80 results about "Projection distance" patented technology

The invention relates to the technical field of projection, and discloses a method, a device and equipment for measuring a projection ratio and an off-axis ratio, and a medium. The method comprises the following steps: acquiring a projection test image obtained by sampling a projection area and a reference area by an image sampling device of the projector; performing area feature extraction processing on the projection test image to obtain image size information and central point pixel information of a projection area and image size information of a reference area; determining the projection ratio of the projector based on the image size information of the projection area, the projection distance information of the projector and the image size information and the actual size information of the reference area; and determining the off-axis ratio of the projector based on the central point pixel information of the projection area, the optical axis pixel information of the projector and the image size information and the actual size information of the reference area. According to the embodiment of the invention, the cost of measuring the projection ratio and the off-axis ratio can be reduced.

This disclosure provides a projection device and a focusing method for the projection device. When a focusing event is triggered, the projection device controls a shift motor to move the optical axis of the light-emitting component by acquiring the rotational attitude change provided by an inertial measurement sensor. The projection surface is determined using a three-dimensional point cloud set provided by a time-of-flight sensor and the pixel plane corresponding to the light-emitting component. The projection distance between the light-emitting component and the projection surface is calculated based on the depth distance between the time-of-flight sensor and the projection surface. Finally, the focusing motor is controlled to adjust the focus of the light-emitting component based on the projection distance. When a focusing event is triggered, the projection device can achieve automatic focusing without a test chart, effectively reducing focusing time.

This invention relates to the field of digital simulation technology, specifically to a method for three-dimensional visualization modeling of natural resources based on digital twins. The method includes: constructing a discrete computational map based on a real-world three-dimensional model of the target area and geographic information system (GIS) data; projecting the design base of the building information model (BIM) onto the discrete computational map to determine design boundary nodes; performing constraint propagation calculations on the discrete computational map using the design boundary nodes as propagation starting points to determine the cumulative compliance consumption and cumulative horizontal projection distance of each node in the discrete computational map; determining the topology type of each node based on its cumulative compliance consumption, cumulative horizontal projection distance, original terrain elevation, and preset engineering slope parameters; and geometrically reconstructing the discrete computational map based on the topology type of each node to generate a digital twin model that integrates the BIM and the real-world three-dimensional model. This invention simultaneously achieves automatic compliance avoidance and structural closure generation of the slope model.

The application provides a kind of InSAR deformation monitoring point high-precision geometric positioning method combined with three-dimensional model data, belongs to synthetic aperture radar technical field, comprising: converting three-dimensional model data into space rectangular coordinates, combined with satellite orbit parameter iteration to solve row and column coordinates in SAR image, calculate the slant range projection distance of satellite-observation vector, screen and eliminate invalid data in shadow area;With the screening result as a mask, obtain a subset of three-dimensional model data, calculate the row and column coordinates of the InSAR deformation monitoring point of the subset of three-dimensional model data, and search for candidate points based on plane geometric constraints, match the accurate elevation of the monitoring point by height system deviation;Based on the determined accurate elevation, construct the RD positioning model of distance constraint, Doppler frequency constraint and ellipsoid constraint, and solve the high-precision geometric position of InSAR deformation monitoring point. It can realize the high-precision geometric positioning of infrastructure InSAR deformation monitoring point, and improve the applicability in infrastructure fine deformation monitoring.

The utility model provides a three-dimensional modeling device. The three-dimensional modeling device comprises a support; the projector is arranged on the bracket and is used for emitting light rays; the reflecting lens is arranged on the bracket and is used for reflecting the light rays emitted by the projector to a measured object; and the first camera is arranged on the bracket and is used for shooting the measured object. According to the utility model, the projection distance is increased through mirror reflection, so that the purpose of increasing the projection area is achieved, the overall size of equipment is reduced, and the use convenience and flexibility are improved.

