1877 results about "Camera lens" patented technology

The invention discloses an image analysis method and system for concrete apparent quality defect detection, and relates to the technical field of concrete apparent quality defect detection.The method comprises the steps that a camera device is used for collecting concrete surface images in a specified distance interval, and the optical axis of a camera lens is controlled to be perpendicular to the concrete surface; carrying out image preprocessing on the collected concrete surface image, and carrying out defect type image marking; carrying out key feature extraction on the preprocessed concrete surface image by adopting a convolutional neural network to obtain key feature information; constructing a multi-algorithm comparison verification framework, performing cross validation in combination with the key feature information to obtain defect detection results and evaluation results of a plurality of defect detection models, optimizing model parameters in combination with a confusion matrix, and determining a final concrete surface detection model; obtaining an apparent quality defect detection result based on the defect detection result and a preset quality defect grading threshold value; the efficiency of concrete apparent defect detection is improved.

The invention discloses a security camera lens production process dynamic multi-parameter process monitoring method, and relates to the technical field of multi-parameter process monitoring. The method comprises the following steps: collecting process parameters and waviness characteristic data; collecting optical characteristics and physical response data of security camera lens raw materials; discretizing the data, and generating raw material standard data according to material types and performance; collecting real-time polishing data, and calculating to obtain a polishing deviation factor vector; calculating a weight through an entropy weight method to obtain a polishing alarm correction index, giving an alarm and adjusting polishing parameters when the polishing alarm correction index exceeds a threshold value, and obtaining corrected geometric feature data; the method comprises the following steps: collecting data in a coating stage, obtaining coating material response and processing environment data through a two-dimensional feature extraction method, and respectively calculating a material response deviation index and a processing environment disturbance index; and combining the two indexes to obtain the comprehensive deviation index of the coating process. According to the comprehensive deviation index of the coating process, the production process of the security camera lens is monitored in real time.

The invention relates to the technical field of industrial cameras, and discloses a visual positioning control system and method for an industrial camera, and the system carries out the calculation of an environment pollution index and an image definition change value through monitoring the internal environment of a working region and monitoring the definition of an image shot by the industrial camera. And calculating a lens pollution index by combining the environmental pollution index and the image definition change value, judging whether the current lens needs to be cleaned or not according to the lens pollution index, sending a cleaning signal to a cleaner to clean the lens under the condition that cleaning is needed, and cleaning the lens according to the change of the environmental factors and the image definition according to the change of the environmental factors and the image definition. According to the method, the probability of pre-judging lens pollution can be visually found, so that the lens pollution can be cleaned conveniently, the complexity of manual inspection is avoided, misjudgment and missed judgment are reduced, the working sensitivity of the industrial camera is improved, the problem of industrial camera lens pollution is effectively solved, and the working efficiency and the image quality of the industrial camera are improved.

The invention relates to the technical field of image recognition, in particular to a construction site-oriented reinforcing steel bar binding normativity visual detection method, which comprises the following steps of: driving a camera lens to shoot a focus stack image sequence covering the depth of field before and after a single binding node, extracting a linear contour, and obtaining a multi-dimensional image set of a binding area. According to the method, the focus stack image sequence covering the depth of field before and after the single binding node is shot by the driving camera, and the mapping of the line segment coordinates and the depth of the reinforcing steel bar is established, so that the problems of mutual shielding and depth confusion caused by staggered reinforcing steel bars in the construction site are solved; on the basis, a steel bar binding topology network diagram describing the connection relation between steel bar intersection points is constructed, discrete steel bar line segments and intersection point information are integrated into an overall network with a global structure relation, detection is not limited to isolated nodes any more, and evaluation can be conducted from systematicness and continuity of a whole steel bar framework.

A method of adaptably detecting dirt, occlusion and smudge on camera lens and image sensor includes capturing an image; subjecting original pixels of the image to sampling to result in sampled pixels; excluding outliers of the sampled pixels to result in retained pixels; obtaining an average value of the retained pixels; obtaining a tolerance value according to luminance values of the retained pixels; generating a threshold value for determining dirt, occlusion and smudge on camera lens and image sensor in the image according to the tolerance value and the average value of the retained pixels; and comparing a luminance value of at least one pixel of the image with a corresponding threshold value.

