Artificial intelligent work card and system thereof

Abstract

The invention relates to the technical field of intelligent work cards, and discloses an artificial intelligence intelligent work card and a system thereof.The artificial intelligence intelligent work card comprises a shell, a switch module is arranged on the outer wall of the shell, a radio microphone is arranged on the outer wall of the shell, a loudspeaker module is arranged on the outer wall of the shell, and an earphone port module is arranged on the outer side of the shell in a penetrating mode; a TF module is arranged on one side of the shell in a penetrating mode, an S IM module is arranged on one side of the shell in a penetrating mode, a Type-C module is arranged on the other side of the shell in a penetrating mode, a Bluetooth module is fixed in the shell, a battery module is fixed in the shell, the battery module is connected with the Type-C module, and a CPU module is fixed in the shell. Through cooperation of the GPU computing unit and the CPU processing module, the equipment can independently run an artificial intelligence reasoning task in an offline environment, and the computing power of an equipment end is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent work badges, and specifically to an artificial intelligence intelligent work badge and its system. Background Art

[0002] As an intelligent device integrating functions of identity recognition, information storage, and interaction, intelligent work badges have been widely used in scenarios such as enterprise management, security systems, and intelligent office in recent years. Traditional intelligent work badges mainly rely on technologies such as RFID, NFC, or two-dimensional codes to achieve identity verification and permission management, but their functions are relatively single and their interaction capabilities are limited. With the development of artificial intelligence technology, some new types of intelligent work badges have begun to integrate voice assistants, intelligent perception, and data analysis functions, enabling them to perform more complex tasks.

[0003] Most current mainstream intelligent work badges heavily rely on cloud computing resources, and the computing power of the device itself is weak. All voice recognition, semantic understanding, and information processing tasks basically need to be transmitted over the network to the cloud server for processing. Although this method can achieve high-precision voice interaction by leveraging the powerful computing power of the cloud, once the device is in a network-free or weak-signal environment, such as an underground garage, a factory workshop far from the signal coverage area, or a complex outdoor environment, the core functions of the intelligent work badge will be difficult to use. The existing devices have extremely limited support for offline operation, and this dependence on the network environment greatly restricts their application scenarios.

[0004] Most intelligent work badges will collect user voice, location information, and behavior data during use and upload them to the cloud for processing and storage. However, cloud data transmission may face risks of interception, tampering, or leakage. Especially when it comes to enterprise secrets or personal privacy information, users often have concerns about its security. Some industries such as healthcare and finance have relatively high requirements for data compliance, and the cloud storage method is difficult to meet the security standards of these fields. Once the cloud server is attacked or fails, the data stored in the cloud may be lost or inaccessible, bringing unforeseen losses to users. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an artificial intelligence intelligent work badge and its system, which solves the problem that the core functions of the intelligent work badge are difficult to use when the device is in a network-free or weak-signal environment.

[0006] To achieve the above object, the present invention is realized by the following technical solutions: An artificial intelligence intelligent work badge, comprising: a housing, on the outer wall of the housing is provided a switch module, on the outer wall of the housing is provided a sound collection microphone, on the outer wall of the housing is provided a speaker module, on the outside of the housing is penetrated with a headphone jack module, on one side of the housing is penetrated with a TF module, on one side of the housing is penetrated with a SIM module, on the other side of the housing is penetrated with a Type-C module, inside the housing is fixed a Bluetooth module, inside the housing is fixed a battery module, the battery module is connected to the Type-C module, inside the housing is fixed a CPU module, inside the housing is fixed a GPU module, the GPU module is connected to the CPU module, inside the housing is fixed a high-speed storage module, and the high-speed storage module is connected to the GPU module.

[0007] Preferably, the switch module is used to control the startup and shutdown of the device; the Type-C module supports charging and data transmission, and can be connected to a computer for system maintenance and algorithm deployment; the Bluetooth module is used for two-way communication with a Bluetooth headset; the speaker module is used for voice output when the Bluetooth headset is not connected, and the sound volume can be controlled by voice; the battery module is used to provide portable power support for the device; the headphone jack module is used to connect a headphone for audio transmission.

