Display intelligent helmet based on AR function

Abstract

The invention relates to the technical field of intelligent helmets, and discloses a display intelligent helmet system based on an AR function, and the system comprises a display module which is used for displaying an image in a display area; the intelligent navigation module is used for providing navigation information self-adaptive to road conditions; the AI interaction module is used for realizing a voice operation function; the camera module is used for shooting images; and the power supply and data transmission module is used for supplying power to each module and realizing data interaction. By adopting a Micro-oled light source and an optical waveguide lens technology, the display module disclosed by the invention realizes brightness as high as 15000 nit and actually measured brightness not lower than 5000 nit, the monocular resolution reaches 720 p, the light transmittance is not lower than 83%, the pixel refresh rate is automatically adjusted according to the dynamic degree of display content through a dynamic pixel refresh rate adjusting technology, the energy consumption is reduced, and the display efficiency is improved. And meanwhile, the definition and smoothness of the image are ensured in a rapid movement or complex scene.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent helmets, and in particular to a display intelligent helmet based on AR function. Background Art

[0002] An intelligent helmet is a wearable device integrating a variety of advanced technologies, aiming to provide users with functions such as augmented reality (AR) experience, intelligent navigation, real-time interaction, and image recording. With the rapid development of fields such as augmented reality technology and artificial intelligence, for example, in industrial scenarios, intelligent helmets can provide real-time operation guidance for workers; in tourism scenarios, they can provide immersive scenic spot introductions for tourists; in the medical field, they can help doctors conduct remote surgery guidance.

[0003] However, after retrieval, it is found that the existing intelligent helmets have insufficient brightness and resolution in the display module, resulting in unclear images in strong light environments, the navigation module has reduced positioning accuracy in complex environments such as tunnels or indoors, and the interaction module lacks accurate understanding of user intentions, resulting in inconvenient operations. In addition, the battery life and communication efficiency of the power supply and data transmission module also need to be improved. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides a display intelligent helmet system based on AR function, which solves the problems such as "low use efficiency" in the above background art.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention is realized through the following technical solutions: A display intelligent helmet system based on AR function, comprising:

[0008] A display module for displaying images in the display area;

[0009] An intelligent navigation module for providing navigation information adapted to road conditions;

[0010] An AI interaction module for realizing voice operation functions;

[0011] A camera module for taking images;

[0012] A power supply and data transmission module for supplying power to each module and realizing data interaction.

[0013] Preferably, the display module includes an image presentation unit and a performance optimization unit. The image presentation unit uses optical display to display images. The performance optimization unit is used to boost the display brightness to 15000 nit, so that the actually measured brightness is not lower than 5000 nit, the monocular resolution reaches 720p, and the light transmittance is not lower than 83%. Among them, the optical display uses a Micro-oled light source to emit light, and the image is displayed in the display area through a waveguide lens, and the dynamic pixel refresh rate adjustment technology is adopted to automatically adjust the pixel refresh rate according to the dynamic degree of the display content.

[0014] Preferably, the optical display includes a dual-light-source, dual-screen display scheme, a single-light-source, dual-screen display scheme, or a single-light-source, single-screen display scheme. The dual-light-source, dual-screen display scheme uses two Micro-oled light sources and two display screens to display stereoscopic navigation information 3-10 meters in front of the user. The single-light-source, dual-screen display scheme uses a single Micro-oled light source, and the light is distributed to two display screens through an optical splitting module to achieve a stereoscopic effect. The single-light-source, single-screen display scheme uses a single Micro-oled light source and a single display screen, which has a high light transmittance.

