202 results about "Compound eye" patented technology

The invention relates to the technical field of intelligent warehousing and logistics automation, in particular to a forklift dynamic path planning method based on deep reinforcement learning, and the method comprises the steps: deploying multi-view vision, geomagnetism and other multi-source sensors, achieving data calibration and fusion through employing an insect compound eye-imitating vision model, and constructing a high-dimensional state space vector; heuristic models such as migrant bird navigation and biological stress response are adopted, deep reinforcement learning is combined, decision instructions are generated from the three aspects of path planning, dynamic obstacle avoidance and energy efficiency management, actions are executed through a control system, and deviation is fed back; a reward function is used for evaluating the decision effect, rewards are formed by weighting path efficiency, obstacle avoidance success and energy consumption penalty, the weight can be updated in a self-adaptive mode, and therefore the deep reinforcement learning model is optimized. According to the method, the accuracy, safety and efficiency of forklift path planning are effectively improved, the method can adapt to complex dynamic environments, and the requirements of intelligent logistics and industrial automation for forklift intelligent operation are met.

The utility model discloses a micro-fluidic chip imaging positioning device, and belongs to the technical field of micro-fluidic chip positioning. According to the technical scheme, the system comprises a microcosmic illumination module, a microcosmic imaging module, a chip moving and macroscopic illumination module, a macroscopic imaging module and an optical path multiplexing module; the microscopic illumination module comprises a fly's-eye lens assembly, the fly's-eye lens assembly comprises two fly's-eye lenses, the optical axes of the two fly's-eye lenses are parallel to each other, and the focus of each lens array element in one fly's-eye lens coincides with the center of the lens array element at the corresponding position of the other fly's-eye lens. The micro-fluidic chip clamp is applied to the aspect of micro-fluidic chip imaging positioning, overcomes the defects caused by an existing micro-fluidic chip clamp, solves the technical problems of universality, automation and high precision of micro-fluidic chip positioning, and has the characteristics of rapidness, automation, high precision and universality.

The invention belongs to the technical field of optical lenses. The invention relates to a butterfly pupil escape compound eye bionic high-color-gamut nylon sunglass lens which comprises a lens body and a coating. Wherein the lenses are made of nylon resin; the coating is prepared from the following raw materials in parts by weight: 25 to 40 parts of tetraethoxysilane; 10 to 20 parts of phenyl trimethoxy silane; 4.0 to 8.0 parts of dimethyl dimethoxy silane; 2.0 to 4.0 parts of an MOF color enhancing agent; 20 to 30 parts of isopropanol; 11 to 22 parts of deionized water; and 1.0-3.0 parts of glacial acetic acid. A coating is prepared from a self-made MOF color enhancing agent through molecular design through formula optimization design, and the nylon resin lens is coated with the coating, so that the butterfly pupil escape compound eye bionic high-color-gamut nylon sunglasses lens is obtained. The butterfly pupil escape compound eye bionic high-color-gamut nylon sunglass lens effectively solves the problem that the color identification degree is low after the butterfly pupil escape compound eye bionic high-color-gamut nylon sunglass lens is blocked by 45-90% of light rays at present.

The invention provides an intelligent vision-guided mechanical arm precise grabbing system. The system comprises a bionic compound eye vision module for collecting multi-angle image information of a target object to generate a dynamic depth map, and a bionic touch sensing module for collecting touch information at the tail end of a mechanical arm to generate a pressure distribution heat map. And the dynamic self-optimization grabbing strategy module is used for generating a grabbing strategy by utilizing the two graphs. And the real-time trajectory planning and obstacle avoidance module optimizes a grabbing path according to the grabbing strategy, the environment obstacle information and the mechanical arm state data, and generates an optimal strategy. The robot can sense the movement of a target object and the change of environmental obstacles in real time, dynamically adjust the force and the posture in the grabbing process, and optimize the obstacle avoidance path in real time. Compared with the prior art, the system has the advantages that the aspects of dynamic obstacle avoidance, target object motion compensation, multi-modal information fusion robustness and the like are remarkably improved, the problem of insufficient adaptability in complex dynamic scenes in the prior art is solved, and high success rate and stability of a precise grabbing task under complex conditions are ensured.

