67 results about "Eyes vision" patented technology

The invention discloses an environment modeling method and system for realizing intelligent security and protection, and relates to the technical field of intelligent security and protection, and the method comprises the steps: collecting a visual image and depth data of a monitoring region, and generating a monitoring scene feature matrix; performing hierarchical feature extraction on the monitoring scene feature matrix by using a deep convolutional neural network, and constructing a scene semantic feature map; projecting the scene semantic feature map to a three-dimensional monitoring space according to the depth data, and constructing a three-dimensional scene grid model; extracting spatial topological characteristics of each grid node in the three-dimensional scene grid model, and calculating association weights among the grid nodes; and constructing a scene dynamic knowledge graph based on the spatial topological features and the associated weights, and carrying out modeling analysis on abnormal events. According to the method, through cooperative collection of the multi-view vision sensor and the depth sensor, in combination with information entropy weighted standardization and principal component analysis, accurate generation of the monitoring scene feature matrix is realized, and the problems of information redundancy and feature coupling in traditional vision data processing are effectively solved.

The invention is applicable to the technical field of agricultural automation equipment, and provides an Ackerman mobile picking robot based on double-vision collaboration, which comprises an Ackerman chassis, a six-degree-of-freedom mechanical arm, a power supply, a power supply and a control system, and further comprises a power supply system, a power supply system, a power supply system and a control system, and the six-degree-of-freedom mechanical arm is provided with a shear type end effector; the global vision module is mounted at the front end of the Ackerman chassis through a two-dimensional holder; the hand-eye vision module is fixedly mounted on the shearing type end effector; and the control unit is integrated in the industrial personal computer. The device has both efficiency and precision, has strong error compensation capability, is reasonable in structure and good in adaptability, and has strong anti-interference capability.

The invention discloses a method for designing a myopia prevention and control lens based on harmonic diffraction. Relates to the technical field of eye vision optics, in particular to the technical field of a myopia prevention and control lens design method based on harmonic diffraction. According to the method, a harmonic diffractive optical lens chromatic aberration correction method and a harmonic diffractive optical lens diffraction efficiency calculation method when shielding is considered are firstly designed, chromatic aberration is effectively eliminated, the diffraction efficiency is evaluated, and then influences of chromatic aberration correction and shielding error manufacturing are balanced by designing a balance optimization model. The method comprises the following steps: designing a diffractive optical element on the refraction surface of a myopia prevention and control lens to obtain a refractive and diffractive optical lens; modulating the harmonic number # imgabs0 # of the refractive and diffractive optical lens to obtain a harmonic diffractive optical lens; designing a chromatic aberration correction method of the harmonic diffractive optical lens; harmonic diffractive optical lenses are designed that take into account additional refractive power and diffraction efficiency at the time of manufacturing shields.

Users exploiting near-to-eye (NR2I) displays for augmented reality and / or correction of low vision are typically wearing these NR2I displays for specific tasks or for extended periods of time, potentially all their time awake. Conflicting tradeoffs between user comfort and minimal fatigue and strain during use, ease of attachment, minimizing intrusiveness and aesthetics should be concurrently balanced with providing an optical vision system that provides the user with a wide field of view, high image resolution, and a large exit pupil for eye placement with sufficient eye clearance. Accordingly, embodiments of the invention provide NR2I displays meeting these conflicts whilst also addressing the inherent variations between user in respect of their head dimensions, head and eye geometry, as well as adapting the displayed content to reflect the user's task at-hand, visual defects or degradations, visual focus and intent upon various regions-of-interest within their field of view. Such HMDs providing enhanced user experiences.

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 near-ground distance measurement method based on virtual large baseline four-eye vision, a medium and equipment, and the method comprises the steps: synchronously obtaining four images when a lifting appliance enters a near-ground operation range; based on the calibration relation between the cameras, the high-altitude images are respectively projected and transformed to the visual angles of the corresponding lifting appliance cameras and fused, two virtual camera images are generated, and therefore a virtual large base line far exceeding the physical distance is constructed; performing three-dimensional correction and cutting on the virtual image pair to obtain a row-aligned three-dimensional image pair; performing feature matching and triangulation on the virtual image pair to generate a sparse reference depth map; and inputting the stereo image pair and the sparse depth map into a pre-trained depth estimation neural network model together, outputting a dense depth map, and converting the dense depth map into a coordinate system taking the lifting appliance as an original point to obtain a vertical distance. According to the invention, the ultra-large baseline is virtually synthesized by using the existing camera, the remote distance measurement precision is improved, the cost is low, and the reliability is high.

