482 results about "Object distance" patented technology

The invention discloses a wiring terminal full appearance detection system and method based on an annular track platform, and the system comprises a track which is provided with a transparent material conveying chain plate segment and is used for the uniform motion transmission of a wiring terminal; the multi-station visual detection device comprises a plurality of visual camera groups and an object distance adjusting assembly, the plurality of visual camera groups are respectively arranged at different stations of the track and are used for carrying out image acquisition on six front-view main surfaces and a set surface of the wiring terminal, and the object distance adjusting assembly is connected with the visual camera groups and is used for carrying out image acquisition on the set surface of the wiring terminal. The object distance adjusting assembly is used for adjusting the object distance or / and the position of the linear scanning camera; the AI visual inspection module comprises an image marking unit used for carrying out defect classification and marking on the collected images; the model training unit is used for carrying out iterative training on the marked image based on a small sample learning algorithm to generate a multi-station detection model; and the real-time detection unit is used for deploying a multi-station detection model to execute component statistics, defect detection and defective product rejection.

The invention relates to a related light measuring device based on a bevel mirror and a control method, and solves the problem that the existing three-dimensional detection technology is insufficient in comprehensive adaptability and cannot meet the requirements of precision detection for stability, precision and data collaboration, and the related light measuring device comprises a laser emission head, a double-bevel mirror, a light path receiving module, a zoom camera and a circuit processing unit. The first bevel mirror is provided with a through hole for laser to directly irradiate a target; the light path receiving module receives and reflects the laser-to-electric signal; the second bevel mirror reflects the target and the light spot light to the camera to obtain visual information; and the circuit processing unit controls all the components, integrates laser and visual information, and realizes three-dimensional detection of the target. The method has the following effects: through the light path collaborative design of the double-bevel mirror, precise and synchronous acquisition of laser ranging signals and visual contour / light spot information is realized, so that high-precision three-dimensional detection of the distance, the flatness and the segment difference of a target object is efficiently completed.

The present invention provides an automatic focusing method, an electronic device, and a readable storage medium. The automatic focusing method comprises: using a target detection model to detect a target object in an image frame acquired at an initial focal length by an optical imaging device to be focused, so as to acquire a target object detection result; on the basis of the target object detection result, determining whether a target object is present in the image frame; if yes, determining an actual object distance on the basis of the target object detection result and the initial focal length, and on the basis of the actual object distance and a mapping relationship between the object distance and an optimal imaging focal length, determining the optimal imaging focal length; and if not, using a preset search algorithm to search for a focal length until an image having the highest definition value is found, and using a focal length corresponding to the image having the highest definition value as the optimal imaging focal length. The present invention primarily employs a deep learning-based automatic focusing method, supplemented by an image definition evaluation method. Compared with traditional passive focusing methods, the present invention greatly improves the focusing efficiency. Compared with traditional active focusing methods, the present invention eliminates a need for adding an additional optical ranging component, ensuring that the imaging device has a simple structure and a low cost.

The invention discloses a real-time automatic focusing hyperspectral acquisition method and a real-time automatic focusing hyperspectral acquisition device. The real-time automatic focusing hyperspectral acquisition method comprises the following steps: step 1, acquiring dark background pixel signals; 2, automatic focusing is carried out; 3, repeating the step 2 until the requirement is met, recording automatic focusing data, and performing spectrum acquisition to obtain original spectrum data; step 4, calculating a full-width object distance matrix of the original spectral data based on the phase difference finally obtained in the step 3; 5, correcting the original spectral data based on the full-width object distance matrix to obtain corrected spectral data; and step 6, calculating the corrected reference plate spectral data based on the corrected spectral data and the dark background pixel signal, calculating the reflectivity of the target object to be measured, and realizing real-time automatic focusing hyperspectral acquisition. The method innovates a phase difference analysis method, and efficiently processes light change and target offset in a dynamic scene; the combination of the two improves the focusing precision and stability, effectively solves the problem that the scanning target in the dynamic scene is liable to defocus, and achieves the efficient adaptation of the dynamic scene.

