406 results about "Optical distortion" patented technology

The present disclosure relates to the technical field of optics, and particularly relates to an optical lens and an electronic device. The optical lens of the present disclosure comprises an aperture stop and a plurality of lens units which are sequentially and coaxially arranged from an object side to an image side; a plurality of lens units are provided on the side of the aperture stop facing the object side, forming a stop front lens unit group; a plurality of lens units are provided on the side of the aperture stop facing the image side, forming a stop rear lens unit group; the number of lens units of the stop front lens unit group is the same as the number of lens units of the stop rear lens unit group, symmetrically offsetting distortion, thereby facilitating reduction of optical distortion of the optical lens; and the stop front lens unit group has negative refractive power, the stop rear lens unit group has positive refractive power, and the stop front lens unit group and the stop rear lens unit group form aberration compensation to improve the imaging performance of the optical lens. The lens unit closest to the object side has positive refractive power to converge large-angle off-axis beams, achieving a large field of view angle of the optical lens and reducing a clear aperture of an optical path at the same time, thereby achieving miniaturization of an optical path structure.

The invention discloses a water level prediction model construction method based on image recognition, and relates to the technical field of water level monitoring. Comprising the following steps: establishing a visual reference system of a region, constructing a multispectral image data fusion module, constructing a water surface edge detection module, designing an anomaly detection mechanism based on self-supervised learning, constructing a water level height estimation model based on image semantic segmentation, and constructing a water level distribution prediction model combined with geographic information. A data feedback model based on meteorological dynamics is constructed, and a water level trend estimation module based on short-term time sequence prediction is introduced. According to the method, a water level prediction model is constructed by introducing technologies of multispectral image fusion, semantic segmentation and dynamic height estimation, and accurate extraction and prediction of water level information are realized under various environmental conditions. The robustness of the model under complex weather conditions is remarkably improved, and meanwhile, the problem of deviation caused by different visual angles and optical distortion is solved through dynamic adjustment factors and a geometric correction mechanism.

The invention belongs to the technical field of lens calibration, and particularly discloses and provides an optical lens production intelligent calibration system which comprises an environment coupling module, an optical detection module, a self-adaptive calibration decision module and an automatic focusing adjustment module. According to the invention, various environmental data are collected in real time through the environmental coupling module to form a time-space correlation parameter set, so that a basis is provided for suppressing environmental interference; the optical detection module generates a dynamic target sequence and synchronously acquires various parameters of the lens, so that a calibration path can be dynamically optimized; the adaptive calibration decision module not only can establish a mapping relation between environment and optical distortion, but also can calculate a focusing adjustment parameter based on multiple parameters when an error exceeds a threshold value; and the automatic focusing adjustment module controls the focusing device in real time according to the adjustment parameters and verifies the adjustment parameters, so that sorting and recalibration of qualified and unqualified lenses are realized, the calibration accuracy is comprehensively improved, and the scene adaptability of an AF algorithm is enhanced.

A method of identifying road distress on a road based on imagery of the road is disclosed. The method is performed by a processor and comprises the steps of: identifying a region of interest from road regions detected in the imagery of the road; detecting one or more road distresses present in the region of interest by identifying features associated with physical characteristics related to road distress in an original image comprising the region of interest; detecting one or more road distresses present in the region of interest by identifying features associated with physical characteristics related to road distress in a corrected image obtained by applying at least one of optical distortion correction and perspective distortion correction to the original image comprising the region of interest; and identifying one or more road distresses by combining the detection based on the original image and the detection based on the corrected image. Unlocking insights from Geo-Data, the present invention further relates to improvements in sustainability and environmental developments: together we create a safe and liveable world.

