Intelligent glasses independent communication method and system based on RedCap and eSIM, and medium

Abstract

The invention provides an intelligent glasses independent communication method and system based on RedCap and eSIM and a medium, and the method comprises the steps: after intelligent glasses are started, initiating a registration request to a 5G core network based on an embedded eSIM chip, and after the core network completes identity authentication and authentication, distributing an independent IP address for the intelligent glasses; collecting interaction data, and encrypting the interaction data; performing data processing on the interaction data based on a cloud AI platform to generate result data; analyzing the result data based on voice recognition and a machine translation model to obtain AR content or an output text or a voice result; the signal intensity of the 5G core network is monitored in real time, the signal intensity is compared with a set intensity threshold value, and a communication mode is dynamically switched based on a comparison result; the intelligent glasses are completely independently networked, free movement and use of the intelligent glasses are achieved, real-time translation, AR navigation, remote cooperation and cloud cooperation application are supported, and user experience and scene adaptability are improved.

Description

Technical Field

[0001] This application relates to the field of communication technology, and more specifically, to a method, system, and medium for independent communication of smart glasses based on RedCap and eSIM. Background Technology

[0002] With the development of artificial intelligence and augmented reality (AR) technologies, smart glasses, as the next-generation human-computer interaction interface, are gradually evolving from auxiliary display devices to independent smart terminals. Current smart glasses generally rely on Bluetooth or Wi-Fi to connect to smartphones, which has the following technical shortcomings: High dependence: It must be paired with a mobile phone for use and cannot connect to the Internet independently without the phone, which limits the usage scenarios; Unstable connection: Bluetooth communication range is short (usually <10 meters) and easily interfered with; public Wi-Fi networks pose security risks and have discontinuous coverage; High latency: Data needs to be relayed through the mobile phone, resulting in high response latency (usually >100ms) for real-time applications such as voice interaction and AR rendering. Functionality limitations: It cannot realize independent cloud-side AI computing, real-time navigation, remote collaboration and other end-to-cloud direct connection applications.

[0003] While 5G technology offers high bandwidth and low latency, traditional eMBB (enhanced mobile broadband) 5G modules have high power consumption, high cost, and large size, making them unsuitable for small wearable devices. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, and medium for independent communication of smart glasses based on RedCap and eSIM, enabling completely independent networking, eliminating dependence on smartphones, and allowing smart glasses to be used as independent terminals with free movement and operation. It supports real-time translation, AR navigation, remote collaboration, and cloud collaborative applications, thereby improving user experience and scenario adaptability.

[0005] This application also provides an independent communication method for smart glasses based on RedCap and eSIM, including: After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. Once user activation of the target application is detected, interaction data is collected and encrypted. The encrypted interactive data is transmitted to the cloud AI platform, which then processes the data to generate the final data. The results data are analyzed based on speech recognition and machine translation models to obtain AR content or output text or speech results; The signal strength of the 5G core network is monitored in real time, and the signal strength is compared with the set strength threshold to obtain the comparison result. Based on the comparison result, the communication mode is dynamically switched.

[0006] Optionally, in the independent communication method for smart glasses based on RedCap and eSIM described in the embodiments of this application, after the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses, specifically including: After the smart glasses are powered on, an initialization command is sent to initialize the smart glasses. After initialization, the self-test process is initiated to perform a self-test on the smart glasses. After the self-test is passed, a registration request is sent to obtain registration information, which includes device identifier, IMSI information and the type of 5G network slice requested for access. Identity authentication is performed based on the registration information. If the identity authentication is successful, the IMSI information is parsed and device authentication analysis is performed. After successful device authentication, a session establishment request is initiated. Based on the user's subscribed IP address type and the current network resource status, an independent IP address is allocated to the smart glasses from the address pool.

[0007] Optionally, in the independent communication method for smart glasses based on RedCap and eSIM described in the embodiments of this application, when the user activates the target application, interaction data is collected and the interaction data is encrypted, specifically including: Collect interaction data, and send an encryption command when the interaction data is greater than or equal to the set cache threshold; The interactive data is classified and processed to analyze the data types of interactive data, which include voice data, video data and image data. Based on the interactive data type, a matching encryption method is generated according to the encryption instructions; Different types of interactive data are encrypted using different encryption methods to obtain encrypted data; All encrypted data is encapsulated to obtain a data packet.

