of the target tourist;

[0033] The planning module is used to plan and display the best path for the current tourist to find the target tourist based on the location of the current tourist and the location of the target tourist.

[0034] A computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the above-mentioned intelligent navigation and people-finding method for tourist areas.

[0035] A processor is used to run a program, wherein the program executes the above-mentioned intelligent navigation and people-finding method for tourist areas when running.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present application proposes an intelligent navigation and searching method for tourist areas. Regardless of whether the current tourist is an adult who is aware of actively reporting the case, or a child or elderly person who is unable to express or has insufficient expression ability (for example, if the staff first finds the lost child or elderly person, and needs to find their family based on the child or elderly person), by collecting the first portrait information of the current tourist, and then finding the image of the current tourist in the image database, the current tourist's companion tourists are found (the companion tourists are the target tourists who need to be found, and they usually come in together when they first enter the tourist area), and after obtaining the second portrait information of the companion tourists, the camera devices or image databases in the tourist area are traversed to obtain the location of the target tourists. This method can achieve the effect of targeted searching in various occasions (for example, no other input information except the collected portrait), and the searching efficiency is high and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0039] Figure 1 The present invention is a flowchart of an intelligent navigation and person-finding method for a tourist area.

[0040] Figure 2 This is a schematic diagram of the structure of an intelligent navigation and person-finding system for tourist areas. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0043] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0044] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0045] Embodiment 1

[0046] like Figure 1 The figure shows a flow chart of an intelligent navigation method for finding people in a tourist area, which includes the following steps:

[0047] S1: Collecting first portrait information of the current tourist. Furthermore, the first portrait information may be a photo or video image of the current tourist.

[0048] Furthermore, the current tourists can be adults who have the awareness and ability to report the case, or they can be children or elderly people who have no awareness of reporting the case or are unable to clearly describe the information of their companion tourists (that is, the target tourists described below) or provide image information of their companion tourists; for example, staff in some tourist areas often find children or elderly people who are alone or lost first, but children or elderly people are usually unable to provide information about their companions, one reason is that they do not have mobile phones or other equipment, and the other is that they do not know their identity information and lack the ability to express themselves. Some elderly people even speak dialects and cannot communicate normally and effectively.

[0049] In a specific implementation, the first portrait information of the current tourist is collected, including the first portrait information of the current tourist collected by a camera device, or the first portrait information transmitted by other electronic devices. For example, a camera is provided in front of the service desk of the tourist area, or a mobile phone held by the staff of the tourist area can be used as a camera device to collect the portrait information of the current tourist as the first portrait information. After the camera device collects the first portrait information, it is transmitted to the control center server of the tourist area.

[0050] Furthermore, the portrait information of the current tourist can also be photographed by the mobile phone of the current tourist, and then sent to the control center server of the tourist area through the wireless network.

[0051] That is, when the staff finds a reporter, or finds a lost child or elderly who needs to find a companion, they first collect the portrait information of the current reporter, child or elderly to obtain the first portrait information.

[0052] S2: Then, according to the first portrait information of the current tourist, first image data about the current tourist is searched in the image database; the first image data contains the first portrait information of the current tourist.

[0053] In a specific implementation, the first portrait information includes facial portrait information and clothing portrait information of the current tourist. By combining the facial portrait information and clothing portrait information of the current tourist, the first image data containing the current tourist image can be found more accurately.

[0054] Nowadays, general tourist areas (whether open-air or venue-based) are covered with surveillance cameras. The surveillance cameras will record video information of various areas in the tourist area. When tourists are active in the tourist area and pass through the area covered by the corresponding surveillance cameras, the surveillance cameras will automatically record and save the tourists' video information in the image database of the control center server.

[0055] The search module of the control center server can analyze and process the facial portrait information and clothing portrait information of the current tourist, and combine the video information collected and recorded in the image database by the surveillance cameras in various areas of the tourist area to obtain the time, location coordinates and corresponding scene photos or videos of the current tourist appearing in all camera areas in the tourist area within the current period of time as the first image data. The length of time for obtaining the current period of time of the tourist can be adjusted by the staff, for example, it can be to obtain the detailed activity trajectory of the tourist's facial information within the current half hour or 20 minutes, or it can be a detailed activity trajectory within 5 minutes.

[0056] S3: Identify the first image data and obtain second portrait information of the target tourist from the first image data.