[0015] Preferably, the dual-light-source, dual-screen display scheme further includes a holographic diffraction optical element and a dynamic wavefront modulation algorithm. The holographic diffraction optical element is used to diffract the light emitted by the light source into a light beam at a specific angle and project it onto the display screen. The dynamic wavefront modulation algorithm is used to adjust the phase and intensity of the light in real time according to the user's head movement and ambient light change. Among them, the phase adjustment uses the following formula: Δφ= where Δφ is the light phase adjustment amount, λ is the light source wavelength, Δd is the optical path difference caused by head movement, which is calculated in real time by an inertial measurement unit, α is the temperature sensitivity coefficient to compensate for the lens deformation caused by ambient temperature change, is the ambient temperature gradient;

[0016] The intensity adjustment uses the following formula: I out =I env ·k·e -β·θ +I base where, I out is the output light intensity, I env is the ambient light intensity, which is collected by a photosensitive sensor, k is the dynamic gain coefficient and is obtained by looking up a table in the ambient light intensity range, β is the incident angle attenuation coefficient, which characterizes the angle response characteristics of the waveguide lens, θ is the light incident angle, which is measured in real time by a head pose sensor, and I base is the basic light intensity.

[0017] Preferably, the single-light-source, dual-screen display solution further includes a photonic crystal optical waveguide technology and a time-division multiplexing display technology. The photonic crystal optical waveguide is used to distribute the single-light-source light to two display screens. The time-division multiplexing display technology is used to alternately send different images to the left and right display screens at time intervals to achieve stereoscopic display. And a metasurface coating is applied on the surface of the optical waveguide. The single-light-source, single-screen display solution uses a nanoimprinted microstructured optical waveguide technology to process a nano-scale microstructured array on the surface of the optical waveguide lens, and is provided with an adaptive optical compensation module. The adaptive optical compensation module detects the deformation of the lens surface and the light propagation error through a micro sensor, and automatically adjusts the microstructure parameters.

[0018] Preferably, the AI interaction module includes a motion intention interaction unit and a consciousness interaction unit. The motion intention interaction unit uses a brain-computer interface device to collect the neural signals of the user's motor cortex in real time, and uses deep learning algorithms and neural signal processing technologies to predict the user's motion intention. The consciousness interaction unit is used to collect multi-dimensional neural activity data such as the user's electroencephalogram signals and magnetoencephalogram signals, and analyzes and understands the fuzzy thoughts or intentions in the user's mind through a stream-of-consciousness interaction algorithm. The AI interaction module further includes a voice interaction unit. The voice interaction unit includes a microphone and a speaker, and is used to implement voice operations, make and receive calls, and turn on and off the navigation with voice commands. The motion intentions include acceleration, deceleration, and turning operations.

[0019] Preferably, the intelligent navigation module includes a positioning and communication unit and a prediction unit. The positioning and communication unit uses quantum positioning and quantum entanglement communication technologies to achieve high-precision positioning and data transmission, or uses a satellite-inertial integrated navigation enhancement technology to calculate the position through an inertial measurement unit when the satellite signal is weak. The prediction unit constructs a spatio-temporal prediction model through deep learning and quantum computing technologies, or uses a multi-modal road condition prediction technology to combine historical traffic data, real-time weather information, and traffic flow prediction models in the surrounding area to predict future road conditions, traffic flow, and emergencies.

[0020] Preferably, the camera module includes a quantum imaging unit and a multi-dimensional recording unit. The quantum imaging unit uses the principle of quantum imaging and uses entangled photon pairs for imaging. The multi-dimensional recording unit includes a special sensor array and a data processing algorithm, and is used to collect and fuse three-dimensional spatial information, time-dimensional change information, and environmental physical field information. The camera module further includes a conventional camera unit, which is integrated on the helmet and can be used as a tool for travel shooting or as a dash cam.

[0021] Preferably, the power supply and data transmission module includes a biological nuclear battery power supply unit, a wireless energy resonance transmission unit, and a neutrino communication unit. The biological nuclear battery power supply unit generates energy by the decay of radioactive isotopes in organisms. The wireless energy resonance transmission unit is used to achieve wireless charging by the resonance principle when the helmet is close to a wireless charging device. The neutrino communication unit is provided with neutrino emission and reception devices for realizing global data communication using neutrino beams. The power supply and data transmission module further includes a lithium battery power supply unit, and the lithium battery power supply unit is powered by a single lithium battery.