A method for measuring channel flow based on bionic eagle-eye vision and an apparatus thereof are provided. The method includes: acquiring a channel flowing video, and carrying out image frame interval extraction on the channel flowing video to obtain a target observation image; calculating an optical flow value of the target observation image, and calculating a surface flow velocity value of the target observation image in a world coordinate system based on position change information of the optical flow value of the target observation image between image frames and a spatial resolution of the target observation image; acquiring an average cross-section flow velocity based on a pre-trained surface cross-section flow velocity coupling model, and calculating the channel flow based on the average cross-section flow velocity and a cross-section water level value.

The invention discloses a robot bolt assembling method and device based on multi-view vision and force sense cooperation, and belongs to the technical field of intelligent control and industrial automation. According to the method, the positions and poses of an assembled workpiece and a threaded hole are perceived cooperatively through global vision and hand-eye vision, a decision module comprehensively processes multi-source vision information, a motion control instruction is generated, and a mechanical arm is guided to complete coarse positioning and fine positioning before assembly. In the assembling process, the force sense sensing module obtains contact force and moment information in real time, the decision making module dynamically adjusts the posture of the tail end of the mechanical arm based on force sense feedback and a force control algorithm, and posture alignment of the bolt and the threaded hole is achieved. And after alignment is completed, the end effector is rotated to drive the bolt to be screwed into the threaded hole under the condition that the tail end posture is kept stable, and assembling operation is completed. The bolt assembling precision and stability are improved, and the method is suitable for multi-specification bolts and complex assembling environments.

The present application aims to provide a kind of UAV small target detection method inspired by hawk eye vision mechanism, comprising the following steps: A, construct neural network, the neural network includes Backbone network, Neck network module, Head network module;The DFB module is applied in the Backbone network module to simulate the deep foveal structure of hawk eye, and the SFB module is applied to simulate the shallow foveal structure of hawk eye;B, original image is input into Backbone network module, and the resulting processing result is input into Neck network module respectively;C, multi-scale feature fusion is carried out on input feature in Neck network module, two different resolution feature layers are obtained, and are input into Head network module for detection respectively, a series of detection frame and category data are obtained, i.e. final result.The present application method can efficiently extract the feature information of micro target, and accurately locate target in complex scene.

The invention discloses an eye vision light health management system, and relates to the technical field of vision health management systems, the system specifically comprises data management and service management, the data management comprises a data acquisition module, a data processing module, a data identification module and a data transmission module, and the service management comprises tour service, store arrival service and remote service. According to the eye vision light health management system, through cooperation of the data acquisition module, the data processing module, the data identification module and the data transmission module, a detection mode of integrating intelligent wearable equipment and an eye vision light detection instrument to detect key indexes of vision data, intraocular pressure and diopter of a patient is adopted, a single detection mode is replaced, and meanwhile, the detection efficiency is improved. The integration of the intelligent wearable device and the eyesight light detection instrument also saves the step of manual recording of the detection data by the staff, thereby improving the accuracy of the eyesight detection data of the patient.

The invention relates to the technical field of unmanned aerial vehicle detection, in particular to a drowning person unmanned aerial vehicle detection system and method of an eagle-eye-imitating vision enhancement mechanism. Comprising an eagle-eye-imitating vision enhancement mechanism module which is used for preprocessing an image acquired by an unmanned aerial vehicle; the FCOS target detection module is used for carrying out target detection on the preprocessed image by adopting an FCOS algorithm; the multi-feature fusion module is used for collecting visual, infrared and motion features and fusing the visual, infrared and motion features, and inputting the output fused features into the FCOS target detection module for target detection; the unmanned aerial vehicle control module receives the detection result and dynamically adjusts flight parameters and shooting parameters of the unmanned aerial vehicle; and the unmanned aerial vehicle execution module drives the unmanned aerial vehicle to adjust the flight attitude and the camera to shoot, feeds back data and parameters in real time, and constructs closed-loop connection of hardware execution and algorithm optimization. According to the scheme, the accuracy, environment robustness and real-time performance of detection of people falling into water can be improved, the unmanned aerial vehicle is assisted to quickly position a falling target, and time is won for rescue.

The utility model provides a test lens for amblyopia correction, which comprises a carrier provided with a plurality of light-transmitting parts arranged at intervals; the additional part is arranged on the light-transmitting part and is used for blurring the light-transmitting part so as to depress the dominant eye vision of the patient; additional pieces with different suppression degrees are correspondingly arranged on the different light-transmitting parts, and the suppression degrees of the additional pieces are gradually increased in the arrangement direction of the light-transmitting parts. According to the utility model, the plurality of additional parts with different depression degrees are arranged on the carrier, so that the requirements of different patients on vision conditions can be met, the vision test of the patients is facilitated, and meanwhile, the plurality of additional parts with different depression degrees are integrated on one carrier, so that the structure integration is realized, the operation of a user is facilitated, and the test efficiency is improved.