The invention belongs to the technical field of image data processing, and discloses a beverage package defect visual detection method and system, and the method comprises the steps: firstly, shooting a defect-free beverage package sample under a preset scene, and building a standard image library; then collecting and preprocessing a to-be-detected package image, obtaining a package model, and selecting a corresponding reference image from the standard image library; the detection image and the reference image are registered, difference is carried out to obtain a difference image, and enhancement processing is carried out on the difference image; and performing threshold processing on the enhanced image to extract an abnormal region, analyzing features of the abnormal region to determine the position and size of a defect, and generating a detection result report. According to the method, the optical distortion effect of the transparent package on the background pattern is analyzed, invisible defects are converted into detectable background changes, different enhancement strategies are adopted for different types of areas, the defect detection problem of the transparent package is effectively solved, and the detection sensitivity and accuracy are improved.

The invention relates to the field of microscopic imaging, and discloses a miniature microscopic system optical precision improvement and image calibration error optimization method, which comprises the following steps: establishing an optical distortion model and a mechanical disturbance model, and respectively describing a static error and a dynamic error; constructing a joint dynamic error model, and uniformly expressing a coupling relationship between optical distortion and mechanical disturbance; decoupling and separating the joint error through a space-time separation method to obtain a static error component and a dynamic error component; performing iterative optimization on the optical distortion parameter and the mechanical disturbance parameter based on an optimization algorithm to minimize a system calibration error; a real-time sensor is utilized to obtain dynamic disturbance data, and real-time dynamic compensation is performed on an image calibration error in combination with an optimization result, so that a high-precision calibration result is obtained. The method can effectively improve the calibration precision of the microscopic system in a dynamic environment, remarkably improves the imaging quality of the system, and has a wide application prospect.

The invention relates to the field of chip production, and mainly relates to a visual system compensation method and device in a high-temperature environment and a storage medium, and the method comprises the following steps: S1, obtaining a visual system input image in the high-temperature environment; s2, detecting an image through an image processing algorithm; s3, the detected visual distortion is compensated; and S4, post-processing the compensated image, and outputting a final image. According to the invention, an image processing algorithm is adopted to detect visual distortion caused by a high-temperature effect in an image, a compensation model is introduced, and visual characteristic data of the model based on a high-temperature environment is trained, so that thermal deformation and optical distortion of an optical system, equipment offset and alignment errors caused by high temperature are compensated; the visual system is an effective method capable of realizing image quality compensation, optical deformation correction and alignment error in a high-temperature environment.

The invention provides an underwater robot obstacle avoidance system based on object capture. The method comprises the steps of collecting spatial visual information in a target area where the underwater robot is located in real time; acquiring multi-modal environment data in a target area where the underwater robot is located; constructing polarized light data in the multi-modal environment data into a water body scattering model by adopting a Mueller matrix to correct optical distortion in spatial visual information; acquiring a real-time motion state of the underwater robot through an inertial measurement unit; acquiring water flow disturbance data of the underwater robot, and correcting position drift caused by water flow disturbance in a real-time motion state by combining a water body flow model with the water flow disturbance data acquired in real time; constructing a dynamic risk field corresponding to the target area based on the spatial visual information, the corrected real-time motion state and sonar ranging data in the multi-modal environment data; and generating an obstacle avoidance strategy of the underwater robot in a future preset time period based on the dynamic risk field so as to realize dynamic obstacle avoidance.

The invention relates to the technical field of carton production detection, and discloses a carton production line intelligent detection system comprising an industrial camera module used for collecting carton appearance images; the dynamic speed sensor is used for monitoring the conveyor belt speed; the mechanical vibration sensor is used for detecting vibration interference of the conveyor belt; the image processing module is used for correcting and analyzing the acquired image; the control module is used for feeding back and controlling the detection result in real time; and the storage module is used for data storage and model training. Through dynamic multi-physical coupling modeling, the influence of optical distortion, speed fluctuation and vibration interference on size detection is comprehensively considered. Through a distributed optimization algorithm and a real-time feedback control mechanism, various errors in a dynamic environment are effectively compensated, the size detection precision reaches the micron level, a high-speed sensor and an industrial camera module are adopted for data acquisition, a detection algorithm is optimized through a distributed parallel computing technology, and the size detection precision is improved. And the response time of the system is controlled within milliseconds.

