2866 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 an optical camera lens which comprises two lens groups. The two lens groups include six lenses. The two lens groups are sequentially a first lens group and a second lens group from the object side to the image side. The six lenses are sequentially the first lens to the sixth lens from the object side to the image side. The focal length of the optical pick-up lens is adjusted by adjusting the focal length through the change of the distance between the lens groups. The optical pick-up lens has a long focus end and a short focus end in a focal length adjustment process. The second lens group moves relative to the first lens group during the focal length adjustment process. At least one inflection point on at least one lens surface in the optical pick-up lens falls in the optical effective area in the focal length adjusting process. The second lens element has negative refractive power. When specific conditions are met, the optical camera lens can meet the requirements of small size, adjustable focal length, high imaging quality and easy assembly at the same time. The invention further discloses an image capturing device with the optical camera lens and an electronic device with the image capturing device.

The invention relates to a temperature field and deformation field synchronous measurement system and method based on laser speckle DIC and temperature field algorithm temperature measurement. The system comprises a 3CCD color camera, a lens, a three-band filter, a monochromatic light source, a mechanical support adjusting platform, a triangular support and a computer. A test piece is actively illuminated by blue laser, and a color image containing three channel sub-images of red, green and blue on the surface of a high-temperature sample before and after deformation is acquired by a 3CCD color camera. A temperature field algorithm is used for analyzing sub-images of the R channel and the G channel after deformation to calculate a temperature field of the surface of the test piece, and a digital image correlation method is used for analyzing sub-images of the B channel before and after deformation to obtain a strain field of the surface of the test piece, so that synchronous measurement of the temperature field and the deformation field of the surface of the test piece is realized. The principle is simple, the system structure is compact, temperature field measurement is not interfered by speckles, and non-contact, high-precision and synchronous measurement of a material deformation field and a temperature field under the action of force and thermal loads can be achieved.

The invention discloses a visual inspection information acquisition device and method based on a horizontal included angle calibration image, and belongs to the technical field of machine visual inspection, the device comprises an industrial camera with a zoom lens, a holder device, a fixing device, a laser ranging sensor assembly, a signal acquisition synchronizer and an image automatic calibration module; wherein the industrial camera is used for capturing a surface area image of a measured structure; the laser ranging sensor assembly is used for determining a horizontal included angle formed between the camera lens axis and the surface normal of the measured structure; the signal acquisition synchronizer is used for ensuring data acquisition consistency between the camera and the laser distance measuring sensor assembly; and the image automatic calibration module is used for correcting distortion of the image captured by the camera due to the horizontal included angle to obtain a corrected image. By adopting the technical scheme of the invention, the accuracy of the image data can be ensured, so that the health detection and monitoring efficiency and precision of the engineering structure are 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 visual inspection, and discloses a workpiece surface defect detection device based on visual sensing, which comprises a detection assembly, a cleaning assembly mounted on the detection assembly, a purging assembly mounted on the cleaning assembly, and a deburring assembly arranged on the cleaning assembly, the cleaning assembly comprises a sliding plate, a brush is fixedly connected to the upper surface of the sliding plate, a moving part is fixedly connected to the lower bottom face of the sliding plate, a fixing plate is arranged on one side of the sliding plate, and a spring is elastically connected between the sliding plate and the fixing plate. The blowing assembly comprises an air bag, the output end of the air bag is in threaded connection with two sets of air pipes, one set of air pipes communicate with the blowing frame, the sliding plate and the moving part are driven to move through the conveying belt, the moving part can conduct reset operation under operation of the spring, and therefore the detection camera lens is cleaned.

Pop-out lens systems for compact digital cameras, comprising an image sensor and a lens with a field of view FOV>60 deg and having i lens elements L1-Li starting with L1 from an object side toward an image side, each lens element Li having a respective focal length fi,, the lens elements divided into two lens groups G1 and G2 separated by a big gap (BG), the lens having a pop-out total track length TTL<20 mm in a pop-out state and a collapsed total track length c-TTL in a collapsed state, wherein BG>0.25×TTL, wherein either G1 can move relative to G2 and to the image sensor for focusing or G1 and G2 can move together relative to the image sensor for focusing, and wherein a ratio c-TTL / TTL<0.7.

Provided is a device and a corresponding method for optical recognition and analysis, in particular of bodies, body parts and / or joints of a person, surfaces and objects in a 3-dimensional movement area in real time, with one or more cameras with fisheye lens, which are arranged at a distance and position from the movement area specifically selected for the application, for determining 2D positions of the bodies, body parts and / or joints, surfaces and objects by means of camera images, at least one data processing unit being provided, with devices for calculating neural networks and artificial intelligence in real time, for applying several AIs on captured camera images, and with at least one interface for one or more audio / video feedback units for outputting data or audio / video feedback on the analysis results by means of the audio / video feedback unit.