This invention discloses a method for visualizing the surface quality of machined parts based on GPU and mesh search algorithms, belonging to the field of machining technology. The method includes acquiring tool point cloud data and discretizing it to construct a three-dimensional mesh structure surrounding the point cloud; linearizing the three-dimensional mesh data into a one-dimensional array and packaging it; creating four types of structured GPU computing buffers to achieve batch data transmission; utilizing GPU shader programs to achieve parallel data access and fast local neighborhood queries; completing high-precision real-time reconstruction of fragment surface normal vectors through neighborhood search and signed projection distance calculation; and outputting realistic rendering results based on an optimized Phong lighting model. This invention leverages the advantages of GPU parallel computing to accurately reproduce complex textures, microstructures, and special curved surfaces, making it suitable for surface quality inspection, wear assessment, and process optimization of milled parts and tools.

The invention discloses a non-line-of-sight positioning method based on obstacle vectorization and distance measurement cross validation, which belongs to the technical field of wireless positioning and comprises the following steps: step 1, calculating a height difference according to the installation height of a base station and the preset height of a to-be-estimated label, and calculating a plane projection distance value according to the height difference and a TOF distance measurement value; 2, constructing a signal path according to a to-be-estimated label positioning result at the previous moment and the position of each base station, judging the penetration condition of the path by combining a vectorized obstacle map, and performing compensation and reliability screening on the plane projection distance based on the penetration condition to obtain a credible distance measurement value set; 3, solving and calculating a positioning residual error through multi-base-station combined positioning, and carrying out weighted fusion on a solving result according to the residual error to obtain an initial positioning result at the current moment; according to the invention, high-precision positioning can still be kept near the base station and in complex scenes such as multi-shielding and the like, and the application requirement of a shielding environment is met.

The invention discloses a sample deduplication method and a sample counting method, and the method comprises the following steps: dividing a focusing section into at least two image layers in a Z-axis direction, and obtaining a shot image of each image layer; obtaining target confidence and target position information corresponding to the counting target; and sorting all the counting targets from high to low according to the target confidence, selecting the counting target with the maximum confidence and putting the counting target into the counting set P, traversing the counting targets outside the counting set P, and comparing the counting targets with the counting targets in the counting set P. According to the invention, the distance D between the two layers along the Z-axis direction is compared with the vertical de-duplication threshold value D0, so that a long-distance target, namely D < gt >, can be quickly eliminated; when D0 is greater than D0, skipping operation is carried out on the candidate target, and elimination operation is not needed, so that the calculation amount is reduced; and then calculating a horizontal distance S between the targets on the adjacent layers, that is, when D is less than or equal to D0, comparing the projection distance of the targets on the adjacent layers on the XY plane with a horizontal deduplication threshold S0 so as to avoid error elimination operation.

The application provides a projection display device, an optical system and a manufacturing method thereof. The projection display device comprises a polarization splitting element, at least one image generating element and an optical compensation element. The polarization splitting element is configured to polarize an incident light beam into at least two different directions of outgoing light beams. The image generating element is located on the propagation path of the at least one outgoing light beam and is configured to modulate the outgoing light beam into information light based on image information. The optical compensation element is located between the polarization splitting element and the image generating element and allows at least part of the outgoing light beam and the information light to pass through. In this way, by arranging the optical compensation element allowing at least part of the outgoing light beam and the information light to pass through, multi-screen display under different projection distances can be achieved, the structure is simple, and the cost is low. Moreover, by arranging the optical compensation element, the dark state stray light can be reduced, thereby improving the overall contrast of the bright and dark areas of the projection display device.