The invention discloses a deviation rectification control method and system for simulating shield excavation, and relates to the technical field of shield control. The deviation rectification control method and system for simulating shield excavation comprise the steps that S1, shield deviation rectification data are collected in real time, and the shield deviation rectification data are preprocessed; s2, extracting an attitude deviation component, comprehensively evaluating environmental drift and optical distortion influence of attitude deviation, and generating each calibrated attitude angle; s3, all the calibrated attitude angles are read, attitude correction required values in all directions are calculated in combination with the laser target deviation value, the dynamic fluctuation degree of the execution process is quantified, and the target stroke of the deviation correction oil cylinder is obtained; and S4, the target speed is calculated, a deviation rectification control instruction is generated and issued for execution, a deviation rectification execution data set is formed, and a deviation rectification control closed loop is completed. The problems that an existing system lacks an automatic calibration and anomaly recognition mechanism, sensing data distortion still participates in deviation correction control, PLC attitude calculation errors are accumulated, and false deviation correction is generated are solved.

The invention relates to an optical distortion test system and method. According to the method, a light source assembly is used for outputting projection light; the target assembly is fixed in front of the projection light output end of the light source assembly. The to-be-tested assembly is located on the side, away from the light source assembly, of the target assembly and connected with the adjusting assembly. The adjusting assembly comprises a pitching adjusting sub-assembly, a horizontal adjusting sub-assembly, a height adjusting sub-assembly and an inclined sub-assembly, the pitching adjusting sub-assembly is used for ensuring that the to-be-detected assembly is perpendicular to the projection optical axis, and the horizontal adjusting sub-assembly and the height adjusting sub-assembly are used for ensuring that the optical center of the to-be-detected assembly is coaxial with the projection optical axis and the lens center of the detection assembly; the inclined sub-assembly is used for adjusting a space angle between an optical central axis of the to-be-detected assembly and a projection optical axis of the light source assembly so as to detect edge distortion of the to-be-detected curved surface element; the detection assembly is located on the side, away from the to-be-detected assembly, of the adjusting assembly and used for shooting a projection image of the target assembly which generates distortion after being acted by the to-be-detected assembly.

The invention discloses an electric arc three-dimensional reconstruction system and method based on binocular vision. The system comprises a double-camera image acquisition module, a correction module, a boundary contour point extraction module and a three-dimensional reconstruction module. The dual-camera image acquisition module completes dual-camera parameter calibration and dual-vision arc image shooting operation at different positions; the correction module corrects an optical distortion area and a breakpoint area of the double-vision arc image to obtain a corrected double-vision arc image; the boundary contour point extraction module adopts a third-order Bezier curve to perform segmentation fitting on the boundary contour of the corrected double-vision arc image to obtain continuous double-vision arc boundary points; and the three-dimensional reconstruction module reconstructs a three-dimensional contour line of the electric arc through a triangulation method according to the camera calibration parameters and the double-vision electric arc boundary points, and generates a corresponding three-dimensional point cloud data set. According to the method, the distortion and breakpoint phenomena of the arc image can be repaired, and high-precision reconstruction of three-dimensional data of the arc is realized.

The prime lens comprises a front lens group, a diaphragm and a rear lens group which are sequentially arranged from an object side to an image side, the front lens group is sequentially provided with a first lens, a second lens and a third lens with negative focal power, negative focal power and positive focal power from the object side to the image side; the rear lens group is sequentially provided with a fourth lens, a fifth lens, a sixth lens and a seventh lens with positive focal power, negative focal power, positive focal power and positive focal power from the object side to the image side; wherein the fourth lens and the fifth lens are glued to form a doublet lens. The prime lens is composed of seven lens elements, the number of the lenses is reasonable, the structure is simple and compact, the focal power and the position of each lens element are reasonable, the environment adaptability is high, and the resolving power is high; due to the design of the large field angle and the large image height, the lens system has higher competitiveness in the market. The aperture number FNO of the prime lens is 2.50, the field angle is 138 degrees, the imaging height can be matched with a 1 / 1.8 inch chip, the total optical length is not larger than 24.0 mm, the optical distortion absolute value is smaller than 40%, and the requirement for ultra-high-definition imaging is met.