A .camera lens protector assembly of mobile phone includes multiple eye members and a protector cover which is manufactured by a method including a sandblasting step, a hole forming step, an oxidizing step and a cutting step form a starting material of an integral cover sheet. The protector cover has multiple through holes for mounting one or more eye members, so as to protect the camera lenses of the mobile phone, and the protector cover comprises an outer surface which has a surface profile formed from a processing surface of the integral cover sheet.

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 grape polyketide synthase and application of the grape polyketide synthase in realizing plant luminescence, the grape polyketide synthase can be used for synthesizing milk tree alkali, and then fluorescein is synthesized through other proteins so that plants can emit light. The luminous intensity of the obtained plant is remarkably improved, and a visible photograph of the luminous plant can be obtained through a mobile phone or a camera lens without long-time exposure; the luminous phenotype of the plant can be easily observed by naked eyes.

The embodiment of the invention discloses an 8K ultra-high-definition optical endoscope and an imaging system, relates to the technical field of medical instruments, and aims to provide an optical endoscope with higher resolution. The optical endoscope comprises a tube body, an objective lens group and a relay lens group, the objective lens group and the relay lens group are arranged in the tube body, the relay lens group is arranged at the image space of the objective lens group, and a collimation magnifying lens group is arranged at the image space of the relay lens group; wherein the objective lens group is used for imaging an observed object; the relay lens group performs relay transmission on the image formed by the objective lens group; the collimation magnifying lens group amplifies the light spot of the image space of the relay lens group into a parallel collimation light spot, so that the light emergent angle of the relay lens group is consistent with the light incident angle of the pick-up lens, and the size of the parallel collimation light spot formed after amplification is consistent with the size of the entrance pupil of the pick-up lens; and the light emitting side of the relay lens group is the image side of the relay lens group. The embodiment of the invention is suitable for the scene of medical examination and operation through the endoscope.

This application provides a shooting method and a related device. The shooting method may be applied to an electronic device with a camera lens. In the shooting method, the electronic device may output a RAW image through the camera lens, and divide the image into three paths of data streams through an image processor. The three paths of data streams are respectively data streams of a panorama path, a focus tracking path, and a detection path respectively. After stabilization processing, the data stream of the panorama path is used to display and preview a large window of a camera application interface. After human body detection and successful focus tracking, information about a human body cropping frame may be output, through the data stream of the detection path, to the focus tracking path for cropping a human body frame. After stabilization processing, smoothing processing, and cropping processing, the data stream of the focus tracking path may be used to display and preview a small window of the camera application interface. It may be understood that related processing on the three data streams is performed in a camera software architecture, and does not depend on a platform. This greatly facilitates transplantation, development, and the reuse at another platform at a later stage.

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 video image processing, and particularly relates to a mote recognition and early warning method and a piston type camera cleaning device.The mote recognition and early warning method comprises the following steps that firstly, images are preprocessed, and preprocessing comprises graying processing, contrast enhancement processing and Gaussian blur processing; step 2, feature extraction including edge detection, brightness detection and fuzzy measurement; according to the dust identification early warning method and the piston type camera cleaning device, a dust coverage index DCI is generated through feature extraction and regional analysis, and whether the camera cleaning device needs to be started or not is judged according to the index. And detecting the dust coverage degree on the surface of the camera lens, and automatically generating a dust coverage degree index DCI. And judging whether a cleaning threshold value is reached according to the DCI so as to trigger an automatic cleaning function. An efficient and accurate dust identification algorithm is provided, and the method is suitable for a long-time operation environment of an industrial or outdoor camera.

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.

The utility model discloses an electronic product appearance defect detection system, and belongs to the technical field of electronic product appearance defect detection. The electronic product appearance defect detection system comprises a machine base, a small-view-field camera, a large-view-field camera, a dome light source and a light source set. The small-view-field camera is installed on the machine base, the large-view-field camera and the small-view-field camera are arranged in a spaced mode in the first direction, the dome light source is installed below a lens of the small-view-field camera, the light source set is installed below a lens of the large-view-field camera, and the light source set comprises at least one of a coaxial light source, an ultraviolet light source and a multi-partition light source. According to the electronic product appearance defect detection system, the small-field-of-view camera and the large-field-of-view camera are combined for use, and a multifunctional combined time sequence photographing mode can be realized, so that the defect detection types can be increased, and the detection capability of the electronic product appearance defect detection system is improved.