An optical detection and tracking device for a target includes a control board, a frame, a turntable, an optical camera, and a light-transmitting cover. The turntable is driven by an azimuth motor to achieve 360° horizontal rotation, and the optical camera is driven by a pitch motor to achieve pitch scanning. The control board can switch between scanning mode-1 and tracking mode-2. In scanning mode-1, the azimuth and pitch motors rotate continuously or in steps, driving the optical camera's field of view to detect the target. In tracking mode-2, the azimuth and pitch motors are deflected to keep the target within the optical camera's field of view. The device obtains the target's projected distance by constructing an X / Y coordinate system within the field of view angle α, and drives the motors to deflect based on the difference, offsetting the target towards the center of the field of view to achieve tracking. Furthermore, a single scanning frame or multiple nested scanning frames can be constructed within the field of view, and offset signals are triggered by the scanning frame boundaries to achieve progressive and precise tracking. This device can automatically keep the target centered in the field of view, providing a basis for laser ranging and strong light illumination, and is adaptable to different optical structure designs.

This invention discloses a device for detecting the wall thickness of a transparent container, relating to the field of detection technology. It includes a dark chamber with a lid on top, an analysis component, a positioning component on the top of the lid, a light source component fixedly mounted on the side of the dark chamber, and a rotating component at the bottom of the inner cavity. A transparent container body is placed on the rotating component. This invention utilizes the fact that light rays incident at an angle to the surface of the transparent container body undergo two refractions upon passing through and after passing through the medium of the transparent container body, forming a three-segment light ray. The thickness of the medium of the transparent container body can be determined by the horizontal projection distance of the ray in the medium of the transparent container body. Furthermore, based on the known length of the horizontally emitted ray B, the percentage of ray A within the first medium can be calculated, thus yielding the target wall thickness.

The invention discloses an obstacle key point detection method and device, electronic equipment and a storage medium, and relates to the field of obstacle recognition. The method comprises the steps that the shooting height of a camera on a vehicle body is obtained; when the vehicle is at a first vehicle position, identifying a first projection point of a key point of an obstacle projected on the ground based on a collected first image, and determining a first projection distance between the first vehicle position and the first projection point; when the vehicle moves to a second vehicle position, identifying a second projection point of the key point projected on the ground based on a second image collected by the camera, and determining a second projection distance between the second vehicle position and the second projection point; and calculating a key height between the key point and the ground according to a geometrical relationship among the first projection distance, the second projection distance and the shooting height. According to the embodiment of the invention, the obstacle height detection accuracy can be improved.

The invention relates to the technical field of space target correlation and positioning, and discloses a space target correlation matching and coordinate determination method, device and equipment and a medium, and the space target correlation matching and coordinate determination method comprises the steps: predicting the tracks of a plurality of observation stars and a plurality of space targets, and determining angle measurement observation data according to the target tracks; performing coordinate transformation on the angle measurement observation data; determining a projection distance cost matrix according to the unit relative position vector obtained by coordinate conversion; according to the projection distance cost matrix, matching space targets observed by the plurality of observation stars by adopting a Hungary allocation algorithm, and determining target position coordinates according to the position coordinates of the observation stars and the unit relative position vector in a matching result; according to the method, the unit vector is obtained by predicting the trajectory of the observation star and the space target and converting the coordinates, the cost matrix-based Hungary algorithm is constructed to match the target, and the space target coordinates of the position are fitted, so that the efficiency and accuracy of determining the space target coordinates are improved.

The application discloses a beef cattle body condition scoring system based on computer vision and pose estimation, and particularly relates to the field of three-dimensional point cloud data processing and analysis, and is used for solving the problem that the surface model and geometric size measurement are inaccurate due to point cloud data blurring when the prior art reconstructs the three-dimensional surface of a biological body covered with hair; the three-dimensional point cloud data of beef cattle is acquired, candidate skin point sets are preliminarily screened according to the statistical characteristics of the local depth distribution of each point, the candidate points are optimized based on the geometric continuity constraint of the local surface of the candidate points, thereby the three-dimensional points representing the skin surface are accurately separated, the optimized point sets are used to reconstruct a three-dimensional surface model, the model is standardized and projected to generate a two-dimensional contour, the projection distance between key points on the contour is measured to obtain body size parameters, and finally, the body condition score is generated according to the parameters; the accuracy and robustness of reconstructing the surface of a biological body from three-dimensional point cloud and calculating the geometric size thereof under the interference of hair are improved.

