2137 results about "Human eye" patented technology

The invention discloses a high-precision image processing method and system based on illumination adaptive compensation, and relates to the technical field of computer vision and image processing, and the method comprises the steps: inputting an original image, and dividing the image into a high-frequency edge layer, an intermediate-frequency texture layer and a low-frequency illumination layer through a multi-scale residual network; acquiring illumination intensity, color temperature and scene categories in real time by using an ambient light sensor and a scene semantic segmentation model, and generating dynamic compensation parameters; carrying out dynamic range expansion on a low-frequency illumination layer based on a physical illumination model, and adjusting the weight of highlight suppression and dark area enhancement through a self-adaptive S-shaped exposure curve; a double-branch generative adversarial network is adopted, noise suppression and super-resolution reconstruction are carried out on the high-frequency layer, and texture detail enhancement is carried out on the intermediate-frequency layer; aligning the data of the depth camera and the infrared sensor with the visible light image through a cross-modal fusion module; and performing tone mapping on the fused image based on human visual characteristics, and outputting an enhanced image with a high dynamic range and reserved details.

The invention relates to the technical field of display, and particularly discloses a dynamic ambient light adaptive OLED display optimization method and system, and the method comprises the steps: obtaining an ambient light time sequence data set of an environment where an OLED display screen is located, and synchronously obtaining real-time display parameters and historical brightness adjustment data of the display screen; acquiring ambient light sensing features according to the ambient light time sequence data set; obtaining photo-thermal structure coverage area data of the OLED display screen according to the real-time display parameters; and acquiring preliminary optimization parameters according to the ambient light sensing characteristics and the photo-thermal structure coverage area data. According to the invention, illumination intensity, spectrum drift and contrast change are captured in real time in combination with ambient light perception characteristics, the one-sidedness of adjustment only according to brightness traditionally is solved, reflection can be reduced through photothermal structure deformation under strong light, brightness can be improved to offset interference, and human visual characteristics can be matched under weak light. And the display definition and the visual comfort in different environments are effectively improved.

The invention discloses a cockpit visual work efficiency evaluation method. The method comprises the following steps: establishing a cockpit geometric model according to a real cockpit; establishing a cockpit light environment model according to the cockpit light environment parameters; establishing a cockpit optical material model according to the optical material parameters of the inner and outer surfaces of the cockpit; fusing and establishing a cockpit optical model; a simulation detector is arranged on the cockpit optical model; according to the cockpit optical model and the analog detector, human eye vision optical simulation and dazzle source space tracking and positioning are carried out; according to a glare source space tracking and positioning result, a cockpit structure is optimized; and performing cockpit visual work efficiency evaluation according to a cockpit structure optimization result. According to the cockpit visual work efficiency evaluation method, reasonable evaluation of cockpit visual work efficiency readable visibility in various environments is achieved, simulation is conducted on the cockpit light environment through computer software, and adjustment can be conducted according to the working habit, the vision condition, the age and other factors of each pilot.

The disclosure provides smart swimming goggles, including a swimming goggle eyecup, a housing attached to the swimming goggle eyecup and internally provided with a closed cavity, and a near-eye display system arranged in the closed cavity of the housing; the near-eye display system includes a light source device, an optical assembly at least including a waveguide lens, a processor, and a wireless communication module; an area, right facing the waveguide lens, of the housing is a light-transmitting area; the optical assembly is configured to transmit projection light outputted by the light source device to a human eye through the waveguide lens; the processor is in communication connection with an external terminal device through the wireless communication module, so that information interaction between the processor and the external terminal device is facilitated; and the housing is further provided with a waterproof key-attached to the processor and configured to send a trigger instruction to the processor when pressed, so that the processor controls a working state of the light source device according to the trigger instruction. According to the smart swimming goggles in the disclosure, more swimming information data is able to be provided for a swimmer, the swimming interestingness is enhanced, and the personalized requirements of a user are met.

The invention discloses an LED (Light Emitting Diode) energy-saving street lamp system self-adaptive to an ambient light effect and an illumination adjusting method thereof, and belongs to the technical field of novel illumination control and green energy conservation. The system comprises a light environment sensing module, a traffic flow monitoring module, an LED driving power supply and an electroluminescent illumination module composed of a plurality of light emitting diodes. The main control module is configured to execute active lighting effect decoupling logic, namely, when the electroluminescent lighting module keeps steady-state lighting, the driving power supply is controlled to inject a micro-disturbance modulation signal which cannot be perceived by human vision into output current, and illuminance response data of the light environment perception module are synchronously collected; the road surface reflectivity coupling coefficient is obtained in real time by calculating the change ratio of the response data to the modulation signal, then the reflected light component excited by the street lamp itself is accurately removed from the total illumination value, and the pure environment background illumination is decoupled. The problems of misoperation and energy waste caused by self-luminous interference of a traditional light-operated street lamp are solved.