[0008] Preferably, the GPU module is used to infer artificial intelligence models, including the inference of TTS, ASR, and LLM models; the CPU module is used to run the built-in Linux system and support the execution of related programs; the SIM module is used to insert a triple-network SIM card and support Internet data access; the TF module is used to insert a TF flash card to store system data and model parameters; the sound collection microphone is used to collect ambient sound and voice data; the high-speed storage module is used to store related service programs and data during the operation of the Linux system.

[0009] Preferably, the device can work in an offline mode. In this mode, the device processes the audio data collected by the sound collection microphone and uses the built-in model for data inference and generating responses. The device can also work in an online mode. The device is connected to the cloud through the SIM module and preferentially uses the cloud model to process data and generate responses. The TF module of the device is used to permanently store the data during the operation of the device.

[0010] An artificial intelligence intelligent work badge system, the system comprising:

[0011] A remote server, used to provide cloud model support and data processing capabilities. The server is connected to the device through the SIM module, and the device can select to work in an online mode or an offline mode according to the network status;

[0012] An intelligent control unit for managing the operation and configuration update of the device. The intelligent control unit receives and executes operations through voice commands, including storage capacity, power check, and service mode switching;

[0013] The device can prompt the user with voice about the current storage status, battery power, and network connection status;

[0014] The device can perform data inference and generate responses through a built-in model in offline mode, and preferentially use the cloud model to process data when connected to the network.

[0015] Preferably, the model provided by the intelligent control unit includes voice recognition, speech synthesis, and natural language processing capabilities;

[0016] The device stores all data in a TF card in offline mode. When the TF card is full or actively exported, the device is connected to a computer through a Type-C interface for data export.

[0017] Preferably, the device supports two-way data exchange with external devices through a Bluetooth module, facilitating remote control and data sharing between the user and the device.

[0018] Preferably, the device supports voice prompt functions, including the following situations: insufficient battery power, unstable device network, and insufficient device storage space.

[0019] Preferably, the device can update the configuration by executing operations such as viewing the remaining storage capacity, viewing the remaining storage capacity, viewing the remaining storage capacity, viewing the remaining storage capacity, switching between work and chat modes through voice commands.

[0020] Preferably, the device supports executing the following operations through voice commands:

[0021] View the remaining storage capacity;

[0022] View the remaining battery power;

[0023] View the current service mode;

[0024] Switch the service mode;

[0025] Switch between work mode and chat mode.

[0026] The present invention provides an artificial intelligence intelligent work card and its system. It has the following beneficial effects:

[0027] 1. Through the collaborative cooperation of the GPU computing unit and the CPU processing module, the present invention enables the device to independently run artificial intelligence inference tasks in an offline environment, optimizing the computing power of the device end and enabling it to locally run core models for speech recognition, natural language processing, and speech synthesis, thus avoiding functional limitations caused by poor network environments.

[0028] 2. By combining the local storage module with the security management mechanism, the present invention significantly enhances the data security and privacy protection capabilities. Traditional intelligent voice interaction devices rely on the cloud for data processing, and user data needs to be uploaded to remote servers, posing security risks such as data leakage, abuse, and cyberattacks. The present invention adopts a high-speed storage module and an expandable TF storage unit, enabling the device to locally store user data without relying on cloud transmission and storage, thereby effectively reducing the risk of data leakage.

[0029] 3. Through the intelligent switching mechanism between local computing and cloud computing, the present invention ensures that the device can still operate normally when cloud services are unavailable. Voice interaction devices in the prior art usually rely heavily on the cloud. Once the cloud server fails or the network connection is unstable, the device cannot provide normal services, seriously affecting the user experience. By locally pre-installing speech recognition and text processing, the present invention enables the device to continue providing basic services when the cloud is unavailable, ensuring the availability of core functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a perspective view of the present invention;

[0031] Figure 2 is a schematic structural diagram of the housing part of the present invention;

[0032] Figure 3 is a schematic structural diagram of the interior of the housing of the present invention;

[0033] Figure 4 is a system framework diagram of the present invention.