[0008] Optionally, in the independent communication method for smart glasses based on RedCap and eSIM described in the embodiments of this application, the interaction data is processed based on a cloud AI platform to generate result data, specifically including: The cloud-based AI platform receives data packets and verifies them. If the verification fails, a retransmission request is sent to the smart glasses. If the verification is successful, the data packet is decrypted to obtain different types of interactive data; The voice data is denoised to obtain optimized voice data; The image data is processed by illumination equalization, distortion correction and resolution unification to obtain optimized image data; The video data is segmented into frames, key images of each frame are extracted, and timestamps are associated to obtain an ordered image sequence. The optimized voice data, optimized image data, and ordered image sequences with the same timestamp are correlated and fused to obtain the result data.

[0009] Optionally, in the independent communication method for smart glasses based on RedCap and eSIM described in the embodiments of this application, the result data is analyzed based on a speech recognition and machine translation model to obtain AR content or output text or speech results, specifically including: Speech data is extracted based on the result data, and the speech data is then subjected to echo cancellation and signal gain to obtain enhanced speech data. Based on the enhanced speech data, data feature vectors are extracted, and the data feature vectors are input into the speech recognition model for context-related decoding to obtain the decoded data; The decoded data is then subjected to syntax correction and typo correction to obtain the recognized data; Set user language preferences, and perform semantic depth analysis on the recognition data according to user language preferences based on the machine translation model to obtain semantic analysis results; Based on the semantic parsing results, convert them into AR content or output text or speech results.

[0010] Optionally, in the independent communication method for smart glasses based on RedCap and eSIM described in this application embodiment, the signal strength of the 5G core network is monitored in real time, the signal strength is compared with a set strength threshold, a comparison result is obtained, and the communication mode is dynamically switched based on the comparison result, specifically including: Obtain the signal strength of the 5G core network and compare the signal strength with a set strength threshold. If the signal strength is less than the set strength threshold, the dual-mode redundant communication mechanism is triggered, and the system automatically switches to Wi-Fi mode or Bluetooth mode. When the signal strength recovers to above the set strength threshold, it will automatically switch back to 5G communication mode.

[0011] Secondly, embodiments of this application provide an independent communication system for smart glasses based on RedCap and eSIM. This system includes a memory and a processor. The memory includes a program for an independent communication method for smart glasses based on RedCap and eSIM. When the program for the independent communication method for smart glasses based on RedCap and eSIM is executed by the processor, it implements the following steps: After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. Once user activation of the target application is detected, interaction data is collected and encrypted. The encrypted interactive data is transmitted to the cloud AI platform, which then processes the data to generate the final data. The results data are analyzed based on speech recognition and machine translation models to obtain AR content or output text or speech results; The signal strength of the 5G core network is monitored in real time, and the signal strength is compared with the set strength threshold to obtain the comparison result. Based on the comparison result, the communication mode is dynamically switched.

[0012] Optionally, in the independent communication system for smart glasses based on RedCap and eSIM described in this application embodiment, after the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses, specifically including: After the smart glasses are powered on, an initialization command is sent to initialize the smart glasses. After initialization, the self-test process is initiated to perform a self-test on the smart glasses. After the self-test is passed, a registration request is sent to obtain registration information, which includes device identifier, IMSI information and the type of 5G network slice requested for access. Identity authentication is performed based on the registration information. If the identity authentication is successful, the IMSI information is parsed and device authentication analysis is performed. After successful device authentication, a session establishment request is initiated. Based on the user's subscribed IP address type and the current network resource status, an independent IP address is allocated to the smart glasses from the address pool.