The invention discloses a bionic visual positioning system and method based on multispectral perception and a storage medium, and the system comprises a front-end multidimensional optical perception module, a mesopic vision preprocessing module and a rear-end fusion perception and target positioning module, the front-end multi-dimensional optical sensing module is used for performing optical imaging, spectral decomposition and polarization imaging; the mesopic vision preprocessing module is used for carrying out image preprocessing and optical flow estimation; and the rear-end fusion perception and target positioning module is used for feature fusion and target identification and positioning. According to the bionic visual positioning mechanism, through a bionic compound eye structure + multispectral + polarization + optical flow fusion perception strategy, the perception bottleneck of a traditional visual system in a high-dynamic and complex illumination environment is effectively solved, and the bionic visual positioning mechanism has the advantages of high robustness, low delay, wide field of view, multiple modes and the like; the method is especially suitable for application scenes such as automatic driving, unmanned aerial vehicles, robots and the like with extremely high requirements on real-time performance and reliability.

The invention provides a multi-channel parallel structure interference optical system and an interference measurement method, and the system comprises a multi-channel parallel light source array which comprises a plurality of independently modulated sub-light sources, each sub-light source at least comprises dual-wavelength output, and generates an angle integral illumination light beam which forms an angle theta with a main optical axis through a micro-concave lens or an optical steering device, spatial incoherent illumination is realized; the interference light path module is used for dividing the light beam from the multi-channel parallel light source array into a scene arm and a reference arm and generating an interference light signal; the compound eye sensor array comprises a plurality of monocular sensors, each monocular is in one-to-one correspondence with the sub light sources of the multi-channel parallel light source array, and each monocular of the compound eye sensor array correspondingly receives an interference light signal from one sub light source and outputs an interference pattern; the problems that a traditional single-channel interference system is low in detection efficiency and poor in environmental adaptability are solved, and high-precision, wide-range and anti-interference multi-physical-quantity synchronous measurement is achieved.

The invention discloses a mining area watering cart driving control method based on animal avoidance real-time re-planning, and the method achieves the intelligent obstacle avoidance through multi-modal sensor fusion detection, deep learning driven target recognition, three-dimensional dynamic path planning, a multistage acousto-optic early warning system and adaptive speed adjustment. And a radar, a camera, a bionic compound eye vision module and the like are adopted, so that the detection response time is shortened, and the false alarm rate is reduced. Constraint conditions such as terrain gradient and soil humidity are integrated through an RRT algorithm, continuous processing of path curvature is achieved, the watering cart can complete path reconstruction without complete stop in an animal penetration scene, a graded early warning mechanism triggers three-level acousto-optic warning according to the animal approaching degree, and a dynamic speed adjusting model is matched to adjust the speed of the watering cart. And the spraying operation continuity is ensured while the safety allowance is ensured. According to the invention, through the environment interference compensation, the geological disaster early warning interface and the driver behavior simulation unit, the operation safety and the operation efficiency in the complex environment of the mining area are obviously improved.

The invention discloses an insect compound eye detection method, system and device and a storage medium, and relates to the field of computer vision and biological image processing, and the method comprises the steps: carrying out the preprocessing of an insect compound eye CT image; carrying out intensity thresholding processing on voxels in the CT image stack by utilizing a dynamic region self-adaptive thresholding strategy and a GPU (Graphic Processing Unit) multi-thread parallel computing method to obtain screened voxel data; decomposing a CT image stack into a plurality of sub-regions, and performing block processing on the screened voxel data by adopting a GPU multi-thread parallel computing architecture to construct three-dimensional point cloud data; performing coordinate transformation by utilizing a GPU parallel computing method to generate cross slice data of different depths; a CPU multi-core parallel computing method is used for conducting compound eye geometric structure analysis on the cross slice data, and a detection result of the insect compound eye structure is obtained; according to the insect compound eye detection method, system and device and the storage medium, efficient detection of large-scale insect compound eye CT images is achieved.

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 three-dimensional space perception and reconstruction system, method and device, a medium and a product, and relates to the field of computer vision, three-dimensional reconstruction and SLAM, and the system comprises a hemispherical compound eye camera array module which comprises a pedestal and a plurality of cameras; the plurality of cameras are arranged on the base in a non-coplanar manner, and the spatial distribution of the plurality of cameras forms a hemispherical curved surface; the optical axis of each camera points to different directions, and the combined view field covers a solid angle greater than 180 degrees; the synchronization and control module is electrically connected with the hemispherical compound eye camera array module and is used for sending hard synchronization signals to all cameras; the computer processing module is connected with the synchronization and control module and used for receiving and processing the image data of all the cameras and executing a three-dimensional space perception and reconstruction method, and the three-dimensional map reconstruction efficiency is improved.

