An exhibition hall interactive display method and system supporting artificial intelligence recognition

Abstract

The present invention discloses a museum interactive display method and system supporting artificial intelligence recognition, which relates to the technical field of data processing. It includes obtaining the interaction information of visitors, opening a matching artificial intelligence interaction method according to the type of interaction information, matching the interaction information with the corresponding visitors, and based on the matching result, the exhibition hall transmits the content information of the exhibits to the visitors according to the matching artificial intelligence interaction method. The content information has different display forms in different artificial intelligence interaction methods. Based on the interaction degree between the visitors and the content information, the exhibition hall executes corresponding discrimination rules. The present invention enables the exhibition hall to provide different exhibit information transmissions to visitors under different interaction methods according to the types of visitors. In addition, by obtaining the interaction information of visitors, the exhibition hall can intelligently select suitable interaction methods, enabling visitors to obtain richer and deeper exhibit information during the interaction process.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and specifically provides a museum interactive display method and system supporting artificial intelligence recognition. Background Technique

[0002] Museum interaction has always been a key link in enhancing the visitor experience and improving the display effect. With the rapid development of artificial intelligence technology, its application in museum interactive displays can not only achieve a more intelligent and personalized interactive experience but also effectively improve the transmission efficiency and accuracy of display information.

[0003] After retrieval, the Chinese invention patent with the publication number "CN117473162A" discloses "A Museum Application Method and System Based on Artificial Intelligence". This application can obtain the location information and material data of visitors, match personalized explanations through a neural network model, provide targeted personalized explanations for visitors, and offer interaction and experience for visitors, thereby improving the visitor experience.

[0004] In addition, the Chinese invention patent with the publication number "CN116383495A" discloses "A Smart Museum Interaction Method and System Based on User Characteristics". This application obtains basic user information, including user MAC address information, user occupation information, user age information, and user gender information; obtains a list of exhibits in the smart museum, performs correlation analysis by traversing the list of exhibits in the smart museum according to the user occupation information, the user age information, and the user gender information to generate a list of interested exhibits; matches a holographic projection interactive screen according to the user MAC address information to display the list of interested exhibits for active screening to obtain an active screening exhibit set; traverses the active screening exhibit set, obtains a first exhibit MAC address set and a first exhibit viewing duration set for exhibition path planning, generates an exhibition path planning result, and sends the exhibition path planning result to the user's Bluetooth device, solving the technical problem in the prior art that the user's exhibition process has insufficient integration with the exhibition guiding information, is not user-friendly enough, cannot meet the user's exhibition needs, and results in a poor experience.

[0005] However, considering the large number of people received in the exhibition hall and the diverse interests and needs of each person, in actual applications, the above-mentioned disclosed patents, methods, and similar methods may still be difficult to meet the personalized needs of all users with a single interaction method, resulting in visitors being unable to obtain richer and more in-depth exhibit information during the interaction process. Summary of the Invention

[0006] The purpose of the present invention is to provide a museum interactive display method and system supporting artificial intelligence recognition to solve the problems raised in the above background technique.

[0007] In a first aspect, to achieve the above object, the present invention proposes an exhibition hall interactive display method supporting artificial intelligence recognition, including:

[0008] Obtain the interaction information of the visitor;

[0009] According to the type of the interaction information, open the matching artificial intelligence interaction method;

[0010] Match the interaction information with the corresponding visitor;

[0011] Based on the matching result, the exhibition hall transmits the content information of the exhibit to the visitor according to the matching artificial intelligence interaction method, and the forms of the content information displayed in different artificial intelligence interaction methods are different;

[0012] Based on the interaction degree between the visitor and the content information, the exhibition hall executes the corresponding discrimination rule, and the discrimination rule is used to change the attributes of the artificial intelligence interaction method;

[0013] According to the transmission degree of the content information, the exhibition hall provides feedback information that increases with the change of the transmission degree for the visitor, and the feedback information is used to let the visitor unlock the value-added services of the exhibition hall.

[0014] As a further preferred technical solution of the present invention, the types of the interaction information are divided into first type information and second type information, the artificial intelligence interaction methods are divided into first artificial intelligence interaction method and second artificial intelligence interaction method, and the first artificial intelligence interaction method and the second artificial intelligence interaction method respectively correspond to the first type information and the second type information;

[0015] The first artificial intelligence interaction method includes:

[0016] Construct a virtual exhibit image based on the content information;

[0017] Divide the exhibit image into multiple associated integrated fragments according to the content information, and each integrated fragment represents a part of the content information;

[0018] Design corresponding series of levels according to the number of the integrated fragments, and the attribute contents corresponding to each series of levels are different;

[0019] Construct a visitor image according to the interaction information, the visitor manipulates the visitor image, and promotes the interaction between the visitor image and the integrated fragments;

[0020] After the visitor image interacts with the integrated fragments in the current series of levels, the integrated fragments release a part of the content information and unlock the subsequent series of levels corresponding to the current level.