The invention belongs to the technical field of refraction detection, and particularly relates to a human eye dynamic refraction detection method based on a three-dimensional phase deflection method. The method comprises the following steps: S1, based on a three-dimensional phase deflection imaging system and an iterative representation integral algorithm, obtaining a 3D shape of a to-be-detected human eye in place in real time; s2, on the basis of the 3D shape of the to-be-detected human eye, the current staring direction of the to-be-detected human eye is obtained in real time in place by combining a ray tracing method; s3, establishing a refractive imaging system, and obtaining a diopter value of the to-be-measured human eye in the current staring direction in real time in place based on the refractive imaging system; and S4, fitting different staring directions of the to-be-detected human eyes and the dynamic numerical curve of the diopter values in the corresponding staring directions to realize human eye dynamic refraction detection. According to the method, an accurate treatment scheme can be accurately provided for the ametropia patient in a real scene, and guidance can be provided in the aspect of personalized customization of the spectacle lenses.

The invention provides a high-precision dot matrix density cosmetic contact lens development method and system, a medium and a product, and relates to the technical field of cosmetic contact lens production, and the method comprises the steps: obtaining multi-mode fashion data through a crawler technology, and extracting a trend language intention vector from the multi-mode fashion data; based on a pre-trained neural network model, mapping the trend language intention vector into a microscopic physical parameter for defining a cosmetic contact lens pattern to obtain an initial dot matrix parameter set; performing graphical rendering on the initial dot matrix parameter set to obtain a plurality of initial cosmetic pupil dot matrix patterns; simulating the wearing effect of each initial cosmetic contact lens dot matrix pattern on the three-dimensional human eye model through simulation software to obtain a plurality of virtual wearing effect pictures; and determining the initial cosmetic contact lens dot matrix pattern of which the aesthetic evaluation score is greater than a preset score threshold as a final cosmetic contact lens dot matrix pattern. By implementing the method, the limitation of a traditional design element library can be broken, the generation of the cosmetic contact lens pattern is more innovative and diversified, and the innovativeness and the popular integrating degree of the cosmetic contact lens pattern are improved.

The invention provides a warning method and system of an intelligent tripod warning lamp, and relates to the technical field of intelligent vehicle-mounted technologies. When a vehicle is in danger, vehicle state information is collected to automatically generate a warning trigger instruction, and a rear target projection point is determined based on a road type and a vehicle position; projection parameters are calculated in combination with vehicle postures, a vehicle-mounted projection light source is driven to generate a triangular warning graph on the ground at the target distance, meanwhile, light beam output is adjusted in a self-adaptive mode according to environment illumination and visibility, and it is guaranteed that the graph is clear and visible and conforms to human eye safety; the projection position and parameters are dynamically updated to maintain stable warning during the duration of the dangerous state, and the system is automatically closed and reset when the danger is relieved or manual termination is performed, so that the risk of manual arrangement is avoided, and long-distance stable warning is realized.

The invention discloses an evaluation and feedback method and system combining eye movement and visual and auditory algorithms, and relates to the technical field of eye movement and visual and auditory. The evaluation and feedback method combining the eye movement and the visual and auditory algorithm comprises the following steps: acquiring human eye image information by wearing head-mounted eye movement tracking equipment, and mapping to obtain a real-time human eye staring position under a scene camera coordinate system in combination with a scene image acquired by a scene camera in the equipment; a scene camera in the head-mounted eye movement tracking equipment and acoustic acquisition equipment arranged in an environment are utilized to analyze and process acquired scene images and sound signals through a visual / auditory processing algorithm, so that scene contents are identified, detected, segmented and positioned. According to the method, the problems that most of current researches are still limited to single-mode analysis, a joint modeling and intelligent evaluation mechanism for multi-mode sensing signals is lacked, and the requirement for panoramic, real-time and intelligent feedback of individual states is difficult to meet are solved.