The invention provides a multi-dimensional perception-driven field large-scale scene intelligent detection method and system, and relates to the technical field of scene intelligent detection. According to the method, a closed-loop system covering multi-source sensing, edge preprocessing, three-dimensional space-time fusion inference, alarm linkage response and continuous model optimization is constructed. By arranging a compound eye imaging sensor, an inertia-GNSS sensor, a millimeter wave radar sensor and an electrical parameter and environment sensor on site, synchronous acquisition and transmission of multi-modal data are realized; and de-noising, standardization and calibration processing is carried out on edge nodes, and combined identification of a target state, an event category and a risk level is completed based on a deep fusion network. When a detection result meets a preset condition, alarm information is generated, and the command center, the wearable terminal and the execution mechanism are linked to respond in time; meanwhile, feedback is periodically collected and disposed, the model is driven to be self-updated, the detection accuracy and response adaptability are continuously improved, and the method is suitable for intelligent safety monitoring of complex operation scenes such as mines, electric power and ports.

The invention relates to the technical field of projection modules, and particularly discloses an LCOS laser projection module, which comprises a laser light source module, a laser speckle eliminator, a reflector, a diffuser, a collimating lens, a fly-eye lens, a relay lens, a first linear polarizer, a polarizing beam splitter, an LCOS chip, a second linear polarizer and a projection lens which are sequentially arranged along a light transmission path, the laser light source module is provided with a light source optical axis and is used for emitting light, and the light is projected by the projection lens after being modulated along a light transmission path to form a projection image. The light emitted by the laser light source has the advantages of narrow divergence angle, small light-emitting area and good light concentration and collimation, the resolution of a projected image can be improved, the projected image is bright in color and high in definition, and the requirements of simple structure and small size are met. Meanwhile, the laser speckle can be eliminated through the matching of the laser speckle eliminator and the diffusion sheet, and the projection image can meet the high contrast through the existence of the first linear polarizer and the second linear polarizer.

The invention discloses an AR light machine and a near-to-eye display device, and relates to the technical field of AR optics. The illumination light path comprises a collimating lens, a compound eye, a first lens and a diffusion sheet which are tightly arranged in sequence along a light beam emitted by the light source; the imaging light path comprises a balsaming lens group, a polarization splitting prism, a reflector and a second lens in contact with the light-emitting surface of the polarization splitting prism, wherein the balsaming lens group, the polarization splitting prism and the reflector are tightly arranged in sequence in the direction of the light beam reflected by the LCOS. The lenses are tightly arranged, and in the illumination light path, light beams passing through the diffusion sheet sequentially enter a polarization splitting prism and a bonding lens group in the imaging light path, so that multiplexing of the polarization splitting prism and the bonding lens group is realized; in addition, in the imaging light path, through a folding structure of a polarization splitting prism, the size of the AR light machine is reduced; in addition, the LCOS is small in size. In conclusion, the volume of the AR light machine provided by the invention can be 30% of that of a traditional AR light machine, and miniaturization of the AR light machine is realized.

The utility model discloses bionic compound eye type mine displacement monitoring special equipment, which relates to the technical field of mine safety monitoring, and comprises a shell, the shell is composed of a plurality of groups of sensing surfaces and a plurality of groups of supporting nodes, a three-ring optical system is integrated on each sensing surface, and the bottom of the shell is provided with a tenon-and-mortise quick-release interface matched with the sensing surfaces for use. The shell is in the shape of a truncated icosahedron hemisphere, the sensing face is in the shape of a regular hexagon, and the supporting nodes are in the shape of a regular pentagon. According to the utility model, the horizontal field of view is expanded to 270 degrees and the vertical field of view reaches 120 degrees through the eccentric prisms, the 4 * 4 microprism aberration correction array dynamically compensates wide-angle distortion, the microlenses employ gradient refraction design to correct spherical aberration and field curvature, light is focused into 1.2 [mu] m light spots which are matched with the photonic crystal waveguide mode field diameter, and the adjacent microlens fields of view overlap 40%. The FPGA is fused with multi-channel data, so that the signal-to-noise ratio is increased to 40dB +, accurate acquisition and processing of light are ensured, high-precision three-dimensional deformation monitoring is realized, and fine change conditions of mine rock strata can be captured.