The application relates to the technical field of point cloud data processing, and specifically discloses a UAV point cloud original piece data processing system with a grading naming function; the system comprises the following modules: a boundary division module generates a rectangular boundary suitable for a terrain and screens a to-be-graded original piece; a grading identification module constructs geometric constraints based on a projection distance, completes tower distribution through extreme value judgment and parallel scene processing rules; a naming adaptation module integrates multi-source data to construct a scene feature vector, divides a risk range through clustering, realizes differential naming by adopting multi-source filling and normalization sorting; a feedback checking module locates a preferential analysis interval through deviation analysis, constructs a space neighborhood group and judges a high-risk area, and replaces an original algorithm to complete grading renaming and closed-loop checking by adopting a space index-hash mapping method; the application realizes dynamic optimization of point cloud grading naming, improves grading precision and naming compliance, and provides data support for power transmission line operation and maintenance.

An auto-focus method for a projector, a projector and a non-transitory computer-readable storage medium are provided. The auto-focus method includes: calculating a projection distance based on measurement data from a distance measuring component of the projector; calculating a size of an image projected by the projector based on the projection distance according to a throw ratio of a lens module of the projector; calculating a driving parameter of a focus motor based on the size of the image according to characteristics of the focus motor and the lens module of the projector; and controlling the focus motor to drive the lens module to move based on the driving parameter of the focus motor, and achieving auto-focus.

The application provides a semantic label fusion method and device, electronic equipment and a storage medium, and aims at improving the problem that the accuracy of semantic labels obtained in semantic segmentation is low. The method comprises the following steps: obtaining point cloud data scanned for a target object and multiple target images shot from different perspectives; for each target image in the multiple target images, performing semantic segmentation on each two-dimensional pixel point in the target image to obtain the category label of the two-dimensional pixel point; performing semantic segmentation on each three-dimensional pixel point in the point cloud data to obtain the category label of the three-dimensional pixel point; and fusing the category label of the three-dimensional pixel point and the category label of the projected pixel point according to the projection distance of the projected pixel point of the three-dimensional pixel point projected onto the target image to obtain the fused semantic label.

The application provides a manual weld joint identification method and computer equipment, and relates to the technical field of welding control. On the basis of determining the original plane set of the workpiece to be detected, each original plane included in the original plane set is traversed, and a target plane constituting a concave dihedral angle with the traversed original plane in the original plane set is searched. Then, a theoretical intersection line segment between the target plane and the traversed original plane is divided into a plurality of locally distributed local line segments, and the plurality of local line segments are subjected to line segment distribution clustering according to the minimum point cloud projection distances of the target plane and the original plane on different local line segments. The manual weld joint distribution detection is performed according to the line segment clustering results of the target plane and the original plane on the plurality of local line segments, whether the manual weld joint exists between the target plane and the original plane is determined, and thus the accurate positioning and identification of all manual weld joints substantially existing on the workpiece to be detected are performed.

This invention provides a digital measurement method and system for aircraft skin depression areas based on point cloud scanning, relating to the field of parts inspection technology. The method includes: acquiring point clouds of the skin surface; locating feature regions based on local curvature; extracting and fitting feature contour lines using projection and envelope methods; selecting measurement points on the contour lines; determining the search range on the opposite side; searching and calculating the shortest geodesic length between the two contour lines; establishing a cross-section at the geodesic endpoint and projecting the local point cloud; fitting a linear segment and determining the theoretical contour points based on a deviation threshold; calculating the projection compensation distance; and obtaining the final size of the depression area by combining the geodesic length. The advantages are: acquiring point clouds through 3D scanning eliminates the need for dedicated molds, reducing costs and improving inspection accuracy and efficiency; the feature extraction method based on local curvature perception accurately extracts the required feature contour lines; and the use of the shortest geodesic and projection distance compensation effectively reduces contour recognition errors, achieving accurate measurement of the depression area.