[0022] Preferably, the AR function-based display intelligent helmet includes a helmet body, and data is transmitted between the helmet body and a mobile phone via Bluetooth or Wi-Fi.

[0023] (III) Beneficial effects

[0024] The present invention provides an AR function-based display intelligent helmet, which has the following beneficial effects:

[0025] (1) When the AR function-based display intelligent helmet system is in use, by adopting Micro-oled light source and optical waveguide lens technologies, the display module of the present invention achieves a brightness of up to 15000 nit and an actually measured brightness of not less than 5000 nit, a monocular resolution of 720p, and a light transmittance of not less than 83%. Through the dynamic pixel refresh rate adjustment technology, the pixel refresh rate is automatically adjusted according to the dynamic degree of the displayed content, reducing energy consumption, and at the same time ensuring the clarity and smoothness of the image in fast movement or complex scenarios.

[0026] (2) When the AR function-based display intelligent helmet is in use, through quantum positioning and quantum entanglement communication technologies or satellite-inertial integrated navigation enhancement technologies, even in an environment with weak satellite signals such as a tunnel, the position can be accurately estimated through an inertial measurement unit. Through a prediction unit combining deep learning and quantum computing technologies, a spatio-temporal prediction model is constructed, which can accurately predict future road conditions, traffic flow, and emergencies.

[0027] (2) When the AR function-based display intelligent helmet is in use, the brain-computer interface device is used to collect the neural signals of the user's motor cortex in real time, and deep learning algorithms and neural signal processing technologies are used to predict the user's movement intention with an accuracy rate ≥ 95%. Through the consciousness interaction unit, by collecting and analyzing multi-dimensional neural activity data such as the user's electroencephalogram signals and magnetoencephalogram signals, the vague thoughts or intentions in the user's mind are understood. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the complete system framework of the present invention;

[0029] Figure 2 Schematic diagram of the display module framework of the present invention;

[0030] Figure 3 Simplified schematic diagram of the optical display solution of the present invention;

[0031] Figure 4 Schematic diagram of the AI interaction module framework of the present invention;

[0032] Figure 5 Schematic diagram of the intelligent navigation module framework of the present invention;

[0033] Figure 6 Schematic diagram of the camera module framework of the present invention;

[0034] Figure 7 Schematic diagram of the power supply and data transmission module framework of the present invention;

[0035] Figure 8 Schematic diagram of the three-dimensional structure of the intelligent helmet of the present invention.

[0036] In the figure: 1. Display module; 2. Intelligent navigation module; 3. AI interaction module; 4. Camera module; 5. Power supply and data transmission module; 101. Image presentation unit; 102. Performance optimization unit; 201. Positioning and communication unit; 202. Prediction unit; 301. Motion intention interaction unit; 302. Consciousness interaction unit; 303. Voice interaction unit; 401. Quantum imaging unit; 402. Multi-dimensional recording unit; 403. Conventional camera unit; 501. Biological nuclear battery power supply unit; 502. Wireless energy resonance transmission unit; 503. Neutrino communication unit; 504. Lithium battery power supply unit; 505. Bluetooth-Wi-Fi data transmission unit; 10. Helmet body. Detailed implementation manners