[0013] Optionally, in the independent communication system for smart glasses based on RedCap and eSIM described in this application embodiment, when the user activates the target application, interaction data is collected and encrypted, specifically including: Collect interaction data, and send an encryption command when the interaction data is greater than or equal to the set cache threshold; The interactive data is classified and processed to analyze the data types of interactive data, which include voice data, video data and image data. Based on the interactive data type, a matching encryption method is generated according to the encryption instructions; Different types of interactive data are encrypted using different encryption methods to obtain encrypted data; All encrypted data is encapsulated to obtain a data packet.

[0014] Thirdly, embodiments of this application also provide a computer-readable storage medium, which includes a program for an independent communication method for smart glasses based on RedCap and eSIM. When the program for the independent communication method for smart glasses based on RedCap and eSIM is executed by a processor, it implements the steps of the independent communication method for smart glasses based on RedCap and eSIM as described in any of the preceding claims.

[0015] As described above, the embodiments of this application provide a method, system, and medium for independent communication of smart glasses based on RedCap and eSIM. After the smart glasses are powered on, a registration request is initiated to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. When the user activates the target application, interactive data is collected and encrypted. The encrypted interactive data is transmitted to the cloud AI platform, which processes the interactive data to generate result data. The result data is analyzed based on speech recognition and machine translation models to obtain AR content or output text or speech results. The signal strength of the 5G core network is monitored in real time, and the signal strength is compared with a set strength threshold to obtain the comparison result. The communication mode is dynamically switched based on the comparison result. This application enables completely independent networking, eliminating dependence on smartphones and allowing smart glasses to be used as independent terminals with free movement and use. It supports real-time translation, AR navigation, remote collaboration, and cloud collaborative applications, improving user experience and scenario adaptability. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart illustrating an independent communication method for smart glasses based on RedCap and eSIM, provided for an embodiment of this application; Figure 2 A flowchart illustrating the process of allocating independent IP addresses for smart glasses using a RedCap and eSIM-based independent communication method provided in this application embodiment; Figure 3 This is a flowchart illustrating the interactive data encryption process of the independent communication method for smart glasses based on RedCap and eSIM, provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0019] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0020] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating an independent communication method for smart glasses based on RedCap and eSIM, as described in some embodiments of this application. This independent communication method for smart glasses based on RedCap and eSIM is used in a terminal device and includes the following steps: S101: After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. S102, When the user is detected to have activated the target application, collect the interaction data and encrypt the interaction data; S103, transmit the encrypted interactive data to the cloud AI platform, and process the interactive data based on the cloud AI platform to generate result data; S104, based on speech recognition and machine translation models, analyzes the result data to obtain AR content or output text or speech results; S105 monitors the signal strength of the 5G core network in real time, compares the signal strength with the set strength threshold, obtains the comparison result, and dynamically switches the communication mode based on the comparison result.

[0021] It should be noted that smart glasses can directly access 5G networks without relying on mobile phones or Wi-Fi hotspots, enabling low-latency, high-reliability, and wide-area coverage end-to-cloud collaboration with cloud AI platforms, thereby improving user experience and enriching application scenarios.

[0022] Specifically, after the smart glasses are powered on, they initiate a registration request to the 5G core network via eSIM; The core network completes identity authentication and authorization, and allocates IP addresses; The main control processor detects when the user activates AI applications (such as real-time translation and AR navigation). The audio and video data collected by the sensors are encrypted and uploaded to the cloud AI platform via the RedCap module; The cloud-based AI platform performs inference, generates result data, and sends it back with low latency. The display unit renders AR content or plays translated text in real time; The network quality monitoring module continuously assesses signal strength and switches to Wi-Fi or Bluetooth mode when necessary. Users interact with the system through voice or gesture commands, forming a closed loop between the end and the cloud.

[0023] Please refer to Figure 2 , Figure 2 According to an embodiment of the present application, a method for independent communication of smart glasses based on RedCap and eSIM is described. After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. Specifically, this includes: S201: After the smart glasses are powered on, an initialization command is sent to initialize the smart glasses. After initialization, the self-test process is entered to perform a self-test on the smart glasses. S202. After the self-test passes, a registration request is sent to obtain registration information, which includes the device identifier, IMSI information and the type of 5G network slice requested for access. S203: Based on the registration information, perform identity authentication. If the identity authentication is successful, parse the IMSI information and perform device authentication analysis. S204 After successful device authentication, a session establishment request is initiated. Based on the user's subscribed IP address type and the current network resource status, an independent IP address is allocated to the smart glasses from the address pool.