An automatic heat-sealing quality control system to automatically control a quality of a heat-sealing of a sealing strip to a longitudinal edge of a packaging web at a heat- sealing station in a packaging machine, where sealed packages containing pourable food products are continuously produced from a continuous vertical tube filled with the pourable food product and formed by longitudinally folding the packaging web to overlap longitudinal edges thereof and then heat-sealing the overlapping longitudinal edges. The system comprises a visible-light imaging camera designed to operate in the electromagnetic spectrum visible to human eye to capture and output visible-light digital images.

The invention discloses a stem cell fusion degree detection method and system based on artificial intelligence, and a storage medium. The method comprises the following steps: carrying out image preprocessing on a cell microscope image; automatically calculating an optimal threshold value by using an image threshold value segmentation algorithm to obtain a cytoplasm mask; median filtering is carried out on the original image to reduce noise, then an adaptive threshold segmentation method is adopted, a local threshold is calculated according to local area gray level distribution, and a cell nucleus binary image is generated; performing connected region marking on the cell nucleus binary image, calculating the area attribute of each region, and performing filtering according to a cell nucleus removal ratio parameter to obtain a cell nucleus mask; performing logic OR operation on the cytoplasm mask and the cell nucleus mask to obtain a complete cell segmentation result; and calculating the fusion degree of the stem cells based on the cell segmentation result. Therefore, the problems of accuracy and consistency of judging the fusion degree of the stem cells by observing microscope images with human eyes in the prior art are solved, and accurate detection of the fusion degree of the stem cells is realized.

The utility model discloses a peripheral out-of-focus lens assembly and glasses, and the assembly comprises a basic lens which generates perspective focal power for perspective light; the single image source is arranged at the edge position of the near-eye side of the basic lens and is far away from the basic lens; the plurality of light splitting surfaces are embedded into the basic lens and are distributed in the basic lens at different inclination angles, and the central normal lines of the plurality of light splitting surfaces are inclined to the side where the image source is located relative to the central normal line of the lens; the light irradiation range of a single image source covers all the light splitting surfaces; each light splitting surface and the shared image source form an out-of-focus unit, each light splitting surface is used for reflecting light rays emitted by the image source to form convergent light rays, the convergent light rays are emitted to an exit pupil position, and an out-of-focus image is formed after the convergent light rays enter human eyes; a plurality of out-of-focus images formed by reflection of the plurality of light splitting surfaces are respectively distributed in a peripheral view field. The peripheral out-of-focus lens assembly and the glasses are used for realizing out-of-focus stimulation, inhibiting eye axis growth and achieving the purpose of preventing and controlling myopia.

The invention discloses a diffractive optical waveguide and a preparation method thereof, and a head-mounted display device, and relates to the technical field of augmented reality, and the preparation method of the diffractive optical waveguide comprises the steps: obtaining a target eye box range adaptive to a target crowd; according to the human eye parameters of each user group in the target group, splitting the target eye box range to obtain sub-eye box ranges adapted to each user group; diffractive optical waveguides adapted to the user groups are prepared based on the sub-eye box ranges, and the area of a coupled-out grating in each diffractive optical waveguide is smaller than the area of a coupled-out grating of an optical waveguide designed for covering the target eye box range. The optical efficiency and uniformity of the diffractive optical waveguide can be ensured, and the diffractive optical waveguide is prevented from generating obvious rainbow lines, so that the use experience of a user is improved.

The invention discloses a multiband LED epitaxial structure and a preparation method thereof, and relates to the technical field of semiconductors. A multi-quantum well light-emitting layer of the multiband LED epitaxial structure comprises a first long-wave blue light multi-quantum well light-emitting layer, a second medium-wave blue light multi-quantum well light-emitting layer, a third short-wave blue light multi-quantum well light-emitting layer and a fourth short-wave blue light end quantum well light-emitting layer which are sequentially stacked. The LED chip manufactured through the epitaxial structure can emit light of three different wave bands including long-wave blue light, medium-wave blue light and short-wave blue light, the excitation light source with the blue light of the three wave bands excites the red-green mixed fluorescent powder layer, a full-spectrum white light LED light source can be generated, and compared with a blue light LED chip with only one wave band, the full-spectrum white light LED light source has the advantages that the light emitting efficiency is improved, and the light emitting efficiency is improved. The ratio of short-wave blue light below 450 nm is small, damage to human eye retina cells is small, and a healthy full-spectrum white light LED light source with a high color rendering index can be achieved.

