A method for providing information interaction services using a disguised screen

Abstract

This invention relates to a method for providing information interaction services using a camouflage screen. The camouflage screen includes a display device and a light-transmitting layer. The surface material of the light-transmitting layer is set to a certain degree of texture or shape corresponding to the installation environment of the display device. When the display device does not display interactive information, it displays a corresponding or identical image to the installation environment. The image is presented in combination with the light-transmitting layer, simulating elements or objects matching the installation environment, such as rocks, walls, or stone tablets, creating a camouflage effect that perfectly blends with the scenic area environment, thus achieving a seamless user experience. Based on the user's identity and location information, this invention displays interactive information through the camouflage screen, providing accompanying interactive services to the user, ensuring timely interaction, achieving information tracking, and preventing the user from losing access to interactive information due to the surrounding environment.

Description

Technical Field

[0001] This invention relates to the field of information interaction technology, and more specifically, to a method for providing information interaction services using a disguised screen. Background Technology

[0002] To help tourists navigate scenic areas in an orderly manner, traditional signs or electronic devices, such as information kiosks, are typically installed at key locations to indicate the approximate location of visitors and provide explanations for each location. However, electronic devices, in particular, often clash with the environmental elements of scenic areas, affecting the overall coherence and, to some extent, impacting the visitor experience.

[0003] When tourists visit scenic spots, especially large ones, they often lack a comprehensive understanding of the area's layout, terrain, and pathways, making it difficult to plan their routes. To assist tourists in a more organized way, scenic spots typically install traditional signs or electronic devices (such as information kiosks) at key locations to indicate the general location and provide explanations for each spot. However, these systems cannot provide personalized service to each individual tourist, and tourists often need to actively explore the routes, frequently resulting in repeated visits, getting lost, and missing attractions, leading to a poor overall experience. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method for information interaction services using a camouflage screen. The camouflage screen can perfectly blend into the scenic environment to achieve a seamless experience for users; it can accurately provide personalized information interaction services to users, thereby optimizing the overall efficiency of users' travel.

[0005] The technical solution of the present invention is as follows:

[0006] A method for providing information interaction services using a disguised screen involves identifying the user and obtaining their location information; based on the user's location information, displaying interactive information through a disguised screen at the corresponding location or the display area of ​​the disguised screen; the disguised screen includes a display device and a light-transmitting layer, the light-transmitting layer being disposed on the outside of the display device, and the surface material of the light-transmitting layer being set to a certain degree of texture or shape corresponding to the installation environment of the display device; when the display device does not display interactive information, the display device displays a corresponding or identical image corresponding to the installation environment, and the image is presented by combining with the light-transmitting layer to simulate elements in the installation environment or items matching the installation environment.

[0007] As a preferred option, camouflage screens are arranged in a continuous manner. Based on the user's real-time location information, interactive information is displayed through the corresponding display area of ​​the camouflage screen or through the camouflage screen itself, thus achieving information tracking.

[0008] Preferably, the system acquires user action, facial expression, and mood information via an image acquisition device. Using a pre-trained prediction model trained through machine learning, it predicts the user's next action, including stopping, playing, resting, accelerating, decelerating, or running. This generates display control commands to control the display position of interactive information, and the corresponding display area or device pre-displays the interactive information. If the prediction of the user's next action is inaccurate, the display control commands are corrected based on the user's real-time action data. Furthermore, the system incorporates surrounding crowd density, environmental information, gameplay content, interactive content, and the user's action, facial expression, and mood information as training samples into a sample library for further training and adjustment of the prediction model.

[0009] As a preferred option, several audio-visual display devices and mechanical motion devices are deployed. When the interactive information is associated with the execution control command of the audio-visual display devices or mechanical motion devices, the audio-visual display devices or mechanical motion devices will work together with the interactive information to present audio-visual effects or perform mechanical actions.

[0010] This invention utilizes a peer-to-peer computing system to perform non-specific feature recognition and location recognition of targets, including all users;

[0011] The peer-to-peer computing system includes multiple node devices, and there is no hierarchy among the node devices. The node devices are equipped with data acquisition devices and computing modules. The data acquisition devices include various types of sensors, including image acquisition devices, to collect different types of sensing data. The node devices set at different acquisition locations collect at least one point sample from the consumer, and the point sample is the sensing data of the corresponding sensor type.

[0012] For a given node device, the collected sensing data is processed to obtain result data, which is then propagated to other node devices. Other node devices that receive the result data use it as one of the original data collected, and the result data influences the result data of other node devices. Based on this, without needing to obtain the target's identity information, multiple node devices in the peer-to-peer computing system perform collaborative computing to determine that each unique target is itself, achieving non-specific feature recognition and target location identification.

[0013] Preferably, the current node device receives the result data output by other node devices; for the current node device, the collected sensing data is combined with the result data from other node devices to calculate the result data of the current node device, and then sent to other node devices; the node devices in the peer-to-peer computing system perform collaborative computing as sensing data is collected and result data is calculated.

[0014] As a preferred approach, in a peer-to-peer computing system, for a specific point sample of a target, the subsequent node devices adjust their perceptual attention based on the characteristics of the point sample in the result data transmitted from the node device that collected the point sample to other node devices, or report the characteristics of the point sample for subsequent node devices to adjust their perceptual attention. If other subsequent node devices do not detect the characteristics of the point sample, but can determine from the characteristics of other point samples that the undetected characteristics of the point sample still belong to the target, then the undetected characteristics of the point sample are continued to be represented in the result data of the current node device and transmitted to other node devices.

[0015] As a preferred method, the method of reporting the features of the point sample for subsequent node devices to adjust the perceptual attention is as follows: based on the result data expressing the features of the point sample provided by the preceding node device, or the features of the point sample, the parameters of the data processing model of the subsequent node device are adjusted so that the subsequent node device can improve the computing power of the point sample to identify its features; or, the subsequent node device uses the perceptual attention model to match the features of the received point sample or the result data expressing the features of the point sample to adjust the computing power.

[0016] Preferably, when processing the result data output by several preceding node devices, the node device, based on the data processing model, merges the point sample features and other information described by each node device into the same target when the target described by several preceding node devices can be identified as the same target through certain common point sample features.

[0017] Preferably, when the result data received by the node device indicates that the flag used by the current node device to identify the target before the current receipt of result data is different from the flag used by other node devices to identify the target, and the flags assigned to the target by other node devices have been updated, then the flag used by the current node device to identify the target before the current receipt of result data is converted.

[0018] As a preferred method, the method for converting the flag used by the current node device to identify the target before the current reception of result data is as follows:

[0019] Replace the flag used by the current node device to identify the target before the current reception of result data with the latest flag assigned to the target by other node devices;

[0020] Alternatively, record the conversion relationship between the flag used by the current node device to identify the target before the current reception of result data and the updated flags assigned to the target by other node devices, and perform the conversion when it is necessary to reference the result data received by the current node device in the current reception.

[0021] Alternatively, node devices can deploy transformation models to perform corresponding transformations on the labels of multiple targets based on the input raw data or result data.

[0022] As a preferred option, for one or more point samples collected sequentially by node devices at different collection locations, if the feature values ​​of one or more point samples at different collection locations meet the preset similarity conditions or are determined by a specific model to have a correlation threshold, and are unique at each collection location, then it is determined that the point samples at different collection locations are correlated.

[0023] Preferably, for one or more point samples collected simultaneously by node devices at different acquisition locations, if the node devices at different acquisition locations collect data on the same spatial field, and there is only one target in the spatial field, or the collected point sample can correctly point to one of the multiple targets, then for a certain target, one or more point samples collected by node devices at different acquisition locations are correlated.