[0024] Please refer to Figure 3 , Figure 3 This is a flowchart illustrating the interactive data encryption process of an independent communication method for smart glasses based on RedCap and eSIM, as described in some embodiments of this application. According to an embodiment of the present invention, when user activation of a target application is detected, interactive data is collected and encrypted, specifically including: S301: Collects interactive data; when the interactive data is greater than or equal to the set cache threshold, sends an encryption command. S302, classify and process the interactive data, and analyze the interactive data types, including voice data, video data and image data; S303, Based on the interactive data type, generate a matching encryption method according to the encryption instruction; S304, encrypt different types of interactive data based on different encryption methods to obtain encrypted data; S305 encapsulates all encrypted data to obtain a data packet.

[0025] It should be noted that when the data in the buffer reaches the threshold, the main control processor sends an encryption command to the RedCap module through the security bus. The command carries metadata such as data type and length, and at the same time locks the buffer to prevent data tampering.

[0026] Key Acquisition: The RedCap module initiates a session key request to the 5G core network KMS (Key Management Function) network element through the hardware-encrypted link of the eSIM chip. This key is associated with the authentication key in the S1 registration process, is dynamically generated by KMS, has a validity period of 30 minutes and is updated periodically, avoiding the security risk of using the same key for a long time.

[0027] Key storage: The session key is stored directly in the RedCap module’s dedicated encryption chip. This chip is designed with hardware isolation and does not expose any external interface to prevent unauthorized key reading.

[0028] According to an embodiment of the present invention, data processing of interactive data based on a cloud-based AI platform to generate result data specifically includes: The cloud-based AI platform receives data packets and verifies them. If the verification fails, a retransmission request is sent to the smart glasses. If the verification is successful, the data packet is decrypted to obtain different types of interactive data; The voice data is denoised to obtain optimized voice data; The image data is processed by illumination equalization, distortion correction and resolution unification to obtain optimized image data; The video data is segmented into frames, key images of each frame are extracted, and timestamps are associated to obtain an ordered image sequence. The optimized voice data, optimized image data, and ordered image sequences with the same timestamp are correlated and fused to obtain the result data.

[0029] It should be noted that the cloud-based AI platform includes an AI inference engine, an AR content server, and a user account system, used to perform tasks such as speech recognition, image understanding, real-time translation, and AR rendering.

[0030] According to embodiments of the present invention, the result data is analyzed based on a speech recognition and machine translation model to obtain AR content or output text or speech results, specifically including: Speech data is extracted based on the result data, and the speech data is then subjected to echo cancellation and signal gain to obtain enhanced speech data. Based on the enhanced speech data, data feature vectors are extracted, and the data feature vectors are input into the speech recognition model for context-related decoding to obtain the decoded data; The decoded data is then subjected to syntax correction and typo correction to obtain the recognized data; Set user language preferences, and perform semantic depth analysis on the recognition data according to user language preferences based on the machine translation model to obtain semantic analysis results; Based on the semantic parsing results, convert them into AR content or output text or speech results.

[0031] According to an embodiment of the present invention, the signal strength of the 5G core network is monitored in real time, the signal strength is compared with a set strength threshold, a comparison result is obtained, and the communication mode is dynamically switched based on the comparison result. Specifically, this includes: Obtain the signal strength of the 5G core network and compare the signal strength with a set strength threshold. If the signal strength is less than the set strength threshold, the dual-mode redundant communication mechanism is triggered, and the system automatically switches to Wi-Fi mode or Bluetooth mode. When the signal strength recovers to above the set strength threshold, it will automatically switch back to 5G communication mode.

[0032] According to an embodiment of the present invention, a user wears smart glasses with a built-in eSIM to register for a 5G network. When the user activates the "real-time translation" function, the glasses' camera and microphone capture ambient audio and video, which are then uploaded to a cloud-based AI platform via the RedCap module. The platform uses speech recognition and machine translation models to generate subtitles in the target language and transmits them back to the glasses' display unit via a low-latency channel. The entire process requires no mobile phone intervention, with latency controlled within 150ms, enabling natural and fluent cross-language communication.

