848 results about "Digital camera" patented technology

The invention discloses a tunnel disease recognition model training method and system based on a point cloud and an image, and the method comprises the steps: synchronously collecting tunnel point cloud and image data, carrying out the calibration and registration, achieving the spatial alignment, preprocessing the point cloud, generating a gray-scale image and a depth image, collecting continuous images through a line-scan digital camera, generating a spliced image, and carrying out the recognition of tunnel diseases. Partitioning a large-size image after multi-image space-time synchronization; a multi-branch network is constructed, point cloud geometry and image texture features are extracted by using Point Net / 3DCNN and CNN / Transform respectively, and semantic collaborative fusion is realized through an intermediate layer fusion module; parameters are adjusted according to errors through self-adaptive training, manual labeling dependence is reduced in combination with transfer learning and the like, and convergence is accelerated through online iteration, joint loss and self-adaptive weight to improve generalization; the performance of the model is evaluated through field testing and indexes in various tunnel environments, and the structure is optimized according to data to ensure that engineering is feasible and efficient. The model can accurately identify various diseases on different tasks, and can adapt to complex and changeable working conditions in tunnel detection.

1. The name of the design product: the main body of the connecting handle of digital camera. 2. The use of the design product: the connecting handle of digital camera, which is used when installing various accessories; the use of the partial design is as the main body of the connecting handle of digital camera. 3. The design points of the design product: the shape. 4. The picture or photo showing the design points: the perspective view.

The invention discloses a photovoltaic module surface defect online detection method based on multi-modal image fusion, and relates to the technical field of photovoltaic module detection.The method comprises the steps that a visible light line-scan digital camera, a short-wave infrared camera, an EL line-scan digital camera and a laser speckle imaging module are installed to collect real-time data, an optical image is subjected to dynamic window median filtering, and the surface defect of the photovoltaic module is obtained; the method comprises the following steps: carrying out time moving average combined dynamic threshold segmentation on an infrared image and an EL image, carrying out image-guided outlier filtering on 3D point cloud data, judging a pixel defect type based on gray-temperature correlation and calculating a fusion weight, respectively inputting the optical image, the infrared image, the EL image and 3D point cloud into GhostNet, lightweight ViT, CNN and PointNet-Lite to extract features, and carrying out image fusion on the 3D point cloud data. And after global average pooling and splicing, inputting into a channel attention module to generate a modal weight, and after weighted fusion, obtaining a defect type through a full connection layer. According to the invention, the accuracy of defect detection is effectively improved.

A real-time badminton action detection system, consisting of: a video recording module configured to continuously record video images at a frame rate of at least thirty frames per second; a pose estimation processing unit configured to detect and output two-dimensional skeletal landmark coordinates for a variety of body joints, including at least wrists, elbows, shoulders, hips, knees and ankles, from each video frame; a Motion Bidirectional Encoder Representation Transformer (Motion-BERT) configured to receive sequential skeleton landmark coordinates over a defined time window and encode motion trajectories using multi-head self-attention mechanisms across past and future frames; and a classification controller module operationally coupled to the Motion-BERT, wherein the classification controller module comprises a dense neural network with a softmax output layer configured to generate real-time probability distributions over a variety of badminton-specific action classes, the end-to-end system being configured to produce recognition results with a processing latency of less than 100 milliseconds; and wherein the video recording module comprises a high-speed digital camera with a wide-angle lens positioned at a point on the perimeter of the court, the camera being calibrated with intrinsic and extrinsic parameters for perspective correction, and wherein the system includes a calibration routine that aligns detected skeletal landmarks with a reference badminton court coordinate system.

A method can include using a digital camera of a digital microscopy system, acquiring a digital image of an engineered three-dimensional object positioned on a base and illuminated by a light source; using the digital camera, acquiring a digital image of a color checker card positioned on the base and illuminated by the light source; determining a light source criterion by assessing position of the light source based at least in part on a shadow in the digital image of the engineered three-dimensional object as castby the engineered three-dimensional object and based at least in part on saturation of color in the digital image of the color checker card; and calibrating the digital microscopy system using the light source criterion to generate a calibrated digital microscopy system.