[0021] As a further preferred technical solution of the present invention, the content of the discrimination rule affecting the first artificial intelligence interaction method includes:

[0022] Extract the text information corresponding to the attribute content;

[0023] According to the length of the text information content, set the corresponding limited time for each series of levels. The length of the limited time is positively correlated with the length of the text information content;

[0024] If the visitor fails to complete the interaction with the current series of levels within the set limited time, the current series of levels will restart;

[0025] When the current series of levels restarts, a logout window is generated beside the initial visitor image position. The logout window is used to interact with the visitor image and unlock the subsequent series of levels.

[0026] As a further preference of this technical solution, in the first artificial intelligence interaction method, the triggering methods of the feedback information include:

[0027] Construct a reward matrix according to the limited time and the number of series of levels. The reward matrix includes several reward units, and the number of feedback information assigned in each reward unit is different;

[0028] Respectively obtain the interaction time of the visitor within the current series of levels and the position of the current series of levels among all series of levels;

[0029] According to the interaction time and the position of the current series of levels, match and trigger the corresponding reward unit in the reward matrix.

[0030] As a further preference of this technical solution, the second artificial intelligence interaction method includes:

[0031] Retrieve the corresponding exhibit information in the Internet according to the content information;

[0032] The exhibit information is divided into several relevant subset information according to the exhibition hall attributes, and each subset information corresponds to a specific exhibition room in the exhibition hall;

[0033] When the visitor is at different positions in the exhibition hall, different subset information will be activated to send access instructions to the visitor;

[0034] Based on the number of received access instructions and their positions, the visitor obtains the corresponding exhibit information and feedback information.

[0035] As a further preference of this technical solution, the discriminant rule content affecting the second artificial intelligence interaction method includes:

[0036] Obtain the interaction time between the visitor and the current subset information;

[0037] Based on the interaction time, construct an interest connection level between the visitor and the subset information. The interest connection level is positively correlated with the interaction time;

[0038] Open the interaction between visitors and subsequent subset information according to the interest connection level.

[0039] As a further preference of this technical solution, in the second artificial intelligence interaction method, the triggering methods of feedback information include:

[0040] Construct an integral matrix according to the interaction time between visitors and subset information and the interest connection level. The integral matrix is composed of several integral units, and the integral values assigned within each integral unit are all different;

[0041] Respectively obtain the interaction time and interest connection level of the visitor in the current display room;

[0042] According to the interaction time and interest connection level, match and accumulate the corresponding integral values in the integral matrix.

[0043] As a further preference of this technical solution, the discriminant rule content for switching between the first artificial intelligence interaction method and the second artificial intelligence interaction method includes:

[0044] Analyze the frequency of the visitor interacting with the exhibit information using different interaction methods within a unit time interval;

[0045] Evaluate the degree of attention of the visitor to various interaction methods according to the interaction frequency;

[0046] Construct a percentage threshold of attention, with 50% as the judgment criterion;

[0047] Based on the comparison between the degree of attention and the judgment threshold, push a confirmation window for switching the interaction method to the visitor.

[0048] In the second aspect, to improve the above-mentioned disclosed exhibition hall interactive display method supporting artificial intelligence recognition, the present invention further proposes an exhibition hall interactive display system supporting artificial intelligence recognition, which adopts the aforementioned disclosed exhibition hall interactive display method supporting artificial intelligence recognition, and includes:

[0049] A visitor interaction information acquisition module, which is used to acquire the interaction information of visitors;

[0050] An artificial intelligence interaction method selection module, which is used to select a matching artificial intelligence interaction method according to the type of interaction information of the visitor;

[0051] A visitor matching module, which is used to match the interaction information with the visitor;

[0052] A content information transmission module, based on the matching result, transmits the content information of the exhibit to the visitor according to the selected artificial intelligence interaction method;

[0053] An interaction discrimination module, which is used to execute corresponding discrimination rules according to the interaction degree between the visitor and the content information to change the attributes of the artificial intelligence interaction method;

[0054] A feedback information providing module, which is used to provide incremental feedback information to the visitor according to the transmission degree of the content information and unlock the value-added services of the exhibition hall.

[0055] As a further preference of this technical solution, the artificial intelligence interaction method selection module is composed of a first artificial intelligence interaction sub-module and a second artificial intelligence interaction sub-module:

[0056] The first artificial intelligence interaction sub-module is used to execute the construction of virtual exhibit images based on content information, the design of serial levels, and the interaction process with the visitor's image;

[0057] The second artificial intelligence interaction sub-module is used to retrieve exhibit information in the Internet, divide subset information, and perform information push according to the visitor's interaction time and interest connection level.