[0034] Among them, 1. Housing; 2. Switch module; 3. Microphone; 4. Speaker module; 5. Headphone jack module; 6. TF module; 7. SIM module; 8. Type-C module; 9. CPU module; 10. Bluetooth module; 11. Battery module; 12. GPU module; 13. High-speed storage module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0036] Please refer to the attached Figure 1 - attached Figure 3 , the embodiments of the present invention provide an artificial intelligence smart work card, including: a housing 1, a switch module 2 is arranged on the outer wall of the housing 1, a sound collection microphone 3 is arranged on the outer wall of the housing 1, a speaker module 4 is arranged on the outer wall of the housing 1, a headphone jack module 5 is penetrated through the outside of the housing 1, a TF module 6 is penetrated through one side of the housing 1, a SIM module 7 is penetrated through one side of the housing 1, a Type-C module 8 is penetrated through the other side of the housing 1, a Bluetooth module 10 is fixed inside the housing 1, a battery module 11 is fixed inside the housing 1, the battery module 11 is connected to the Type-C module 8, a CPU module 9 is fixed inside the housing 1, a GPU module 12 is fixed inside the housing 1, the GPU module 12 is connected to the CPU module 9, a high-speed storage module 13 is fixed inside the housing 1, the high-speed storage module 13 is connected to the GPU module 12, the switch module 2 is used to control the startup and shutdown of the device, the Type-C module 8 supports charging and data transmission, and can be connected to a computer for system maintenance and algorithm deployment, the Bluetooth module 10 is used for two-way communication with a Bluetooth headset, the speaker module 4 is used for voice output when no Bluetooth headset is connected, and the sound volume can be controlled by voice, the battery module 11 is used to provide portable power support for the device, the headphone jack module 5 is used to connect a headphone for audio transmission, the GPU module 12 is used to infer artificial intelligence models, including the inference of TTS, ASR, and LLM models, the CPU module 9 is used to run the built-in Linux system and support the execution of related programs, the SIM module 7 is used to insert a triple-network SIM card and support Internet data access, the TF module 6 is used to insert a TF flash card to store system data and model parameters, the sound collection microphone 3 is used to collect ambient sound and voice data, the high-speed storage module 13 is used to store related service programs and data during the operation of the Linux system, the device can work in an offline mode, in this mode, the device processes the audio data collected by the sound collection microphone 3 and uses the built-in model for data inference and generating responses, the device can work in an online mode, the device is connected to the cloud through the SIM module 7, and preferentially uses the cloud model to process data and generate responses, the TF module 6 of the device is used to permanently store the data during the operation of the device.

[0037] Specifically, when the device is in the offline mode, the microphone 3 is responsible for collecting ambient sound and voice data, and performing tasks such as speech recognition, natural language processing, and speech synthesis through the built-in artificial intelligence inference model. The GPU module 12 and the CPU module 9 jointly execute data processing tasks, enabling the device to provide an efficient voice interaction experience without a network connection. The TF module 6 of the device stores model parameters and operation data, ensuring that the device can continue to operate and data will not be lost in the offline mode. Meanwhile, in the online mode, the SIM module 7 provides the device with powerful remote data processing capabilities by accessing the cloud, enabling the device to preferentially call the cloud model for complex data processing and inference, further enhancing the functionality and response speed of the device. The device can control the speaker module 4 to output sound through voice commands, and the volume of the sound can be adjusted according to user needs. If the user uses headphones, the headphone jack module 5 transmits the audio to the headphones. The Bluetooth module 10 enables the device to communicate bidirectionally with Bluetooth headphones, achieving more flexible and efficient user interaction. The device supports charging and data transmission through the Type-C module 8, and performs system maintenance and algorithm deployment with a computer through this interface, ensuring that the device can be updated and upgraded according to requirements.

[0038] Please refer to the attached Figure 1 - attached Figure 4 , the embodiment of the present invention provides an artificial intelligence intelligent work card system, and the system includes:

[0039] A remote server for providing cloud model support and data processing capabilities. The server is connected to the device through the SIM module 7, and the device can select the online mode or the offline mode to work according to the network status;

[0040] An intelligent control unit for managing the operation and configuration update of the device. The intelligent control unit receives and executes operations through voice commands, including storage capacity, power check, and service mode switching;

[0041] The device can prompt the user of the current storage status, battery power, and network connection status through voice;

[0042] The device can perform data inference and generate responses through the built-in model in the offline mode, and preferentially use the cloud model to process data when connected to the network.

[0043] The models provided by the intelligent control unit include speech recognition, speech synthesis, and natural language processing capabilities;

[0044] When the device is in the offline mode, all data is stored in the TF card. When the TF card is full or actively exported, the device is connected to a computer through the Type-C interface for data export.