The utility model relates to an ultra wide angle pick-up lens suitable for a vehicle-mounted OMS system, an optical system of the lens is composed of a first lens, a second lens, a third lens, a fourth lens, a diaphragm, a fifth lens, a sixth lens and a seventh lens, the first lens is a meniscus concave negative lens, the second lens is a meniscus concave negative lens, the third lens is a meniscus convex positive lens, the fourth lens is a meniscus convex positive lens, and the seventh lens is a meniscus convex positive lens. The fourth lens is a meniscus concave negative lens, the fifth lens is a biconvex positive lens, the sixth lens is a biconcave negative lens, the seventh lens is a biconvex positive lens, the sixth lens and the seventh lens form a cemented lens group, the first lens and the fifth lens are made of glass materials, and the second lens, the third lens, the fourth lens, the sixth lens and the seventh lens are plastic aspheric lenses. By reasonably distributing the focal power and the surface type of each lens, the central thickness of each lens, the axial distance between the lenses and the like, the field angle of the lens is enlarged while the imaging performance requirement of the lens is met, so that the low-cost ultra-wide-angle camera lens suitable for a vehicle-mounted OMS system is realized.

The utility model relates to the field of unmanned aerial vehicles, in particular to an intelligent unmanned aerial vehicle which structurally comprises an aerial vehicle body, a foot stool and a camera which are arranged at the bottom of the aerial vehicle body, and a shell arranged in front of a camera lens. When the protective lens right in front of the camera lens is affected by fog or dust impurities and the like, the controller can be remotely started to drive the protective lens to move leftwards or rightwards in the shell, and in the moving process, the cleaning assembly can remove the fog and the impurities on the surface of the protective lens; meanwhile, the unpolluted part of the protective lens is moved to the position of the observation opening, so that the camera lens can be cleaned in time, normal operation of the unmanned aerial vehicle in the shooting process is guaranteed, meanwhile, no blocking is caused to pictures in the cleaning process, and efficient operation of an aircraft vision system and stability of shooting quality are guaranteed.

The utility model relates to a large-field-angle medium-wave infrared pick-up lens, belongs to the technical field of optical imaging, and solves the problem that the compatibility of a large field angle and high picture quality cannot be satisfied in the prior art. The medium-wave infrared pick-up lens sequentially comprises a first lens with negative focal power, a second lens with negative focal power, a third lens with positive focal power, a fourth lens with negative focal power, a fifth lens with positive focal power and a sixth lens with negative focal power from outside to inside along an optical axis, the seventh lens has positive focal power; and the eighth lens has positive focal power. At least five mirror surfaces in the eight lenses are aspheric surfaces; the effective focal length of the pick-up lens, the effective focal length of the second lens, the effective focal length of the fifth lens and the effective focal length of the eighth lens meet the following formula: # imgabs0 #. The large-field-angle medium-wave infrared pick-up lens provided by the utility model has a large field angle and also has a high-definition display picture.

The invention relates to the technical field of robots, and discloses a robot leg walking mechanism and a quadruped robot, the robot leg walking mechanism comprises a plurality of big arms, one side of each big arm is connected with a floating assembly, the floating assembly comprises a connecting box and an air bag, the connecting box is fixedly connected with one side of the big arm, and a placing groove is formed in the side, away from the big arm, of the connecting box; an air bag is fixedly connected into the containing groove, one side of the big arm is sequentially connected with an inflation assembly, a deflation assembly and an air injection assembly from top to bottom, and one side of the connecting box is connected with a closing assembly. According to the robot leg walking mechanism and the quadruped robot, by means of the floating assembly, the quadruped robot can keep floating in a deep water area, so that a robot body is prevented from being completely immersed in water, the risk that a camera lens is stained with water is reduced, and the quality and accuracy of real-time image transmission are ensured; therefore, a clear visual field and stable walking capability are provided for the quadruped robot, visual misjudgment or distortion can be reduced, and the accuracy and efficiency of inspection tasks are improved.

The invention discloses a wind turbine generator tower drum state monitoring method based on target image recognition, which comprises the following steps of: installing a target device on the lower surface of a top platform of each layer of tower drum, arranging a high-definition camera on a bottom platform of the tower drum below each target, and enabling a lens of the high-definition camera to face the target device upwards; each layer of high-definition camera acquires image data of the target above in real time and transmits the image data to the central processing unit through the data acquisition module; the central processing unit carries out image recognition processing on the image data of each layer and recognizes the state of the tower drum; and carrying out safety early warning according to the tower drum state. The invention further discloses a target device, the target device comprises a lampshade and a group of lamp wicks in the lampshade, and a hollowed-out light-transmitting area is arranged on a lampshade panel. According to the method, the displacement, the deflection angle, the displacement speed and the deflection angular speed of the target position of each layer of tower drum platform can be clearly analyzed, the state of the tower drum is accurately monitored, and safety early warning is achieved.

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.