[0058] Compared with the prior art, the beneficial effects of the present invention are:

[0059] This pavilion interactive display method and system supporting artificial intelligence recognition provide different exhibit information transmissions for visitors in different interaction methods according to the types of visitors. In addition, by obtaining the interaction information of visitors, the exhibition hall can intelligently select suitable interaction methods, enabling visitors to obtain richer and deeper exhibit information during the interaction process;

[0060] At the same time, in actual use, the present invention can adjust the attributes of the interaction method in real time according to the interaction degree of the visitor to ensure the information transmission effect. In addition, the incremental feedback information mechanism not only enhances the visitor's sense of participation, but also unlocks the value-added services of the exhibition hall for the visitor, improving the overall interaction experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a method step diagram disclosed by the present invention;

[0062] Figure 2 It is a supplementary explanatory diagram of step S004 of the present invention;

[0063] Figure 3 It is a structural composition diagram of the reward matrix of the present invention;

[0064] Figure 4 It is a module composition diagram of the disclosed system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0065] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0066] Before understanding the technical solutions proposed by the present invention, it should be clear that the interaction media between the exhibits in the exhibition hall and the visitors can include the following existing technologies.

[0067] Specifically, it includes:

[0068] A visual collector, composed of several high-speed cameras, is used to be installed at a position outside the display cabinet facing the exhibitor. The high-speed cameras can capture the interaction information of the visitors, including facial expressions, actions, and line-of-sight directions.

[0069] An audio collector, arranged around the inside or outer wall of the display cabinet, is used to receive the interaction information of the visitors, including voice commands or feedback sounds.

[0070] A sensor array, distributed around or at key positions of the display cabinet, is used to detect the interaction information of the visitors, including physical touch interaction behaviors.

[0071] A display screen, arranged on the front end face of the display cabinet, is used to display multimedia information related to the exhibits.

[0072] An AI terminal processor, installed in the content of the display screen, is used to process the collected interaction information and the content information of the exhibits, and to build a wireless network.

[0073] It should be added that through the above interaction media, the prior art can achieve interaction with the exhibits.

[0074] Such as Figure 1 As can be seen, the present invention proposes an interactive exhibition method for a museum supporting artificial intelligence recognition, specifically including: Step S100 - Step S600.

[0075] Including: Step S100: Obtain the interaction information of the visitor.

[0076] It should be clear that for the acquisition of the interaction information in Step S100, it is achieved through the visual collector, audio collector, and sensor array in the prior art in the prior art.

[0077] Step S200: Open a matching artificial intelligence interaction method according to the type of the interaction information.

[0078] It should be clear that the types of interaction information in step S200 are divided into first-type information and second-type information, and the artificial intelligence interaction methods are divided into first artificial intelligence interaction methods and second artificial intelligence interaction methods. The first artificial intelligence interaction method and the second artificial intelligence interaction method correspond to the first-type information and the second-type information respectively.

[0079] As a preferred implementation, the first artificial intelligence interaction method includes: steps S201 - S205.

[0080] Step S201: Construct a virtual exhibit image based on content information.

[0081] It should be clear that the construction of the virtual exhibit image in step S201 is achieved through deep learning algorithms and 3D modeling techniques in the prior art.

[0082] Specifically, the deep learning algorithm can extract key features from the obtained basic information, such as the facial features and action trajectories of visitors, and then generate virtual exhibit images related to visitor interaction. The 3D modeling technique is used to convert these two-dimensional image information into three-dimensional and realistic virtual exhibits, providing visitors with a more immersive exhibition experience.

[0083] Step S202: Divide the exhibit image into multiple associated integrated fragments according to the content information, and each integrated fragment represents a part of the content information.

[0084] It should be clear that in this application, by dividing the virtual exhibit image into multiple associated integrated fragments in step S202, not only can the display content of the exhibit be refined, but also the interaction level between visitors and the exhibit can be enhanced. It should be added that during the actual division, each integrated fragment can be divided according to different emphases of the content information. For example, an exhibit may include historical background, structural details, and functional descriptions, so it can be divided into different integrated fragments, which not only makes the display of information more organized, but also allows visitors to selectively and deeply understand each aspect of the exhibit (i.e., different serial levels) according to their interests and needs, improving the personalization and flexibility of the interactive display.

[0085] Step S203: Design corresponding serial levels according to the number of integrated fragments, and the attribute content corresponding to each serial level is different.

[0086] It should be clear that in this invention, the design of the serial levels in step S203 is constructed through the Unity3D engine in the prior art.

[0087] Specifically, during the actual construction process, programmers first create virtual scenes in the Unity3D engine corresponding to the number of integrated fragments. Each scene represents a series of levels. It should be added that the scenes are interconnected through preset logical relationships to form a complete interactive process. In each scene, programmers will design corresponding interactive elements and display content according to the content information of the integrated fragments, such as text descriptions, animation demonstrations, and voice explanations, to ensure that visitors can comprehensively and deeply understand the relevant information of the exhibits during the process of passing through the series of levels.