Lens systems for compact digital cameras having a pop-out state and a collapsed state, the lens systems comprising: an image sensor having a sensor diagonal SD, and a lens with N≥6 lens elements L1-LN arranged along a lens optical axis (OA) starting with L1 from an object side toward an image side, each lens element Li having a respective clear aperture diameter DALi 1≤i≤N, and having in the pop-out state a field of view 35 deg<FOV<50 deg, a f number (f / #), a lens thickness TLens, a back focal length BFL, an effective focal length EFL, and a total track length TTL<20 mm, the lens having in the collapsed state a collapsed total track length c-TTL, wherein c-TTL=TLens+1 mm, wherein EFL≥10 mm, wherein f / #<2, and wherein a ratio c-TTL / EFL<0.8.

In certain embodiments, an ophthalmic laser system includes a laser system, imaging system, and computer. The laser system accesses a planned test pattern of planned laser spots and directs a laser beam towards a test target located at a target plane according to the planned test pattern to yield an actual test pattern of actual laser spots on the test target. The actual laser spots correspond to the planned laser spots. The imaging system has a digital camera that generates a digital image of the actual test pattern. The computer analyzes the digital image to: compare the actual test pattern to the planned test pattern; detect a deviation of the actual from the planned test pattern; identify an issue indicated by the deviation; and provide output in response to the identified issue.

The invention discloses a method for dynamically monitoring the drying quality of fruits and vegetables by fusing chromatic aberration-shrinkage rate analysis. The method comprises the following steps: placing a fruit and vegetable sample on a rotatable objective table, drying according to a preset program, and carrying out multi-angle shooting by using a digital camera according to a timestamp to obtain an RGB color image; the method comprises the following steps: preprocessing by an image analysis system, converting an image into a Lab chromaticity space, calculating a chromatic aberration value delta E and a comprehensive shrinkage rate S, integrating data to generate a change curve, and constructing an appearance form model. In actual drying, real-time data and the model are compared, and early warning is carried out when the color difference value exceeds 3.5 or the shrinkage rate deviation exceeds 15% and image acquisition is abnormal. The drying equipment is provided with a high-precision electric rotary objective table, a specific annular light source array, a high-resolution camera and a standard calibration color card, and illumination and color measurement accuracy is ensured through calibration. Through multi-step operation, accurate and dynamic monitoring of fruit and vegetable drying quality is achieved, and drying process optimization is assisted.

The invention discloses a paper archive digital quality self-inspection system based on AI detection, which relates to the technical field of archive management and comprises an image acquisition module, a content extraction module, a threshold adjustment module, a quality detection module, a result evaluation module, a feedback correction module and a data management module. The image acquisition module is responsible for acquiring images of paper archives by using a scanner or a digital camera and performing preliminary image preprocessing. According to the AI detection paper archive digital quality self-inspection system, unified execution of quality inspection standards is ensured through a rule engine, subjective differences of quality standard understanding of different quality inspection personnel are eliminated, and a detection threshold value is dynamically adjusted according to the age, the material and the storage state of the archive so as to adapt to quality inspection requirements of different archives; and particularly, the difficulty in identifying handwritings, faded handwritings, special symbols and the like in historical archives is optimized, so that the comprehensiveness and the efficiency of detection are greatly improved.

The invention relates to a common-aperture double-linear-array surveying and mapping camera optical system based on secondary mirror multiplexing, and belongs to the technical field of space remote sensing measurement. The optical system comprises two double-line-scan digital cameras which share the same aperture diaphragm and the same main reflector. According to the optical system, an integrated structure that the double-line-scan digital camera shares the primary mirror and a structure that the secondary mirror and the fourth mirror are coplanar and most of effective areas are overlapped are adopted at the same time, the double-line-scan digital camera is subjected to integrated structure design, the measurement precision regulation and control difficulty is reduced, and the surveying and mapping precision is improved; and a free-form surface is also introduced to realize coplanarity of the secondary mirror and the fourth mirror, so that two reflection areas of the coplanar reflector are overlapped, and the volume and the mass of the coplanar reflector are reduced. On the basis that three reflectors of the optical system are reduced, the focal plane is placed between the main reflector and the third reflector, light is overlapped on the premise that the image quality is not reduced, the size of the optical system is compressed, the space utilization rate of the system is improved, and the emission cost is reduced.