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Through the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0038] Please refer to Figures 1-8, the present invention provides a display intelligent helmet system based on AR function, which includes: a display module 1, an intelligent navigation module 2, an AI interaction module 3, a camera module 4, and a power supply and data transmission module 5. The display module 1 is used to display images in the display area. Specifically, the display module 1 includes an image presentation unit 101 and a performance optimization unit 102. The image presentation unit 101 uses optical display to display images, and the performance optimization unit 102 is used to increase the display brightness to 15000 nit, so that the actually measured brightness is not less than 5000 nit, the monocular resolution reaches 720p, and the light transmittance is not less than 83%. Among them, the optical display uses a Micro-oled light source to emit light, and the image is displayed in the display area through a waveguide lens, and the dynamic pixel refresh rate adjustment technology is used to automatically adjust the pixel refresh rate according to the dynamic degree of the display content. The dynamic pixel refresh rate adjustment technology automatically adjusts the pixel refresh rate by real-time monitoring the dynamic degree of the display content to reduce energy consumption and improve the display effect, especially in fast-moving or complex scenarios, to ensure the clarity and smoothness of the image;

[0039] Furthermore, the optical display includes a dual-light source, dual-screen display scheme, a single-light source, dual-screen display scheme, or a single-light source, single-screen display scheme. The dual-light source, dual-screen display scheme uses two Micro-oled light sources and two display screens to display stereoscopic navigation information 3-10 meters in front of the user. The single-light source, dual-screen display scheme uses a single Micro-oled light source, and the light is distributed to two display screens through an optical beam splitting module, which can achieve a stereoscopic effect. The single-light source, single-screen display scheme uses a single Micro-oled light source and a single display screen, which has a high light transmittance. The dual-light source, dual-screen display scheme uses two independent light sources and display screens to achieve a more realistic stereoscopic effect, which is suitable for complex navigation scenarios. The single-light source, dual-screen display scheme uses an optical beam splitting module to achieve a stereoscopic effect while reducing hardware costs. In addition, the single-light source, single-screen display scheme is suitable for scenarios that require high definition and low energy consumption through a high light transmittance design;

[0040] Furthermore, the dual-light source, dual-screen display scheme also includes a holographic diffraction optical element and a dynamic wavefront modulation algorithm. The holographic diffraction optical element is used to diffract the light emitted by the light source into a light beam at a specific angle and project it onto the display screen. The dynamic wavefront modulation algorithm is used to adjust the phase and intensity of the light in real time according to the user's head movement and environmental light changes. Among them, the phase adjustment uses the following formula: where Δφ is the light phase adjustment amount, λ is the light source wavelength, Δd is the optical path difference caused by head movement, which is calculated in real time by an inertial measurement unit, and α is the temperature sensitivity coefficient to compensate for the lens deformation caused by environmental temperature changes. is the environmental temperature gradient. The holographic diffractive optical element ensures the clarity and stability of the image on the display screen by precisely controlling the diffraction angle of light. The dynamic wavefront modulation algorithm compensates for image distortion caused by user head movement and environmental changes by adjusting the phase and intensity of light in real time, enhancing the user experience.

[0041] The intensity adjustment uses the following formula: I out = I env ·k·e -β·θ + I base , where I out is the output light intensity, I env is the ambient light intensity, collected by a photosensitive sensor, k is the dynamic gain coefficient and is obtained by looking up a table in the ambient light intensity range, β is the incident angle attenuation coefficient, characterizing the angle response characteristics of the waveguide lens, θ is the incident angle of light, measured in real time by a head pose sensor, and I base is the basic light intensity. The intensity adjustment formula dynamically adjusts the output light intensity by monitoring the ambient light intensity and the incident angle of light in real time, ensuring the best brightness and contrast of the image under different environmental conditions.

[0042] Suppose the user's head turns 10° to the left, Δφ = 0.02m, λ = 550nm, the ambient light intensity rises from 5000 nit to 8000 nit, and the temperature rises 5K. The steps are as follows:

[0043] First, perform the phase adjustment amount. Then, perform the intensity adjustment. Looking up the table, k = 0.6 and β = 2 rad in a strong light environment -1 , θ = 10° = 0.1745 rad;

[0044] I out = 8000×0.6×e -2×0.1745 + 5000 = 4800×0.709 + 5000 ≈ 8303 nit ≥

[0045] 5000 nit.