The invention discloses a diopter prediction system and equipment for adjusting static diopter, relates to the technical field of diopter prediction, and aims to solve the problem of low accuracy of predicting and adjusting static diopter in the prior art. The device comprises a refraction detection light path unit used for processing a first reflection light beam to obtain refraction detection data; the corneal curvature detection light path unit is used for processing the second reflected light beam to obtain corneal curvature detection data; the eye axis length detection light path unit is used for processing the third reflected light beams with different phases to obtain eye axis length detection data; the vision detection unit is used for processing according to the fed-back sighting mark detection signal to obtain vision detection data; the data summarization unit is used for summarizing the data to obtain eye vision light summarized data and acquiring basic information of the current subject; and the diopter prediction unit is used for inputting the data of the data summarization unit into a diopter prediction model constructed based on a preset prediction factor so as to determine the predicted diopter of the current adjustment static state.

The invention discloses eye-protecting TFT (thin film transistor) liquid crystal panel glass, a preparation method and a liquid crystal display screen, and the preparation method comprises the following steps: cutting white glass, performing edging and chemical strengthening treatment to form TFT liquid crystal panel glass, and cleaning the TFT liquid crystal panel glass; manufacturing five liquid crystal display film layers on the inner side of the cleaned TFT liquid crystal panel glass; eight optical film layers which are stacked layer by layer and are different in thickness are designed on the outer side of cleaned TFT liquid crystal panel glass, optical film coating of the TFT liquid crystal panel glass is completed, the transmissivity of the TFT liquid crystal panel glass obtained after film coating is made to be larger than or equal to 94.5%, and the illumination perspective wavelength range is 630-750 nm. The eye-protecting TFT liquid crystal panel glass is prepared by the preparation method. The liquid crystal display screen comprises the eye-protecting TFT liquid crystal panel glass. The liquid crystal display screen of the prepared TFT liquid crystal panel glass has a good eye protection effect, so that the eyes can see display devices and the display screen more clearly and more easily, the eyes are better protected, the naked eye vision is improved, the blood circulation is accelerated, and the vision is healthier.

The invention discloses an AI-based eye vision optical medical record automatic generation and correction system which comprises a core processing unit, and the output end of the core processing unit is in electric signal connection with a data acquisition module, a semantic analysis module, a dynamic correction module, a data synchronization module and a user interaction interface. And the output ends and the input ends of the data acquisition module, the semantic analysis module, the dynamic correction module, the data synchronization module and the user interaction interface are in bidirectional electric signal connection with the input end and the output end of the core processing unit. According to the AI-based visual optical medical record automatic generation and correction system, a data acquisition module is arranged, specific structured data in the visual optical field is connected through a structured data interface, and meanwhile, free text information input by a doctor is obtained through an unstructured data interface; and the real-time data flow interface is combined to realize real-time acquisition of dynamic data of the patient, so that comprehensive integration of multi-source heterogeneous data is realized, and a complete data basis is provided for subsequent medical record generation.

The application discloses a near-ground ranging method based on virtual large baseline four-eye vision, a medium and equipment, the method synchronously acquires four images when a spreader enters a near-ground operation range; based on a calibration relationship between cameras, high-position images are respectively projected and transformed to a visual angle of a corresponding spreader camera and fused to generate two virtual camera images, so that a virtual large baseline far beyond a physical distance is constructed; virtual image pairs are subjected to stereo correction and cutting to obtain row-aligned stereo image pairs; feature matching and triangulation are performed on the virtual image pairs to generate a sparse reference depth map; the stereo image pairs and the sparse depth map are jointly input into a pre-trained depth estimation neural network model to output a dense depth map, and the vertical distance is obtained in a coordinate system with the spreader as an origin. The application utilizes existing cameras to virtually synthesize an ultra-large baseline, improves long-distance ranging precision, and is low in cost and high in reliability.