The utility model discloses a camera which comprises a shell, a control panel and a lens are arranged in the shell, a contact switch is arranged on the control panel, and a dial wheel mechanism is further arranged in the shell. The dial wheel mechanism comprises a dial wheel support, a dial wheel, a shutter key and a linkage piece are arranged on the dial wheel support, one side of the dial wheel extends out of the rear end face of the shell, one end of the shutter key extends out of the upper end face of the shell, and one end of the linkage piece can be connected with the shutter key; a limiting table is arranged on the end face of the gear, a limiting notch is formed in the limiting table, a limiting shifting block is arranged on the linkage piece, the limiting shifting block can be in sliding fit with the limiting table, and the limiting shifting block can be clamped with the limiting notch in a limiting mode; an elastic limiting piece is arranged on the shifting wheel support, limiting teeth are arranged on the outer side wall of the shifting wheel, and the elastic limiting piece is connected with the limiting teeth in a sliding and clamping mode. According to the utility model, the imaging technology of a digital camera can be adopted for photographing, the operation hand feeling of a film camera is kept, the nostalgic feelings of users are met, and the use favor of the users is improved.

The invention discloses a high-precision line-scan digital camera splicing correction method, particularly relates to the field of visual inspection, and comprises the steps of monitoring area division, data acquisition, data analysis and comprehensive analysis. According to the method, the proportional relation between the line frequency and the movement speed is corrected in real time through the dynamic parameter calibration system, image stretching and compression distortion is eliminated, accurate reduction of the physical size is guaranteed, the adaptive overlapping region expansion and feature matching optimization technology is adopted, pixel offset and gray jump caused by mechanical vibration are effectively restrained, the seamless splicing effect is achieved, and the image quality is improved. A laser calibration device and a high-precision guide rail are integrated to reduce the installation inclination error, a bilinear interpolation algorithm optimization and calibration maintenance mechanism is combined, the image detail reduction capability and the long-term stability of the system are comprehensively improved, and the imaging quality consistency of an industrial detection scene is remarkably improved.

The invention particularly relates to an automobile instrument assembly line tracking system based on a database, and relates to the technical field of industrial automation and intelligent manufacturing. An RFID tag detection module; a database management and storage module; and a production process real-time tracking module. According to the invention, the number of bytes of the RFID reader-writer is compared twice to eliminate temporary false alarms caused by electromagnetic interference, a true fault is judged only when the number of bytes read twice is consistent and abnormal, and the initial anomaly recognition accuracy is improved; the line-scan digital camera is combined to visually analyze and quantify contour missing so as to identify physical damage; infrared thermal imaging temperature field correlation analysis captures heat conduction abnormities such as antenna breakage; whether the RFID tag fails or not is comprehensively judged according to the missing quantized value and the temperature-related deviation value, and tracing interruption or potential quality hazards caused by tag failure in the automobile instrument assembling process are remarkably reduced.

A content origin verifying system that also allows a third party to accurately ascertain the authenticity of a digital signature is provided. The content origin verifying system includes a digital camera and a content receiving server. The digital camera includes a first digital signature generating unit that generates a first digital signature based on a first private key. The content receiving server includes a digital signature verifying unit that verifies the authenticity of the first digital signature, and a second digital signature generating unit that, in the case of being verified that the first digital signature is true, generates a second digital signature based on a second private key. The second private key is paired with a public key for which a public key certificate is issued by a certification authority and which is capable of being used to verify the authenticity of the second digital signature.

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.

The invention provides a human face texture image generation method, a 3D digital human generation method and a 3D digital human video generation method, and relates to the technical field of digital humans, the human face texture image generation method can obtain a high-quality human face texture image to meet user requirements by taking a human face image mapping image as a constraint condition of a target diffusion model, and the user experience is improved. The method can be applied to the field of 3D digital human generation. According to the method, the problems of high implementation cost and high professional equipment operation threshold for generating a high-quality human face texture image in the prior art can be avoided, and the human face texture image is obtained only by adopting a human face image acquired by common shooting equipment such as a mobile phone or a digital camera; therefore, the high-quality face texture image can be obtained through conversion of the target diffusion model, the implementation cost is low, and the equipment operation threshold is low.

The invention provides a calibration method suitable for a single-camera high-precision scanning system. The calibration method comprises the following steps: S1, carrying out area array mode calibration on a linear array camera; by adjusting the exposure time of the line-scan digital camera, moving the base station to image at different positions of the checkerboard, and solving internal parameters and distortion parameters of the line-scan digital camera; s2, line scanning mode calibration; performing line scanning imaging on the checkerboard to obtain pixel coordinates of angular points of the checkerboard; and separating the actual rotation angle of the checkerboard from the projection error, and further deducing the rotation angle of the real camera, thereby completing calibration. According to the calibration requirement of the linear array camera in a scanning imaging scene, a two-stage algorithm combining area array mode modeling and linear scanning imaging correction is provided, and the problem that a traditional calibration method is not applicable under the condition that a single camera is fixed and moves in a single direction is effectively solved.