The invention provides an embedded image enhancement method and system for a large-target-surface image sensor. According to the method, temperature gradient distribution and environment humidity data of a large-target-surface image sensor are collected, and an environment parameter matrix and a temperature noise mapping model are constructed in an associated mode; and correcting optical distortion of the incident light signal by using the liquid crystal modulator array, and outputting an original image. Then through a double-path module, a main path extracts noise features, and an auxiliary path separates color shift features caused by humidity; and verifying the physical consistency of the characteristics based on a thermodynamic equation and screening effective data. And finally, dynamically optimizing the image contrast, the dynamic range and the target details by the embedded processor, and outputting an enhanced image. Through environmental parameter modeling, dual-path feature separation and physical verification, temperature and humidity interference is effectively suppressed, and detail enhancement and color fidelity of the large-target-surface image sensor are improved.

The invention belongs to the technical field of optics, and particularly relates to an optical lens and electronic equipment. The optical lens comprises an aperture diaphragm and a plurality of lenses which are sequentially and coaxially arranged from an object side to an image side, the side, facing the object side, of the aperture diaphragm is provided with the plurality of lenses, and a diaphragm front lens group is formed; one side, facing the image side, of the aperture diaphragm is provided with a plurality of lenses to form a diaphragm rear lens group; the number of the lenses of the diaphragm front lens group is the same as that of the lenses of the diaphragm rear lens group, and distortion is offset symmetrically, so that reduction of optical distortion of the optical lens is facilitated; the diaphragm front lens group has negative focal power, the diaphragm rear lens group has positive focal power, the diaphragm front lens group and the diaphragm rear lens group form aberration compensation, and the imaging performance of the optical lens is improved. The lens closest to the object side has the positive focal power so as to converge off-axis light beams with a large angle, the large field angle of the optical lens is achieved, meanwhile, the clear aperture of a light path is reduced, and then miniaturization of the light path structure is achieved.

A laser machining system comprises a laser generator (202) producing ultrafast laser pulses, a galvanometric scanner mirror (102, 204) for precision deflection of the laser beam (101), and a main unit (100) comprising a folded optical system with focusing optics (207, 210, 212, 214) capable of delivering the laser beam focused waist onto the surface of a elongated thin workpiece (103), for example, cylindrically-shaped, or having quadrilateral or mullitlateral or elliptic perpendicular cross-section. The main unit (100) is attached directly to the scanning mirror subsystem (102) and they both comprise the optical path, which is separated into several, e.g., four, equal paths terminating on the workpiece (103) surface from orthogonal directions covering the workpiece from opposite sides. The optical path in the main unit (100) is arranged in such a way that the paraxial optical mode remains valid at all reflecting mirrors, mitigating the optical aberrations of the focused beam onto the surface of the workpiece (103). With controlled deflection of the scanner mirror (204), the laser beam can access the full area of the outer surface of the workpiece (103) and process the workpiece (103) using controlled laser ablation or surface treatment using direct laser writing (DLW). The workpiece (103) is mounted into a translation stage perpendicularly to the laser beam, allowing free-form laser processing onto a cylindrically- or multilaterally-round elongated shape, by synchronized deflection (204) of the laser beam, and longitudinal translation of the workpiece (103) by the translation stage.

The invention discloses a method for adjusting an optical lens, and relates to the technical field of optical lens adjustment. The specific implementation process comprises the following steps: firstly, in combination with Hough linear transformation, a neighborhood fuzzy evaluation method and edge color change, comprehensively analyzing geometric distortion, fuzziness and chromatic aberration generated by a lens imaging result so as to obtain a distortion offset matrix, a fuzzy matrix and a color offset matrix; secondly, proposing a lens adjustment model based on a generative adversarial network, introducing an adversarial loss and cyclic loss optimization model, and further obtaining a lens adjustment pose matrix through a generator so as to adjust the position and angle of the lens; and finally, the adjustment accuracy is designed, so that the cyclic execution of the adjustment process is realized until the adjustment accuracy reaches a preset threshold value, the high definition of the image, the accurate color restoration and the reduction of optical distortion are ensured, and the adjustment precision and the imaging quality of the lens are improved.