The invention discloses a dual-light registration and infrared camera calibration method, which comprises the following steps of: synchronously acquiring a visible light image and an infrared image, and acquiring multiple groups of dual-light image pairs under different distances within a preset object distance range; cross-modal feature key points are extracted, a matching corresponding relation is established, registration parameters under object distances are generated, and a dynamic compensation database is constructed; lead arrays are embedded in a plurality of horizontal edges and a plurality of vertical edges of a traditional checkerboard calibration plate, and leads are driven to generate uniform heat radiation; checkerboard corner coordinates are accurately extracted based on developed heating side lines in the infrared image, a real-time target detection model software deep learning model is utilized to construct a multi-scale feature fusion network, and combined geometric fitting is carried out on checkerboards in the bimodal image; and carrying out adaptive region segmentation on the fitted checkerboard, and reconstructing a black and white alternate state of the visible light checkerboard. The technical problem of registration failure in a complex environment can be solved, and the stability and repeatability of calibration are improved.

The invention relates to the technical field of tunnel crack detection, and discloses a tunnel crack image identification method and a tunnel wall uniform image detection system. The method comprises the steps that tunnel images are collected, images belonging to cracks are calibrated to form an image set, and a crack target sample library is constructed; performing target detection identification on the collected tunnel image set, optimizing a target identification method according to an identification result, and outputting multiple tunnel crack disease detection images; extracting crack features from the collected tunnel image set; and based on the multiple tunnel crack disease detection images, performing pixel-level segmentation on the tunnel crack disease to complete tunnel crack identification. According to the invention, the traditional layout is broken, the requirements of closer shooting object distance and depth of field are met, and the detection requirement of smaller width of the welding seam is met; according to the algorithm level, a front image preprocessing part of deep learning training is optimized, especially contrast enhancement, multi-level fusion and the like are added, and the recognition accuracy of a tiny target can be further improved.

The utility model relates to an industrial lens, which sequentially comprises a first lens group with positive focal power, a second lens group with negative focal power and a third lens group with positive focal power along an optical axis from an object side to an image side, the first lens group and the third lens group are fixed lens groups, and the second lens group is a focusing group; the first lens group 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 negative focal power and a fifth lens with positive focal power; the second lens group comprises a sixth lens with positive focal power and a seventh lens with negative focal power; the third lens group comprises an eighth lens and a ninth lens which are opposite in focal power, a tenth lens with positive focal power and an eleventh lens with negative focal power. The industrial lens provided by the utility model has at least one of the characteristics of low distortion, high illumination, high resolution, wide focusing object distance range, no virtual focus in a temperature range from-40 DEG C to 80 DEG C, and the like.

The utility model discloses a VR glasses tester, which comprises a cavity and a rectilinear motion control assembly arranged in the cavity, and is also provided with a lens assembly I, a reflector, a lens assembly II and a shooting camera in sequence, the lens assembly II can linearly move along an optical axis through the rectilinear motion control assembly, one end of the lens assembly faces an object to be tested, and the other end of the lens assembly faces the camera. One end of the second lens assembly faces the shooting camera, light transmitted out of the first lens assembly enters the second lens assembly after being refracted by the reflecting mirror, the second lens assembly is driven by the linear motion control assembly to move to change the simulant distance, and the effect of changing the simulant distance is achieved. According to the optical system, display states of different actual distances can be simulated within a very small distance, the size of the device is greatly reduced, the optical system has a large field angle of 70 degrees, and the problem that an existing device is small in field angle is solved.

Disclosed are imaging systems and methods for dimension measurement independent of laser alignment. An example method includes: obtaining an image of the object captured underwater using an underwater imaging system comprising a camera and a laser source, wherein the image includes a representation of the object and a laser spot incident on the object; identifying, in the image, at least two points of interest on the object; determining an image-space distance between the at least two points as represented in the image; determining a location of the laser spot within the image; estimating a camera-to-object distance based on the location of the laser spot within the image and a calibrated spatial relationship between the camera and the laser source; and estimating the physical dimension of the object based on the image-space distance using the camera-to-object distance.