[0045] The device supports two-way data exchange with external devices through the Bluetooth module 10, facilitating remote control and data sharing between the user and the device.

[0046] The device supports voice prompt functions, including the following situations: insufficient battery power, unstable device network, and insufficient device storage space.

[0047] The device can update the configuration by performing operations such as viewing the remaining storage capacity, viewing the remaining storage capacity, viewing the remaining storage capacity, viewing the remaining storage capacity, and switching between the working and chatting modes through voice commands.

[0048] The device supports performing the following operations through voice commands:

[0049] View the remaining storage capacity;

[0050] View the remaining battery power;

[0051] View the current service mode;

[0052] Switch the service mode;

[0053] Switch between the working mode and the chatting mode.

[0054] Specifically, the seamless switching between the offline mode and the online mode ensures that the device can operate stably in various network environments, avoiding function limitations caused by network problems. Secondly, the built-in voice recognition, voice synthesis, and natural language processing capabilities enable the device to respond to user needs more intelligently and provide a more user-friendly interaction experience. When the device has no power or insufficient power, it will analyze and give a voice prompt (Insufficient power, please charge). When the device network is unstable, it will analyze and give a voice prompt (The current network is unstable and has automatically switched to the local mode). When the device storage is about to be full, it will analyze and give a voice prompt (Insufficient storage space, please replace the memory card or delete data). Through voice commands, users can conveniently view information such as the remaining storage capacity, the remaining battery power, and the current service mode, greatly improving the operation convenience of the device. In addition, the device supports two-way data exchange with external devices through the Bluetooth module 10, enabling the device to perform remote control and data sharing with other smart devices, expanding the application scenarios of the device. In terms of data storage, the TF module 6 ensures that the device can store and manage data for a long time, and when the storage space is full, users can easily export and back up data through voice prompts and the Type-C interface to ensure the security and integrity of the data. Generally speaking, the system of the present invention provides users with a more intelligent, convenient, and secure usage experience, and can efficiently meet various work requirements. Especially in the case of unstable or no network environment, the device can still maintain efficient operation. The device can update the configuration through voice operations:

[0055] To check the remaining storage capacity, say (How much storage capacity is left);

[0056] To check the remaining battery capacity, say (How much battery power is left);

[0057] To check the service mode, say (What is the current service mode);

[0058] To change the service mode, say (Change to local networking mode);

[0059] To switch between work and chat mode, say (Switch to assistant chat mode).

[0060] Working principle: The switch module 2 is used to control the startup and shutdown of the device. When the user presses the switch, the device starts and is ready to run. The microphone 3 continuously collects the surrounding environmental sounds and voice data, which are processed by the built-in artificial intelligence inference model to convert the voice signals into text information or instructions. The processed information is output as voice feedback through the speaker module 4, allowing the user to hear the voice response of the device. The volume can also be adjusted by voice control. If the user needs a more private audio experience, the headphone jack module 5 can be used to connect headphones for audio transmission. The TF module 6 has a built-in flash card for storing system data and artificial intelligence model parameters for reading and execution during device operation. The SIM module 7 is responsible for connecting to the Internet to ensure that the device can perform remote data processing and updates. The Type-C module 8 supports device charging and data transmission, and can also be used to connect to a computer for system maintenance and algorithm deployment. The CPU module 9 inside the device runs the Linux operating system, coordinates the work of each module, and manages the execution of device tasks. The GPU module 12 is specifically used to infer artificial intelligence models and process complex tasks such as automatic speech recognition (ASR), text-to-speech (TTS), and large language models (LLMs). The high-speed storage module 13 provides efficient data storage support for the GPU module 12 to ensure that the required data can be quickly accessed and processed during artificial intelligence inference. The battery module 11 provides power support for the entire device, enabling the work badge to work for a long time without an external power source and ensuring that the device can still operate when the user does not charge. The Bluetooth module 10 enables the device to communicate bidirectionally with Bluetooth headphones, enhancing the user's convenience and expandability. The working mode of the device can be switched according to the network status. In the offline mode, the device uses the built-in model and locally stored data for inference and generates responses; in the online mode, the device connects to the cloud through the SIM module 7, preferentially uses the cloud model for more complex data processing, and stores the data generated during operation through the TF module 6. The intelligent control unit manages the device configuration according to voice commands, such as checking the storage capacity, battery level, and switching the service mode.