The invention relates to the technical field of industrial vision, in particular to an automobile part surface defect detection method and system based on machine vision, and the method comprises the steps: firstly loading a CAD three-dimensional model, and rendering an ideal fringe reflection map in a virtual environment; calculating an optical distortion correction matrix by comparing the phase distortion with the phase distortion of an actual initial reflection image, driving a programmable light source to project a compensation pattern, and generating a normalized reflection intensity image; signal object decoupling is achieved through multi-scale wavelet transform, and high-frequency components and low-frequency components are separated; homomorphic filtering is applied to the low-frequency component to construct a homogenized background model, the high-frequency component is reversely corrected, and a high-signal-to-noise-ratio defect signal image is output; generating a coarse segmentation mask by the high-frequency signal through an adaptive local threshold, generating a morphology anomaly mask by the low-frequency signal through Hessian matrix morphological analysis, and fusing to form a collaborative segmentation mask; and extracting multi-dimensional geometric attributes of connected domains in the masks, and inputting the multi-dimensional geometric attributes into a decision tree to realize accurate classification and confidence output of defects.

The invention relates to the technical field of naked eye 3D display, in particular to a naked eye 3D real-time human eye pupil distance measuring and adjusting method, which comprises the following steps: S1, acquiring eye image data of a user in real time by using image acquisition equipment; s2, based on the eye image data collected in the S1, the center position of a pupil is recognized; s3, calculating the pupil distance between the left eye and the right eye according to the pupil center position identified in the S2; s4, adjusting image output parameters of the naked eye 3D display equipment according to the pupil distance calculated in the S3; and S5, tracking the eye movement information of the user in real time, and dynamically correcting the pupil distance calculation result according to the gazing area of the user to ensure that the naked eye 3D display equipment continuously adapts to the pupil distance requirement of the user. According to the method, the pupil distance of the user is measured in real time, and the parallax and optical distortion compensation of the display equipment are dynamically adjusted, so that personalized naked-eye 3D display experience is provided, and the accuracy and immersion of the display effect are effectively improved.

The invention discloses a design and implementation method of a near-infrared light-splitting super lens, and relates to the technical field of super lenses. The super lens is composed of a rotational symmetric structure, so that polarization insensitivity is achieved, incident broadband light can be dispersed to different positions of the same focal plane according to different wavelengths through ingenious optical design, an effective light splitting effect is achieved, and the polarization insensitivity of the super lens is improved by adjusting geometric parameters and shapes of the super lens nano structure units. The positions of light with different wavelengths on a focal plane can be accurately controlled; in the optimization process, a particle swarm optimization algorithm is adopted to reduce errors, and performance attenuation and optical distortion caused by dispersion can be effectively reduced by adjusting dispersion characteristics and geometric parameters of the nano-structure units, so that the precision and reliability of light splitting are improved, and the light splitting precision is improved. The identification capability of the laser detection system is greatly improved, and integration and miniaturization are realized.

The invention belongs to the technical field of spherical screen image processing, and particularly relates to an image processing system and method for suspension type spherical screen panoramic vision, and the system obtains the attribute and position information of a spherical screen and a plurality of projection devices through a spherical screen modeling module, constructs a spherical screen-projection integrated three-dimensional model, and precisely divides projection areas to correspond to the devices; the image processing module collects image sequences of different angles of the panoramic vision scene; the image splicing module uses feature point detection, a YOLO algorithm and a convolutional neural network to identify an overlapping region and discriminate a dynamic region, and obtains a dynamic pixel splicing line through a dynamic planning search algorithm; the image correction module constructs a projection mapping function, corrects geometric and optical distortion of the image, and optimizes a splicing effect through a splicing correction function; and finally, the multi-view output module projects the corrected image sequence to a corresponding area of the dome screen by using a plurality of projection devices, so that real-time dynamic splicing and monitoring are realized, and projection synchronization and image quality are ensured.