The utility model discloses an imaging colorimeter and a detection device, the imaging colorimeter comprises a housing, a light filtering module, an image sensor, a photographing module and a control module, a support is arranged in the housing, the photographing module is arranged at the bottom of the housing in a penetrating manner, the light filtering module comprises a driving module and a light filtering disc connected with the output end of the driving module, and the image sensor is arranged in the housing. The driving module is arranged on the support, the filter disc is located between the photographing module and the support, the image sensor is arranged on the support, and the control module is electrically connected with the image sensor, the photographing module and the driving module. When a product is tested, the driving module drives the filter disc to rotate, light received by the photographing module penetrates through the filter disc to be filtered by physical light splitting and then is projected to the image sensor, and the image sensor converts an optical signal into an electric signal and transmits the electric signal to an upper computer. The light is filtered and split, so that the image sensor outputs a color signal which is more suitable for human eye observation, and the accuracy of product testing is improved.

The invention discloses a mountain torrent visual simulation chain service construction method and system based on data model knowledge association integration, belongs to the technical field of disaster prevention and reduction informatization, and solves the problems of disordered model input standards and the like in the prior art. The method comprises the following steps: acquiring multi-scale mountain torrent data; the method comprises the following steps: constructing an ontology model based on multi-scale mountain torrent data to perform structured expression, and realizing mountain torrent scene data-simulation model-domain knowledge-oriented integrated association integration based on a large language model, cue words and external real-time monitoring data as constraint conditions to construct a mountain torrent data model; hierarchical simplification is carried out on mountain torrent dynamic visualization process data based on human eye visual perception characteristics and a mountain torrent data model, simplified mountain torrent grid data is used as original calculation data, and a'transmission-calculation-drawing 'elastic scheduling algorithm is constructed in combination with a user request to carry out dynamic visualization simulation on mountain torrents. The method is used for constructing the mountain torrent visual simulation chained service of data model knowledge association integration.

A closed cabin human eye perception evaluation method based on eye movement tracking belongs to the technical field of computer vision, and comprises the following steps: collecting eye movement data of simulation personnel in a specific simulation environment, analyzing the eye movement data, and analyzing and calculating the reaction time and the reaction accuracy of the simulation personnel to a moving target; the visual attention distribution and information processing capability of simulation personnel in a specific task situation can be revealed, so that the decision-making efficiency and the response capability of the simulation personnel in a complex dynamic environment are reflected; the continuity of the spliced screen is calculated, and the fluency degree of the connection effect at the spliced position of the screen is reflected; the eye movement focusing degree is analyzed, the attention level of simulation personnel on a target area can be quantified, whether visual attention is concentrated in a key information area or not is helped to be judged, multiple indexes are input into a regression model, and a comprehensive human eye perception score is obtained. The method has the characteristic of human eye perception evaluation for multi-screen splicing, and a comprehensive, accurate and easy-to-operate evaluation tool is provided.

The invention relates to the field of machine vision, in particular to a digital probe edge defect detection method and system based on machine vision, and the method comprises the steps: obtaining an original image, carrying out the preprocessing, positioning and contour extraction of the original image, and obtaining a high-precision edge contour image of a lens; and extracting a lens edge contour and a lens center from the high-precision edge contour image. A digital probe is constructed based on the center of the lens, the digital probe intersects with the edge contour of the lens to generate a plurality of intersection points when rotating, the distance between the intersection points and the center of the lens is used as reference data of anomaly analysis, and whether flaws exist on the edge of the lens or not and the specific position of the flaws are rapidly and accurately positioned. According to the method, related enterprises can be effectively helped to carry out leak checking and vacancy filling of the previous process, misleading caused by human eye sense during manual detection can be avoided to a great extent, meanwhile, the labor cost is further reduced, and the product production efficiency is greatly improved.

The invention discloses a stereoscopic vision optimization method and system for a naked-eye 3D large screen, and particularly relates to the technical field of naked-eye 3D vision optimizing.The method comprises the steps that environment illumination and audience positions are sensed in real time through multi-sensor fusion, and an environment light field model is established; glare crosstalk noise is predicted based on physical simulation, and self-adaptive suppression and compensation are carried out in combination with human eye visual sensitivity and image content features; a virtual camera is dynamically generated according to the real-time positions of the eyes of the audience, and a lightweight neural radiation field renderer is used for real-time re-rendering, so that motion parallax is realized; and finally, intelligently fusing the glare compensation layer and the perspective correction layer, coding and outputting to a screen. The system correspondingly comprises an environment perception module, a glare compensation module, a perspective rendering module and a fusion coding module. The naked-eye 3D large-screen display method effectively inhibits ambient light interference, improves the quality and immersion of a stereoscopic picture under different visual angles, and is suitable for naked-eye 3D large-screen display under outdoor and complex illumination environments.