[0024] Preferably, the data acquisition device of the node device includes one or more of the following: an image acquisition device, an electromagnetic induction device, a temperature measurement device, a vibration frequency sensing device, and a lidar. The data acquired by the aforementioned devices and the 3D point cloud acquired by the lidar, or the point cloud generated from images acquired by multiple image acquisition devices, are jointly calculated to obtain 3D points with data. The image color, contour, lines, reflectivity, motion trend, electromagnetic characteristics, temperature, temperature change trend, vibration frequency, and vibration frequency change trend based on 2D perception are used as additional attributes of the corresponding 3D points to construct an attributed 3D point cloud. Combining electromagnetic induction, temperature patterns, vibration frequency change characteristics, motion correlation, and reflectivity, the correspondence between each region of the attributed 3D point cloud and each or related part of the consumer's 3D appearance is determined.

[0025] Preferably, when it is necessary to obtain the target's identity information, an identity information acquisition command is triggered. The identity information acquisition command is used as one of the inputs to participate in the calculation of the result data of the node device. By driving the node device in the peer-to-peer computing system that is connected to the barrier-free data collection conditions that can obtain the target's identity information to respond to the corresponding result data, the identity information of the target can be obtained.

[0026] As a preferred approach, the peer-to-peer computing system verifies the authenticity of the target's identity information to determine its permissions. In this system, the node device capable of acquiring identity information does not provide the identity information itself, but only expresses the verification result in the result data of the node device based on the verification requirements for the authenticity of the identity information in the received result data.

[0027] As a preferred option, in a peer-to-peer computing system, the node device capable of obtaining identity information does not provide identity information. Instead, the information source device that drives the provision of identity information establishes an encrypted information transmission channel with the input terminal of the node device that needs to obtain identity information, or establishes an encrypted information transmission channel using other network communication modes, and uses the identity information as one of the inputs of the node device.

[0028] Preferably, the data acquisition device includes one or more of the following: image acquisition device, audio acquisition device, temperature measurement device, vibration frequency sensing device, lidar, chemical sensor, and electromagnetic induction device.

[0029] In this invention, a human-computer interaction device associated with the user connects to the node device as an access device and submits information interaction service requests to the peer-to-peer computing system. Each display device, audio-visual display device, and mechanical motion device joins the peer-to-peer computing system through one or more node devices. If, based on collaborative computing, it is determined that the display device needs to display interactive information, the audio-visual display device needs to display audio-visual effects, and the mechanical motion device needs to execute mechanical motion, the current node device will send a display control command to the display device connected to the current node device according to the calculated result data, controlling the display device to complete the display of interactive information, and sending an execution control command to the audio-visual display device or the mechanical motion device to control the audio-visual display device to complete the display of audio-visual effects, and the mechanical motion device to complete the execution of mechanical motion.

[0030] As a preferred embodiment, interactive information, audio-visual effects, and mechanical actions are represented to result data; the display device, audio-visual display equipment, and mechanical action equipment receive the result data output by the connected node device. If a specific element in the result data indicates that the display device needs to display interactive information, the audio-visual display equipment needs to display audio-visual effects, and the mechanical action equipment needs to execute mechanical actions;

[0031] Alternatively, the resulting data can be used as one of the inputs to the data processing model of the node device. If it is determined that the corresponding display device needs to display interactive information, then the display device will display the corresponding interactive information; if it is determined that the corresponding audio-visual display device needs to display audio-visual effects, then the audio-visual display device will display the corresponding audio-visual effects; if it is determined that the corresponding mechanical action device needs to execute mechanical actions, then the mechanical action device will execute the corresponding mechanical actions.

[0032] Preferably, when the display device needs to display interactive information, the audio-visual display device needs to display audio-visual effects, and the mechanical motion device needs to perform mechanical actions, the display device, the audio-visual display device, and the mechanical motion device combine the result data received from other node devices, calculate their own result data, and control the display device to display the corresponding interactive information, the audio-visual display device to display the corresponding audio-visual effects, and the mechanical motion device to perform the corresponding mechanical actions based on the obtained result data.

[0033] Preferably, the display device, audio-visual display device, and mechanical motion device receive the result data output by other node devices. The principle is as follows: when the corresponding display device needs to display interactive information, the corresponding audio-visual display device needs to display audio-visual effects, and the corresponding mechanical motion device needs to perform mechanical actions, if the result data calculated by one or more node devices can determine the need to display interactive information, the need to display audio-visual effects, or the need to perform mechanical actions, then the corresponding display device, audio-visual display device, and mechanical motion device are added to the node list for transmitting the current result data. The one or more node devices directly transmit the result data to the display device, audio-visual display device, mechanical motion device, or the node device connected to the display device, audio-visual display device, and mechanical motion device; or, the display device, audio-visual display device, and mechanical motion device receive the result data output by other node devices in a layer-by-layer transmission manner.

[0034] As a preferred option, based on preset conditions or algorithm output and model output, the corresponding display devices, audio-visual display equipment, and mechanical motion equipment are added to the node list for transmitting result data.

[0035] The beneficial effects of this invention are as follows:

[0036] The method for information interaction services using a camouflage screen as described in this invention includes a display device and a light-transmitting layer. The surface material of the light-transmitting layer is set to a certain degree of texture or shape corresponding to the installation environment of the display device. When the display device does not display interactive information, it displays a corresponding or identical image corresponding to the installation environment. The image is presented in combination with the light-transmitting layer to simulate elements in the installation environment or items matching the installation environment, such as rocks, walls, stone tablets, etc., achieving a camouflage effect that perfectly blends with the scenic area environment, so as to achieve a seamless experience for the user.

[0037] This invention, based on user identity and location information, displays interactive information through a disguised screen to provide accompanying interactive services to users, ensuring timely interaction with users and achieving the effect of information following, thus preventing users from losing access to interactive information due to the surrounding environment.

[0038] This invention predicts the user's next action based on the user's action information, facial expression information, and expression information, and then controls the disguise screen at the corresponding position of the next action to pre-display the interactive information, ensuring the accuracy and timeliness of the interactive service.

[0039] This invention also integrates interactive information with sound and light display devices and mechanical motion devices. When interactive information is associated with the execution control command of the sound and light display device or the mechanical motion device, the sound and light display device or the mechanical motion device will link with the interactive information to present sound and light effects or perform mechanical actions. Depending on the specific settings, it can improve the efficiency and accuracy of interactive services or provide an immersive gaming experience.

[0040] This invention utilizes a peer-to-peer computing system for collaborative computation, performing non-specific feature identification and location recognition on users to achieve identity verification and positioning. In this peer-to-peer computing system, there is no hierarchy among the node devices, and no fixed connection paths exist between them. Each node device only receives the computation results from other node devices and sends out its own computational results. The detection of events and / or the response of corresponding execution devices (in this invention, including camouflaged display devices, audio-visual display devices, and mechanical action devices) do not rely on a single node device for identification and control, but rather on collaborative computation and joint confirmation by multiple node devices within the peer-to-peer computing system. Without requiring specific features or specific identity information, each unique target can be identified as itself, achieving non-specific feature identification. This invention performs target identification, identity verification, or event monitoring through non-specific feature identification, resulting in high accuracy and precise location recognition. This invention can perform target identification and identity verification without relying on specific features, protecting privacy while simultaneously addressing issues related to transportation, education, medical convenience, epidemic prevention, public services, market behavior, safe production, and civilized behavior.

[0041] This invention employs non-specific feature recognition, effectively preventing risks caused by theft or counterfeiting of specific features, thus significantly enhancing security. It utilizes a non-contact, passive method for seamless target identification, greatly improving ease of execution. Based on the aforementioned peer-to-peer computing system, this invention can be easily deployed across coverage areas ranging from hundreds of meters to hundreds of kilometers, making it suitable for various geographical scales.

[0042] In this invention, the execution device responds to the computation results obtained through collaborative computing, resulting in high response efficiency and avoiding illegal responses such as false execution or failure to execute when required due to network attacks. To prevent hijacking, this invention can also use multiple node devices to collaboratively control the execution device, further enhancing its immunity to hijacking attacks. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the display device and the light-transmitting layer;

[0044] Figure 2 Schematic diagram of the installation effect of the display device;

[0045] In the diagram: 10 is the display device, and 20 is the light-transmitting layer. Detailed Implementation

[0046] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0047] To address the shortcomings of existing technologies, such as poor information interaction service effects and the disruption of the visual integrity of scenic areas by electronic devices, which negatively impacts the user experience, this invention provides a method for information interaction services using camouflage screens. This method accurately provides personalized information interaction services to users, optimizing overall user experience efficiency. Furthermore, the camouflage screens described in this invention achieve a seamless integration with the scenic environment, resulting in a user-friendly experience.