The invention relates to the technical field of intelligent visual detection, in particular to visual field detection equipment, system and method based on extended reality (XR), and the method comprises the steps that an image feature extraction module collects image data in real time, extracts features and eliminates optical distortion; the fixation deviation correction module analyzes eye movement data in real time, quantifies fixation deviation and triggers visual prompt and correction; the adaptive stimulation generation module dynamically encrypts to generate a test point image and adaptively adjusts the test point image according to visual field analysis and test requirements; the dynamic adjustment image module predicts and optimizes a test point presentation sequence according to image features and fixation points, automatically encrypts a high-probability defect area and quickly jumps to a key screening area; and the visual field defect identification module extracts image features, calculates the defect probability of each region in real time by using a Bayesian network in combination with subject response data, and locates a high-risk region. The system provides an efficient and accurate visual field detection scheme through the synergistic effect of multiple modules.

The invention discloses a star point coordinate extraction and star sensor attitude optimization method based on deep learning. The whole process of pseudo star map generation, star point coordinate extraction and attitude calculation is optimized. Multi-factor interference such as spacecraft jitter and optical distortion is simulated through dynamic star point modeling, and a high-fidelity pseudo star map is generated; a noise adaptive detection network is designed to fuse denoising and key point detection, and star point positioning precision in a low signal-to-noise ratio environment is improved; and optimizing attitude solution, constructing a loss function based on star point coordinates, and performing back propagation to optimize attitude parameters to realize an algorithm closed loop. According to the method, real data can be expanded to realize effective training of the model, and the positioning precision is improved; the star point coordinate positioning precision is improved to a sub-pixel level (RMSElt; 0.3 pixel); an end-to-end optimization framework reduces error accumulation in a traditional assembly line, and the robustness of the system is improved by 40%.

The invention discloses a surveying and mapping lens. The invention relates to an optical lens which sequentially comprises a first lens with positive focal power, a second lens with negative focal power, a third lens with positive focal power, a fourth lens with positive focal power, a fifth lens with positive focal power, a sixth lens with negative focal power, a seventh lens with positive focal power and an eighth lens with positive focal power from an object side to an image side. The second lens and the third lens form a first balsaming lens group, the fourth lens and the fifth lens form a second balsaming lens group, and the sixth lens and the seventh lens form a third balsaming lens group. The embodiment of the invention can further reduce optical distortion and can be widely applied to the technical field of optical devices.

The invention discloses an automatic focusing method and system based on a TFT liquid crystal panel, and particularly relates to the technical field of TFT liquid crystal panels. By acquiring image data of a shooting scene, calculating an optimal focal length adjustment parameter and applying a control voltage to dynamically adjust the refractive index of a liquid crystal panel, focus adjustment of an optical system is realized, an adjusted image is acquired, image quality is compared by using a definition evaluation algorithm, if the definition does not reach a preset threshold value, voltage control is iteratively optimized, and the image quality is improved. And after the focus is determined, the system maintains the current voltage state, and the focusing process is automatically optimized in combination with a scene change detection mechanism. The problems of optical distortion, halo, aberration and the like caused by the uniformity and response characteristics of liquid crystal molecules in the optical adjustment process of an existing liquid crystal panel are solved; the automatic focusing method and the automatic focusing device are particularly suitable for high-resolution and large-aperture application scenes, and stability and adaptability of automatic focusing are improved.

The invention discloses an optical performance detection device for aircraft cockpit glass. The optical performance detection device comprises a base, a rotating disc, a connecting frame, a turnover frame, a plurality of bow-shaped clamp assemblies, a camera assembly and a target plate. According to the technical scheme, the aircraft cockpit glass is fixed to the turnover frame capable of rotating horizontally and rotating in a pitching mode, the camera simulating the vision of a pilot is fixed to the supporting rod in the middle of the aircraft cockpit glass optical performance detection device, and the cockpit glass is located at different positions by rotating the turnover frame; the method comprises the following steps: taking a picture of a grid optical target plate outside aircraft cabin glass by using a camera, processing a camera image, finding out a grid line with maximum grid bending deformation, and finding out the maximum slope of the curve by using a ruler. And the tangent line is drawn at the tangent point, and the optical distortion value is represented by the maximum slope of the optical distortion value by the number of horizontal (vertical) grids required by the tangent line to cross a complete vertical (horizontal) grid, so that the aim of quantitative inspection is fulfilled. The detection device is simple in structure, convenient to use and high in detection precision.