The invention discloses a spore microscopic imaging automatic focusing method and system based on a target recognition algorithm, and the method comprises the steps: analyzing the image focusing effect of spore images collected under different object distances in the process of changing the object distance of a microscope, and determining the optimal positive focus object distance based on the object distance corresponding to the spore image with the optimal image focusing effect; the image focusing effect is cooperatively determined based on the number of spores which can be recognized by using a target recognition algorithm in the image and a focusing evaluation value obtained by analyzing the image by using a focusing evaluation function; the image focusing effects of different images are preferentially determined according to the number of the spores which can be recognized; and when the number of the spores is consistent and the image focusing effect difference cannot be determined, further determining the image focusing effects of different images based on the focusing evaluation values of the images. According to the method, the problem of focal plane misjudgment caused by complicated background interference of micro-particle impurities such as pollen and dust in a spore microscopic image is solved.

The invention relates to the field of industrial visual inspection, and discloses an ultraviolet visible light confocal object image double telecentric imaging optical system which comprises a first lens, a second lens, a first gluing piece, a diaphragm, a second gluing piece, a third lens and a fourth lens which are sequentially arranged from an object plane to an image plane, and an optical axis serves as a rotation center. Wherein the object surface of the first lens is a convex spherical surface, the curvature radius of the first lens is 110.02 mm, the image surface of the first lens is a concave spherical surface, and the curvature radius of the first lens is 65.59 mm; the object surface of the second lens is a concave spherical surface, the curvature radius of the second lens is-200.11 mm, the image surface of the second lens is a convex spherical surface, and the curvature radius of the second lens is-130.80 mm. The system can be suitable for measuring an object with the object distance of 110 mm and an industrial camera with the imaging image surface diameter of 11 mm or below, the aperture of the system is F / 8, the system is also suitable for ultraviolet and visible light environments, it is ensured that lossless and high-contrast imaging can still be achieved in different light source environments, and therefore high-precision and high-reliability surface defect recognition and classification tasks are supported.

The invention discloses a depth measurement method, a camera calibration result evaluation method, equipment and a storage medium, and relates to the technical field of machine vision, and the method comprises the steps: obtaining an object distance and a collection image for a target feature point; calculating a sight line included angle according to the pixel coordinates of the target feature point in the acquired image; acquiring a principal point offset between the center and the optical center of the camera lens; and calculating depth information of the target feature point according to the triangle theorem in combination with the main point offset, the object distance and the sight line included angle. Therefore, the method can dynamically adapt to the spatial relationship between different feature points and the camera, corrects the measurement error caused by the fact that the attitude position of the feature point relative to the optical center is not considered in a traditional method, and improves the depth measurement precision of the camera.

A system and method for estimating object distance and / or angle from an image capture device may obtain an image including a fiducial marker captured by an image capture device; extract a pixel width and / or a pixel height of the fiducial marker in the image space of the image; determine, based on the pixel width and / or the pixel height, a known width and / or a known height, and one or more calibration parameters, a distance of the fiducial marker from the image capture device; estimate, based on the pixel width, the pixel height, the known width, and the known height, a yaw angle of the fiducial marker with respect to the image capture device; determine, based on a slope of a positional vector of the fiducial marker, a roll angle of the fiducial marker with respect to the image capture device; and / or provide the distance, the yaw angle, and / or the roll angle.

An optical display system has an optical waveguide combiner and one or more cameras. The one or more camera(s) is optically coupled to the optical waveguide combiner and have a field of view of at least one real object and at least one virtual object displayable by the optical display system. The one or more camera(s), which may be for example wafer level waveguide camera(s), may be disposed outside the usable field of view of an output coupler. The one or more camera(s) may be self-calibrated electronically using images captured by the cameras of one or more virtual object(s) displayable by the optical display system. AR / VR / MR registration of devices and / or displayed virtual objects with real objects may be implemented using the images captured by the one or more camera(s) of the displayed virtual objects and real world objects. Real object distance and / or spatial location relative to the optical waveguide combiners may be determined or estimated from the captured images.