The invention discloses a camera SFR testing device with a focal length adjustable function, and particularly relates to the technical field of camera SFR testing, which comprises a machine body, an image analyzer used for analyzing an image acquired by a camera and performing SFR testing, a mounting seat used for mounting the camera, and a measurement pattern generator used for providing a measurement pattern, a central processing unit is arranged on one side of the image analyzer, a position adjusting structure and a clamping stabilizing mechanism are arranged on the inner side of the machine body, and the clamping stabilizing mechanism is used for clamping and fixing a camera lens so as to prevent the camera lens from vibrating; the system further comprises a lens position capturing module, a vibration amplitude acquisition module and a vibration frequency acquisition module. The problem that the telescopic camera is out of focus due to lens vibration in the focal length adjusting process is solved, and the image definition and the SFR test accuracy are ensured through real-time vibration monitoring and intelligent adjustment.

Disclosed herein is a point of view camera system. The point of view camera system includes a camera mount configured to attach to a headwear, the camera mount including a base configured to secure the camera mount to the headwear, a first camera including a first image sensor and a first camera lens, a second camera including a second image sensor and a second camera lens, and a camera housing configured to attach to the camera mount. The camera housing includes a first opening configured to receive and secure the first camera and a second opening configured to receive and secure the second camera.

The invention provides a hidden camera detection method and system based on image recognition. The method comprises the following steps: scanning an area to obtain an image data set; based on optical characteristics of a hidden camera lens material, reflectivity difference feature vectors under different wavebands are extracted; inputting the feature vectors into a neural network to generate comprehensive feature representation; scanning the same detection point, obtaining a time sequence feature sequence, and analyzing the time consistency of the features; detecting and analyzing the suspected camera area, and calculating a roundness coefficient C as C < gt >; 0.7, judging that geometrical characteristics of the lens are met; determining coordinates of the hidden camera in the three-dimensional space; according to the comprehensive feature representation, the time sequence consistency analysis result and the geometrical shape verification result, calculating the existence probability Pfinal of the hidden camera, wherein Pfinal gt; and when 0.85, outputting a detection alarm signal, and displaying a detection result and three-dimensional positioning information. The detection accuracy can be improved, and the false alarm rate can be reduced.

A built-in range-finding infrared camera lens is provided, including a lens barrel, an infrared lens, a laser transceiver and a laser lens. An outer edge of the infrared lens has a notch. The infrared lens and the laser lens are both fixedly mounted at a front end of the lens barrel, and the laser lens is embedded in the notch. The laser transceiver is fixedly mounted at a rear end of the lens barrel. A laser ranging optical axis corresponding to the laser lens is parallel to an infrared optical axis corresponding to the infrared lens. In this way, the infrared lens, the laser lens and the laser transceiver are all fixedly mounted in the lens barrel, and are connected into a whole through the lens barrel without the needs of additional adapter components or other mounting procedures.

The invention relates to the technical field of path planning, in particular to an unmanned aerial vehicle intelligent inspection method and system for a non-stop fan. Comprises: obtaining a target static parameter, an environment parameter and a target dynamic parameter; according to the initial position of the unmanned aerial vehicle, the target static parameter and the blade rotating speed, identifying and obtaining an unmanned aerial vehicle inspection path set; wherein the unmanned aerial vehicle inspection path comprises an unmanned aerial vehicle inspection point; predicting angles among a visual equipment camera lens, a blade surface normal and solar rays when the unmanned aerial vehicle shoots at the inspection point, and obtaining an inspection quality coefficient in combination with the three-dimensional contour of the to-be-inspected area of the blade; according to the target static parameter, the target dynamic parameter and the environment parameter identification, obtaining an inspection safety coefficient representing the operation stability degree of the unmanned aerial vehicle; according to the invention, optimization identification is carried out through the inspection quality coefficient, the inspection safety coefficient and the inspection path total duration of the unmanned aerial vehicle inspection point, and the optimal inspection path is obtained.