[0033] In industrial inspection scenarios, maintenance personnel transmit first-person perspective images to a remote expert system in real time through glasses. Experts can overlay AR guidance arrows or operation steps, projecting them directly into the maintenance personnel's field of vision, improving work efficiency and safety.

[0034] Secondly, embodiments of this application provide an independent communication system for smart glasses based on RedCap and eSIM. This system includes a memory and a processor. The memory includes a program for an independent communication method for smart glasses based on RedCap and eSIM. When the program for the independent communication method for smart glasses based on RedCap and eSIM is executed by the processor, it implements the following steps: After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. Once user activation of the target application is detected, interaction data is collected and encrypted. The encrypted interactive data is transmitted to the cloud AI platform, which then processes the data to generate the final data. The results data are analyzed based on speech recognition and machine translation models to obtain AR content or output text or speech results; The signal strength of the 5G core network is monitored in real time, and the signal strength is compared with the set strength threshold to obtain the comparison result. Based on the comparison result, the communication mode is dynamically switched.

[0035] It should be noted that the smart glasses body, which integrates the RedCap 5G communication module, embedded eSIM chip, main control processor, sensor unit and display unit, accesses the 5G standalone network core network through eSIM and establishes a direct communication link with the cloud AI platform, realizing independent networking and end-to-cloud collaboration without the mobile terminal.

[0036] The smart glasses themselves integrate: The RedCap 5G communication module supports the 3GPP R17 RedCap protocol, operates in frequency bands covering n1 / n3 / n5 / n8 / n28 / n41 / n77 / n78, supports 1T1R antenna configuration, and has a peak rate of no less than 150Mbps (downlink). Embedded eSIM chip, pre-configured with operator remote configuration protocol, supports OTA (Over-The-Air) activation or switching of operator services; The main control processor is used to run the operating system, AR engine, and applications; The sensor unit includes a camera, a microphone, and an inertial measurement unit (IMU). The display unit uses Micro-OLED or waveguide display technology; The power management unit supports dynamic power consumption adjustment; Storage units are used to cache data and run AI models.

[0037] The 5G standalone (SA) core network is used to handle access authentication and data routing for RedCap terminals.

[0038] Cloud-based AI platforms, including: AI inference engine, used to perform tasks such as speech recognition, image understanding, and real-time translation; An AR content server that provides dynamic AR layers and navigation data; The user account system manages eSIM configurations and user preferences.

[0039] The system supports the following communication modes: Standalone 5G connectivity mode: Directly access the 5G SA network via RedCap module and eSIM, and establish a secure IPSec or TLS tunnel with the cloud AI platform; Dual-mode redundancy mode: When the 5G signal is weak, it automatically switches to Wi-Fi 6 or Bluetooth 5.3 to achieve seamless roaming.

[0040] Specifically, the RedCap communication module uses either the Qualcomm Snapdragon X35 or MediaTek MT6833 chip; The eSIM chip complies with the GSMA SGP.22 specification and supports multi-carrier profile management. The system supports VoLTE high-definition voice calls, enabling independent communication functionality; The power management unit dynamically enables RedCap's eDRX (Extended Discontinuous Receive) or PSM (Power Saving Mode) based on network status and application load to extend battery life.

[0041] By integrating the RedCap 5G communication module and eSIM chip into smart glasses, they can directly access 5G standalone networks and engage in low-latency, highly reliable data interaction with cloud-based AI platforms, without relying on smartphones or Wi-Fi hotspots. According to an embodiment of the present invention, after the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses, specifically including: After the smart glasses are powered on, an initialization command is sent to initialize the smart glasses. After initialization, the self-test process is initiated to perform a self-test on the smart glasses. After the self-test is passed, a registration request is sent and registration information is obtained, including device identifier, IMSI information and the type of 5G network slice requested for access. Identity authentication is performed based on the registration information. If the identity authentication is successful, the IMSI information is parsed and device authentication analysis is performed. After successful device authentication, a session establishment request is initiated. Based on the user's subscribed IP address type and the current network resource status, an independent IP address is allocated to the smart glasses from the address pool.