The invention discloses a target positioning method and system based on target height correction monocular distance measurement, and the method comprises the steps: carrying out the calibration of a ship-borne camera through a data set, employing a YOLO target detection model, carrying out the detection of video data collected by the ship-borne camera, and obtaining the bounding box information of a target; and secondly, according to bounding box information, calculating a yaw angle of the target relative to a main point of the shipborne camera, and obtaining an azimuth angle by combining an orientation angle of the main point of the shipborne camera. And then height correction is carried out to measure the distance between the target ship and the shipborne camera. And finally, according to the azimuth angle and the distance, combining the latitude and longitude coordinates of the shipborne camera to obtain the actual geographic latitude and longitude coordinates of the target ship. According to the method, the goodness of fit between distance measurement and actual image geometry is improved, the actual object distance is reflected more accurately, and accurate and efficient target positioning is carried out.

The present invention relates to a reading and writing table device with peripheral defocus and unobstructed vision, which includes a housing, a beam splitter, an eyepiece, and an object distance adjustment panel. The housing is a closed frame structure with an open front sidewall. The eyepiece is embedded on the rear sidewall of the housing. The eyepiece includes a concave mirror and a retroreflective lens tightly surrounding the periphery of the concave mirror. A beam splitter is inclinedly arranged in the housing between the open part of the housing and the eyepiece. The object distance adjustment panel is embedded on the lower sidewall of the housing, and the size of the object distance adjustment panel is adapted to the size of the retroreflective lens, so that the middle area of the picture seen by the human eye through the reading and writing table device is a virtual image, and the peripheral area is a real image, which can achieve the effect of preventing and controlling myopia. The included angle between the sidewall of the housing and the eyepiece satisfies a certain relational expression, so that the included angle between the sidewall of the housing and the eyepiece can be determined according to the exit angle of the marginal light rays, so as to achieve the viewing effect that the vision is not blocked by the housing, and improve the use experience and visual effect.

The industrial lens comprises a focusing lens group, a diaphragm and a fixed lens group which are sequentially arranged from an object plane to an image plane along an optical axis, the position of the focusing lens group can float along the optical axis, and the position of the fixed lens group is fixed; the focusing lens group comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens which are sequentially arranged from an object plane to an image plane along an optical axis; the fixed lens group comprises a seventh lens, an eighth lens, a ninth lens and a tenth lens which are sequentially arranged from the object plane to the image plane along the optical axis. The focusing lens group moves along the optical axis to realize focusing of different object distances, and the fixed lens group is fixed, so that the influence of focusing to different object distances on resolution can be reduced, and the balance of the image quality of each working distance is ensured. And the number of the lenses in each lens group is reasonably set, so that the industrial lens with high image quality imaging performance can be realized.

The drainage catheter device is composed of a soft drainage tube, a homogeneous transparent body and a visual module based on integration of a light source and a camera, the head end of the homogeneous transparent body is arc-shaped, the tail end of the homogeneous transparent body is flat and is matched with and connected with the diameter of the drainage tube, and the length of the transparent body is larger than or equal to the object distance of the visual module. One or more side holes are formed in the side face, close to the tail end of the transparent body, of the drainage tube, and the side holes are drainage holes of the drainage tube. According to the drainage catheter device, a one-cavity dual-purpose using method is adopted, the drainage catheter device can be used as a visual cavity and can also be used as a drainage cavity, it can be guaranteed that the diameter of the soft drainage catheter body is small, and trauma to brain tissue is smaller.

The invention relates to an industrial code reading control method and a high-speed response system based on device collaborative optimization, and the method comprises the steps: synchronizing image data and three-dimensional coordinates of a plurality of visual devices, and generating a multi-view image sequence with a unified timestamp; extracting two-dimensional bounding box coordinates of the target object to establish a motion trail prediction model; constructing a space projection relation by combining the three-dimensional coordinates of the equipment; fusing the multi-view data to solve the three-dimensional position and attitude of the target object; calculating illumination, object distance and motion blur coefficients in real time based on pose parameters, and dynamically adjusting exposure time, gain and focal length of each device; acquiring an image by using the adjusted equipment, detecting a code system area, and performing geometric correction to generate a standardized image; and outputting a code reading result after decoding. And through multi-device collaborative optimization and dynamic parameter adjustment, the decoding success rate and efficiency under complex working conditions are remarkably improved.