The invention discloses an adversarial sample generation method and device, a system and a storage medium, disturbance is introduced into an image frequency domain, a frequency domain mask combined by a low-frequency mask and an intermediate-frequency mask is designed to enhance a specific frequency component gradient, a multidirectional orthogonal direction exploration strategy is introduced, and a diversified search space is provided for gradient updating; the self-adaptive step length adjustment strategy is adopted, the step length is dynamically calculated according to the iteration progress, the mobility of an adversarial sample between different architecture deep learning models is improved, on the premise that the adversarial sample is not perceived by human eyes, the prediction result of the model is efficiently interfered, and the effectiveness of the black box attack is enhanced. According to the method, the mobility of the adversarial sample is enhanced, and the method can be used for accurately evaluating the robustness of the deep learning model under the adversarial attack.

The invention discloses a vision correction lens for an XR product and a manufacturing method thereof.The lens comprises a front surface and a rear surface, the front surface is arranged to be a plane, the rear surface is arranged to be a curved surface, and the manufacturing method specifically comprises the steps that S1, a three-dimensional human eye eyeball simulation model containing human eye structure features is constructed, establishing a lens-eyeball combined optical model; s2, optimizing the integrated structure of the lens and the waveguide; s3, sampling lens grid data points point by point; s4, constructing a target evaluation function MF and optimization parameters; s5, correlation coefficients are calculated, and lens and free ring curved surface profiles are constructed; according to the invention, the difference between the natural light and the light from the XR waveguide sheet in wavelength and light component is particularly distinguished, the problem of image distortion at the edge of the field of view under a large visual angle can be obviously improved, and the image quality and visual comfort of the XR glasses are effectively improved on the premise of ensuring the vision correction function, so that the vision correction effect is improved. And the integrated structure of the lens and the waveguide is simplified.

The invention relates to an asymmetric scattering myopia control lens based on human eye visual behaviors, which is applied to the technical field of eye vision optics, and has the design core that an asymmetric visual behavior mode shown by human eyes in an actual visual task is deeply integrated into the optical design of the lens. Therefore, an asymmetric optical structure with scattering intensity distribution highly matched with individual visual habits is constructed. According to the lens, scattering characteristics can be accurately configured in a specific area of the lens according to a preset human eye visual behavior data model, especially in the lower half part of the lens, namely a visual field area corresponding to near-distance tasks such as near-distance reading, writing or electronic equipment use of a wearer; the scattering intensity is higher than that of the upper half part (corresponding to a far task view field area), so that the myopia control efficiency is remarkably improved, and meanwhile, the visual comfort and definition of a wearer are effectively considered.

The invention discloses a display equipment brightness dynamic adjusting method and system based on human factor engineering, and belongs to the field of liquid crystal display. Aiming at the problems of human eye perception deviation and visual fatigue caused by the fact that traditional display equipment depends on a fixed Gamma curve, an eye movement tracking module and an ambient light sensor are integrated to collect physiological signals and ambient light parameters of a user in real time, and a brightness perception nonlinear function is constructed in combination with the Weber-Fechner law; and brightness curve parameters are dynamically optimized by using a deep reinforcement learning algorithm, so that environment adaptive adjustment of the Gamma value is realized. According to the method, through real-time fusion of multi-modal physiological signals and environmental data, in combination with a human eye visual perception model and a deep reinforcement learning algorithm, a dynamic self-adaptive brightness mapping system is constructed, and triple breakthrough of visual comfort, energy efficiency and image quality of display equipment in a complex scene is realized on the premise that hardware architecture does not need to be changed.

The present application relates to the technical field of optical lenses, and discloses a peripheral defocus control lens and a manufacturing method. The peripheral defocus control lens comprises: a substrate, a microlens array, and a freeform surface. The substrate is a main area of the lens and has a spherical surface shape. The microlens array is arranged on the outer side of the substrate and is used for providing myopic defocus. The freeform surface is distributed on the inner side of the substrate and is used for compensating for or screening out refractive deviations in peripheral refraction of human eyes.

A holographic near-eye display device with multi-angle simultaneous illumination comprises a light source module, a spatial light modulator, a beam splitter, an eyepiece, and a master controller. The light source module emits parallel light at different angles and simultaneously illuminates and covers effective working area of spatial light modulator which, loaded with a hologram, modulates incident parallel light at different angles to form diffracted parallel light at different angles, that is, virtual images at different viewing angles. Parallel light at different angles illuminates spatial light modulator. After modulated and diffracted by calculated hologram on spatial light modulator, the diffracted image light is converged by second lens to form different viewpoints for human eye to view. In multi-angle simultaneous illumination, additional time-sharing control of illumination unit is not needed. When size and position of human eye pupil change, clear virtual image is always seen, achieving expanding the eyebox.