The present application relates to a kind of end sensor and tactile feedback type interventional catheter and its autonomous navigation method, the end sensor includes hemispherical light waveguide, compound eye array lens, multimode optical fiber and optical fiber image bundle, the front end of the optical fiber image bundle is equipped with compound eye array lens, the front of the compound eye array lens is equipped with hemispherical light waveguide, its bottom is placed four multimode optical fibers along circumference and certain incident angle is made into light waveguide, so that optical fiber end surface and light waveguide bottom surface coincide;The tactile feedback type interventional catheter is built-in the end sensor, based on the wide-angle imaging function provided by compound eye array lens and the force feedback function provided by light waveguide contact causes light leakage, can autonomously navigate and provide accurate force feedback and contact point position, need not guide wire as guiding device, can directly intervene blood vessel and in the intervention process, real-time feedback catheter and blood vessel wall contact mechanics information and position information, and change catheter intervention direction as required.

The invention discloses a high-resolution standardized microarray compound eye lens module and a light field regulation and control system, particularly relates to the technical field of light field regulation and control, and realizes high-precision standardized definition of key parameters of a microlens unit and optical axis micro-angle deviation calibration through a microlens array standardized module. A standardized micro-lens array is used for completing efficient acquisition of multi-view and multi-focus high-resolution light field data of a target three-dimensional scene, and non-consistent temperature control focus drift information and visual axis offset accumulation out-of-control information between micro-arrays are synchronously captured in real time; a light field reconstruction imbalance risk assessment model is cooperatively constructed based on a non-uniform temperature control focus drift coefficient and a visual axis offset accumulation out-of-control coefficient between microarrays, a light field reconstruction imbalance risk assessment index is output in real time, quantitative assessment and dynamic early warning of the imbalance risk degree in the light field reconstruction process are achieved, and an intelligent decision basis is provided for reconstruction regulation and control.

The invention belongs to the field of machining, and particularly relates to an integrated high-precision nut burying operation machine which comprises a frame body, a displacement mechanism, a nut burying mechanism, a man-machine interaction layer and a data acquisition and processing module. The core of the system is that a multi-source cooperative closed-loop regulation and control system is constructed, a visual detection module integrates a multispectral compound eye bionic system and an improved ICP algorithm, pressure and temperature field adjustment is combined with shape memory alloy, phase change energy storage and fuzzy control, and a process parameter self-optimization and abnormity self-repairing subsystem is matched. The equipment can automatically adapt to workpieces made of various materials, initial optimization parameters are output when the equipment works for the first time, the embedding precision and the pressing-in force stability are effectively guaranteed, the problems of screw loose, deformation and the like are avoided, clamping stagnation, overheating and other abnormalities can be rapidly handled, production interruption is reduced, and high precision, high efficiency and production continuity are considered.

The invention provides a space detection positioning method and device, electronic equipment and a readable storage medium, and the method is applied to a compound eye detector, and comprises the steps: controlling the compound eye detector to capture a scene image according to a preset detection parameter; preset image processing is carried out on the scene image to obtain a target image, and the preset image processing comprises denoising processing, contrast adjustment processing, superposition processing and local pixel adjustment processing; extracting image feature information in the target image based on a network segmentation method; performing deep learning on the extraction process of the image feature information by adopting a preset deep learning algorithm; and analyzing the image feature information, and determining parameter information of the detection object and position information of the detection object in the space. According to the invention, multiple preprocessing is carried out on the scene image collected by the compound eye detector, the quality of the image collected by the compound eye detector is effectively improved, and the detection precision of the compound eye detector is further improved.