This application discloses a projection control method, projection device, and storage medium. The method involves: acquiring a target projection distance; matching the target projection distance with an initial hazard detection range; determining the target hazard detection range based on the matching result; determining whether a target object exists within the target hazard detection range; and if so, controlling the reduction of the projection device's display output brightness. This method determines and adapts the target hazard detection range based on the matching result between the target projection distance and the initial hazard detection range, avoiding misjudgments caused by dust and ambient light. Furthermore, if a target object is found within the target hazard detection range, the method controls the reduction of the projection device's display output brightness, improving the reliability of the projection device's eye protection and the user experience.

The utility model provides a structure for enhancing projection definition and a projection handle and a projection umbrella thereof, a power supply module provides a power supply for a light-emitting module and emits light, a first lens and a second lens which are plano-convex lenses are arranged between the light-emitting module and a film, and the convex surfaces of the first lens and the second lens are oppositely arranged. Light is converged by the second lens and deflected by the first lens in sequence to form light rays with enhanced convergence, projection is realized by matching with the film and the lens group, the projection distance is increased, and the projection definition is effectively enhanced.

The invention discloses a material detection method, device and equipment based on a mobile camera and a medium, and relates to the technical field of mechanical control. Establishing a target two-dimensional coordinate system on a horizontal plane corresponding to the cutting machine workbench, adjusting the focal length of the camera to determine a target shooting range, and establishing a mapping relation between pixel coordinates in the target image and the target two-dimensional coordinate system; determining a first center coordinate of the picture center of the fixed camera in the target two-dimensional coordinate system and a second center coordinate of the picture center of the movable camera at the target reset position in the target two-dimensional coordinate system according to the mapping relation, and determining the projection distance of the first center coordinate and the second center coordinate on the Y axis, and performing camera movement control based on the first center coordinate, the second center coordinate and the projection distance. By establishing a submillimeter mapping relation between pixel coordinates and a machine coordinate system, the problem of insufficient measurement precision is solved.

An electronic apparatus includes: a video projector; a first sensor; a second sensor; a memory; and at least one processor. The at least one processor is configured to: acquire projection distance information to a projection surface based on sensing data acquired through the first sensor, acquire illuminance information based on the sensing data acquired through the second sensor, acquire gain information for each region included in the projection surface based on the projection distance information and the illuminance information, correct the gain information for each region based on correlation information between the projection distance information and image quality information and correlation information between the illuminance information and the image quality information, acquire an output video by correcting the input video based on the corrected gain information for each region, and control the video projector to project the output video onto the projection surface.

This invention relates to the field of 3D modeling technology, specifically a construction method for a large cantilevered steel frame canopy based on BIM and 3D scanning. The method includes the following steps: collecting component point cloud coordinates and calculating deformation displacement gradients to construct a 3D data model; extracting reference surfaces and calculating projection distance differences to generate a surface correction model; decomposing node position residuals to calculate correction ratio coefficients and generate offset vector data; and constructing a connection plate constraint model based on the offset vectors to calculate micro-correction values ​​and generate a control coordinate set. In this invention, spatial topography is reconstructed by calculating point cloud displacement gradients; deviation characteristics are mined by extracting reference surfaces and calculating differences to generate deformation parameters; node spatial position residuals are decomposed to identify offset patterns and dynamically calculate compensation ratios; a constrained deformation field distribution matrix is ​​constructed by combining the geometric boundaries of the connection plates; and finally, precise control coordinates are generated to eliminate accumulated positioning errors and interference risks, thereby significantly improving assembly reliability.