[0048] In the method for information interaction services using a disguised screen described in this invention, user identification and location information are obtained. This can be implemented during the user's journey to or within the scenic area to achieve real-time user tracking. This invention displays interactive information (actually displayed through the disguised screen's display device) on the disguised screen, allowing interaction with the user and thus realizing information interaction services. Specifically, information interaction can be achieved through the display device for inputting and outputting text, image, and voice information; or by acquiring the user's action and facial expression information through an image acquisition device, and acquiring the user's voice information through an audio acquisition device. In this invention, based on the user's location information, interactive information is displayed through a disguised screen at the corresponding location or within the display area of ​​the disguised screen, ensuring that the interactive information corresponds to the user and preventing the information interaction service from failing due to the user losing interactive information.

[0049] In this invention, to achieve a seamless user experience, the display device is disguised, i.e., installed as a disguised screen. Specifically, as... Figure 1 , Figure 2As shown, the camouflage screen includes a display device 10 and a light-transmitting layer 20. The light-transmitting layer 20 covers the outside of the display device 10. The surface material of the light-transmitting layer 20 is set to a certain degree of texture (the surface material of the light-transmitting layer 20 is made into a corresponding smooth or rough texture) or shape according to the installation environment corresponding to the installation position of the display device 10. When the display device 10 does not display interactive information, it displays a corresponding or identical image to the installation environment. The image is presented by combining with the light-transmitting layer 20 to simulate elements or items matching the installation environment, such as rocks, walls, and stone tablets. If necessary, plants can be added for decoration to achieve a camouflage effect that perfectly blends with the scenic environment and prevents the display device 10 from affecting the user's experience. When the display device 10 needs to display interactive information, it overlays the interactive information on an image corresponding or identical to the installation environment, or hides the image corresponding or identical to the installation environment and switches to displaying interactive information.

[0050] To enable real-time location tracking of interactive information for users, this invention employs a continuous arrangement of camouflage screens. Based on the user's real-time location information, interactive information is displayed through the corresponding display area of ​​the camouflage screen or the camouflage screen itself, achieving information tracking. Specifically, the camouflage screens can be implemented as continuous, uninterrupted display devices, meaning the display area is continuous and uninterrupted. When interactive information needs to be displayed, it is displayed in the corresponding display area based on the user's real-time location information. Alternatively, they can be implemented as camouflage screens spaced at intervals, displaying interactive information on the corresponding display device based on the user's real-time location information when needed.

[0051] When interactive information needs to follow the user in real time, in order to ensure that the interactive information is as consistent as possible with the user's play rhythm, this invention further acquires the user's action information, facial expression information, and mood information through an image acquisition device. Using a prediction model pre-trained through machine learning, the system predicts the user's next action, including stopping, playing, resting, accelerating, decelerating, or running, thereby generating display control commands to control the display position of the interactive information. The display area or display device corresponding to the display position pre-displays the interactive information, so that the interactive information closely follows the user's play rhythm, is as consistent as possible with the user's play rhythm, or is displayed at a certain lead time, at the next position the user is about to reach.

[0052] If the prediction of the user's next action is inaccurate, the display control command is corrected based on the user's real-time action information. The surrounding crowd density, environmental information, gameplay content, interactive content, user action information, facial expression information, and expression information are used as training samples and added to the sample library for further training and adjustment of the prediction model to improve its accuracy.

[0053] To improve the efficiency and accuracy of interactive services and provide an immersive gaming experience, this invention integrates interactive information with audio-visual display devices and mechanical motion devices. Specifically, several audio-visual display devices and mechanical motion devices are deployed. When interactive information is associated with execution control commands from these devices, the devices will synchronize with the interactive information to present audio-visual effects or perform mechanical actions. Depending on the specific content of the interactive information, the coordination of audio-visual display devices and mechanical motion devices, by presenting audio-visual effects or performing mechanical actions, can correspondingly improve the efficiency and accuracy of interactive services or provide an immersive gaming experience. For example, a mechanical motion device could be a robotic arm. The robotic arm is hidden on the side of a disguised screen. When the interactive information requires a "hand" to extend beyond the disguised screen, the robotic arm extends synchronously, creating a synchronized effect between the interactive information and the robotic arm, enabling effects such as item delivery and gesture guidance.

[0054] In practical implementation, traditional single-point identification methods can be used to identify users at designated locations to confirm their identities and associate them with location information. Alternatively, the peer-to-peer computing system provided by this invention can be used for non-specific feature-based identity recognition. The peer-to-peer computing system of this invention is based on collaborative computing, does not rely on single-point identification, and distributes computing functions across the entire network, reducing the hardware and software requirements of single-point computing, resulting in high execution efficiency and significantly improved anti-attack capabilities. The system maintains a relatively symmetrical information state among node devices, making it immune to illegal data tampering. Even if a single node device is physically compromised and its transmitted data is altered, the network-wide computation is a highly redundant and complex calculation with numerous multi-dimensional verifications. Therefore, the alteration of data transmitted by a single node device does not affect the overall network computation results. Furthermore, it allows for rapid location of faulty and tampered node devices, ensuring the reliability of the overall network computation results. This, in turn, resolves the conflict between data sharing and information security between departments.

[0055] The result data transmitted between node devices can be the processing result of information rather than the information itself. Therefore, the raw data collected (i.e., perceived data) does not need to be stored. Node devices only receive the calculation results output by other node devices and send out their own calculation results. The amount of information contained in a single calculation result is insufficient to reconstruct any event or target information. A definite result can only be obtained by joint calculation of the calculation results of the entire peer-to-peer computing system, multi-dimensional data matrix elements, and physical space and facility correspondence. The collaborative calculation has less dependence on the information transmitted by a few node devices, thus fundamentally changing the nature of traditional information technology's single-point security sensitivity.

[0056] In this invention, user identity information and location information can be obtained through collaborative computing using the peer-to-peer computing system provided by this invention. Specifically, this invention utilizes the peer-to-peer computing system to perform non-specific feature recognition and location recognition on targets, including all users. The term "non-specific feature recognition" differs from the common understanding of "recognition" in a strict conceptual definition. Commonly, "recognition" refers to identifying the concrete form or specific identity information of a target, such as who it is (including name, specific information indicating the target's identity), or what it is (e.g., a car, a person). However, the "recognition" in this invention refers to identifying each unique target (i.e., a user) as itself; that is, for a given object to be identified, its existence is unique. After implementing "non-specific feature recognition," this invention determines that the object to be identified (i.e., the target that has not been identified or had its identity confirmed) is itself, and not other objects to be identified. The result of "non-specific feature recognition" does not require determining the specific characteristics of the object to be identified, nor does it require determining the object's identity information or concrete form. For example, if a person is considered object A to be verified, and an object is considered object B to be verified, then after implementing "non-specific feature recognition," it is not necessary to identify whether object A is a person or what their specific identity is, nor is it necessary to identify whether object B is an object or what kind of object it is; rather, it is necessary to determine that object A is object A itself, and object B is object B itself. Then, corresponding services or controls can be provided for object A or object B.