[0042] According to an embodiment of the present invention, when user activation of a target application is detected, interaction data is collected and the interaction data is encrypted, specifically including: Collect interaction data, and send an encryption command when the interaction data is greater than or equal to the set cache threshold; The interactive data is categorized and analyzed, including voice data, video data, and image data. Based on the interactive data type, a matching encryption method is generated according to the encryption instructions; Different types of interactive data are encrypted using different encryption methods to obtain encrypted data; All encrypted data is encapsulated to obtain a data packet.

[0043] A third aspect of the present invention provides a computer-readable storage medium including a program for an independent communication method for smart glasses based on RedCap and eSIM. When the program for the independent communication method for smart glasses based on RedCap and eSIM is executed by a processor, it implements the steps of the independent communication method for smart glasses based on RedCap and eSIM as described in any of the above claims.

[0044] This invention discloses a method, system, and medium for independent communication of smart glasses based on RedCap and eSIM. After the smart glasses are powered on, a registration request is initiated to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. When the user activates a target application, interactive data is collected and encrypted. The encrypted interactive data is transmitted to a cloud AI platform, which processes the interactive data to generate result data. The result data is analyzed based on speech recognition and machine translation models to obtain AR content or output text or speech results. The signal strength of the 5G core network is monitored in real time, and the signal strength is compared with a set strength threshold to obtain the comparison result. The communication mode is dynamically switched based on the comparison result. This application enables completely independent networking, eliminating dependence on smartphones and allowing smart glasses to be used as independent terminals with free movement and use. It supports real-time translation, AR navigation, remote collaboration, and cloud collaborative applications, improving user experience and scenario adaptability.

[0045] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0046] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0047] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0048] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0049] Alternatively, if the integrated units of the present invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for independent communication of smart glasses based on RedCap and eSIM, characterized in that, include: After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. Once user activation of the target application is detected, interaction data is collected and encrypted. The encrypted interactive data is transmitted to the cloud AI platform, which then processes the data to generate the final data. The results data are analyzed based on speech recognition and machine translation models to obtain AR content or output text or speech results; The signal strength of the 5G core network is monitored in real time, and the signal strength is compared with the set strength threshold to obtain the comparison result. Based on the comparison result, the communication mode is dynamically switched.

2. The independent communication method for smart glasses based on RedCap and eSIM according to claim 1, characterized in that, After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses, which includes: After the smart glasses are powered on, an initialization command is sent to initialize the smart glasses. After initialization, the self-test process is initiated to perform a self-test on the smart glasses. After the self-test is passed, a registration request is sent to obtain registration information, which includes device identifier, IMSI information and the type of 5G network slice requested for access. Identity authentication is performed based on the registration information. If the identity authentication is successful, the IMSI information is parsed and device authentication analysis is performed. After successful device authentication, a session establishment request is initiated. Based on the user's subscribed IP address type and the current network resource status, an independent IP address is allocated to the smart glasses from the address pool.

3. The independent communication method for smart glasses based on RedCap and eSIM according to claim 2, characterized in that, Once user activation of the target application is detected, interaction data is collected and encrypted, specifically including: Collect interaction data, and send an encryption command when the interaction data is greater than or equal to the set cache threshold; The interactive data is classified and processed to analyze the data types of interactive data, which include voice data, video data and image data. Based on the interactive data type, a matching encryption method is generated according to the encryption instructions; Different types of interactive data are encrypted using different encryption methods to obtain encrypted data; All encrypted data is encapsulated to obtain a data packet.

4. The independent communication method for smart glasses based on RedCap and eSIM according to claim 3, characterized in that, The interactive data is processed using a cloud-based AI platform to generate result data, specifically including: The cloud-based AI platform receives data packets and verifies them. If the verification fails, a retransmission request is sent to the smart glasses. If the verification is successful, the data packet is decrypted to obtain different types of interactive data; The voice data is denoised to obtain optimized voice data; The image data is processed by illumination equalization, distortion correction and resolution unification to obtain optimized image data; The video data is segmented into frames, key images of each frame are extracted, and timestamps are associated to obtain an ordered image sequence. The optimized voice data, optimized image data, and ordered image sequences with the same timestamp are correlated and fused to obtain the result data.

