350 results about "Object distance" patented technology

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 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.

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.

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 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.

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.

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.

To reduce the size and weight of a lens group to be driven in a zoom lens.SOLUTION: The zoom lens L0 includes a negative first lens group, a positive intermediate group, and a negative subsequent group, and the intermediate group includes positive first and second intermediate lens groups. During zooming, the first lens unit is configured not to move, and the first and second intermediate lens units are configured to move. The first lens group includes two or more lenses. Where mp1 and mp2 are amounts of movement of the first and second intermediate lens units during zooming from the wide-angle end to the telephoto end, fp1 and fp2 are focal lengths of the first and second intermediate lens units, fw and ft are focal lengths of the zoom lens at the wide-angle end and the telephoto end, and TTLw is a sum of a distance from a lens surface closest to the object side to a lens surface closest to the image side at the wide-angle end and a distance from the lens surface closest to the image side to the image plane. 0.10 ≤ mp2 / mp1 ≤ 0.82, 1.23 ≤ fp2 / fp1 ≤ 10.00, 1.50 ≤ ft / fw ≤ 6.00, and 0.10 ≤ TTLw / fw ≤ 10.00 are satisfied.SELECTED DRAWING: Figure 1

The present disclosure relates to an apparatus and method for estimating a distance to an object. More particularly, the apparatus includes a camera for capturing surrounding images, a LiDAR for generating a projection image by analyzing surrounding three-dimensional spatial positions, an object detection model for detecting objects in the images, a depth estimation model for estimating distances to the objects, a training unit for training the object detection model and the depth estimation model, and an estimation unit for detecting the objects in the images and estimating the distances to the objects using the object detection model and the depth estimation model. The apparatus and method may detect objects and estimate distances to the objects by using only a single camera image.

To reduce a workload in a prospect survey.SOLUTION: An accept unit 112 accepts a target object distance Dt which is the distance from a determination target object Ot to a first antenna A1 among a plurality of objects O included in a captured image obtained by imaging a direction from the first antenna A1 to a second antenna A2. Based on the target object distance Dt, a determination unit 113 determines whether the determination target object Ot servers as an obstacle to wireless communication between the first antenna A1 and the second antenna A2. When the determination result of the determination unit 113 is negative and an object O that is closer to the first antenna A1 next to the determination target object Ot exists inside a Fresnel circle Sf, the accept unit 112 accepts a new determination target object distance Dt while setting the object O as a new determination target object Ot. The accept unit 112 repeats the acceptance and the determination unit 113 repeats the determination until there is no more object O located inside the Fresnel circle Sf and between the first antenna A1 and the second antenna A2.SELECTED DRAWING: Figure 3

The application discloses a stereovision-based slurry and slag identification method, and belongs to the technical field of tunnel construction, and specifically comprises the following steps: two same cameras are placed above the slurry and slag, fixed after being adjusted to the same height and the imaging half-frames are overlapped; a calibration plate is shot to obtain the baseline distance of the optical centers of the two cameras; the exposure time is determined in combination with the camera accuracy, the slurry and slag movement speed and the imaging magnification; two images of the slurry and slag are synchronously shot, the coordinate system is established, the sight distance difference and the imaging point spacing are calculated, the object distance is solved based on the geometric relationship constructed by the Gaussian imaging formula and the slurry and slag point position and the imaging plane and the camera optical center; finally, the three-dimensional point cloud model is established according to the object distance, and the slurry and slag shape, volume and surface area are output. The application solves the problems of motion blur, image distortion and the inability to accurately identify the size of the slurry and slag in the identification of the slurry and slag, can improve the identification accuracy, and meets the intelligent and refined construction requirements of large shield projects.

The application discloses a high-resolution oblique-axis optical lens, comprising, from the object side to the image side, a first lens, a second lens, a third lens, a fourth lens, a diaphragm, a fifth lens, a sixth lens, a seventh lens, an eighth lens, a ninth lens, a protective glass and an image sensor; the first lens is a filter; the second lens is a biconvex spherical lens with positive focal power; the third lens is a spherical lens with negative focal power; the fourth lens is a spherical lens with positive focal power; and the fifth lens is a biconcave spherical lens with negative focal power. The technical scheme balances and corrects optical aberrations of all levels by reasonably distributing the focal power of the lenses, reasonably matching the optical materials and shapes, and utilizes the cylindrical lens to correct astigmatism caused by the optical path of the meridian arc vector plane of the protective glass, so that the advantages of large target surface, low distortion, ultra-short object distance, high resolving power and the like of the lens are achieved.

The application relates to a zoom tracking curve determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring imaging data of a camera, wherein the imaging data comprises a camera parameter and a predicted object distance; calculating a depth of field based on the imaging data, taking a corresponding preset zoom tracking curve set in which a reference object distance is located in the depth of field as a curve search range; and performing curve search based on the curve search range to determine a target zoom tracking curve. By acquiring the predicted object distance, the search range of the zoom tracking curve is reduced, and zoom and focusing operations are performed in the limited curve search range, so that the image definition in the whole zooming and focusing process of the camera can be ensured.