[0057] In a specific implementation, the second portrait information includes the facial portrait information and clothing portrait information of the current tourist.

[0058] Furthermore, when the first image data is identified and the second portrait information of the target tourist is obtained in the first image data, a manual identification method can be adopted. For example, by manually observing the first image data, the target tourist who appears with the current tourist can be identified. After the target tourist is confirmed, the second portrait information of the target tourist can be selected through the system.

[0059] Furthermore, in order to more quickly and comprehensively obtain all target tourists accompanying the current tourist, after searching for the first image data of the current tourist's screen, select the earliest screen of the day in the first image data. Because tourists generally enter in groups, selecting the earliest screen of the day in the first image data can obtain the second portrait information of all target tourists accompanying the current tourist as soon as possible.

[0060] Furthermore, if the current tourist is a child or an infant, a picture detection function for identifying the current tourist being held can be activated for the first image data to obtain the second portrait information of the target tourist as soon as possible, which generally includes the following steps:

[0061] S31: Image capture and analysis;

[0062] The first person portrait information in the scene is captured using a camera or image recognition technology.

[0063] Perform face detection on the first portrait information and identify all facial features.

[0064] S32: Feature matching and recognition;

[0065] Extract the facial features of the current visitor (i.e. the child), such as eyebrows, eyes, nose, etc.

[0066] These features are compared with the current visitor face database in the known first image data.

[0067] At the same time, other information in the first image data, such as arms and body postures, is analyzed to determine whether the current tourist is being hugged.

[0068] S33: Comprehensive judgment;

[0069] Combining the face matching degree and the recognition results of the child holding behavior, a comprehensive judgment is made as to whether the current tourist is being held.

[0070] If the match is high and there is an act of holding a child, it can be confirmed that the current tourist is being held.

[0071] S34: The picture of the current tourist being hugged is obtained, so that the second portrait information of the target tourist can be quickly locked.

[0072] Furthermore, if the current tourist is an elderly person, a detection function for identifying the current tourist being supported may be activated in the first image data to obtain the second portrait information of the target tourist as soon as possible, specifically including the following steps:

[0073] S35: Image preprocessing and feature extraction;

[0074] Performing pre-processing such as denoising and gray-scaling on the first image data;

[0075] Extract human posture features, such as contours, joint locations, etc.

[0076] S36: Behavioral analysis;

[0077] Support behavior recognition, analyzes image sequences and determines whether the current tourist has any support behavior.

[0078] Feature matching, comparing the extracted features with the patterns of supporting behaviors.

[0079] S37: determination and output;

[0080] Based on the analysis results, determine whether the current tourist is being supported.

[0081] Output the second portrait information determination result, and attach relevant video clips for subsequent viewing.

[0082] S4: According to the second portrait information of the target tourist, traverse the camera devices or image database in the tourist area to obtain the location of the target tourist.

[0083] The second portrait information includes facial portrait information and clothing portrait information of the tourist. By combining the facial portrait information and clothing portrait information and adding clothes for identification, the real-time performance is enhanced, and the target tourist can be identified more quickly and accurately.

[0084] In a specific implementation, the position of the target tourist includes the current position or the last position. Further, the camera devices in the tourist area are traversed first, and if the target tourist is not found in the current picture of each camera device, the image database is traversed again until the last position and picture of the target tourist are found.

[0085] S5: According to the location of the current tourist and the location of the target tourist, plan and display the best path for the current tourist to find the target tourist.

[0086] In a specific implementation, if a target tourist is found in the current picture of the camera device, the best path for the current tourist to find the target tourist is planned and displayed, including the following steps:

[0087] Construct a 3D model of the tourist area, or use an indoor map GIS application system;

[0088] Obtain information about currently open and passable intersections. The information about currently open and passable intersections can be input into the indoor map GIS application system or 3D model map in advance on the same day;

[0089] According to the 3D model diagram, indoor map GIS application system and information of all accessible intersections, if the target tourist is found in the current picture of the camera device, the best path for the current tourist to reach the target tourist's location is planned and displayed so that the target tourist can be found more quickly.

[0090] At the same time, the indoor map GIS application system can also be used to visualize the target tourist activity trajectory information formed by the indoor map GIS application module, and continuously update the target tourist activity location dynamics, and display the target tourist's current location in real time; the target tourist's activity trajectory can be displayed in real time on the screen, which is convenient for the staff to accurately grasp the target tourist's activity dynamics and find the target tourist accurately and quickly.