The invention provides a large-view-field high-resolution compound eye camera array system based on bionic human eye vision. The system is composed of a curved surface support and an industrial camera array arranged on the curved surface support. Reverse extension lines of optical axes of all the cameras intersect at the same point to form a concave surface structure similar to the retina, and the fixed view field overlapping rate of the adjacent cameras is kept. The industrial camera array is used for collecting a target scene image, large-view-field information is obtained by fusing and splicing all camera images, and a high-resolution image is obtained by conducting super-resolution reconstruction on a plurality of related images in a view field center interested area. The system provides three working modes, namely a low-resolution mode, a conventional-resolution mode and a super-resolution mode, which can be switched by adjusting camera parameters. Finally, the system can perceive the dynamic change of the edge of the field of view in a high-frame-rate and low-resolution mode, magnify the details in the center of the field of view in a super-resolution mode, realize efficient non-uniform imaging, and optimize the information acquisition and processing efficiency and the structure compactness.

The invention discloses a large-field-of-view high-resolution fundus imaging system and method, and belongs to the field of adaptive optical imagines.The large-field-of-view high-resolution fundus imaging system is characterized in that light of a light source is divided into multiple beams by a beam splitter, and the multiple beams of light enter human eyes through a first spectroscope and an aberration correction module to be reflected by fundus; the multiple beams of reflected light carry respective small-view-field human eye aberrations, pass through the aberration correction module and are reflected by the first spectroscope to reach the confocal detection module; the confocal detection module collects small-view-field human eye aberration of the multiple beams of reflected light to generate multiple image signals and evaluates the aberration according to the quality of the multiple image signals so as to generate feedback signals to drive the aberration correction module to carry out aberration correction on the multiple beams of reflected light at the same time until the system reaches the diffraction limit. The large-view-field high-resolution fundus imaging system can synchronously correct aberration of different view fields, the aberration correction time is shortened, and the overall imaging speed is increased.

The invention provides a mine water softening and dosing system and a control method, and belongs to the technical field of water treatment equipment, and the mine water softening and dosing system comprises water treatment equipment, a detection mechanism, an adjusting mechanism and a control unit. Through cooperation of the detection mechanism and the control unit, feed-forward detection and feed-back detection of softening treatment of mine water are achieved, and the control unit can achieve determination of the initial feeding amount of drugs and adjustment of subsequent feeding according to the feed-forward detection and the feed-back detection; the flow, alkalinity and pH value of inlet water and outlet water as well as the turbidity and alumen ustum image of the outlet water are detected at the same time, and the control system can comprehensively sense the water quality change and the treatment effect according to the detection result, so that the refined and automatic adjustment of the addition of various medicaments is realized, the dependence on human eye observation and manual test is reduced, and the operation is simple and convenient. The intelligent level and the operation efficiency of the whole water treatment process are improved.

This invention is an optical structure with a plurality of movable reflective elements. These reflective elements have first configurations which allow transmission of environmental light. These reflective elements have second configurations which block (or reduce) transmission of environmental light and which reflect light from a virtual-object display toward a person's eye. This enables display of a relatively-opaque virtual object in an area of a person's field of view, while providing the person with a relatively-clear view of their environment in the rest of their field of view.

The invention discloses a twisted pair crimping system and a twisted pair crimping method. The twisted pair crimping system comprises a cable clamp used for clamping and fixing a twisted pair, and each conductor core of the twisted pair comprises a plurality of conductive wires twisted together; the moving device is used for moving the cable clamp and the twisted pair in the horizontal direction perpendicular to the axial direction of the twisted pair; and the artificial intelligence visual device is arranged at the detection station and can simulate human eyes to identify the actual number of the conductive wires of each conductor core of the twisted pair. And when the artificial intelligence visual device recognizes that the actual number of the conductive wires of the conductor core is not equal to the preset number, the artificial intelligence visual device judges that the twisted pair is unqualified. According to the invention, the artificial intelligence visual device can simulate human eyes to identify the actual number of the conductive wires in the conductor core of the twisted pair. Therefore, whether the quality of the twisted pair is qualified or not can be judged in advance according to the identified actual number of the conductive wires in the conductor core, and the quality of the twisted pair product is improved.