5. The independent communication method for smart glasses based on RedCap and eSIM according to claim 4, characterized in that, The results data are analyzed based on speech recognition and machine translation models to obtain AR content or output text or speech results, specifically including: Speech data is extracted based on the result data, and the speech data is then subjected to echo cancellation and signal gain to obtain enhanced speech data. Based on the enhanced speech data, data feature vectors are extracted, and the data feature vectors are input into the speech recognition model for context-related decoding to obtain the decoded data; The decoded data is then subjected to syntax correction and typo correction to obtain the recognized data; Set user language preferences, and perform semantic depth analysis on the recognition data according to user language preferences based on the machine translation model to obtain semantic analysis results; Based on the semantic parsing results, convert them into AR content or output text or speech results.

6. The independent communication method for smart glasses based on RedCap and eSIM according to claim 5, characterized in that, Real-time monitoring of the 5G core network signal strength, comparison of the signal strength with a set strength threshold, obtaining the comparison result, and dynamically switching the communication mode based on the comparison result, specifically including: Obtain the signal strength of the 5G core network and compare the signal strength with a set strength threshold. If the signal strength is less than the set strength threshold, the dual-mode redundant communication mechanism is triggered, and the system automatically switches to Wi-Fi mode or Bluetooth mode. When the signal strength recovers to above the set strength threshold, it will automatically switch back to 5G communication mode.

7. A smart glasses independent communication system based on RedCap and eSIM, characterized in that, The system includes a memory and a processor. The memory contains a program for an independent communication method for smart glasses based on RedCap and eSIM. When the program for the independent communication method for smart glasses based on RedCap and eSIM is executed by the processor, it performs the following steps: After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses. Once user activation of the target application is detected, interaction data is collected and encrypted. The encrypted interactive data is transmitted to the cloud AI platform, which then processes the data to generate the final data. The results data are analyzed based on speech recognition and machine translation models to obtain AR content or output text or speech results; The signal strength of the 5G core network is monitored in real time, and the signal strength is compared with the set strength threshold to obtain the comparison result. Based on the comparison result, the communication mode is dynamically switched.

8. The independent communication system for smart glasses based on RedCap and eSIM according to claim 7, characterized in that, After the smart glasses are powered on, they initiate a registration request to the 5G core network based on the embedded eSIM chip. After the core network completes identity authentication and authorization, it assigns an independent IP address to the smart glasses, which includes: After the smart glasses are powered on, an initialization command is sent to initialize the smart glasses. After initialization, the self-test process is initiated to perform a self-test on the smart glasses. After the self-test is passed, a registration request is sent to obtain registration information, which includes device identifier, IMSI information and the type of 5G network slice requested for access. Identity authentication is performed based on the registration information. If the identity authentication is successful, the IMSI information is parsed and device authentication analysis is performed. After successful device authentication, a session establishment request is initiated. Based on the user's subscribed IP address type and the current network resource status, an independent IP address is allocated to the smart glasses from the address pool.

9. The independent communication system for smart glasses based on RedCap and eSIM according to claim 8, characterized in that, Once user activation of the target application is detected, interaction data is collected and encrypted, specifically including: Collect interaction data, and send an encryption command when the interaction data is greater than or equal to the set cache threshold; The interactive data is classified and processed to analyze the data types of interactive data, which include voice data, video data and image data. Based on the interactive data type, a matching encryption method is generated according to the encryption instructions; Different types of interactive data are encrypted using different encryption methods to obtain encrypted data; All encrypted data is encapsulated to obtain a data packet.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a program for an independent communication method for smart glasses based on RedCap and eSIM. When the program for the independent communication method for smart glasses based on RedCap and eSIM is executed by a processor, it implements the steps of the independent communication method for smart glasses based on RedCap and eSIM as described in any one of claims 1 to 6.

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