[0046] In addition, the single light source, dual - screen display scheme also includes photonic crystal waveguide technology and time - division multiplexing display technology. The photonic crystal waveguide is used to distribute the single light source light to two display screens. The time - division multiplexing display technology is used to alternately send different pictures to the left and right display screens at time intervals to achieve stereoscopic display. And the waveguide surface is coated with a metasurface coating. The single light source, single - screen display scheme uses nano - imprinted micro - structure waveguide technology to process a nano - scale micro - structure array on the surface of the waveguide lens, and is equipped with an adaptive optical compensation module. The adaptive optical compensation module detects the deformation of the lens surface and the light propagation error through a micro - sensor and automatically adjusts the micro - structure parameters. Specifically, the time allocation uses the following formula: Among them, t left is the refresh time (s) of the left eye screen, and t right is the refresh time (s) of the right eye screen, and F is the system frame rate.

[0047] The intelligent navigation module 2 is used to provide navigation information for adapting to road conditions. Specifically, the intelligent navigation module 2 includes a positioning and communication unit 201 and a prediction unit 202. The positioning and communication unit 201 uses quantum positioning and quantum entanglement communication technology to achieve high-precision positioning and data transmission, or uses satellite-inertial integrated navigation enhancement technology to calculate the position through an inertial measurement unit when the satellite signal is weak. Specifically, when the satellite signal is weak (such as in a tunnel), the position is calculated through the inertial measurement unit, and the formula is where: P is the position, v is the velocity, a is the acceleration, which is collected by the IMU in real time.

[0048] The prediction unit 202 constructs a spatio-temporal prediction model through deep learning and quantum computing technology, or uses multi-modal road condition prediction technology, combines historical traffic data, real-time weather information, and traffic flow prediction models in the surrounding area to predict future road conditions, traffic flow, and sudden accidents.

[0049] The AI interaction module 3 is used to implement voice operation functions. Specifically, the AI interaction module 3 includes a motion intention interaction unit 301 and a consciousness interaction unit 302. The motion intention interaction unit 301 collects the neural signals of the user's motor cortex in real time through a brain-computer interface device, and uses deep learning algorithms and neural signal processing technologies to predict the user's motion intention. The consciousness interaction unit 302 is used to collect multi-dimensional neural activity data such as the user's electroencephalogram signals and magnetoencephalogram signals, and analyze and understand the fuzzy thoughts or intentions in the user's mind through a stream-of-consciousness interaction algorithm. Among them, the neural signals of the motor cortex are collected through a brain-computer interface, filtered by a band-pass filter and feature-extracted, and then input into a deep learning model to predict acceleration, deceleration, and turning intentions, with an accuracy rate ≥ 95%. The multi-dimensional neural data is fused with electroencephalogram and magnetoencephalogram signals, and the fuzzy intention is analyzed through a stream-of-consciousness algorithm. The attention mechanism model is used to achieve context association. The AI interaction module 3 also includes a voice interaction unit 303. The voice interaction unit 303 includes a microphone and a speaker, and is used to implement voice operations, make and answer calls, and turn on and off the navigation with voice commands. The motion intentions include acceleration, deceleration, and turning operations.

[0050] The imaging module 4 is used for taking images. Specifically, the imaging module 4 includes a quantum imaging unit 401 and a multi-dimensional recording unit 402. The quantum imaging unit 401 adopts the principle of quantum imaging and uses entangled photon pairs for imaging. The multi-dimensional recording unit 402 includes a special sensor array and a data processing algorithm, and is used for collecting and fusing three-dimensional spatial information, temporal dimension change information, and environmental physical field information. The specific formula is as follows: M = f(P 3D , V t , S env ), where M is the environmental model, f is the multi-modal fusion function. The imaging module 4 also includes a conventional imaging unit 403, which is integrated on the helmet and is used as a tool for tourist shooting or as a dash cam.