An embodiment of the present invention discloses a method, apparatus, electronic device, and storage medium for fire point detection. According to the minimum object distance and the maximum object distance in the collected image frame, the embodiment of the present invention determines the target position of the focusing lens group, so that the collected image based on the target position of the focusing lens group can achieve the maximum detection clarity. In the detection of the suspected fire point area, the focusing lens group moves from the nearest position corresponding to the minimum object distance to the farthest position corresponding to the maximum object distance, realizing the movement in the dimension of the lens focusing lens group, and solving the problem that the depth of field of the lens is insufficient in the multi-object distance scene and cannot cover all fire points. The embodiment of the present invention ensures that in the multi-object distance scene, multi-object distance fire points in the scene image can be detected, improving the accuracy of fire point detection.

The invention discloses a building outer wall defect intelligent inspection analysis method and device based on an unmanned aerial vehicle. The intelligent inspection analysis method comprises the steps that a building CAD model is imported, and inspection parameters are set; the path planning module generates a parallel flight path; the laser radar measures the distance from the wall surface in real time, and meanwhile image interference caused by high-altitude wind noise is removed; the data acquisition module synchronously acquires an infrared image, a visible light image and object distance data; utilizing the trained AI model to intelligently identify defects and calculating defect areas; and generating a visual report. According to the intelligent inspection analysis method, automatic identification and automatic early warning of wall surface defects can be realized, a visual report can be generated, and compared with a traditional inspection mode of manual identification and labeling, the inspection efficiency and accuracy can be greatly improved, and high-altitude operation is not needed.

The invention discloses a self-adaptive visual tactile sensor and an adjusting method, the self-adaptive visual tactile sensor comprises a base and a shell, a control panel, a camera and at least one light source assembly are fixedly arranged on the base, a contact assembly is fixedly arranged at the upper end of the shell, and the self-adaptive visual tactile sensor is characterized in that a light source rotation driving mechanism is arranged on the base, and a liquid lens is fixedly arranged on the base; the liquid lens is located between the camera and the contact assembly, the center of the liquid lens and the optical axis of the camera are located on the same straight line, and the local focal length of the liquid lens and the included angle between the light source assembly and the horizontal plane can be automatically adjusted through electric signals sent by the contact assembly. The system has the advantages that imaging of the camera is clear, and the imaging quality is ensured; moreover, the camera achieves secondary focusing through the liquid lens, so that the camera does not need to adjust the position of the lens for imaging of different object distances, the focusing distance between the contact assembly and the camera is greatly shortened, and the overall size of the visual tactile sensor is reduced.

The invention relates to an image processing method and device, electronic equipment and a readable storage medium. The method comprises the following steps: in response to zooming operation, obtaining a current zooming magnification and a target zooming magnification; determining a target camera according to the current zoom ratio and the target zoom ratio; according to at least one of the distance between the current camera and the target camera, the object distance or the outflow speed of the target camera, determining a first number of fused zoom magnifications from the current zoom magnification to the target zoom magnification; obtaining a second number of pre-fusion zoom magnifications from the current zoom magnification to the target zoom magnification, obtaining a target number of transition zoom magnifications based on the first number of fusion zoom magnifications and the second number of pre-fusion zoom magnifications, and processing the output image data according to the target number of transition zoom magnifications, and obtaining target image data. By adopting the method, rapid zooming can be carried out while smooth zooming is realized.

The embodiment of the invention provides an automatic focusing method and system based on image processing, and the method comprises the steps: collecting a positive focus target image when a target object distance is detected to be in a positive focus distance, and calculating a standard wavelet power spectrum of the positive focus target image based on HVS weighting; acquiring an out-of-focus target image along the same direction with an initial step length, comparing the out-of-focus target image, calculating a focus detection function value of the out-of-focus target image, and adjusting the initial step length and the direction based on the focus detection function value; continuing to collect the out-of-focus target image based on the adjusted step length and direction until reaching the extreme point, and comparing the extreme value wavelet power spectrum of the extreme point with the standard wavelet power spectrum; if not, the output extreme point is a positive focus position; and if not, jumping out of the local area corresponding to the extreme point, and repeating the cycle step from the initial step length to collect the defocused target image along the same direction until the focus detection function value of the extreme point is not less than the standard wavelet power spectrum.