The utility model relates to the technical field of vision measurement, in particular to an eye vision measurement device which comprises a base, a stand column is fixedly installed in the middle of the top end of the base, an installation base is fixedly installed at the top end of the stand column, and a lampshade is movably installed over the top end of the installation base. A measuring mechanism is arranged on the front face of the lampshade, and a lighting mechanism is arranged in the lampshade. Protection mechanisms are arranged on the two sides of the mounting base and the lampshade, and a driving mechanism matched with the protection mechanisms is arranged in the stand column. Through the color switching function of the RGBW lamp tube, dual functions of vision degree measurement and color blindness detection are realized, a user can complete comprehensive vision health assessment only by using one device, other equipment does not need to be additionally purchased or used, and the use convenience and efficiency are greatly improved.

The invention belongs to the technical field of eye vision optics, and relates to a scanning type human eye peripheral aberration measuring system and method based on wavefront sensing. The system comprises a measuring light path, an off-axis scanning structure, a full meridian scanning structure, an echo light beam restraining and folding lens group, a conjugate adjusting structure, a sighting mark module, an aligning and imaging module and a control and communication system. The off-axis scanning structure comprises a galvanometer and a linear displacement mechanism, and through the linkage of the position and the angle of the galvanometer, the incident main light enters the entrance pupil center of the detected eye at different off-axis angles; in the full meridian scanning structure, a rotating table drives a front structure to rotate around a system main shaft; echo beams enter a rear fixed light path through the center of the rotary table via the reflector. According to the system, full meridian, large off-axis angle and programmable path human eye peripheral aberration measurement can be realized under the condition that the head and eyeballs of a subject do not need to move, and the system has the advantages of compact structure, small additional aberration, high measurement precision and efficiency and the like.

The invention relates to the technical field of robot vision and advanced man-machine interaction, in particular to an imaging and human eye mapping method and system based on a multi-degree-of-freedom bionic eye platform, which can realize high-precision and real-time matching of a bionic eye vision system and a human eye vision system. Based on the multi-degree-of-freedom bionic eye platform, compared with a binocular camera commonly used in the prior art, the multi-degree-of-freedom bionic eye platform has more degrees of freedom and is more flexible, and the bionic eye joint angle and the human eye motion parameters are directly associated through the trigonometric function relation for the first time. And meanwhile, the eyeball rotation angle is calculated by using the optical axis direction vector of the rotation matrix, so that the accuracy of biokinematics is ensured.

The invention discloses an RFPA four-dimensional professional examination method, which comprises a first examination module (referred to as R for short) for examining monocular and binocular near and far vision of a patient in a natural state to obtain a first examination result; the second examination module (Fusion for short) is used for examining the far and near image fusion condition of the patient according to the first examination result to obtain a second examination result; and the third examination module (Phoria for short) is used for examining the far and near eye position conditions of the patient according to the second examination result to obtain a third examination result. The method is reasonable in design, the simple visual function four-step inspection method is used, the situations and problems of the eye ametropia problem, the image fusion function problem, the strabismus and adjusting function of a patient can be rapidly and accurately inspected, and a basis is provided for accurately correcting the visual abnormality problem of the patient.

The present invention relates to a dual-manipulator grasping system control method based on multi-eye vision, including: building an anthropomorphic dual-manipulator, the anthropomorphic dual-manipulator is provided with a plurality of joint steering gears and a development board for controlling the working state of each joint steering gear; building a three-eye vision recognition and analysis system, the three-eye vision recognition and analysis system includes a three-eye vision camera for collecting different visual images of the target object, the three-eye vision camera is connected to a processor, the processor is used to perform image recognition analysis, and calculate and output control instructions of each joint steering gear of the dual-manipulator; the processor transmits the control instruction to the development board, and then controls the dual-manipulator to complete the grasping operation of the target object accordingly. Compared with the prior art, the present invention can realize the precise positioning and identification of the target object, and can control the dual-manipulator to perform efficient and accurate single-arm grasping operation or dual-arm collaborative grasping operation for different targets.

The invention discloses eye-protecting TFT (thin film transistor) liquid crystal panel glass, a preparation method and a liquid crystal display screen, and the preparation method comprises the following steps: cutting white glass, performing edging and chemical strengthening treatment to form TFT liquid crystal panel glass, and cleaning the TFT liquid crystal panel glass; manufacturing five liquid crystal display film layers on the inner side of the cleaned TFT liquid crystal panel glass; six optical film layers which are stacked layer by layer and are different in thickness are designed on the outer side of cleaned TFT liquid crystal panel glass, optical film coating of the TFT liquid crystal panel glass is completed, the transmissivity of the TFT liquid crystal panel glass obtained after film coating is made to be larger than or equal to 94.5%, and the illumination perspective wavelength range is 630-750 nm. The eye-protecting TFT liquid crystal panel glass is prepared by the preparation method. The liquid crystal display screen comprises the eye-protecting TFT liquid crystal panel glass. The liquid crystal display screen of the prepared TFT liquid crystal panel glass has a good eye protection effect, so that the eyes can see display devices and the display screen more clearly and more easily, the eyes are better protected, the naked eye vision is improved, the blood circulation is accelerated, and the vision is healthier.