[0088] Step S204: Construct a visitor image based on the interaction information. The visitor manipulates the visitor image and promotes the interaction between the visitor image and the integrated fragments.

[0089] It should be clear that step S204 in the present invention is used to enable visitors to participate more deeply in the interaction with the exhibits.

[0090] Specifically, existing computer vision technology and existing motion capture technology (captured by a high-speed camera) are used to construct the visitor image. The visitor captures their own manipulation actions through the (high-speed camera), driving the visitor image to shuttle through different virtual scenes (series of levels) and engage in various forms of interaction with each integrated fragment. For example, approaching triggers relevant explanations, and swiping to view more details, thereby further exploring the rich information contained in the exhibits and bringing visitors an immersive and interesting exhibition experience.

[0091] Step S205: After the visitor image interacts with the integrated fragments in the current series of levels, the integrated fragments release a part of the content information and unlock the subsequent series of levels corresponding to the current level.

[0092] It should be noted that in step S205, for the integrated fragments to release a part of the content information and unlock the subsequent series of levels corresponding to the current level, it is based on the program logic preset by the programmer through the Unity3D engine to drive the subsequent process. Specifically, once an interaction action occurs between the visitor image and the integrated fragments, such as an approaching operation, the preset program will immediately capture this behavior signal, and then, in accordance with the set rules, prompt the integrated fragments to release a part of the content information they cover. And at the same time, it will also detect the completion status of the visitor in the current series of levels to determine whether the visitor has met all the interaction conditions of the current level.

[0093] It should be noted that in the prior art corresponding to the first type of information matched by the first artificial intelligence interaction method in the present invention, the interaction information of the visitor is that the visitor gazes at a certain part of the exhibit or makes a preset gesture action. Specifically, when the high-speed camera obtains this type of interaction information, it will trigger the first artificial intelligence interaction method to provide visitors with a more in-depth exhibition experience.

[0094] The following supplementary explanations need to be made for the first artificial intelligence interaction method: In the actual application scenario, the influence process of the discrimination rule on the first artificial intelligence interaction method can be summarized as steps S001 to S004.

[0095] Step S001: Extract the text information corresponding to the attribute content.

[0096] It should be noted that for the extraction of text information in the attribute content in step S001, first, through semantic understanding of each exhibit and its related attributes in the exhibition hall, the unstructured text information is converted into a structured data form, and on the basis of the data form, the text information corresponding to the attribute content is retrieved and matched through the way of network interconnection.

[0097] Step S002: According to the length of the text information content, set the corresponding limit time for each series of levels. The length of the limit time is positively correlated with the length of the text information content.

[0098] Step S003: If the visitor fails to complete the interaction with the current series of levels within the set limit time, the current series of levels will be restarted.

[0099] It should be clear that the linkage between step S002 and step S003 is used in the present invention to ensure that the visitor has enough time to understand and complete the interaction content related to the exhibit, avoiding insufficient interaction caused by insufficient time. At the same time, in actual use, the complexity of different exhibit information and the differences in the visitor's understanding ability are also taken into account. By dynamically adjusting the limit time, the whole interaction process becomes more user-friendly, improving the smoothness and experience of the exhibition. It should be added that if the visitor fails to complete the interaction with the current series of levels within the limit time, the level will be automatically restarted, providing the visitor with another chance to try, ensuring that each visitor can fully understand and experience the relevant information of the exhibit.

[0100] Step S004: When the current series of levels is restarted, a logout window is generated beside the initial visitor image position. The logout window is used to interact with the visitor image and unlock the subsequent series of levels.

[0101] Reference Figure 2It can be known that it should be noted that in step S004, the logout window generation logic is the program logic pre-written by the programmer when using the Unity3D engine to build a series of levels. The program logic includes: when the current series of levels is triggered to restart, a logout window is automatically generated next to the initial visitor image position. The visitor unlocks the subsequent series of levels and continues their exhibition tour by interacting with the logout window, such as clicking or approaching. It should be added that the design of step S004 not only provides flexible choices for visitors but also ensures that they can have a reasonable exit when facing challenges, thus maintaining the overall exhibition smoothness and user experience.

[0102] In addition, it should be added to the first artificial intelligence interaction method that in actual application, the triggering methods of the feedback information in the first artificial intelligence interaction method include: steps S01 - S03.

[0103] Step S01: Construct a reward matrix based on the limited time and the number of series of levels. The reward matrix includes several reward units, and the number of feedback information assigned to each reward unit is different.

[0104] It should be noted that for step S01, the specific form of the reward matrix is as Figure 3 shown, where each reward unit corresponds to an unlocking key, and the unlocking key is composed of the limited time and the number of series of levels.

[0105] Step S02: Obtain the interaction time of the visitor in the current series of levels and the position of the current series of levels among all series of levels respectively.

[0106] It should be clear that step S02 is used in the present invention to obtain the unlocking key corresponding to the open reward unit.