The invention belongs to the technical field of electric power inspection, and discloses a power distribution equipment unmanned aerial vehicle and an inspection method. The bottom of the unmanned aerial vehicle body is fixedly connected with a camera; the camera is fixedly connected with a camera air injection assembly, and the air outlet end of the camera air injection assembly faces the camera lens. The unmanned aerial vehicle body is provided with a moving assembly which is movably connected with the cable. The moving assembly is fixedly connected with a beating assembly; the beating assembly comprises a rotating block, a rubber sleeve, a first rotating plate, a transverse shaft, a torsional spring, a rotating bearing and a connecting transverse rod, the transverse shaft is fixedly connected with the side wall of the moving assembly, the inner end of the torsional spring is fixedly connected with the moving assembly, and the outer end of the torsional spring is fixedly connected with the first rotating plate; according to the invention, the accuracy of an image collected by the camera is ensured, blurring is avoided, dust removal while moving is realized, the outer wall of a cable is cleaned, and the surface of the cable is inspected in a later period.

A pop-up sensor head with a camera transitions between a retracted and extended state. While retracted, the camera lens is covered. While extended, the camera lens is exposed and available for use. A motor maintains the sensor head at a setpoint position, such as in the retracted or extended state. A position data, such as from a Hall effect sensor associated with the motor, may be used to determine a displacement of the sensor head due to an external force being applied, such as a user pressing on the sensor head. Responsive to this input, the sensor head may transition between the retracted and extended state.

Provided are a display apparatus and a method. The display apparatus includes a display, an interface component configured to connect with a rotatable camera and a controller. The controller is configured for: obtaining a reference image captured by the camera, where the reference image comprises one or more persons with one or more face patterns; extracting a tracking target area from the reference image according to a current imaging parameter of the camera, where the tracking target area is a regular-shaped area determined according to one or more weights for the one or more face patterns, the current imaging parameter of the camera comprises a focal length of the lens component of the camera; and sending a rotation instruction to the camera to adjust an orientation of the camera to cause the tracking target area locate in a middle area of an image presented on the display.

The present invention discloses a movable visual inspection device for shield machines, comprising a rail and an inspection platform. The rail is installed on a shield tail, and the inspection platform includes a bottom plate, a shell, a cleaning mechanism, a power storage control system, and a traveling mechanism. Inside the shell is a visual inspection mechanism with a camera box, a camera, and a stabilizer component. The traveling mechanism drives the bottom plate along the rail. The cleaning mechanism, consisting of a glass sheet, a reel driving part, and a cleaning film, keeps the camera lens clear. The reel driving part rotates the cleaning film, which slides against the glass sheet on the camera box. This invention enables multi-faceted and multi-angle visual inspection of shield machine segments, ensures a clear camera lens, facilitates automatic cleaning and inspection position adjustment, and enhances working efficiency and inspection effectiveness.

The invention discloses an electrolyte cylinder curled edge measurement and defect detection device, and relates to the field of electrolyte cylinder detection. The detection table is arranged below the carrier plate, and the electrolyte cylinder is conveyed to the detection table through the carrier plate; the jacking mechanism is arranged on the detection table at the lower part of the carrier plate and comprises a plurality of groups of jacking rollers which are symmetrically arranged and a driving mechanism; when the electrolyte cylinder is conveyed to the position over, the electrolyte cylinder is jacked up from the carrying plate through the jacking rolling wheels, and a cylinder body of the electrolyte cylinder is lifted; the detection mechanism is mounted above the carrier plate through a bracket and comprises two groups of camera lenses, and the camera lenses are aligned to the curled edges on the two end surfaces of the electrolyte cylinder; when crimping images are shot, the driving mechanism drives the jacking roller to rotate, the electrolyte cylinder is driven to circumferentially roll at the position of the detection table, and the camera lens continuously shoots the crimping images of the two end faces of the electrolyte cylinder. The problems that traditional manual detection is low in efficiency and poor in precision are solved, and the device has the advantages that all-round continuous detection of the curled edge of the electrolyte cylinder is achieved, and the measurement precision and efficiency are improved.

The invention belongs to the technical field of three-dimensional scanners, and discloses a camera lens module and a three-dimensional scanning device.The camera lens module comprises an installation support, an optical lens assembly and a camera PCBA board, the installation support comprises a lens installation part and a camera module installation part, and the lens installation part and the camera module installation part are integrally formed and connected; a plurality of lens mounting positions are arranged in a first mounting cavity of the lens mounting part; the optical lens assembly is arranged in the first mounting cavity, the multiple optical lenses correspond to the multiple lens mounting positions one to one, and the lens mounting positions are used for restraining the optical lenses; the camera PCBA board is detachably connected to the camera module installation part. According to the camera lens module, the stability of internal parameters of the camera lens module can be improved, the imaging virtual focus phenomenon is prevented, and the scanning precision of three-dimensional scanning equipment is improved.