System and method for improving the shaving experience by providing improved visibility of the skin shaving area. A digital camera is integrated with the electric shaver for close image capturing of shaving area, and displaying it on a display unit. The display unit can be integral part of the electric shaver casing, or housed in a separated device which receives the image via a communication channel. The communication channel can be wireless (using radio, audio or light) or wired, such as dedicated cabling or using powerline communication. A light source is used to better illuminate the shaving area. Video compression and digital image processing techniques are used for providing for improved shaving results. The wired communication medium can simultaneously be used also for carrying power from the electric shaver assembly to the display unit, or from the display unit to the electric shaver.

The invention discloses a railway driver driving behavior monitoring method based on artificial intelligence. An artificial intelligence processing unit completes hardware interface initialization; the integrated wireless equipment of the railway locomotive sends a network IP address and equipment identification information of the main control end to a host process of the artificial intelligence processing unit; a host process of the artificial intelligence processing unit initiates a video stream pulling request to a digital camera at a corresponding end through an RTSP protocol; the main process of the artificial intelligence processing unit receives the RTSP code stream and then decodes the RTSP code stream into a picture in a JPEG format, the image is cut and zoomed, and complete metadata information is added for each picture; three reasoning processes of the artificial intelligence processing unit run in parallel, and each process performs targeted reasoning detection on the decoded JPEG picture and metadata based on a self-loaded model: a main process receives a reasoning detection result, performs comprehensive judgment in combination with a preset threshold value and an abnormal state duration, and sends the result to the main process; triple alarms of local reminding, driver informing and remote monitoring are realized, and the driving behavior of the driver is standardized.

The invention provides a line-scan digital camera image-based high-precision calibration method, a measurement method and a system, and relates to the field of automatic optical measurement of plates, and the calibration method comprises the following steps: constructing a hardware mechanism for line-scan digital camera image calibration; acquiring a linear array camera image based on a hardware mechanism; performing distortion calibration on each line-scan digital camera based on the line-scan digital camera images so as to obtain reference point X coordinates, X-axis average precision, distortion correction coefficient arrays, working distances, grid numbers, Y longitudinal view offset pixels and Y longitudinal average precision corresponding to different intervals, wherein the reference point X coordinates, the X-axis average precision, the distortion correction coefficient arrays, the working distances, the grid numbers, the Y longitudinal view offset pixels and the Y longitudinal average precision correspond to different intervals; and performing multi-machine joint calibration on the plurality of line-scan digital cameras based on the line-scan digital camera images so as to obtain the proportion of the blind area width corresponding to different intervals to the height difference of the calibration plane. Calibration data are obtained on the basis of high-precision calibration, automatic optical detection is carried out on the thickness of the plate in combination with the calibration data, and the problems that existing plate size measurement is low in efficiency, poor in precision and poor in repeatability are solved.

A kind of railway driver driving behavior monitoring method based on artificial intelligence, artificial intelligence processing unit completes hardware interface initialization;Railway locomotive comprehensive wireless device sends the network IP address of main control end, device identification information to the main process of artificial intelligence processing unit;Artificial intelligence processing unit main process initiates video stream pull request to the digital camera of corresponding end by RTSP protocol;Artificial intelligence processing unit main process decodes into JPEG format picture after receiving RTSP code stream, trims zoom image, adds complete metadata information to each picture;Three inference processes of artificial intelligence processing unit run in parallel, each process is based on the model loaded by itself to decode the JPEG picture and metadata for targeted inference detection:Main process receives inference detection result, carries out comprehensive judgment in conjunction with preset threshold and abnormal state duration, realizes local reminder, driver notification, remote monitoring triple alarm, standardizes driver driving behavior.

A system for providing a contour map of the surface of a heliostat from reflected sunlight using a fly's eye camera. The system includes an entrance screen configured to receive sunlight reflected by said heliostat; an array of imaging apertures extending across the entrance screen, each aperture forming an image of said heliostat from a different viewpoint to provide a plurality of heliostat images; one or more digital cameras configured to view all of said plurality of heliostat images; an image processor configured to map out from the plurality of heliostat images a location of sunlight delivered to the entrance screen to obtain a plurality of maps, and to provide, based on centroids of said maps a tip and tilt of each said subsection The reflecting surface profile of the heliostat is obtained by integration of the subsection tilts across all the subsections.