[0051] The power supply and data transmission module 5 is used for powering each module and realizing data interaction. Specifically, the power supply and data transmission module 5 includes a biological nuclear battery power supply unit 501, a wireless energy resonance transmission unit 502, and a neutrino communication unit 503. The biological nuclear battery power supply unit 501 uses the decay of radioactive isotopes in the organism to generate energy. The wireless energy resonance transmission unit 502 is used for wireless charging by resonance when the helmet is close to a wireless charging device. The neutrino communication unit 503 is provided with neutrino emission and reception devices and is used for realizing global data communication using neutrino beams. The power supply and data transmission module 5 also includes a lithium battery power supply unit 504, and the lithium battery power supply unit 504 uses a single lithium battery for power supply.

[0052] The present invention also provides an AR function-based display smart helmet, including a helmet body 10, and data transmission between the helmet body 10 and the mobile phone is through Bluetooth or Wi-Fi.

[0053] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A display intelligent helmet system based on AR function, characterized in that: Including: A display module (1) for displaying an image in a display area; An intelligent navigation module (2) for providing navigation information adapted to road conditions; An AI interaction module (3) for implementing a voice operation function; A camera module (4) for capturing images; A power supply and data transmission module (5) for supplying power to each module and implementing data interaction.

2. The display intelligent helmet system based on AR function according to claim 1, characterized in that: The display module (1) includes an image presentation unit (101) and a performance optimization unit (102). The image presentation unit (101) uses optical display to display an image. The performance optimization unit (102) is used to increase the display brightness to 15000 nit, so that the actually measured brightness is not less than 5000 nit, the monocular resolution reaches 720p, and the light transmittance is not less than 83%. Among them, the optical display uses a Micro-oled light source to emit light, and the image is displayed in the display area through a waveguide lens, and a dynamic pixel refresh rate adjustment technology is used to automatically adjust the pixel refresh rate according to the dynamic degree of the display content.

3. The display intelligent helmet system based on AR function according to claim 1, characterized in that: The optical display includes a dual-light source, dual-screen display scheme, a single-light source, dual-screen display scheme, or a single-light source, single-screen display scheme. The dual-light source, dual-screen display scheme uses two Micro-oled light sources and two display screens to display stereoscopic navigation information 3-10 meters in front of the user. The single-light source, dual-screen display scheme uses a single Micro-oled light source, and the light is distributed to two display screens through an optical beam splitting module to achieve a stereoscopic effect. The single-light source, single-screen display scheme uses a single Micro-oled light source and a display screen, with a high light transmittance.

4. The display intelligent helmet system based on AR function according to claim 1, characterized in that: The dual-light-source, dual-screen display solution further includes a holographic diffractive optical element and a dynamic wavefront modulation algorithm. The holographic diffractive optical element is used to diffract the light emitted by the light source into a light beam at a specific angle and project it onto the display screen. The dynamic wavefront modulation algorithm is used to adjust the phase and intensity of the light in real time according to the movement of the user's head and the change of ambient light. Among them, the phase adjustment uses the following formula: where Δφ is the light phase adjustment amount, λ is the light source wavelength, Δd is the optical path difference caused by head movement, which is calculated in real time by an inertial measurement unit, α is the temperature sensitivity coefficient to compensate for the lens deformation caused by ambient temperature change, is the ambient temperature gradient; The intensity adjustment adopts the following formula: I out = I env ·k·e -β·θ + I base , where I out is the output light intensity, I env is the ambient light intensity, which is collected by a photosensitive sensor. k is the dynamic gain coefficient and is obtained by looking up a table in the ambient light intensity range. β is the incident angle attenuation coefficient, which characterizes the angle response characteristic of the optical waveguide lens. θ is the incident angle of the light ray and is measured in real time by a head pose sensor. I base is the basic light intensity.