The invention relates to the technical field of computer vision, and discloses a Monte Carlo tree search-based camera lens assembly focusing calibration algorithm and system, and the algorithm comprises the steps: constructing a three-dimensional search space comprising a focus position, a horizontal inclination angle and a vertical inclination angle, and combining a high-contrast cross wire test pattern to generate a local definition matrix; calculating an initial inclination angle based on the matrix to construct a root node of the Monte Carlo tree; according to the algorithm, an optimal search path is dynamically selected by applying an upper confidence bound strategy, child nodes are expanded in a three-dimensional space, physical adjustment is executed, and optimal three-dimensional configuration parameters are finally determined based on node scores through back propagation iterative optimization. The method breaks through a traditional one-dimensional search framework, effectively avoids a pseudo peak trap caused by inclination of a lens-sensor axis, improves the calibration precision and efficiency of the full-view-field definition of the camera, and achieves the precise positioning of a global optimal solution under a complex assembly tolerance.

Methods of enhancing visualization of a body lumen. A device including a capsule endoscope and a plurality of struts attached thereto may be positioned into the body lumen. The plurality of struts of the device may self-expand within the body lumen from a constrained configuration to an expanded configuration in which the plurality of struts extend both radially and axially away from a camera lens of the capsule endoscope so as to form a frame around the camera lens in the expanded configuration. The camera lens may image through the frame into the body lumen. At least a portion of the frame or a material constraining the struts of the frame may dissolve to allow passage of the device from the body lumen.

The invention provides an optical correction camera lens module and an imaging method thereof. The method comprises the following steps: extracting a radial distortion parameter and a tangential distortion parameter from an original imaging image; performing target identification on the original imaging image to obtain a plurality of identification targets, performing regularized screening to obtain a regularized identification target, extracting a pixel reduction matrix of the regularized identification target based on a regularized target library, performing region reconstruction on a corresponding region of the original imaging image according to the pixel reduction matrix, and performing region reconstruction on a corresponding region of the original imaging image; extracting a radial distortion correction parameter and a tangential distortion correction parameter according to the reconstructed image area; and constructing an optical correction model based on the radial distortion correction parameter and the tangential distortion correction parameter, performing distortion correction on the original imaging image through the optical correction model to obtain a target imaging image, extracting a regularized identification target according to the original imaging image, and extracting a dynamic distortion correction parameter through the regularized identification target to obtain the target imaging image. And the real-time performance of imaging distortion correction is improved.

A rim lock camera accessory mount includes a connector on an attachment section that interfaces with a camera lens to secure the rim lock camera accessory mount to the camera lens. The attachment section connects to an accessory section in the rim lock camera accessory mount and may include a step between the attachment section and the accessory section. The accessory section provides an accessory which allows one or more camera filters to be installed on the camera lens and also attaches one or more accessories to the camera lens by the rim lock camera mount accessory mount.

The invention provides a camera lens calibration method and device, computer equipment and a medium. The method comprises the following steps: acquiring calibration plate image data acquired by a distortion camera; determining a first calibration internal reference of the distortion camera by adopting a Zhang's method based on the calibration plate image data, and determining a second calibration internal reference of the distortion camera by adopting an analytical method based on the calibration plate image data; weight matching is carried out on the first calibration internal reference and the second calibration internal reference, and a mixed calibration internal reference of the distortion camera is determined based on the first calibration internal reference, the calibration weight corresponding to the first calibration internal reference, the second calibration internal reference and the calibration weight corresponding to the second calibration internal reference; acquiring initial calibration external parameters of the distortion camera; and performing staged nonlinear optimization on the mixed calibration internal reference of the distortion camera and the initial calibration external reference of the distortion camera to obtain a target calibration internal reference and a target calibration external reference of the distortion camera so as to perform lens calibration on the distortion camera. Therefore, the accuracy of the calibration result is effectively improved.