[0057] The peer-to-peer computing system comprises multiple node devices, all without a hierarchy, forming a decentralized network and computing architecture. Unlike traditional single-point aggregation computing models, the data transmission direction between node devices in this invention does not have a fixed, predetermined path relationship. In the peer-to-peer computing system described in this invention, a node device processes the collected raw data to obtain result data, and then propagates the result data to other node devices. Other node devices that receive the result data use it as one of their collected raw data, thus influencing the result data of other node devices. For ease of description, the aforementioned "a node device" is referred to as the "current node device," and the "other node devices" are referred to as "subsequent node devices." One aspect of this influence is that the result data obtained by subsequent node devices is not entirely determined by their own collected raw data, but rather jointly determined by the result data output by the current node device. Specifically, the result data output by the current node device may change the data processing model and parameters used by subsequent node devices to calculate the result data, thereby affecting the result data of subsequent node devices. For example, if the output data of the current node device is correlated with the raw data collected by subsequent node devices, it is necessary to consider the impact of the output data of the current node device on the accuracy of the output data of the subsequent node devices. Specifically, for the perception of a specific target, if the result data is calculated based solely on the raw data collected by subsequent node devices, it can only reflect the real-time (including real-time location and time) single-point result judgment of the target within the perception range of the subsequent node devices. However, the output data of the current node device reflects the direct perception data and result judgment of the target at other locations and at other times, or other indirectly related perception data and result judgments, which helps to improve the accuracy and comprehensiveness of the result data of the subsequent node devices, including superimposed calculations of the same dimension and correlation references of different dimensions.

[0058] Because there is no master-slave relationship between node devices in a peer-to-peer computing system, point-to-point transmission is possible. Therefore, for a calculation result corresponding to a specific perceived data point of a target reflected in the output data of a particular node device, the information is relatively symmetrical among other node devices that receive the same result data. Other node devices use the received result data as input, combining it with their own sensor data to calculate their own result data. Their own result data naturally encompasses the received result data and the information reflected by their own sensors, and is transmitted to other node devices in the next layer. Thus, for a specific perceived data point of a target, the information is relatively symmetrical across all node devices. This prevents the impact of tampering or falsification of the calculation process and results of a single node device on the result data. It also serves as a means to detect faulty, tampered, or non-compliant node devices, fundamentally solving the fundamental hidden dangers of traditional information technology: information asymmetry leading to false, forged, and erroneous information, which then becomes a point of entry for fraud and cyberattacks. It also addresses the problems of poor accuracy, excessive time consumption, low credibility, and poor responsiveness in complex integrated applications. Therefore, it can truly become the information infrastructure for comprehensive management of large areas and the infrastructure for the digital economy. Unlike blockchain technology, which relies on independent computation by each node to determine results and emphasizes the preservation of original data, this invention focuses on peer-to-peer collaborative computation among node devices. Through this collaborative computation, each node can adjust its own data processing model (i.e., the algorithm for calculating the result data) and parameters when processing data. This adjustment is a feedback mechanism from all node devices, transforming the computation of all nodes into a unified whole. Instead of individual nodes performing calculations independently, all nodes collaboratively complete the computation. The adjustments to the node devices' data processing models are objectively real and will impact subsequent data processing iterations.

[0059] Node devices are equipped with data acquisition devices (in specific implementations, these may include one or more of the following: image acquisition devices, audio acquisition devices, temperature measurement devices, vibration frequency sensing devices, lidar, chemical sensors, and electromagnetic induction devices) and a computing module. The data acquisition devices include various types of sensors, including image acquisition devices and audio acquisition devices, used to collect different types of corresponding sensor data. The computing module calculates the result data based on a data processing model. Node devices located at different acquisition positions (i.e., at different physical installation locations) collect at least one point sample of the target; the point sample is sensor data corresponding to the sensor type. Based on this, without needing to obtain the target's identity information, multiple node devices in the peer-to-peer computing system perform collaborative calculations to determine that each unique target is itself, achieving non-specific feature recognition; and, furthermore, achieving target location recognition.

[0060] Specifically, taking a given node device as the current node device, and considering the data transmission between its preceding and subsequent node devices (in this invention, preceding and subsequent node devices are only used to describe their sequential relationship with the current node device in the current calculation and data transmission process, and do not imply any necessary sequential or priority relationship between them), the current node device receives the result data output by other node devices (including preceding node devices), and subsequent node devices receive the result data output by other node devices (including the current node device). For the current node device, the collected sensing data is combined with the result data from other node devices (including preceding node devices) to calculate the result data of the current node device, and this result data is sent to other node devices (including subsequent node devices). Similarly, the working process of subsequent node devices is the same as that of the current node device, and preceding node devices also receive the result data from the preceding node devices of their predecessors and perform the same working process as the current node device; that is, the node devices in the peer-to-peer computing system perform the same working process. Furthermore, the node devices in the peer-to-peer computing system perform collaborative calculations as sensing data is collected and result data is calculated. Specifically, the output data of a certain node device is only received and used as input by the subsequent layer of node devices, and the output data of the subsequent layer of node devices will cover the output data of the preceding layer of node devices (including the aforementioned node device).

[0061] In a peer-to-peer computing system, all events are processed synchronously, and it is not necessarily necessary to explicitly produce staged outputs such as what event was discovered or what the specific content of the event is. In a peer-to-peer computing system, only the sensor's perception and the corresponding execution device (in this invention, including the display device of the disguise screen, the audio-visual display device, and the mechanical action device) are clearly responded to. All other intermediate processes are processed simultaneously by collaborative computing. That is, during the operation of this invention, the intermediate process of event discovery is imperceptible. As collaborative computing proceeds and the node device obtains the result data, the corresponding execution device automatically responds and executes.

[0062] To further ensure the trustworthiness of the data source and computation process, in this invention, all node devices encrypt their computational results based on an encrypted consensus mechanism, obtaining encrypted results, which are then sent to other node devices. The encrypted consensus mechanism includes one or more mechanisms, with different mechanisms corresponding to changes in the encryption algorithm structure and parameters of the node devices.

[0063] Node devices communicate using standard-sized data packets (i.e., result data or calculation results). In this invention, the node devices in the peer-to-peer computing system are similar to human neurons. Just as each neuron does not transmit specific data directly describing external events, the node devices do not output raw data. Instead, they process the raw data acquired by connected sensors and data acquisition devices into standard-sized data packets (i.e., result data or calculation results, similar to nerve impulses in neurons) based on their own data processing models (similar to the biological characteristics of nerve cells). The information contained in a single data packet is insufficient to reconstruct any event or target information. A definite result can only be obtained through collaborative computation involving the calculation results across the entire peer-to-peer computing system, multi-dimensional data matrix elements, and the correspondence between physical space and facilities. Collaborative computation has little dependence on the data output by a few node devices, and it simultaneously processes all requests received or initiated by all node devices. It is a collaborative verification computation of highly multi-dimensional related information, thus fundamentally changing the traditional single-point security sensitivity of information systems.

[0064] To ensure data integrity and the effective execution of collaborative computing, this invention deploys a QoS mechanism in the peer-to-peer computing system. The QoS mechanism prioritizes ensuring the transmission quality of result data between node devices.

[0065] In practical implementation, the peer-to-peer computing system can be networked using one or more combinations of 4G, 5G, or MESH modes to suit different application scenarios. The optimal solution is achieved by considering factors such as feasibility and cost. The MESH mode is based on the LTE standard, communicating at the LTE physical layer. Data is carried by a customized frame structure, and interaction is performed using a dedicated wireless communication protocol. Customizing the frame structure to suit peer-to-peer computing and employing a proprietary wireless communication protocol developed for urban cluster peer-to-peer computing further enhances its security and reliability. Furthermore, the wireless algorithm is fully adapted to the multipath channel environment controlled by a consensus mechanism required for peer-to-peer computing. Communication distances range from 100 meters to 10 kilometers within cities, and up to 120 kilometers in the field using omnidirectional antennas. In this embodiment, the Mesh network communication distance is 50-150 meters between indoor nodes and 50 meters to 120 kilometers between outdoor nodes, with each node capable of connecting to 65,535 nodes. In addition, when networking in 4G and 5G modes, there is no limit to the communication distance, and the number of node devices that can be connected depends on the computing power of the computing chip and the communication latency.