5. The display intelligent helmet system based on AR function according to claim 1, characterized in that: The single-light source, dual-screen display scheme further includes a photonic crystal waveguide technology and a time-division multiplexing display technology. The photonic crystal waveguide is used to distribute the single-light source light to two display screens. The time-division multiplexing display technology is used to alternately send different pictures to the left and right display screens at time intervals to achieve stereoscopic display, and the waveguide surface is coated with a metasurface coating. The single-light source, single-screen display scheme uses a nanoimprinted microstructured waveguide technology to process a nano-scale microstructured array on the surface of the waveguide lens, and is provided with an adaptive optical compensation module. The adaptive optical compensation module detects the lens surface deformation and light propagation error through a micro sensor and automatically adjusts the microstructural parameters.

6. The display intelligent helmet system based on AR function according to claim 1, characterized in that: The AI interaction module (3) includes a motion intention interaction unit (301) and a consciousness interaction unit (302). The motion intention interaction unit (301) collects the neural signals of the user's motor cortex in real time through a brain-computer interface device, and uses deep learning algorithms and neural signal processing techniques to predict the user's motion intention. The consciousness interaction unit (302) is used to collect multi-dimensional neural activity data such as the user's electroencephalogram signals and magnetoencephalogram signals, and analyzes and understands the fuzzy thoughts or intentions in the user's mind through a stream of consciousness interaction algorithm. The AI interaction module (3) further includes a voice interaction unit (303). The voice interaction unit (303) includes a microphone and a speaker, and is used to implement voice operations, make and receive calls, and turn on and off the navigation with voice commands. The motion intentions include acceleration, deceleration, and turning operations.

7. The display intelligent helmet system based on AR function according to claim 1, characterized in that: The intelligent navigation module (2) includes a positioning and communication unit (201) and a prediction unit (202). The positioning and communication unit (201) uses quantum positioning and quantum entanglement communication technologies to achieve high-precision positioning and data transmission, or uses satellite-inertial integrated navigation enhancement technology to calculate the position through an inertial measurement unit when the satellite signal is weak. The prediction unit (202) constructs a spatio-temporal prediction model through deep learning and quantum computing technologies, or uses multi-modal road condition prediction technologies, combines historical traffic data, real-time weather information, and traffic flow prediction models in the surrounding area, and is used to predict future road conditions, traffic flow, and sudden accidents.

8. The display intelligent helmet system based on AR function according to claim 6, characterized in that: The camera module (4) includes a quantum imaging unit (401) and a multi-dimensional recording unit (402). The quantum imaging unit (401) uses the principle of quantum imaging and uses entangled photon pairs for imaging. The multi-dimensional recording unit (402) includes a special sensor array and a data processing algorithm, and is used to collect and fuse three-dimensional spatial information, time dimension change information, and environmental physical field information. The camera module (4) further includes a conventional camera unit (403). The conventional camera unit (403) is integrated on the helmet and is used as a tool for travel shooting and can also be used as a dash cam.

9. The display intelligent helmet system based on AR function according to claim 1, characterized in that: The power supply and data transmission module (5) includes a biological nuclear battery power supply unit (501), a wireless energy resonance transmission unit (502), and a neutrino communication unit (503). The biological nuclear battery power supply unit (501) uses the decay of radioactive isotopes in organisms to generate energy. The wireless energy resonance transmission unit (502) is used to achieve wireless charging through the resonance principle when the helmet is close to a wireless charging device. The neutrino communication unit (503) is provided with neutrino emission and reception devices and is used to achieve global data communication using neutrino beams. The power supply and data transmission module (5) further includes a lithium battery power supply unit (504). The lithium battery power supply unit (504) is powered by a lithium battery.

10. A display intelligent helmet based on AR function according to any one of claims 1-9, characterized in that: It includes a helmet body (10), and data transmission between the helmet body (10) and the mobile phone is through Bluetooth or Wi-Fi.

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