The application discloses a kind of compound eye camera image fusion methods, comprising: the global camera image is interpolated and enlarged, and the global camera image after amplification is obtained;The global camera image after amplification is divided into regions, obtain multiple local areas, and the coordinate range of each local area is obtained;Multiple sub-camera images and corresponding local area are extracted and matched with image features, and the final matching point pair is obtained;Registration is carried out based on the homography matrix formed by the final matching point pair each sub-camera image and corresponding local area, and the restoration image composed of all registered sub-camera images is obtained;The restoration image is color corrected based on the fusion algorithm of gradient fitting, to fuse the restoration image into the global camera image after amplification, and the final fusion image is obtained.The application solves the problems of traditional multi-image splicing algorithm splicing process cumbersome, image picture stretch distortion, photo brightness and chroma inconsistency.

1. The name of the design product: billiard lamp (table wind compound eye). 2. The use of the design product: for lighting of billiard table. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

The invention discloses a large-view-field compound eye telescopic system suitable for daytime observation, and belongs to the technical field of optical system design. The system comprises a primary mirror, a compound eye optical unit, a refraction correction mirror group unit and a photoelectric detector unit which are sequentially arranged along an optical axis. The compound eye optical unit adopts a light splitting reflection cube-corner prism structure, and divides a focal plane of a primary lens into X paths of sub-view fields; the refraction correction lens group unit comprises n correction lens groups with built-in field diaphragms; a concentric annular light barrier group is arranged on the inner wall of the primary mirror chamber. Large-view-field observation is realized through optical splicing of a compound eye structure, strong background stray light in the daytime is remarkably inhibited by utilizing a built-in view field diaphragm and combining multiple scattering absorption of a light barrier group, and the stray light coefficient of the system is lower than 1.11 * 10 <-7 >. The technical problem that an existing optical telescope cannot carry out high-contrast large-view-field observation in the daytime is solved, and all-weather monitoring of near-earth celestial bodies is achieved.

The invention belongs to the technical field of visual relative positioning, and discloses a multi-focal-length compound eye-based cooperative target wide-range adaptive relative positioning method, which comprises the following steps of: establishing a coordinate system; establishing a single-camera model; establishing a multi-focus compound eye camera imaging model; establishing a relative positioning motion model; establishing a self-adaptive observation model based on a multi-focus compound eye camera; and establishing a self-adaptive relative pose estimation method based on the multi-focus compound eye camera. According to the cooperative target wide-range adaptive relative positioning method based on the multi-focal-length compound eye, a multi-focal-length compound eye camera is formed by combining a plurality of single cameras with different focal lengths, and the established adaptive relative pose estimation method can perform pose estimation under the condition that a target point is limited; and meanwhile, the robustness of the algorithm is enhanced through a Kalman filter, the limitation of traditional optical zooming and digital zooming in the relative positioning application of the vision of the unmanned aerial vehicle is solved, the wide-range and long-distance sensing capability is achieved, and the practical engineering value is achieved.

The present application relates to the image processing method of optical remote sensing imaging detection, specifically relates to a multi-modal image fusion method and imaging system, in order to solve the existing technical image capture of target scene depends on time-sharing type imaging system or multi-device acquisition, resulting in different modal image registration difficulty, low registration accuracy, image edge details are inconsistent, the deficiency of poor fusion effect, the multi-modal image fusion method of the present application includes the original image and characteristic spectrum of target scene, multi-modal image preprocessing and multi-modal image fusion steps, based on the spectral radiation curve of target scene, spectral image and polarization image realizes multi-modal image fusion.Simultaneously, provide a kind of multi-modal image imaging system, including sub-aperture array compound eye unit, for obtaining the original image of target scene, realize the spectral image and polarization image of target scene are acquired simultaneously.

The invention relates to the field of infrared thermal imaging, in particular to a miniaturized medium-wave infrared curved surface bionic compound eye optical system which comprises a curved surface multi-aperture array, an optical relay image rotation unit and an infrared detection unit. The curved surface multi-aperture array is of a compound eye structure formed by a plurality of sub-eyes with the same parameters. And the number of the lenses contained in each sub-eye is not more than 3. The optical relay image rotation unit converts a focal curved surface image of the curved surface multi-aperture array into a focal plane image, and the focal plane image is collected to the infrared detection unit. The number of lenses contained in the optical relay image rotation unit is not more than 6, and the optical relay image rotation unit has an object curved surface with the same curvature radius as the curved surface multi-aperture array and is matched with a diaphragm of the infrared detection unit. The system has the advantages of multiple compound eye apertures, light weight, miniaturization, large relative aperture, large target surface size, large field of view, high spatial resolution, cold diaphragm matching and the like, can perform operations such as quick capture, positioning and distance measurement on a moving target, and is particularly suitable for application scenes such as high-altitude over-the-ground wide-area detection, quick moving target positioning and tracking and the like.