[0066] In a peer-to-peer computing system, for a specific point sample of an object to be identified, the result data transmitted from the node device that collected the point sample to other node devices allows subsequent node devices to adjust their perceptual attention based on the features of that point sample (it is not necessary for the result data to contain the features of that point sample, but rather that the features of that point sample participate in the computation of the preceding node device, so that the result data of the preceding node device can be used as input to the data processing model of the subsequent node device, allowing the subsequent node device's data processing model to achieve the effect of adjusting perceptual attention during computation); or, the features of that point sample can be reported for subsequent node devices to adjust their perceptual attention (the features of that point sample are directly described in the result data). If other subsequent node devices do not detect the features of that point sample, but can determine from the features of other point samples that the undetected features of that point sample still belong to the object to be identified, then the features of that undetected point sample are continued to be described in the result data of the current node device and transmitted to other node devices. For example, if a preceding node device senses the color of an object A to be identified, but the current node device does not sense the color of the object A to be identified, but it can be determined from the sensing data of other node devices that there is another object A to be identified besides other objects to be identified, then the color of the object A to be identified that has not been sensed will still be represented in the result data of the current node device.

[0067] In this embodiment, the method for reporting the features of the point sample for subsequent node devices to adjust the perceptual attention is as follows: adjusting the parameters of the data processing model of the subsequent node device based on the features of the point sample provided by the preceding node device, so that the subsequent node device can improve the computing power of the point sample to identify its features; or, the subsequent node device uses the perceptual attention model to match the features of the received point sample to adjust the computing power.

[0068] The “feature” mentioned above has a different meaning from the “feature recognition” in the prior art. The “feature recognition” in the prior art usually refers to information that can determine the identity of a target, while the “feature” in this invention represents a kind of perceived data belonging to the object to be identified, such as coordinates, colors belonging to the object to be identified, etc. The “non-specific feature recognition” of the object to be identified cannot be directly completed by the “feature” perceived by a single point.

[0069] In this embodiment, the method for reporting the features of the point sample for subsequent node devices to adjust the perceptual attention is as follows: based on the result data expressing the features of the point sample provided by the preceding node device (in this invention, the features of the point sample are usually not provided themselves, but expressed in the result data), or the features of the point sample (i.e. the features of the point sample itself), the parameters of the data processing model of the subsequent node device are adjusted so that the subsequent node device can improve the computing power of the point sample to identify its features; or, the subsequent node device uses the perceptual attention model to match the features of the received point sample or the result data expressing the features of the point sample to adjust the computing power.

[0070] When a node device processes the output data from several preceding node devices, based on the data processing model, if the objects to be identified described by several preceding node devices can be determined to be the same target through certain common point sample features, the point sample features and other information described by each node device are merged into the same target. For example, point sample features in physical space that almost completely overlap at the same time can be determined to be the same target.

[0071] When the result data received by a node device indicates that the flag used by the current node device to identify the object to be identified before the current reception of result data is different from the flags used by other node devices to identify the object to be identified, and the flags assigned to the object by other node devices have been updated, then the flag used by the current node device to identify the object to be identified before the current reception of result data is converted. Specifically, the method for converting the flag used by the current node device to identify the object to be identified before the current reception of result data is as follows:

[0072] The flag used by the current node device to identify the object to be identified before the current reception of result data is replaced with the latest flag assigned to the object by other node devices; this is a simpler implementation method provided by the present invention.

[0073] Alternatively, the conversion relationship between the flag used by the current node device to identify the object to be identified before the current receiving result data and the updated flags assigned to the object by other node devices can be recorded, and the conversion can be performed when the current node device's current receiving result data needs to be referenced; this is a relatively complex implementation method provided by the present invention.

[0074] Alternatively, the node device can deploy a conversion model to perform corresponding conversions on the labels of multiple objects to be identified based on the input raw data or result data; this is a more complex implementation provided by the present invention.

[0075] In this invention, in order to improve the effectiveness of "non-specific feature recognition", for one or more point samples collected successively by node devices at different collection locations, if the feature values ​​of one or more point samples at different collection locations meet the preset similarity conditions or are determined by a specific model to have a correlation threshold, and are unique at each collection location, then it is determined that the point samples at different collection locations are correlated.

[0076] On the other hand, for one or more point samples collected simultaneously by node devices at different collection locations, if the node devices at different collection locations collect data on the same spatial field, and there is only one object to be identified in the spatial field, or the collected point sample can correctly point to one of the multiple objects to be identified, then for a certain object to be identified, one or more point samples collected by node devices at different collection locations are correlated.

[0077] In this invention, the data acquisition device of the node device includes one or more combinations of an image acquisition device, an electromagnetic induction device, a temperature measurement device, and a vibration frequency sensing device, and a lidar. The data acquired by the aforementioned devices (i.e., one or more combinations of the image acquisition device, electromagnetic induction device, temperature measurement device, and vibration frequency sensing device) and the three-dimensional point cloud acquired by the lidar, or the point cloud generated from images acquired by multiple image acquisition devices, are jointly calculated to obtain three-dimensional points with data. The image color, contour, lines, reflectivity, motion trend, electromagnetic characteristics, temperature, temperature change trend, vibration frequency, and vibration frequency change trend based on two-dimensional perception are used as additional attributes of the corresponding three-dimensional points to constitute an attributed three-dimensional point cloud. Combining electromagnetic induction, temperature patterns, vibration frequency change characteristics, motion correlation (different motion correlations exhibited by different materials such as ropes and fabrics), and reflectivity, the correspondence between each region of the attributed three-dimensional point cloud and each part or related part of the 3D appearance of the object to be identified is determined. This embodiment utilizes the attributes and correlations of attributed 3D point clouds to determine the relationships between points, the correspondence between the regions to which each related point belongs and each part or related part of the 3D appearance of the object to be identified, and can more accurately determine the point sample features belonging to the object to be identified, thereby improving the efficiency and accuracy of "non-specific feature recognition".

[0078] In the process of "non-specific feature recognition," this invention can also acquire the identity information of the object to be identified when necessary. Specifically, when it is determined that the identity information of the object to be identified needs to be acquired, an identity information acquisition command is triggered. This command is used as one of the inputs in the calculation of the result data of the node device. By driving the node device in the peer-to-peer computing system, which is connected to the barrier-free data collection conditions capable of acquiring the identity information of the object to be identified, to respond with the corresponding result data, the identity information of the object to be identified is acquired. The acquisition of identity information is also the result of collaborative computing; that is, the acquisition of identity information is triggered by the determination that it needs to be acquired, rather than by an additional triggering through a specific request command. Based on this invention, if permission calculation is triggered by a request command, in most cases it can be completed without acquiring identity information. Only in a few cases, when it is found that permission calculation cannot be completed without acquiring identity information, will the determination that it is necessary to acquire identity information be generated according to implementation requirements. For example, if collaborative computing reveals that a person's identity information exists in several location-based QR code registration systems, package pickup registration systems, or consumer registration systems, and prior authorization from the person or legal access to these systems is obtained, then the peer-to-peer computing system can drive node devices connected to these systems via barrier-free data collection. The obtained information is then sent to the peer-to-peer computing system through each node device for information comparison and to provide accurate identity information. Based on this, the present invention can also minimize the possibility of identity tampering with a system.

[0079] Specifically, the peer-to-peer computing system determines the permissions of an object by verifying the authenticity of its identity information. In this system, node devices capable of acquiring identity information may or may not provide the identity information itself (depending on implementation requirements), but instead express the verification result in their own result data based solely on the verification requirements for the authenticity of the identity information within the received result data. That is, in this invention, even when a node device capable of acquiring identity information does not provide it, the verification result is expressed solely in its own result data based on the verification requirements for the authenticity of the identity information within the received result data.

[0080] When a node device in a peer-to-peer computing system that can obtain identity information does not provide identity information, the information source device that drives the provision of identity information establishes an encrypted file transmission channel with the input terminal of the node device that needs to obtain identity information, or establishes an encrypted information transmission channel using other network communication modes; and uses the identity information as one of the inputs of the node device.