[0107] Step S03: Match and trigger the corresponding reward unit in the reward matrix according to the interaction time and the position of the current series of levels.

[0108] It should be clear that step S03 is used in the present invention to provide incremental feedback information for the visitor to ensure that the visitor can continuously obtain positive incentives and feedback during the exhibition tour.

[0109] Specifically, when the visitor's interaction time in all series of levels is longer and closer to the end of the entire interaction process, the number of feedback information contained in the triggered reward unit is more. In combination with this application, these feedback information are about more in-depth knowledge of the exhibits, hidden interaction elements or preferential information of the exhibition hall. Through the incremental growth of the feedback data, it not only stimulates the visitor's exploration desire but also provides a richer and more interesting exhibition experience for the visitor.

[0110] Finally, it should be added that for the serial level design demonstrated by the first artificial intelligence interaction method, during the actual implementation process, the serial levels can also be replaced with the form of serial images.

[0111] Specifically, the virtual scenes represented by each serial level are transformed into a series of continuously played video clips through 3D rendering technology and virtual reality technology. Each video clip contains content information corresponding to the integrated fragments. During the process of visitors watching the videos, they can unlock subsequent video clips based on the viewing progress and their interaction actions until they fully understand the relevant information of the exhibits.

[0112] As a preferred implementation method, as a preferred implementation manner, the second artificial intelligence interaction method includes: step S210 - step S240.

[0113] Step S210: Retrieve the corresponding exhibit information in the Internet according to the content information.

[0114] It should be clear that step S210 is used in the present invention to obtain information related to the exhibits in order to provide visitors with a more comprehensive and in - depth exhibition experience.

[0115] Specifically, the Ai terminal processor of the exhibit extracts features from the preset exhibit content information, such as the name, type, and historical background of the exhibit, and then uses existing web crawler technology or search engine API to automatically retrieve in the Internet the exhibit information related to this content information, including the detailed introduction, pictures, videos, historical background, and cultural significance of the exhibit, so as to enrich the information dimension of the exhibit and provide visitors with more abundant exhibition content.

[0116] Step S220: Divide the exhibit information into several relevant subset information according to the hall attributes, and each subset information corresponds to a specific exhibition room in the hall.

[0117] It should be clear that during actual use, the Ai terminal processor of the exhibit will intelligently divide the retrieved exhibit information into multiple subsets according to the theme, style, or exhibit type attributes of each exhibition room.

[0118] For example, if there is a room in the hall dedicated to displaying ancient weapons, then the exhibit information related to this room, such as the name, historical background, and manufacturing process of the weapons, will be classified into the same subset information. Such a classification not only helps visitors understand the exhibits more systematically but also makes the display content more in line with the theme of each room, enhancing the overall exhibition experience. At the same time, each subset information will be associated with a specific exhibition room in the hall to ensure that visitors can easily find the information content matching the current room when visiting.

[0119] Step S230: When the visitor is at different positions in the exhibition hall, different subsets of information will be activated to send access instructions to the visitor.

[0120] It should be clear that during the actual operation of step S230, the visitor's smart device, such as a mobile phone or the interactive terminal provided by the exhibition hall, will use location recognition technologies, such as Bluetooth positioning, RFID, or Wi-Fi positioning, to determine the visitor's specific location in the exhibition hall in real time. When the visitor enters a certain exhibition room, it will be linked with the subset of information associated with the exhibition room and automatically activated. At this time, the smart device will display the details of the exhibits contained in the subset of information to the visitor in various forms such as text, pictures, audio, or video.

[0121] For example, in the room displaying ancient weapons, the visitor's smart device may receive a video introducing the historical background of the weapons or a series of high-definition pictures showing the manufacturing process of the weapons. In this way, the visitor can obtain exhibit information closely related to the theme in different exhibition rooms.

[0122] It should be noted that the access instructions involved in step S230 are transmitted to the visitor's smart device via a wireless network. Therefore, in order to ensure the visitor experience, it is necessary to set clear indication signs outside the exhibition hall to guide the visitor to connect to the wireless network inside the exhibition hall during actual use.

[0123] Step S240: The visitor obtains corresponding exhibit information and feedback information based on the number of received access instructions and their location.

[0124] It should be noted that for the acquisition of exhibit information and feedback information in step S240, specifically, it is achieved through data interaction between the visitor's smart device and the wireless network sent by the Ai terminal processors on different exhibits in the exhibition hall.

[0125] Specifically, when the visitor moves in the exhibition hall, the smart device will continuously receive access instructions from the server. These instructions contain exhibit information and feedback information related to the visitor's current location. The visitor can judge how much content they have visited and how much content is left to explore based on the number of received instructions. At the same time, the smart device will also intelligently recommend relevant exhibit information and feedback information according to the visitor's location, enabling the visitor to understand the story and cultural connotation behind the exhibits more deeply.