The invention discloses an ultra-wide thin-wall tunnel roof deformation monitoring device based on laser ranging, and relates to the technical field of laser measurement, the ultra-wide thin-wall tunnel roof deformation monitoring device comprises an industrial camera and a mounting seat, a laser is fixedly mounted on the mounting seat, a mounting bracket is mounted at the bottom of the mounting seat, and a protective shell is fixedly mounted on the mounting seat. A light beam collimator is fixedly installed on the laser device, and a beam splitting assembly is fixedly installed in the protective shell and used for equally dividing a light source emitted by the laser device into two laser beams. The tunnel section deformation monitoring method has the advantages that high-precision and high-efficiency deformation monitoring can be performed on the tunnel section, the problems of time desynchrony and optical distortion existing in a traditional method are effectively solved, and meanwhile, the adaptability and data reliability in a severe environment are remarkably improved; and reliable technical means and equipment support are provided for structural health assessment of the ultra-wide thin-wall tunnel top arch.

The utility model discloses a 3D printing lens and a projection device, comprising a front group lens group, a diaphragm and a rear group lens group which are sequentially arranged in a direction from an object plane to an image plane, and the focal length of the lens is 10mlt; flt; the focal length of the front lens group is-100mm, and the focal length of the rear lens group is-100mm; f front lt; the focal length of the rear lens group is-50mm, and the focal length of the rear lens group is 15mlt; f rear lt; 25 mm; the lens is highly matched with a 0.47-inch DMD chip, the offset rate of the lens can reach 0%, optical distortion is small, imaging is good, and the projection ratio of the lens is larger than 0.5 and smaller than 1.35; the device has a large defocus range and can adapt to an unstable lighting environment; the imaging picture brightness is uniform, the edge loss light energy is less, and the illumination light utilization rate is high.

The invention relates to the technical field of machine vision lenses, and discloses a low-distortion anti-seismic lens and an optical system thereof. The optical system comprises a front group S1 with negative focal power, a middle group S2 with positive focal power, a diaphragm A0 and a rear group S3 with positive focal power, wherein the front group S1, the middle group S2, the diaphragm A0 and the rear group S3 are sequentially arranged from an object side to an image side; the positions of the front group S1, the middle group S2, the diaphragm A0 and the rear group S3 are relatively fixed; the focal length f of the optical system, the focal length fS1 of the front group S1, the focal length fS2 of the middle group S2 and the focal length fS3 of the rear group S3 respectively meet the following relational expressions: 2.00 lt; fS1 / flt; 3.00, 1.90 lt, 3.00, 1.90 lt; fS2 / flt; 2.50, 0.75 lt, 2.50, 0.75 lt; fS3 / flt; and 1.30. According to the invention, the focal length of the low-distortion anti-seismic lens is 16 mm, the resolution can reach 185lp / mm, and the maximum optical distortion of the full view field is lower than 0.12%.

The invention provides a camera image display method and device, an augmented reality display system and a computer readable storage medium. The camera image display method comprises the following steps: acquiring a to-be-corrected original image through a live-action camera; an optical machine distortion grid representing optical machine distortion characteristics of the display optical machine is obtained, and the optical machine distortion grid is obtained by performing complementation, displacement, rotation and / or fixed-point processing on a preliminary distortion grid obtained through shooting according to the result of an optical machine calibration experiment; and processing the original image according to the optical machine distortion grid so as to generate a pre-corrected image, and obtaining a display image offsetting optical distortion at the rear end of the display optical machine. By performing complementation, displacement, rotation and / or fixed-point processing on the preliminary distortion grid calibrated by the experiment, the method can obtain a more accurate distortion grid to compensate for the distortion of the optical machine, thereby improving the quality of the display image and improving the user experience.