The invention relates to the technical field of data processing, in particular to a holographic projection method based on a compound eye array camera, and the method comprises the steps: collecting a multi-sub-eye image sequence of a target scene, and determining a mapping parameter set containing information entropy distribution and an error sensitive region; comparing the error sensitive area of any sub-eye among the multiple image frames, and determining the distortion area of each sub-eye; carrying out calibration processing on the distortion area of each sub-eye, and configuring an intermediate image block after preliminary calibration; configuring a view field range of a single sub-eye based on the coordinate of the middle image block, and calculating an overlapping region of adjacent sub-eyes through a coordinate overlapping algorithm; calling an optimal boundary line of each boundary point based on the update data of each boundary point in the overlapped region in the multi-image frame; and based on the optimal boundary line, carrying out pixel-by-pixel splicing fusion on the view field range of the single sub-eye to obtain a fused global view field set. And the precision and efficiency of image processing are realized.

The application discloses an LED lens, which comprises a rotary body, an incident area and an emission area are arranged on the rotary body, an outer side wall surface between the emission area and the incident area forms a reflection area, the incident area is provided with a groove, a top wall of the groove forms a first incident surface, a side wall of the groove close to a light source forms a second incident surface, a side wall of the groove far from the light source forms a third incident surface, a region close to the light source of the reflection area forms a first reflection surface, a region far from the light source of the reflection area forms a second reflection surface, the emission area comprises a first emission surface, a second emission surface and a third emission surface, the first incident surface and / or the first emission surface is a compound eye surface formed by a plurality of third convex units, the second incident surface, and / or the first reflection surface, and / or the second emission surface comprises a plurality of first convex units arranged along a radial direction, and the third incident surface, and / or the second reflection surface, and / or the third emission surface comprises a plurality of second convex units arranged along a circumferential direction.

The invention relates to a curved-surface compound eye imaging system based on relay image rotation, and the system comprises a curved-surface compound eye structure which is a curved-surface micro-lens array composed of a plurality of micro-lenses; the relay image transfer system is used for converting a curved surface image formed on a focal curved surface of the curved surface micro-lens array into a plane image; and the plane receiver is used for receiving the plane image. According to the invention, the problem of conflict between the curved surface image collected by the curved surface optical array and the plane optical receiver can be solved.

The present invention discloses a variable bionic curved compound eye structure and a multispectral image acquisition device. The device comprises an acquisition control assembly and nine image acquisition components, each of which is equipped with an image acquisition board and an image acquisition sensor. The image acquisition sensor is fixedly connected to the center of the bottom surface of the image acquisition board. Each image acquisition board is fixedly connected to the acquisition control assembly. The nine image acquisition boards are located on the same plane and arranged in a 3×3 rectangular array. The image acquisition boards in the rectangular array are numbered 1 to 9 from top to bottom and from left to right. The acquisition control assembly can control the image acquisition boards numbered 1 to 3, 4, 6, and 7 to 9 to simultaneously rotate toward the image acquisition board numbered 5. The device captures high-quality multispectral images and utilizes the field of view of the acquisition lens efficiently.

1. The name of the design product: LED lens car light (circular four dragon ball compound eye). 2. The use of the design product: for car light. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The utility model discloses a photoelectric compound eye system for geostationary orbit space target wide-area monitoring, which comprises a plurality of photoelectric devices arranged on a bottom table at intervals, the photoelectric devices are arranged on the bottom table through mounting pieces, the transverse view field of each photoelectric device is tangent to the arc section of a geostationary orbit monitored by the photoelectric device, and the transverse view field of each photoelectric device is perpendicular to the arc section of the geostationary orbit. And after the transverse view fields of the plurality of photoelectric devices are spliced, the view field angle is 120-240 degrees by taking the due north direction as azimuth 0 degree, and the pitch angle is 23-43 degrees by taking the horizontal direction as pitch 0 degree. According to the utility model, field-of-view splicing of multiple photoelectric devices can be realized, and simultaneous and wide-area monitoring of all space targets in a geostationary orbit large arc section covered by a system field-of-view can be realized.