[0126] For example, when the visitor stops in front of a certain exhibit and inputs interactive information to the exhibit, the smart device obtains more detailed information related to the exhibit or some interesting interactive content, thereby enhancing the visitor's exhibition experience and participation.

[0127] It should be added that since there are multiple rooms in the exhibition hall, and the wireless signal in each room is emitted by the Ai terminal processor in the exhibits in the room, when visitors actually visit the exhibition hall, different rooms need to switch to different wireless network channels.

[0128] It should also be added that, in actual application scenarios, the process of how the discrimination rule affects the second artificial intelligence interaction method can be summarized as steps S010 to S030.

[0129] Step S010: Obtain the interaction time between the visitor and the current subset information.

[0130] It should be clear that in step S010, the current subset information refers to a room in the exhibition hall, and specifically, the time the visitor spends in the current room is obtained, which is determined by the Ai terminal processor in the exhibit by recording the connection time between the visitor's smart device.

[0131] Step S020: Based on the interaction time, an interest connection level between the visitor and the subset information is constructed, and the interest connection level is positively correlated with the interaction time.

[0132] It should be clear that the interest connection level increases as the interaction time increases.

[0133] Step S030: Based on the interest connection level, the interaction between the visitor and the subsequent subset information is opened.

[0134] It should be noted that in step S030, the interaction between the visitor and the subsequent subset information is opened based on the interest connection level. Specifically, when the visitor's interest connection level in the current room reaches a critical threshold, the wireless network channel of the next room adjacent to the current room is automatically unlocked, allowing the visitor to seamlessly switch to the new wireless network channel through his smart device, thereby entering the next room for a visit.

[0135] It should be noted that the critical threshold value proposed in step S030 is a standard set by dividing the path length of the room by the moving speed of the child obtained online.

[0136] It should also be added that, in actual application, the triggering method of feedback information in the second artificial intelligence interaction method includes: step A-step C.

[0137] Step A: Construct an integral matrix based on the interaction time between the visitor and the subset information and the interest connection level. The integral matrix consists of a number of integral units, and the integral value assigned to each integral unit is different.

[0138] Step B: Obtain the visitor's interaction time and interest level in the current display room.

[0139] Step C: Match and accumulate corresponding integral values in the integral matrix according to the interaction time and interest connection level.

[0140] It should be noted that the specific form of the integral matrix in Step A Figure 3 is the same as the form of the displayed reward matrix, only replacing the number of serial levels and the interaction time. In addition, it should be added that the construction of the integral matrix is based on the depth and duration of the interaction between the visitor and each display room in the exhibition hall, so as to measure the visitor's interest in the display content. Each integral unit represents a different combination of interaction time and interest connection level, and the assigned integral value reflects the importance and value of this combination. In Step B, the system will record the interaction time of the visitor in the current display room in real time, and accurately capture the visitor's interest points according to the previously constructed interest connection level. Subsequently, in Step C, these detailed interaction data will be used to locate and accumulate the corresponding integral values in the integral matrix.

[0141] As a preferred implementation manner, in the actual application scenario, the switching process between the first artificial intelligence interaction method and the second artificial intelligence interaction method by the discrimination rule can be summarized as Steps 2001 - 2004.

[0142] Step S2001: Analyze the frequency of the visitor's interaction with the exhibit information using different interaction methods within a unit time interval;

[0143] Step S2002: Evaluate the visitor's attention degree to various interaction methods according to the interaction frequency;

[0144] Step S2003: Construct a percentage threshold of attention degree, with 50% as the judgment criterion;

[0145] Step S2004: Based on the comparison between the attention degree and the judgment threshold, push a confirmation window for switching the interaction method to the visitor.

[0146] It should be noted that in the actual operation of step S2001, the interaction frequency is captured by the Ai terminal processor in the prior art with the help of a visual collector, an audio collector, and a sensor array. In step S2002, the evaluation method of the attention level is to evaluate by recording the proportion of different interaction methods within a unit time. In the actual operation of the present invention, the unit time can be recorded as 2 minutes, that is, within 2 minutes, the Ai terminal processes and respectively records the number of times the visitor interacts with the exhibit through visual interaction, auditory interaction, tactile interaction, etc. In step S2003, the setting of the attention percentage threshold is aimed at distinguishing the main interest points of the visitor. If the attention of the interaction method exceeds 50%, it is determined as the main interaction preference of the visitor. In step S2004, the push of the confirmation window is aimed at reminding the visitor whether to switch to the interaction method that they are more concerned about to improve the interaction experience. In addition, in the actual operation, if the visitor does not respond to the confirmation window within the specified time, the current interaction method is defaulted to remain until the visitor actively initiates a switching request.

[0147] Step S300: Match the interaction information with the corresponding visitor.

[0148] It should be clear that the method of matching the interaction information with the corresponding visitor in step S300 is achieved through face recognition, RFID tag confirmation, and the connection of intelligent devices to the wireless network in the prior art.