The invention discloses a three-dimensional scene reconstruction method based on camera luminosity optimization. According to the method, firstly, multiple images of the same scene are represented through a radiation field model, then a depth regularization method is introduced, points obviously deviating from the surface of an object are inhibited, the overfitting problem is relieved, and a projection image at a corresponding view angle is obtained. Secondly, an external luminosity model is established by considering the distortion of a camera lens caused by the influence of dust, stains, other interferents or atomization, and an internal luminosity model is established by considering the internal distortion problem influenced by halation and non-uniformity of a sensor; by optimizing the radiation field characterization parameters and the camera luminosity model parameters, the camera luminosity parameters can be estimated in the three-dimensional reconstruction process, so that compared with the prior art, the method can separate and obtain a high-quality three-dimensional scene with higher camera luminosity distortion and robustness under the condition of camera luminosity distortion, especially under the condition of imaging degradation, the three-dimensional scene with higher camera luminosity distortion and robustness can be obtained. And high-quality 3D scene representation can also be realized.

The invention relates to the technical field of semiconductors, in particular to a die bonder and a correction method thereof, a computer readable storage medium and packaging equipment. The device is applied to a die bonder, and the die bonder comprises a swing arm capable of rotating, a suction nozzle fixedly connected with the swing arm, a die bonding lens and a die taking lens which are located above the swing arm, and a downward-looking flying shooting lens located below the swing arm. When the swing arm rotates, the suction nozzle passes through the visual fields of the three camera lenses, and a calibration jig is arranged on the swing arm; the correction method of the die bonder comprises the following steps: driving a swing arm to swing, and respectively acquiring camera pixel ratios and camera coordinate calibration of three camera lenses based on a calibration jig; the center coordinate of the center point of the suction nozzle is obtained through the down-looking flying shooting lens, the crystal taking coordinate of the suction nozzle is obtained through the crystal taking lens, and the crystal fixing coordinate of the suction nozzle is obtained through the crystal fixing lens; and based on the center coordinate, the die bond coordinate, the die pick-up coordinate, the die bond pixel ratio and the camera pixel ratio, acquiring a die pick-up position offset and a die bond position offset. The position of the suction nozzle can be accurately obtained.

The invention discloses anti-impact self-adaptive underwater camera equipment, which comprises an anti-shake shell, a camera arranged in the anti-shake shell, an anti-shake module connected with the camera, and at least four groups of composite anti-shake mechanisms symmetrically arranged on two sides of the anti-shake module. Each composite anti-shake mechanism comprises a movable abutting shaft with one end abutting against the anti-shake module. The push rod is in transmission connection with the abutting shaft; the memory alloy spring is connected with the push rod and used for driving the push rod to generate displacement; a piezoelectric ceramic; and the hydraulic clutch mechanism is linked with the piezoelectric ceramics. The hydraulic clutch mechanism is driven by the piezoelectric ceramics, and transmission between driving force provided by the memory alloy spring and the abutting shaft is rapidly connected or disconnected. The design overcomes the inherent defect of low response frequency of a memory alloy spring, realizes quick and large-stroke anti-shake compensation of a camera lens, and avoids the interference of magnetic field driving on internal electronic devices of the camera at the same time.

The invention discloses a pick-up lens, which comprises a lens barrel, a lens group and at least one spacing element, the lens group and the spacing element are assembled in the lens barrel, the number of lenses with focal power in the lens group is four, and the lens group comprises a first lens, a second lens, a third lens and a fourth lens which are sequentially arranged from an object side to an image side along an optical axis; the first lens has negative focal power, and the image side surface is a concave surface; the second lens, the third lens and the fourth lens all have positive focal power, and the image side surface of the third lens and the object side surface of the fourth lens are convex surfaces; the at least one spacing element comprises a third spacing element which is arranged between the third lens and the fourth lens and is in direct contact with the image side surface of the third lens. Half semi-fov of the maximum field angle of the camera lens, the maximum height L of the lens barrel in the optical axis direction and the outer diameter D0s of the object side end face of the lens barrel satisfy 1.25 lt. Wherein, tan (semi-fov) * L / D0slt; 1.70, 1.70; the center thicknesses CT3 and CT4 of the third lens and the fourth lens on the optical axis satisfy 0.75 lt; cT3 / CT4lt; 1.10, 1.10; the effective focal length f3 of the third lens and the outer diameter D3s and the inner diameter d3s of the object side surface of the third spacing element satisfy 1.60 lt; f3 / D3slt; 2.90 and 0.45 lt, 2.90 and 0.45 lt; d3s / D3slt; and 0.85%.