[0081] When necessary, in order to meet the needs of other traditional computing modes for raw data, such as the need for evidence storage in traditional evidence presentation, in this embodiment, the node settings can be equipped with a data storage device for storing the raw data sensed by the sensor.

[0082] In practical implementation, the node device can also be equipped with leakage protection and other functions in its power supply. The node device can also provide various communication interfaces, including fiber optic interfaces and wireless communication interfaces; it can also provide a data interface for connecting external storage devices. The node device can be powered by solar energy or mains power. When implemented outdoors, the node device can be installed on poles such as streetlights (without crossarms, mounted on the main pole, or integrated into the lampshade); in pole-less areas, if implemented indoors, it can be wall-mounted or integrated into the ceiling.

[0083] When this invention is implemented indoors and outdoors, the node devices, as artificial intelligence facilities installed in public spaces, can serve as digital economy infrastructure for urban clusters, providing 24 / 7 seamless coverage. Through collaborative computing across node devices, vehicle identification at any location within the coverage area can achieve near 100% accuracy, with location identification accuracy related to sensor accuracy.

[0084] In this peer-to-peer computing architecture, all node devices are of the same type and function. Each node device dynamically adjusts its data processing model in real time according to the network's consensus mechanism. The raw data collected by the data acquisition devices (including sensors, cameras, etc.) connected to each node device is processed and encrypted by the node device according to its own data processing model, generating byte-level processing and encryption results (i.e., result data). This result data is then sent to other node devices (the computational and encryption results output by other node devices simultaneously received by the current node device are also considered part of the raw data collected by the current node device). Therefore, the effect of the raw data sensed by each sensor will propagate exponentially among a massive number of peer-to-peer node devices. If each node device sends its result data to 100 surrounding node devices, after four units of time, hundreds of millions of node devices will be affected by the event sensed by that sensor. In this computing model, information is relatively symmetrical and immune to tampering and forgery. It fundamentally solves the inherent hidden dangers of traditional information technology, namely, the false, forged, and erroneous information caused by information asymmetry, which in turn become entry points for fraud and cyberattacks, as well as the problems of long cycles, poor accuracy, and poor adaptability in complex and integrated applications. In turn, it truly becomes an information infrastructure for comprehensive management of large areas and a digital economy infrastructure.

[0085] This invention utilizes the collaborative computing of a peer-to-peer computing system. When the results of this collaborative computing can identify an event, the event discovery is complete. In this embodiment, the event discovery by the peer-to-peer computing system includes the event's content, its location, and the corresponding response. In a peer-to-peer computing system, all events are processed synchronously; it is not necessarily necessary to explicitly produce staged outputs such as what event was discovered or its specific content. In a peer-to-peer computing system, only the sensor's perception and the corresponding execution device's response are explicitly defined. All other intermediate processes are handled simultaneously by collaborative computing. That is, during the operation of this invention, the intermediate process of event discovery is imperceptible; it is achieved as collaborative computing progresses, the node devices acquire the result data, and the corresponding execution devices automatically respond and execute.

[0086] In this invention, each display device, audio-visual display device, and mechanical motion device serves as an execution device, joining the peer-to-peer computing system through one or more node devices. To prevent hijacking, this invention can use multiple node devices to collaboratively control the display device, audio-visual display device, and mechanical motion device, further enhancing immunity to hijacking attacks. The human-computer interaction device associated with the user connects to the node devices as an access device, submitting information interaction service requests to the peer-to-peer computing system. In this invention, information interaction service requests, display control commands, and execution control commands can be considered as request commands. Responses to request commands include various scenarios such as "request-execution," "request-response," or others. When the result data calculated by one or more node devices in the peer-to-peer computing system matches the request command, the result corresponding to the request command is represented in the result data output by one or more node devices, according to preset conditions or a pre-deployed program or data processing model deployed on the node devices. If, based on collaborative computing, it is determined that the current node device needs to respond to the request command, the current node device will send instructions to the execution device connected to it according to the calculated result data, controlling the execution device to complete the response action; that is, a "demand-execution" situation. In this invention, if, based on collaborative computing, it is determined that the display device needs to display interactive information, the audio-visual display device needs to display audio-visual effects, and the mechanical action device needs to execute mechanical actions, the current node device will send a display control instruction to the display device connected to it according to the calculated result data, controlling the display device to complete the display of interactive information, and send an execution control instruction to the audio-visual display device or the mechanical action device, controlling the audio-visual display device to complete the display of audio-visual effects, and the mechanical action device to complete the execution of mechanical actions.

[0087] Based on peer-to-peer computing, the execution device can act as one of the node devices. As collaborative computing progresses, when the result data obtained by the execution device corresponds to the request command and can be used to perform related operations, the execution device completes the response to the request command. In this invention, interactive information, audio-visual effects, and mechanical actions are represented by the result data. The display device, audio-visual display device, and mechanical action device receive the result data output by the connected node devices. If a specific element in the result data indicates that the display device needs to display interactive information, the audio-visual display device needs to display audio-visual effects, or the mechanical action device needs to execute mechanical actions, then...

[0088] Alternatively, the resulting data can be used as one of the inputs to the data processing model of the node device. If it is determined that the corresponding display device needs to display interactive information, then the display device will display the corresponding interactive information; if it is determined that the corresponding audio-visual display device needs to display audio-visual effects, then the audio-visual display device will display the corresponding audio-visual effects; if it is determined that the corresponding mechanical action device needs to execute mechanical actions, then the mechanical action device will execute the corresponding mechanical actions.

[0089] When a display device needs to show interactive information, an audio-visual display device needs to display audio-visual effects, or a mechanical motion device needs to perform a mechanical action, the display device, audio-visual display device, and mechanical motion device, combined with the result data received from other node devices, calculate their own result data. Based on the obtained result data, they control the display device to display the corresponding interactive information, the audio-visual display device to display the corresponding audio-visual effects, and the mechanical motion device to perform the corresponding mechanical action. In this invention, the display device, audio-visual display device, and mechanical motion device do not need to first determine whether they need to respond. Instead, they combine the result data received from other node devices with the perception data collected by their own sensors, input it into their own data processing model, and the output result data determines whether the display device displays interactive information and what interactive information it displays, whether the audio-visual display device presents audio-visual effects and what content of the audio-visual effects it presents, and whether the mechanical motion device performs a mechanical action and what mechanical action it performs.

[0090] In this invention, the calculated results include the optimal solutions for all scenarios obtained through collaborative calculations involving all users within the display area and the external environment at the current moment. Interactive information is displayed via a display device, audio-visual effects are presented via an audio-visual display device, and mechanical actions are executed via a mechanical action device. In this invention, the results of calculations for all types of information in the peer-to-peer computing system are presented as result data. All display devices, audio-visual display devices, and mechanical action devices, as node devices, contribute the optimal solutions for all scenarios during collaborative calculations within the peer-to-peer computing system. Furthermore, the display control commands and execution control commands for all display devices, audio-visual display devices, and mechanical action devices are the optimal solution commands output by the node devices connected to them after collaborative calculations. This invention eliminates the traditional generation and sending of commands to avoid security vulnerabilities that could make display devices, audio-visual display devices, and mechanical action devices vulnerable points.

[0091] In this embodiment, the display device, the audio-visual display device, and the mechanical motion device are node devices that connect to the execution components of specific functions. The execution feedback information of the execution components of the display device, the audio-visual display device, and the mechanical motion device is fed back to the display device, the audio-visual display device, and the mechanical motion device, respectively, and participates in the calculation of the subsequent result data of the display device, the audio-visual display device, and the mechanical motion device.

[0092] In this invention, since the display device, audio-visual display device, and mechanical motion device can all serve as node devices, their response execution is based on the computational results obtained through collaborative computing. This results in high response efficiency and avoids illegal responses such as false execution or failure to execute when required due to network attacks. To prevent hijacking, this invention can also use multiple node devices to collaboratively control the display device, audio-visual display device, and mechanical motion device, further enhancing immunity to hijacking attacks.