[0061] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Artificial intelligence intelligent work ID card, characterized in that, Comprising: A housing (1), on the outer wall of which there is a switch module (2), a radio microphone (3), a speaker module (4), a headphone jack module (5) is passed through the outside of the housing (1), a TF module (6) is passed through one side of the housing (1), a SIM module (7) is passed through one side of the housing (1), a Type-C module (8) is passed through the other side of the housing (1), a Bluetooth module (10) is fixed inside the housing (1), a battery module (11) is fixed inside the housing (1), the battery module (11) is connected to the Type-C module (8), a CPU module (9) is fixed inside the housing (1), a GPU module (12) is fixed inside the housing (1), the GPU module (12) is connected to the CPU module (9), a high-speed storage module (13) is fixed inside the housing (1), and the high-speed storage module (13) is connected to the GPU module (12).

2. The artificial intelligence intelligent work permit according to claim 1, wherein The switch module (2) is used to control the startup and shutdown of the device. The Type-C module (8) supports charging and data transmission and can be connected to a computer for system maintenance and algorithm deployment. The Bluetooth module (10) is used for two-way communication with a Bluetooth headset. The speaker module (4) is used for voice output when no Bluetooth headset is connected, and the sound volume can be controlled by voice. The battery module (11) is used to provide portable power support for the device. The headphone jack module (5) is used to connect a headphone for audio transmission.

3. The artificial intelligence intelligent work card according to claim 1, characterized in that, The GPU module (12) is used to infer artificial intelligence models, including the inference of TTS, ASR, and LLM models. The CPU module (9) is used to run the built-in Linux system and support the execution of related programs. The SIM module (7) is used to insert a triple-network SIM card and support Internet data access. The TF module (6) is used to insert a TF flash card to store system data and model parameters. The radio microphone (3) is used to collect ambient sound and voice data. The high-speed storage module (13) is used to store related service programs and data during the operation of the Linux system.

4. The artificial intelligence intelligent work card according to claim 1, characterized in that, The device can work in an offline mode. In this mode, the device processes the audio data collected by the radio microphone (3) and uses the built-in model for data inference and generating responses. The device can work in an online mode. The device is connected to the cloud through the SIM module (7) and preferentially uses the cloud model to process data and generate responses. The TF module (6) of the device is used to permanently store the data during the operation of the device.

5. An artificial intelligence intelligent work card system, applied to the artificial intelligence intelligent work card described in claims 1-4, characterized in that, The system includes: A remote server, which is used to provide cloud model support and data processing capabilities. The server is connected to the device through the SIM module (7), and the device can select to work in an online mode or an offline mode according to the network status. An intelligent control unit, which is used to manage the operation and configuration update of the device. The intelligent control unit receives and executes operations through voice commands, including storage capacity, power check, and service mode switching. The device can prompt the user with voice about the current storage status, battery level, and network connection status; The device can perform data inference and generate responses through a built-in model in the offline mode. When connected to the network, it preferentially uses the cloud model to process data.

6. The artificial intelligence intelligent work permit system according to claim 5, characterized in that, The models provided by the intelligent control unit include speech recognition, speech synthesis, and natural language processing capabilities; The device stores all data in the TF card in the offline mode. When the TF card is full or actively exported, the device is connected to a computer through the Type-C interface for data export.

7. An artificial intelligence intelligent work ID system according to claim 5, characterized in that, The device supports two-way data exchange with external devices through the Bluetooth module (10), facilitating remote control and data sharing between the user and the device.

8. An artificial intelligence intelligent work ID system according to claim 5, characterized in that, The device supports voice prompt functions for the following situations: insufficient battery power, unstable device network, and insufficient device storage space.

9. An artificial intelligence intelligent work permit system according to claim 5, characterized in that, The device can update the configuration by performing operations such as viewing the remaining storage capacity, viewing the remaining storage capacity, viewing the remaining storage capacity, viewing the remaining storage capacity, switching between the working and chatting modes through voice commands.

10. An artificial intelligence intelligent work permit system according to claim 5, characterized in that, The device supports performing the following operations through voice commands: View the remaining storage capacity; View the remaining battery level; View the current service mode; Switch the service mode; Switch between the working mode and the chatting mode.

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