The invention provides a three-dimensional calibration method using a speckle image as a calibration object and combining weight parameters. The method comprises the following steps: acquiring a standard grid image and the speckle image through a camera; determining angular point positions in the standard grid image through an angular point detection algorithm; calibrating the stereoscopic vision system by using the obtained angular points to obtain an initial calibration result; calculating 3D coordinates of the camera calibration board in the world by using the disparity map; determining a subset of the reference image corresponding to the checkerboard angular points in the target image through a digital image cross-correlation algorithm; calculating a weight parameter of each calibration point based on the re-projection error; solving internal and external parameters of the camera by using the weight parameters, radial alignment constraint and a least square method; optimizing the main point of the camera by using the weight parameters; and if the re-projection error or the number of iterations does not meet the requirement, repeatedly calculating the weight parameter of the calibration point and the subsequent steps, otherwise, obtaining a camera calibration result, and obtaining the distortion curved surface of the camera lens.

The invention provides a camera lens and a detection camera, the camera lens comprises a cover plate assembly, a shell assembly and a lens assembly fixedly arranged in the shell assembly, the cover plate assembly comprises a front cover plate and a rear cover plate which are buckled with each other, and the front cover plate and the rear cover plate are buckled to form a spherical cavity; the shell assembly is at least partially arranged in the spherical cavity and is in limiting fit with the inner wall of the spherical cavity, the fastening degree between the front cover plate and the rear cover plate is adjustable so as to clamp or loosen the shell assembly, the lens assembly is provided with a lens end, the lens end protrudes out of the shell assembly and the front cover plate, and under the condition that the shell assembly is loosened by the front cover plate and the rear cover plate, the lens end can be clamped or loosened. The housing assembly is rotatable to adjust the orientation of the lens end. According to the technical scheme provided by the invention, the adjustable fastening degree between the cover plate assembly and the shell assembly and the limiting matching between the shell assembly and the lens assembly are utilized, so that the lens assembly can freely rotate in the spherical cavity, and the orientation of the lens end is quickly adjusted.

The invention discloses an air taper sleeve target detection and positioning method, and belongs to the technical field of target tracking and positioning. The invention provides an air taper sleeve target tracking and positioning method. Firstly, near-infrared LED lamp beads are installed on a taper sleeve, and an infrared optical filter is installed on a camera lens, so that infrared target image acquisition is completed. Then, an improved YOLOv11 detection algorithm is provided, the small target detection capability of YOLO is improved, and infrared target tracking is realized by adopting a Byterack strategy. And finally, using an improved pose estimation method to improve the positioning precision of the taper sleeve position.

The embodiment of the invention discloses a camera lens defect detection method and device, a storage medium and a product. The method comprises the following steps: acquiring an initial detection image and initial detection data of a to-be-detected lens; preprocessing the initial detection image and the initial detection data to obtain a basic detection image of the to-be-detected lens and basic detection data of the to-be-detected lens; inputting the basic detection image and the basic detection data into a multi-modal encoder of a defect detection model for encoding to obtain a multi-modal fusion feature corresponding to the to-be-detected lens; inputting the multi-modal fusion features into a multi-task decoder of a defect detection model for decoding processing to obtain a multi-task detection result corresponding to the to-be-detected lens; according to the invention, automation of camera lens defect detection can be realized, and improvement of camera lens defect detection efficiency and accuracy is facilitated.

A photography auxiliary device configured for detachably mounting a photographic auxiliary component in front of a camera lens of a photography device, includes a carrying body for detachably carrying the photographic auxiliary component thereon; and a mounting member configured to mount the carrying body to the photography device to thereby mount the photographic auxiliary component in front of the camera lens of the photography device. The carrying body includes a first light-transmitting portion for allowing light to pass therethrough. The mounting member defines a sliding slot to allow a fastener to pass through. The mounting bracket is mounted to the photography device via a connecting bracket. The position of the carrying body relative to the mounting bracket is adjustable and the position of the mounting bracket relative to the connecting bracket is adjustable such that the position of the photographic auxiliary component relative to the camera lens is adjustable conveniently.