The invention relates to the technical field of virtual reality imaging devices, and discloses a virtual image imaging device, which comprises an image generation unit, a micro-structure flat plate assembly and a curved surface reflecting mirror, and is characterized in that the micro-structure flat plate assembly comprises a first micro-structure flat plate and a second micro-structure flat plate; the distance between the first flat plate surface of the first microstructure flat plate and the second flat plate surface of the first microstructure flat plate is d, dgt; 0; the distance from the image generation unit to the microstructure flat plate assembly is L1, the distance from the microstructure flat plate assembly to the curved surface reflector is L2, and the focal length of the curved surface reflector is f, L1 + L2lt; f. The object distance is within one time of the focal length of the curved reflector, so that human eyes can see a virtual image through the virtual image imaging device. Through the back-to-back arrangement of the second micro-structure flat plate and the first micro-structure flat plate, different optical path differences of light rays penetrating through the first micro-structure flat plate at different positions are compensated, so that dispersion is reduced, and the imaging quality of the virtual image imaging device is improved.

A distance measurement device includes a light emitter for transmitting pulsed light and a light receiver for detecting reflected light from an object, providing an output signal. The device has at least one of a circuit or a processor with memory storing executable computer program code. The circuit or processor calculates an object distance using the time of flight of the pulsed light. Additionally, a histogram representing received light intensity for each time of flight is generated from the output signal. The device determines whether the object is within a short-distance range based on the timing of a peak in the histogram, and calculates the object distance using both a feature value related to the number of light reflections and the timing of the peak's decline.

The utility model discloses a machine vision prime lens with an improved structure and a focal length of 35mm, which comprises a first lens, a second lens arranged on the right side of the first lens, a third lens arranged on the right side of the second lens, a fourth lens arranged on the right side of the third lens, and a diaphragm arranged between the fourth lens and the third lens. A fifth lens is arranged on the right side of the fourth lens, an imaging surface is arranged on the right side of the fifth lens, the focal length of the first lens is G1, the focal length of the fourth lens is G4, the focal length of the lens is f, and the optical system meets the relational expression 0.8 lt; g1 / flt; 1.3, 0.6 lt, 1.3, 0.6 lt; g4 / flt; and 0.8. The utility model has the advantages of novel design, simple structure, simple and convenient assembly, low cost, good optical performance, clear imaging and high resolution, and can realize the change of the object distance from 0.1 m to infinity.

The application provides a liquid lens focus stack imaging method, system and electronic equipment, and belongs to the technical field of optical imaging detection. The method comprises the following steps: a power supply module is controlled to provide a driving voltage for a liquid lens to form an image on a CMOS array; an image collected by the CMOS array is acquired, all images are aligned based on the image when the driving voltage is lowest, and an image sequence of a constant magnification focus stack is obtained; a focus state of the image sequence is evaluated, the image sequence is fused based on the focus state evaluation result, and a full-focus image is obtained; the object distance of the collected image is determined, a depth map is generated based on the object distance and the full-focus image, and a target image is generated based on the full-focus image and the depth map. The application aligns all collected images based on the image when the driving voltage is lowest, and solves the technical problem of low imaging accuracy existing in the existing focus stack imaging technology.

The invention discloses a steel plate blanking line visual inspection object distance dynamic regulation and control method and system based on production information fusion, and belongs to the technical field of steel plate production automation. The method comprises the following steps: collecting multi-dimensional disturbance data in real time; carrying out fusion processing on the steel plate parameter information, the production line operation information and the additional parameter information, and calculating object distance offset through a pre-constructed dynamic offset prediction model; based on the object distance offset, driving the lifting platform to move the visual detection equipment to a target position before the steel plate reaches the detection area; in the moving process of the steel plate, the deviation value of the real-time object distance and the target position is collected, fine adjustment of the object distance is carried out, and the target position is dynamically optimized according to the image quality evaluation value output by the visual detection equipment. According to the technical scheme, full-automatic precise regulation and control of the object distance can be realized, manual operation errors and collision hidden dangers are eliminated, the production line suitability and the detection efficiency are improved, and the visual detection precision under high-speed and multi-variety production scenes is guaranteed.