An analyte testing system for quantifying the presence of an analyte in a speciment by lateral flow chromatography. The system comprises a test cassette (10) with a lateral flow chromatography and a mobile hand-held processor device (16) comprising a digital camera (16a), a source of light (16b) and a processor (16c), which software and hardware (16c) are configured to determine automatically the distance between camera and object and the measures of light in the region of interest of the lateral flow chromatography prior any retrieval of image data for further analysis and quantification of the visual signals.

A method can include using a digital camera of a digital microscopy system, acquiring a digital image of an engineered three-dimensional object positioned on a base and illuminated by a light source; using the digital camera, acquiring a digital image of a color checker card positioned on the base and illuminated by the light source; determining a light source criterion by assessing position of the light source based at least in part on a shadow in the digital image of the engineered three-dimensional object as cast by the engineered three-dimensional object and based at least in part on saturation of color in the digital image of the color checker card; and calibrating the digital microscopy system using the light source criterion to generate a calibrated digital microscopy system.

To provide a content origin certification system. a control method for the content origin certification system, and a program for enabling a third party to accurately verify the authenticity of a digital signature.SOLUTION: A content origin certification system 1000 comprises a digital camera 101 and a content reception server 102. The digital camera 101 comprises first digital signature generation means (digital signature generation part 213) for generating a first digital signature based on a first secret key. The content reception server 102 comprises verification means (digital signature verification part 402) for verifying the authenticity of the first digital signature, and second digital signature generation means (digital signature generation part 404) for generating a second digital signature based on a second secret key when the first digital signature is verified as being authentic. The second secret key is paired with a public key for which a public key certificate is issued and which can be used to verify the authenticity of the second digital signature.SELECTED DRAWING: Figure 1

A backpack system includes a main body having a plurality of sides that define an interior space. The main body is constructed from a watertight and transparent material, and includes a disposable face mask pocket along one side. A first shoulder strap includes a pocket for storing and dispensing moist sanitizing wipes, and a second shoulder strap includes a pocket for storing a bottle of sanitizing solution having a pump-style dispenser. At least one light and a camera system is disposed along the main body. The camera system includes a digital camera, a speaker and a microphone. A system controller includes a location tracking module and a wireless communication unit. A mobile application communicates with the communication unit to receive audiovisual information and performs two way voice and video communications.

The invention discloses an intelligent data synchronization method and system for a digital camera. In a preset period, multiple pieces of digital camera image data are acquired and preprocessed in real time. A CNN recognition model is used for object recognition, and object features are extracted based on an HOG algorithm and are associated with time nodes to form a feature matrix. And calculating the average difference degree between each characteristic matrix and the reference matrix through spectral decomposition, and taking the average difference degree as a synchronization deviation value. And calculating a synchronization deviation value in a plurality of preset periods, and analyzing the change trend of the synchronization deviation value so as to evaluate the image delay condition between the cameras. Finally, according to an analysis result, a synchronization check period and adjustment time are set, a multi-camera synchronization mechanism is established, the consistency of image data is ensured, the multi-camera synchronization condition is efficiently analyzed, and stable and synchronous image and video data can be output.

A camera system includes a housing and camera modules (e.g., digital cameras) that are aligned with fields of view that extend below the housing. The camera modules are provided about a perimeter of the housing and mounted to a bench within the housing. Two camera modules have axes of orientation extending below and away from a centroid of the camera system. Two camera modules have axes of orientation extending below and toward the centroid of the camera system. The housing includes inlets and outlets that enable air to flow past the camera modules and other components within the housing. Images captured by the camera modules of the camera system may be utilized for any purpose.

Mobile devices comprising a first camera having a first camera field-of-view (FOV1) and including a first image sensor configured to operate a first segment of the first image sensor in a full resolution-mode for capturing full resolution image data and to operate a second segment of the first image sensor in a binning resolution mode for capturing binning resolution image data and a processor for analyzing image data of the first camera to select a region of interest (ROI) in a scene and for configuring the first image sensor so that the selected ROI is captured in full resolution. In some examples, a mobile device further comprises a second camera having a second FOV (FOV2) and including a second image sensor configured to capture FOV2, wherein the analysis of image data to select a ROI is performed by analysing image data of the second camera.

A dual-aperture zoom digital camera operable in both still and video modes. The camera includes Wide and Tele imaging sections with respective lens / sensor combinations and image signal processors and a camera controller operatively coupled to the Wide and Tele imaging sections. The Wide and Tele imaging sections provide respective image data. The controller is configured to output, in a zoom-in operation between a lower zoom factor (ZF) value and a higher ZF value, a zoom video output image that includes only Wide image data or only Tele image data, depending on whether a no-switching criterion is fulfilled or not.