The invention discloses a camera focusing system and method based on multi-sensor data fusion, and belongs to the technical field of camera imaging and intelligent control. The system comprises a data acquisition module, a data processing module, a data fusion module and a focusing control module. The data acquisition module is composed of a gyroscope sensor and a TOF laser sensor. The data processing module is connected with the data acquisition module and performs data preprocessing; the data fusion module is connected with the data processing module, and is used for fusing the attitude data of the gyroscope sensor and the linear distance data of the TOF laser sensor after data preprocessing by adopting a weighted fusion algorithm to generate fused data; and the focusing control module is connected with the data fusion module, drives the camera lens to adjust the focal length according to the projection distance of the target on the camera imaging plane, and triggers horizontal and vertical screen switching and image upright correction according to the posture characteristic parameters. According to the invention, multi-module collaborative optimization is used, and the stability and reliability of the system are improved.

The invention discloses a transportation tool and a driving method thereof. The transportation tool is used for providing a first image and a second image with projection distances for the first position and the second position respectively. The vehicle includes a windshield and a display device. The display device is used for generating a plurality of first light beams and a plurality of second light beams, projecting the first light beams and the second light beams to one side of a windshield, and presenting a first image and a second image on the other side of the windshield. The display device comprises a display and a lens structure, the display comprises a plurality of first sub-pixels and a plurality of second sub-pixels, and the lens structure is arranged on the display. Light generated by the first sub-pixel and light generated by the second sub-pixel form a first light beam and a second light beam through the lens structure respectively, the first light beam forms a first image, and the second light beam forms a second image.

The utility model discloses an optical system suitable for stage light beam lamp. The optical system includes the focusing lens module, the middle lens module and the front lens module who sets gradually from object side to image side along the optical axis direction, and the front lens module, the middle lens module all have positive focal power, and the focusing lens module has negative focal power, the front lens module includes at least one front group lens piece, and the image side surface of front group lens piece is the convex surface, the middle lens module includes the third lens piece, the second lens piece and the first lens piece who sets in order along the optical axis direction, and the first and second lens piece are all meniscus positive lens, and the third lens piece is meniscus negative lens, and the second and third lens piece are glued and are connected as an integral structure, and the focusing lens module includes at least one focusing lens piece, and the focusing lens module is translated before and after along the optical axis between the middle lens module and the light source, to adjust the spot definition to different projection distance. The utility model can shorten the length of overall optical path while guaranteeing the spot definition and the beam sharpness.

The waveguide includes a pair of major surfaces that are parallel to one another and an aperture configured to receive a plurality of beams. The aperture includes a pair of sub-apertures that are co-planar and offset in one dimension. The waveguide also includes a first set of facets that are configured to receive the beams from the aperture and at least partially reflect the beams towards a second set of facets. The second set of facets are configured to receive the beams from the first set of facets and at least partially reflect the beams out of the lightguide. The sub-apertures are offset in the one dimension by an offset distance that corresponds to a projected distance along the one dimension that the beams travel while the beams traverse one trip between the major surfaces between the first set of facets and the second set of facets.

The invention provides a berry lossless sorting method and system based on heterogeneous visual information space-time registration, and belongs to the technical field of agricultural product automatic lossless detection and sorting. According to the method, when berries move along with a conveying belt, image sequences are collected through a linear array hyperspectral camera and a visible light camera, and internal quality features and center coordinates are extracted. The fixed linear edge of the conveyor belt is used as a unique space reference datum, the projection distances from the feature information and the coordinates to the datum are calculated, matching is conducted through the sequence of the projection distances, and the corresponding relation between the quality and the position is established. And then, the escape distance of the berries relative to the mechanical arm movement boundary (namely the downstream boundary of the working area of the parallel robot) in the conveying direction is calculated, a grabbing priority queue is dynamically generated from near to far according to the escape distance, and the parallel robot is controlled to complete sorting according to the quality. According to the method, the problem of dislocation of asynchronous collection of heterogeneous visual information is solved through a software algorithm, and the sorting omission rate is remarkably reduced through dynamic priority scheduling.

A device for generating a virtual image. The device has at least one image-generating unit for producing an image and an optical waveguide for expanding an exit pupil. The optical waveguide has an output coupling region. An optical element for influencing a projection distance for at least a partial region of the virtual image is arranged adjacent to the output coupling region.