[0149] Step S400: Based on the matching result, the exhibition hall transmits the content information of the exhibit to the visitor according to the matching artificial intelligence interaction method, and the content information is presented in different forms within different artificial intelligence interaction methods.

[0150] Step S500: Based on the interaction degree between the visitor and the content information, the exhibition hall executes corresponding discrimination rules, and the discrimination rules are used to change the attributes of the artificial intelligence interaction method.

[0151] Step S600: According to the transmission degree of the content information, the exhibition hall provides feedback information that increases based on the change of the transmission degree for the visitor, and the feedback information is used to allow the visitor to unlock the value-added services of the exhibition hall.

[0152] To improve the above technical solution, the present invention also proposes a museum interactive display system that supports artificial intelligence recognition.

[0153] It should be clear that a museum interactive display system that supports artificial intelligence recognition uses the above-disclosed museum interactive display method that supports artificial intelligence recognition. Refer to Figure 4 It can be known that a museum interactive display system that supports artificial intelligence recognition includes:

[0154] A visitor interaction information acquisition module, which is used to acquire the interaction information of the visitor;

[0155] An artificial intelligence interaction method selection module, which is used to select a matching artificial intelligence interaction method according to the type of interaction information of the visitor;

[0156] A visitor matching module, which is used to match the interaction information with the visitor;

[0157] A content information transmission module, which, based on the matching result, transmits the content information of the exhibit to the visitor according to the selected artificial intelligence interaction method;

[0158] An interaction discrimination module, which is used to execute corresponding discrimination rules to change the attributes of the artificial intelligence interaction method according to the interaction degree between the visitor and the content information;

[0159] A feedback information providing module, which is used to provide incremental feedback information for the visitor according to the transmission degree of the content information, and unlock the value-added services of the exhibition hall.

[0160] The artificial intelligence interaction method selection module consists of a first artificial intelligence interaction sub-module and a second artificial intelligence interaction sub-module:

[0161] The first artificial intelligence interaction sub-module is used to execute the construction of virtual exhibit images based on content information, the design of serial levels, and the interaction process with the visitor's images;

[0162] The second artificial intelligence interaction sub-module is used to retrieve exhibit information on the Internet, divide subset information, and perform information push according to the visitor's interaction time and interest connection level.

[0163] It should be noted that in the actual operation process, the visitor interaction information acquisition module is first responsible for capturing and collecting various types of interaction information of the visitor. The interaction information is then transmitted to the artificial intelligence interaction method selection module. The artificial intelligence interaction method selection module intelligently selects the most suitable artificial intelligence interaction method according to the type of information. Subsequently, the visitor matching module matches the interaction information with a specific visitor to ensure the accuracy and personalization of the information. After the matching is completed, the content information transmission module transmits the content information of the exhibit to the visitor according to the selected artificial intelligence interaction method. The content information may include various forms of display such as images, videos, audios, and interactive games.

[0164] At the same time, the interaction discrimination module continuously monitors the interaction degree between the visitor and the content information, and flexibly executes the discrimination rules according to the visitor's feedback and behavior, and adjusts the attributes of the artificial intelligence interaction method in a timely manner to better meet the needs and expectations of the visitor. In addition, the feedback information providing module provides incremental feedback information for the visitor according to the transmission degree of the content information. These feedback information not only help the visitor better understand and absorb the exhibit information, but also unlock the value-added services of the exhibition hall, such as special exhibitions, interactive experiences, and souvenir exchanges, thereby further enhancing the visitor's visit experience and satisfaction.