The utility model relates to an imaging 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 and a fourth lens with negative focal power; the second lens group comprises a fifth lens with positive focal power and a sixth lens with negative focal power; the third lens group comprises a seventh lens, an eighth lens and a ninth lens, wherein the seventh lens and the eighth lens are opposite in focal power, and the ninth lens is positive in focal power. The imaging lens at least has one of the characteristics of wide object distance, low distortion, high illumination, no virtual focus at high temperature, athermalization and the like.

The application discloses a three-camera-based multi-band image edge gray gradient focusing device and method, and relates to the field of focusing. The illumination module is used for emitting illumination light of complex color. The illumination light is projected onto a sample to be measured on an objective table through a microscope objective. Reflected light reflected by the sample to be measured enters the imaging module. The imaging module obtains images of different bands according to the reflected light. The image analysis and control module is connected with the illumination module and the imaging module. The image analysis and control module is used for extracting edge gradients of the images of different bands, determining defocusing distances of the corresponding bands according to the edge gradients of the images of different bands, determining the object distance between the microscope objective and the sample to be measured according to the defocusing distances of different bands, and moving the microscope objective to focus according to the object distance. The application can realize fast and high-precision automatic focusing.

A distance measuring device (100) is provided with: a light emitting unit (40) that emits pulsed light; a light receiving unit (60) that receives reflected light of the pulsed light based on an object and outputs an output signal (Sout); and a calculation unit (210) that calculates the distance of the object using the time of flight of the pulsed light. The calculation unit is provided with: a histogram generation unit (230) for generating, on the basis of the output signal, a histogram (HG) indicating the received light intensity of the reflected light for each time of flight; a short-distance determination unit (240) that determines whether or not the object is in the distance range on the basis of the rising timing (RT) of the peak (PK) in the histogram; a feature quantity acquisition unit (250) that acquires a feature quantity relating to the number of reflections on the basis of the histogram; and a distance calculation unit (260, 260b) that, when the object is in the close range, calculates the object distance on the basis of the feature amount and the falling timing (FT) of the peak value.

The invention discloses an imaging system, which is characterized by comprising a front objective lens group, a light splitting assembly and a rear objective lens group, wherein the objective lens front group has positive focal power and comprises a first lens with negative focal power, a second lens with positive focal power, a third lens with negative focal power and a fourth lens with positive focal power which are sequentially arranged from an object side to an image side; the objective lens rear group has positive focal power and comprises a fifth lens with positive focal power, a sixth lens with negative focal power, a seventh lens with positive focal power and an eighth lens with negative focal power which are sequentially arranged from the object side to the image side; the light splitting assembly is arranged between the objective lens front group and the objective lens rear group; when the object distance changes, the imaging system is focused by adjusting the position of the objective lens front group relative to the light splitting assembly; the number of the lenses with focal power in the imaging system is eight; and the effective focal length value Fa of the front group of the objective lens and the total effective focal length value F of the imaging system meet the condition that Fa / F is greater than or equal to 2.674 and less than or equal to 3.460.

The invention discloses an inner wall defect panoramic imaging detection microscope and a detection method thereof.The microscope comprises an imaging mechanism, a light transmission mechanism and a 30-degree annular illumination light source, and illumination light beams of the 30-degree annular illumination light source irradiate a local annular area of the inner wall of a cavity to be detected; a reflected light beam or a scattered light beam in the area is reflected by a right-angle conical reflecting mirror in the light transmission mechanism, enters a hollow light tube in the light transmission mechanism, is transmitted to a prime lens and is received by an area-array camera; the microscope is controlled by an external system to move along the central axis of the inner wall of the to-be-detected cavity, and images are acquired by using the area-array camera, so that panoramic images of all areas of the inner wall of the to-be-detected cavity are scanned, and the detection of the defects of the inner wall of the to-be-detected cavity is completed. When the diameter of the inner wall of the to-be-detected cavity is changed, an external driving controller is used for controlling an imaging module in the imaging mechanism to move, so that the initial object distance is recovered, and panoramic imaging detection of the inner wall defect of the to-be-detected cavity with the changed inner wall diameter is realized.

The application provides a kind of deep learning optical imaging system design method based on complex function neural network, comprising the following steps: step one, object distance, system focal length, F number as input, according to the ideal optical system imaging relationship, determine image distance, imaging scale ratio;Step two, according to the imaging scale ratio and the object image of ideal optical system, the image of ideal optical system is calculated;Step three, construct complex function generator network model, step four, construct discriminator network model, step five, after the establishment, training of the above-mentioned complex function neural network deep learning model, step six, use phase.The deep learning optical imaging system design method based on complex function neural network provided by the application solves the correlation between the advantages and disadvantages of the design result and the experience value of the designer, without the designer providing initial structure parameters;Greatly improve the computing ability and optimization speed.