[0091] In a specific implementation, the planning of the best path for current tourists to find target tourists and displaying the best path also includes the following steps:

[0092] Obtaining the target tourist's travel speed and travel direction; that is, the target tourist's travel speed and travel direction in the current picture obtained by the camera device, or the target tourist's travel speed and travel direction in the last picture that appeared;

[0093] According to the information of currently open and passable intersections, the possible travel routes of the target tourists are predicted, that is, according to the travel direction of the target tourists, which are the passable intersections in the travel direction, multiple possible travel routes can be combined; for example, there will be an A intersection in the travel direction, and after crossing the A intersection, there will be B and C intersections, after crossing the B intersection, there will be D and E intersections, and after crossing the C intersection, there will be F intersection, so the possible travel routes will be A\B\D, A\B\E, A\C\F.

[0094] Collecting the current flow of people information of each possible route; further, the current flow of people information of the possible routes can be used to detect and count people through the cameras on each route;

[0095] According to the flow ratio of each possible route, the probability of the target tourist choosing each possible route is calculated, and the next direction of travel of the target tourist can be determined based on the probability; if there are cameras on each route, it can be convenient to search and pay attention to it; if there are no cameras on each route, the probability of its subsequent appearance at each intersection can be determined, which is convenient for staff or current tourists to meet with it.

[0096] Furthermore, the travel speed of the target tourist is obtained in order to determine the time when he / she appears at each intersection, so as to facilitate the search for him / her.

[0097] The specific implementation also includes the following steps:

[0098] The best path is sent to the mobile client of the current tourist or staff through the cloud platform (that is, the control center server), so that the current tourist or staff can find the target tourist according to the best path.

[0099] The best path is sent to the mobile client of the current tourist or staff through the cloud platform, which specifically includes the following steps:

[0100] The cloud platform or control center server communicates with the mobile client of the current visitor or staff member, and uses indoor positioning technology (such as Wi-Fi positioning, Bluetooth beacon) to track the location of the mobile client of the current visitor or staff member in real time;

[0101] The cloud platform or the control center server controls the various camera devices in the tourist area and uses facial portrait information and clothing portrait information recognition technology to identify and detect the location of target tourists;

[0102] According to the location of the mobile client of the current tourist or staff and the location of the target tourist, the navigation route is updated in real time and sent to the mobile client of the current tourist or staff to direct the current tourist or staff to find the target tourist in real time.

[0103] The present application proposes an intelligent navigation and searching method for tourist areas. Regardless of whether the current tourist is an adult who is aware of actively reporting the case, or a child or elderly person who is incapable of expressing himself or herself or has insufficient ability to express himself or herself (for example, a staff member first finds a lost child or elderly person, and needs to find their family members based on the child or elderly person), by collecting the first portrait information of the current tourist, and then searching the image of the current tourist in the image database, the current tourist's companion tourists are found (the companion tourists are the target tourists who need to be found, and they usually come in together when they first enter the tourist area). After obtaining the second portrait information of the companion tourists, the camera devices or image databases in the tourist area are traversed to obtain the location of the target tourists. This method can achieve the effect of targeted searching in various occasions (for example, no other input information except the collected portrait), and the searching efficiency is high and accurate.

[0104] Embodiment 2

[0105] like Figure 2 As shown, an intelligent navigation and person-finding system for a tourist area is applied to the intelligent navigation and person-finding method for a tourist area described above, comprising:

[0106] A collection module, which is used to collect the first person portrait information of the current tourist;

[0107] A search module, which is used to search for the first image data of the current tourist in the image database according to the first portrait information of the current tourist;

[0108] A recognition module, which is used to recognize the first image data and obtain second portrait information of the target tourist from the first image data;

[0109] A traversal module, which is used to traverse the camera devices or image database in the tourist area according to the second portrait information of the target tourist to obtain the location of the target tourist;

[0110] The planning module is used to plan and display the best path for the current tourist to find the target tourist based on the location of the current tourist and the location of the target tourist.

[0111] Embodiment 3

[0112] A computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the above-mentioned intelligent navigation and people-finding method for tourist areas.

[0113] Embodiment 4

[0114] A processor is used to run a program, wherein the program executes the above-mentioned intelligent navigation and people-finding method for tourist areas when running.