[0093] In a peer-to-peer computing system, the result data calculated and output by node devices can be implemented as a state corresponding to the perceived data (i.e., the raw data), which can be represented using state values. Therefore, node devices do not need to store and transmit the raw data. In this embodiment, the data or elements in the multidimensional matrix are related to the installation location, attributes, etc., of each node device. Therefore, when transmitting the result data, what is actually transmitted is the transcoded result after transcoding multiple sets of parameters. A multidimensional matrix is ​​actually a combination of multiple sets of parameters. For example, if the path to a target is from abcd, and the physical locations of the abcd node devices are fixed, then the sequence abcd can be expressed using a single character or a similar concept during multi-parameter transcoding and transmission.

[0094] Based on the technical characteristics of peer-to-peer computing, it can be applied to various application scenarios that provide targeted services or control for a specific target or event. Since the data transmitted between node devices is the result of information processing, rather than the information itself, the raw data collected (i.e., perceived data) does not need to be stored. Node devices only receive the computation results output by other node devices and send out their own computation results. The information contained in a single computation result is insufficient to reconstruct any event or target information; a definite result can only be obtained through collaborative computation involving the computation results across the entire peer-to-peer computing system, multi-dimensional data matrix elements, and the correspondence between physical space and facilities. Collaborative computation has less dependence on the information transmitted by a few node devices, thus fundamentally changing the traditional single-point security sensitivity of information systems.

[0095] In this invention, since the output data of each node device reflects the state evolution of the output data of the preceding node devices, the behavior, attributes, state, or events of the target when it was perceived by the preceding node devices can be inferred based on the output data received by the current node device. For example, when it is necessary to find the location of target 'a' 15 minutes ago, the location of the node device that perceived target 'a' can be obtained at the current moment, thus inferring the location of target 'a'. Then, based on the transmission path of the output data, it can be inferred back to 15 minutes ago to estimate the location of target 'a' 15 minutes ago (determined by the node device that perceived target 'a'). Furthermore, the node device does not need to store the original data about target 'a'. That is, based on this invention, it is not necessary to identify the original data to find target 'a', but rather to first infer the node device that perceived target 'a', and if necessary, obtain the original data about target 'a' at the time when it needs to be found from the storage device connected to the node device.

[0096] In this invention, the display device, the audio-visual display device, and the mechanical action device receive the result data output by other node devices. The principle is as follows: when the corresponding display device needs to display interactive information, the corresponding audio-visual display device needs to display audio-visual effects, and the corresponding mechanical action device needs to perform mechanical actions, if the result data calculated by one or more node devices can determine the display device that needs to display interactive information, the audio-visual display device that needs to display audio-visual effects, and the mechanical action device that needs to perform mechanical actions, then the corresponding display device, audio-visual display device, and mechanical action device are added to the node list for transmitting the current result data. The one or more node devices directly transmit the result data to the display device, audio-visual display device, mechanical action device, or the node device connected to the display device, audio-visual display device, and mechanical action device. The corresponding display device, audio-visual display device, and mechanical action device are added to the node list for transmitting result data based on preset conditions or algorithm output or model output.

[0097] Alternatively, display devices, audio-visual display equipment, and mechanical motion devices receive the result data output by other node devices in a layer-by-layer transmission manner. During the collaborative computing process of the peer-to-peer computing system, each node device calculates a list of nodes that need to receive the result data. Based on the current result data, it clearly identifies one or more execution devices (including display devices, audio-visual display equipment, and mechanical motion devices) that need to be added. These execution devices, or the node devices connected to them, are directly designated as subsequent node devices in the next layer to directly receive the current result data, achieving cross-layer transmission and transforming the peer-to-peer computing system into a three-dimensional architecture. For example, if the result data of the current node device clearly indicates the need for evidence, according to the normal layer-by-layer transmission method, the result data of the current node device would require at least one or more layers of transmission to reach the corresponding node device. However, if the corresponding node device is added to the node list, it can directly receive the result data of the current node device in the next layer of transmission, thereby significantly shortening the processing time and improving responsiveness. This invention employs a peer-to-peer computing system. Therefore, this temporary construction is precisely the advantage of this invention. The traditional information architecture that aggregates layer by layer cannot withstand the complex computing demands brought about by this temporary network construction.

[0098] The above embodiments are merely illustrative of the present invention and are not intended to limit the invention. Any changes or modifications to the above embodiments based on the technical essence of the present invention will fall within the scope of the claims of the present invention.

Claims

1. A method for providing information interaction services using a disguised screen, characterized in that, The system identifies users and obtains their location information; based on the user's location information, it displays interactive information through a camouflage screen at the corresponding location or the display area of ​​the camouflage screen; it continuously arranges camouflage screens and displays interactive information through the corresponding display area of ​​the camouflage screen or the camouflage screen based on the user's real-time location information, thus achieving information tracking. The camouflage screen includes a display device and a light-transmitting layer. The light-transmitting layer is disposed on the outside of the display device, and the surface material of the light-transmitting layer is set to a smooth or rough texture or shape corresponding to the installation environment of the display device. When the display device does not display interactive information, the display device displays a corresponding or identical image corresponding to the installation environment. The image is presented by combining with the light-transmitting layer to simulate elements in the installation environment or items that match the installation environment. The peer-to-peer computing system is used to perform non-specific feature recognition and location recognition of targets, including all users; The peer-to-peer computing system includes multiple node devices, and there is no hierarchy among the node devices. The node devices are equipped with data acquisition devices and computing modules. The data acquisition devices include various types of sensors, including image acquisition devices, to collect different types of sensing data. The node devices set at different acquisition locations collect at least one point sample from the consumer, and the point sample is the sensing data of the corresponding sensor type. For a given node device, the collected sensing data is processed to obtain result data, which is then propagated to other node devices. Other node devices that receive the result data use it as one of the original data collected, and the result data influences the result data of other node devices. Based on this, without needing to obtain the target's identity information, multiple node devices in the peer-to-peer computing system perform collaborative computing to determine that each unique target is itself, achieving non-specific feature recognition and target location identification.

2. The method for providing information interaction services using a disguised screen according to claim 1, characterized in that, The system acquires user action, facial expression, and mood information through an image acquisition device. Using a prediction model pre-trained through machine learning, it predicts the user's next action, including stopping, playing, resting, accelerating, decelerating, or running. This predictive action generates display control commands to control the display position of interactive information. The corresponding display area or display device then pre-displays the interactive information. If the prediction of the user's next action is inaccurate, the display control commands are corrected based on the user's real-time action data. The system also adds surrounding crowd density, environmental information, gameplay content, interactive content, and the user's action, facial expression, and mood information as training samples to a sample library for further training and adjustment of the prediction model.

3. The method for providing information interaction services using a disguised screen according to claim 1, characterized in that, Several audio-visual display devices and mechanical motion devices are deployed. When the interactive information is associated with the execution control command of the audio-visual display devices or mechanical motion devices, the audio-visual display devices or mechanical motion devices will link with the interactive information to present audio-visual effects or perform mechanical actions.

4. The method for providing information interaction services using a disguised screen according to claim 1, characterized in that, The current node device receives the result data output by other node devices; for the current node device, it combines the collected sensing data with the result data from other node devices to calculate the result data of the current node device, and then sends it to other node devices; In a peer-to-peer computing system, node devices perform collaborative computing as they collect sensing data and calculate result data.

5. The method for providing information interaction services using a disguised screen according to claim 1, characterized in that, In a peer-to-peer computing system, for a specific point sample of a target, the resulting data transmitted from the node device that collected the point sample to other node devices allows subsequent node devices to adjust their perceptual attention based on the features of that point sample, or report the features of that point sample for subsequent node devices to adjust their perceptual attention. If other subsequent node devices do not detect the features of that point sample, but can determine from the features of other point samples that the undetected features still belong to the target, then the undetected features of that point sample are continued to be represented in the result data of the current node device and transmitted to other node devices.