[0165] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. An interactive exhibition hall display method supporting artificial intelligence recognition, characterized in that: include: Obtain visitor interaction information; Open up matching AI interaction methods based on visitor type; Match interaction information with corresponding visitors; Based on the matching results, the exhibition hall delivers the content information of the exhibits to visitors according to the matching artificial intelligence interaction method. The content information is presented in different forms in different artificial intelligence interaction methods. Based on the degree of interaction between visitors and content information, the exhibition hall executes corresponding discrimination rules, which are used to change the properties of artificial intelligence interaction methods. The degree of interaction between visitors and content information is used to indicate the depth of visitors' cognition of exhibit information. According to the degree of content information transmission, the exhibition hall provides visitors with feedback information that increases based on the degree of transmission. The feedback information is used to allow visitors to unlock the exhibition hall's value-added services. The degree of content information transmission is used to quantitatively evaluate the efficiency of visitors' reception of exhibit information. The interaction information is divided into first type information and second type information based on the visitor's physiological type, the first type information is any one of the visitor's gaze at the exhibit or making a preset gesture, the second type information is the visitor's active position interaction behavior in the exhibition hall space, the artificial intelligence interaction method is divided into a first artificial intelligence interaction method and a second artificial intelligence interaction method, the first artificial intelligence interaction method and the second artificial intelligence interaction method correspond to the first type information and the second type information respectively; The first artificial intelligence interaction method comprises: Construct virtual exhibit images based on content information; Dividing the exhibit image into a plurality of associated integrated fragments according to content information, each integrated fragment represents a part of the content information; Design corresponding serial levels according to the number of integrated fragments, and each serial level has different corresponding attributes; Construct a visitor image, the visitor manipulates the visitor image based on the interaction information, and promotes the interaction between the visitor image and the integrated fragments; After the visitor image interacts with the integrated fragments in the current serial level, the integrated fragments release a part of the content information and unlock the subsequent serial levels corresponding to the current level; The second artificial intelligence interaction method comprises: Retrieve corresponding exhibit information on the Internet based on content information; The exhibit information is divided into several related subsets according to the attributes of the exhibition hall, and each subset corresponds to a specific exhibition room in the exhibition hall; Based on the location where the interactive information appears in the exhibition hall, activating different subsets of information to issue access instructions to visitors; Visitors obtain corresponding exhibit information and feedback information based on the number of access instructions received and the location of the visitor; The discrimination rules for switching between the first artificial intelligence interaction method and the second artificial intelligence interaction method include: Analyze the frequency of visitors interacting with exhibits in different ways within a unit time interval; Evaluate visitors’ attention to various interaction methods based on the frequency of interaction; Construct a percentage threshold of attention, with 50% as the judging standard; Based on the comparison between the attention level and the judgment threshold, a confirmation window for switching the interaction mode is pushed to the visitor.

2. The method for interactive display in an exhibition hall supporting artificial intelligence recognition according to claim 1, characterized in that: The content of the discrimination rules affecting the first artificial intelligence interaction method includes: Extract text information corresponding to the attribute content; According to the length of the text information, set a corresponding time limit for each series of levels, and the length of the time limit is positively correlated with the length of the text information; If the visitor fails to complete the interaction with the current series level within the set time limit, the current series level will be restarted; When the current series level is restarted, a logout window is generated next to the initial guest image location. The logout window is used to interact with the guest image and unlock subsequent series levels.

3. The interactive exhibition hall display method supporting artificial intelligence recognition according to claim 2 is characterized in that: In the first artificial intelligence interaction method, the triggering method of feedback information includes: A reward matrix is ​​constructed based on the time limit and the number of levels in series. The reward matrix includes several reward units, and the number of feedback information given in each reward unit is different. Obtain the visitor's interaction time in the current serial level and the position of the current serial level in all serial levels respectively; According to the interaction time and the current serial level position, the corresponding reward unit is matched and triggered in the reward matrix.

4. The interactive exhibition hall display method supporting artificial intelligence recognition according to claim 1 is characterized in that: The content of the discrimination rules affecting the second artificial intelligence interaction method includes: Get the interaction time between the visitor and the current subset information; Based on the interaction time, the interest connection level between the visitor and the subset information is constructed. The interest connection level is positively correlated with the interaction time. Open up interactions between visitors and subsequent subset information based on interest connection levels.

5. The interactive exhibition hall display method supporting artificial intelligence recognition according to claim 1 is characterized in that: In the second artificial intelligence interaction method, the triggering method of feedback information includes: An integral matrix is ​​constructed according to the interaction time between the visitor and the subset information and the interest connection level. The integral matrix consists of several integral units, and the integral value assigned to each integral unit is different. Get the visitor's interaction time and interest level in the current display room respectively; According to the interaction time and interest connection level, the corresponding score values ​​are matched and accumulated in the score matrix.

6. An exhibition hall interactive display system supporting artificial intelligence recognition, using an exhibition hall interactive display method supporting artificial intelligence recognition as described in any one of claims 1 to 5, characterized in that: include: Visitor interaction information acquisition module, used to acquire visitor interaction information; An artificial intelligence interaction method selection module is used to select a matching artificial intelligence interaction method based on the visitor's interaction information type; Visitor matching module, used to match interaction information with visitors; The content information delivery module delivers the content information of the exhibits to visitors based on the matching results and the selected artificial intelligence interaction method; An interaction discrimination module is used to execute corresponding discrimination rules to change the properties of the artificial intelligence interaction method according to the degree of interaction between the visitor and the content information; The feedback information provision module is used to provide visitors with incremental feedback information based on the degree of content information delivery, unlocking the exhibition hall's value-added services.

7. The exhibition hall interactive display system supporting artificial intelligence recognition according to claim 6 is characterized by: The artificial intelligence interaction method selection module is composed of a first artificial intelligence interaction submodule and a second artificial intelligence interaction submodule: The first artificial intelligence interaction submodule is used to execute the process of constructing virtual exhibit images based on content information, designing cascade levels, and interacting with visitor images; The second artificial intelligence interaction submodule is used to retrieve exhibit information on the Internet, divide the information into subsets, and push information based on the visitor's interaction time and interest connection level.

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