1. The name of the design product: naked eye 3D system vision training instrument (SK-JS03). 2. The use of the design product: for naked eye 3D system to guide eye vision training, vision care. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of three-dimensional measuring equipment, in particular to multi-view three-dimensional measuring equipment for complex parts, which comprises a workbench, a measuring table and a longitudinal support are mounted on the workbench, the measuring table is used for placing the complex parts, and a transverse support is mounted on the longitudinal support. A first measuring assembly facing the complex part is installed on the transverse support, a second measuring assembly facing the complex part is installed on the longitudinal support, at least one of the first measuring assembly and the second measuring assembly is provided with a polarization assembly, and the polarization assembly is used for eliminating reflected light of the complex part in the three-dimensional measuring process. According to the invention, through the synergistic effect of the polarization assembly and the adjustment of the double reflectors, the measurement error caused by light reflection is avoided, the detection limitation of deep holes and irregular holes is broken through, reliable technical support is provided for comprehensive and accurate three-dimensional measurement of complex parts, and the measurement precision is improved. The problem that in the prior art, effective data cannot be obtained due to light reflection and deep holes of parts, and the measurement accuracy of the parts is directly affected is solved.

A system for correcting vision in an eye that uses a premium, customized IOL, the system comprising: (1) optical aberrometer means for measuring wavefront aberrations of the eye; (2) computer means for designing a wavefront-customized correction profile for the IOL; (3) manufacturing means for creating a customized IOL with the wavefront-corrected profile; and (4) surgical means for implanting the customized IOL in the eye. Alternatively an uncorrected IOL is first implanted and aligned in the eye, followed by in-situ scanning a femtosecond laser spot across the implanted IOL to locally change an index of Refraction of the IOL material in-situ.

1. Name of the design product: Four-eye vision module. 2. Use of the design product: It is used to interact with the flight control of an unmanned aerial vehicle, enabling the unmanned aerial vehicle to have navigation and positioning functions under satellite-free conditions. 3. Design key points of the design product: Lies in the shape. 4. Picture or photo that best shows the design key points: Perspective view 1.

The invention relates to a reverse visual training device based on multispectral dynamic stimulation and a training method thereof. The training device comprises a display device and a hyperopia lens device, the display device comprises a main control board and a display screen which are connected with each other; the hyperopia lens device is of a replaceable lens structure design and is provided with a plurality of hyperopia lenses with different hyperopia degrees; the main control board is used for controlling the display screen to play dynamic sighting mark sequences of four colors of red, blue, green and white, and adjusting the display screen to display the dynamic sighting mark sequences according to a feedback result of a trainer; during visual training, the display screen is placed at a position which is a set distance away from a trainee, the trainee wears the hyperopia lens device and is provided with hyperopia lenses for setting hyperopia degrees, the main control board controls the display screen to play dynamic sighting mark sequences of four colors of red, blue, green and white, and the trainee carries out visual training by observing the dynamic sighting marks and carrying out feedback. According to the technical scheme, the naked eye visual training effect can be improved.

An IOL includes an optic having an anterior optic surface configured to receive light passing into an eye in which the IOL is implanted and a posterior optic surface opposite the anterior surface. The IOL includes at least one of refractive and diffractive structures configured to improve vision of the eye. A metasurface is configured to reduce reflection in the human visible spectrum from the anterior surface. The IOL further may further include a peripheral portion surrounding the optic, a metasurface may additionally or alternatively be formed on a peripheral portion and be configured to act as a filter to reduce transmission in the human visible spectrum into the peripheral portion through a peripheral anterior surface of the peripheral portion.

The invention relates to the field of intelligent medicine, and discloses an eye vision light prediction method and device based on multi-scale perception, a medium and a program product. Comprising the steps of obtaining eye vision light data; inputting the eye vision light data into a multi-scale perception feature extraction network to extract features to obtain multi-scale features; and multiplying the multi-scale features by a weight matrix to simulate local and global receptive fields to obtain detail features, finally performing multi-task loss constraint on feature depth interaction, derivative feature construction and unified feature fusion, and predicting the myopia condition of the patient. According to the method, the defect that the internal relation of an eyeball optical system is neglected in the prior art can be overcome, and the accuracy, robustness and clinical interpretability of a prediction model are remarkably improved by introducing multi-task constraints.