6. The method for providing information interaction services using a disguised screen according to claim 5, characterized in that, The method for reporting the features of the point sample to subsequent node devices for adjusting the perceptual attention is as follows: based on the result data expressing the features of the point sample provided by the preceding node device, or the features of the point sample, adjust the parameters of the data processing model of the subsequent node device so that the subsequent node device can improve the computing power of the subsequent node device to identify the features of the point sample; or, the subsequent node device uses the perceptual attention model to match the features of the received point sample or the result data expressing the features of the point sample to adjust the computing power.

7. The method for providing information interaction services using a disguised screen according to claim 6, characterized in that, When a node device processes the output data of several preceding node devices, based on the data processing model, if the target described by several preceding node devices can be identified as the same target through certain common point sample features, the point sample features and other information described by each node device are merged into the same target.

8. The method for providing information interaction services using a disguised screen according to claim 7, characterized in that, If the result data received by a node device indicates that the flag used by the current node device to identify the target before the current receipt of result data is different from the flag used by other node devices to identify the target, and the flags assigned to the target by other node devices have been updated, then the flag used by the current node device to identify the target before the current receipt of result data is converted.

9. The method for providing information interaction services using a disguised screen according to claim 7, characterized in that, The method for converting the flag used to identify the target by the current node device before the current reception of result data is as follows: Replace the flag used by the current node device to identify the target before the current reception of result data with the latest flag assigned to the target by other node devices; Alternatively, record the conversion relationship between the flag used by the current node device to identify the target before the current reception of result data and the updated flags assigned to the target by other node devices, and perform the conversion when it is necessary to reference the result data received by the current node device in the current reception. Alternatively, node devices can deploy transformation models to perform corresponding transformations on the labels of multiple targets based on the input raw data or result data.

10. The method for providing information interaction services using a disguised screen according to claim 5, characterized in that, For one or more point samples collected sequentially by node devices at different collection locations, if the feature values ​​of one or more point samples at different collection locations meet the preset similarity conditions or are determined by a specific model to have a correlation threshold, and are unique at each collection location, then it is determined that the point samples at different collection locations are correlated.

11. The method for providing information interaction services using a disguised screen according to claim 5, characterized in that, If node devices at different acquisition locations collect one or more point samples simultaneously, and if the node devices at different acquisition locations collect samples from the same spatial field, and there is only one target in the spatial field, or the collected point sample can correctly point to one of the multiple targets, then for a certain target, the one or more point samples collected by node devices at different acquisition locations are correlated.

12. The method for providing information interaction services using a disguised screen according to claim 11, characterized in that, The data acquisition device of the node equipment includes one or more of the following: image acquisition device, electromagnetic induction device, temperature measurement device, vibration frequency sensing device, and lidar. It performs joint calculations on the data acquired by the above devices and the 3D point cloud acquired by the lidar, or on the point cloud generated from images acquired by multiple image acquisition devices, to obtain 3D points with data. It uses image color, contour, lines, reflectivity, motion trend, electromagnetic characteristics, temperature, temperature change trend, vibration frequency, and vibration frequency change trend based on 2D perception as additional attributes of the corresponding 3D points, forming an attributed 3D point cloud. Combining electromagnetic induction, temperature patterns, vibration frequency change characteristics, motion correlation, and reflectivity, it determines the correspondence between each region of the attributed 3D point cloud and each or related part of the consumer's 3D appearance.

13. The method for providing information interaction services using a disguised screen according to claim 1, characterized in that, When it is necessary to obtain the target's identity information, an identity information acquisition command is triggered. The identity information acquisition command is used as one of the inputs to participate in the calculation of the result data of the node device. By driving the node device in the peer-to-peer computing system that is connected to the barrier-free data acquisition conditions that can obtain the target's identity information, the corresponding result data is responded to, thereby realizing the acquisition of the target's identity information.

14. The method for providing information interaction services using a disguised screen according to claim 13, characterized in that, Peer-to-peer computing systems determine a target's permissions by verifying the authenticity of the target's identity information. In this system, the node devices that can obtain identity information do not provide the identity information itself, but only express the verification results in the result data of the node device based on the verification requirements for the authenticity of the identity information in the received result data.

15. The method for providing information interaction services using a disguised screen according to claim 14, characterized in that, In a peer-to-peer computing system, node devices capable of acquiring identity information do not provide identity information. Instead, the information source device that drives the provision of identity information establishes an encrypted information transmission channel with the node device input terminal that needs to acquire identity information, or establishes an encrypted information transmission channel using other network communication modes, and uses the identity information as one of the inputs to the node device.

16. The method for providing information interaction services using a disguised screen according to claim 1, characterized in that, The data acquisition device includes one or more of the following: image acquisition device, audio acquisition device, temperature measurement device, vibration frequency sensing device, lidar, chemical sensor, and electromagnetic induction device.

17. The method for providing information interaction services using a disguised screen according to claim 1, characterized in that, Human-computer interaction devices associated with users connect to node devices as access devices and submit information interaction service requests to the peer-to-peer computing system. Each display device, audio-visual display device, and mechanical motion device joins the peer-to-peer computing system through one or more node devices. If, based on collaborative computing, it is determined that the display device needs to display interactive information, the audio-visual display device needs to display audio-visual effects, and the mechanical motion device needs to execute mechanical motion, the current node device will send display control commands to the display device connected to the current node device according to the calculated result data, controlling the display device to complete the display of interactive information, and sending execution control commands to the audio-visual display device or mechanical motion device, controlling the audio-visual display device to complete the display of audio-visual effects, and the mechanical motion device to complete the execution of mechanical motion.

18. The method for providing information interaction services using a disguised screen according to claim 17, characterized in that, Interactive information, audio-visual effects, and mechanical motion representations are transformed into result data. Display devices, audio-visual display equipment, and mechanical motion equipment receive the result data output by the connected node devices. If a specific element in the result data indicates that the display device needs to display interactive information, the audio-visual display equipment needs to display audio-visual effects, or the mechanical motion equipment needs to execute mechanical motions. Alternatively, the resulting data can be used as one of the inputs to the data processing model of the node device. If it is determined that the corresponding display device needs to display interactive information, then the display device will display the corresponding interactive information; if it is determined that the corresponding audio-visual display device needs to display audio-visual effects, then the audio-visual display device will display the corresponding audio-visual effects; if it is determined that the corresponding mechanical action device needs to execute mechanical actions, then the mechanical action device will execute the corresponding mechanical actions.

19. The method for providing information interaction services using a disguised screen according to claim 18, characterized in that, When a display device needs to display interactive information, an audio-visual display device needs to display audio-visual effects, or a mechanical motion device needs to perform mechanical actions, the display device, the audio-visual display device, and the mechanical motion device combine the result data received from other node devices, calculate their own result data, and control the display device to display the corresponding interactive information, the audio-visual display device to display the corresponding audio-visual effects, and the mechanical motion device to perform the corresponding mechanical actions based on the obtained result data.

20. The method for providing information interaction services using a disguised screen according to claim 19, characterized in that, Display devices, audio-visual display devices, and mechanical motion devices receive result data output from other node devices. The principle is as follows: when a corresponding display device needs to display interactive information, a corresponding audio-visual display device needs to display audio-visual effects, or a corresponding mechanical motion device needs to perform mechanical actions, if the result data calculated by one or more node devices can determine the need to display interactive information, the need to display audio-visual effects, or the need to perform mechanical actions, then the corresponding display device, audio-visual display device, or mechanical motion device is added to the node list for transmitting the current result data. The one or more node devices directly transmit the result data to the display device, audio-visual display device, mechanical motion device, or the node device connected to the display device, audio-visual display device, or mechanical motion device; or, the display device, audio-visual display device, or mechanical motion device receives result data output from other node devices in a layer-by-layer transmission manner.

21. The method for providing information interaction services using a disguised screen according to claim 20, characterized in that, Based on preset conditions or algorithm output and model output, the corresponding display devices, audio-visual display equipment, and mechanical motion equipment are added to the node list for transmitting result data.

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