[0115] The present application provides a flow chart of an intelligent navigation and person-finding method for a tourist area, comprising the following steps: collecting first portrait information of a current tourist; searching for first image data of the current tourist in an image database based on the first portrait information of the current tourist; the first image data containing the first portrait information of the current tourist; identifying the first image data, and obtaining second portrait information of a target tourist in the first image data; traversing a camera device or an image database in the tourist area based on the second portrait information of the target tourist, and obtaining the location of the target tourist; and planning and displaying the best path for the current tourist to find the target tourist based on the location of the current tourist and the location of the target tourist. Regardless of whether the current tourist is an adult who is aware of actively reporting the case, or a child or elderly person who is unable to express himself or herself or has insufficient expression ability (for example, if the staff first finds the lost child or elderly person, and needs to find their family members based on the child or elderly person), by collecting the first portrait information of the current tourist, and then finding the picture of the current tourist in the image database, the current tourist's companion tourists are found (the companion tourists are the target tourists who need to be found, and they usually come in together when they first enter the tourist area), and after obtaining the second portrait information of the companion tourists, the camera devices or image database in the tourist area are traversed to obtain the location of the target tourists. This can achieve the effect of targeted search for people in various occasions (for example, no other input information except the collected portrait), and the search for people is efficient and accurate.

[0116] Those of ordinary skill in the art will appreciate that the units of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0117] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0118] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0119] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. An intelligent navigation and person-finding method for a tourist area, characterized in that: The following steps are involved: Collect the first person portrait information of the current tourist; Searching for first image data of the current tourist in an image database according to the first portrait information of the current tourist; the first image data contains the first portrait information of the current tourist; Recognize the first image data to obtain second portrait information of the target tourist from the first image data; According to the second portrait information of the target tourist, traverse the camera devices or image database in the tourist area to obtain the location of the target tourist; According to the location of the current tourist and the location of the target tourist, the best path for the current tourist to find the target tourist is planned and displayed.

2. The intelligent navigation and searching method for tourist areas according to claim 1 is characterized in that: The collecting of the first portrait information of the current tourist includes the first portrait information of the current tourist collected by a camera device, or the first portrait information transmitted by other electronic devices.

3. The intelligent navigation and searching method for tourist areas according to claim 2 is characterized in that: The first portrait information or the second portrait information includes facial portrait information and clothing portrait information of the tourist.

4. The intelligent navigation and searching method for tourist areas according to claim 1, characterized in that: The planning and displaying of the best path for the current tourists to find the target tourists includes the following steps: Construct a three-dimensional model map of the tourist area; Obtain information about all currently open intersections; Based on the 3D model and information about all accessible intersections, the best path for the current tourists to reach the target tourists is planned and displayed.

5. The intelligent navigation and searching method for tourist areas according to claim 4 is characterized in that: The planning and displaying of the best path for the current tourists to find the target tourists also includes the following steps: Get the target tourists' speed and direction; Predict the possible routes of target tourists based on the information of currently open intersections; Collect current traffic information for each possible route; According to the flow ratio of each possible route, the probability of the target tourists choosing each possible route is calculated.

6. The intelligent navigation and searching method for tourist areas according to claim 1, characterized in that: The location of the target visitor includes the current location or the last location.

7. The intelligent navigation and searching method for tourist areas according to claim 1, characterized in that: The following steps are also included: The best path is sent to the mobile client of the current tourist through the cloud platform, so that the current tourist can find the target tourist according to the best path.

8. An intelligent navigation and person-finding system for tourist areas, characterized in that: The intelligent navigation and searching method for a tourist area as claimed in any one of claims 1 to 7 comprises: A collection module, which is used to collect the first person portrait information of the current tourist; A search module, which is used to search for the first image data of the current tourist in the image database according to the first portrait information of the current tourist; A recognition module, which is used to recognize the first image data and obtain second portrait information of the target tourist from the first image data; A traversal module, which is used to traverse the camera devices or image database in the tourist area according to the second portrait information of the target tourist to obtain the location of the target tourist; The planning module is used to plan and display the best path for the current tourist to find the target tourist based on the location of the current tourist and the location of the target tourist.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the intelligent navigation and people-finding method for tourist areas as described in any one of claims 1 to 7.

10. A processor, characterized in that: The processor is used to run a program, wherein the program, when running, executes the intelligent navigation and people-finding method for a tourist area as described in any one of claims 1 to 7.

Images