1134 results about "Digital camera" patented technology

A technique for generating a digital photograph comprises blending two related images, each sampled according to a different illumination environment. The two related images are blended according to a blend surface function that includes a height discontinuity separating two different blend weight regions. Color consistency between the two related images is achieved by spatial color correction prior to blending. The technique enables a digital camera to generate a strobe image having an appearance of consistent color despite discordant strobe and ambient scene illumination.

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.

Disclosed are embodiments of a system and method for baling recyclable materials and managing the baling of recyclable materials. The apparatus for baling includes a baler for compressing and baling recyclable materials, a scale, label printer, and a processor. Certain embodiments further comprise at least one digital camera, RFID dispenser, and an internet connection that allows the processor to transmit collected data to a remote database for further analysis.The disclosed method for baling recyclable materials comprising the steps of baling materials; weighing the bale automatically using a digital scale operably connected to the processor; recording the weight of the bale automatically; and printing a label which displays the recorded weight of the bale. Additionally, the method may comprise inputting information and / or automatically recording data, and / or automatically transmitting the data associated with a bale to a remote database.

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.

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 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.

The invention discloses a self-adaptive system for industrial line-scan digital camera imaging, and relates to the technical field of imaging calibration, and the system comprises a machine vision collection module which is used for obtaining an image obtained by collecting a detected object through an industrial line-scan digital camera in a continuous steel belt production detection process; the control algorithm module is used for analyzing the image to obtain an analysis result; the communication control module is used for generating a target instruction for controlling the three-dimensional electric adjusting structure to move according to the analysis result; and the electrical structure adjusting module is used for adjusting the moving state of the three-dimensional electric adjusting structure according to the target instruction, so that the industrial line-scan digital camera acquires the image of the measured object at the target position. According to the invention, the control algorithm module performs optimization in real time according to the adjusted state while automatic correction is performed, the quality of the output image is ensured, and when the quality of the output image meets the design requirement, self-adaption is stopped.

An optical communication system includes a display having display pixels operable to display an image and a digital camera disposed and operable to capture and record the displayed image. A digital camera frame rate can be greater than a display frame rate. Multiple digital cameras can be disposed and operable to capture and record the displayed image. A mirror can be disposed to reflect the image from the display to a digital camera. One or more intermediate digital cameras and displays can be disposed to capture and re-display the image for the digital camera. Images can include encoded addresses for the digital cameras. Synchronization display pixels can indicate new displayed images to trigger a digital camera to record the new displayed image. A camera light emitter can indicate that a digital camera has recorded a displayed image.

The invention relates to the field of biological recognition and environmental monitoring, and discloses a chironomidae larva recognition system based on deep learning and image recognition, which comprises an image acquisition module, an automatic sample processing device, an image superposition processing module, a deep learning recognition module and an automatic category classification and statistics module, the image acquisition module acquires multi-focal plane chironomidae larva images through an optical microscope and a digital camera, the automatic sample processing device realizes automatic loading operation of a sample, and the image superposition processing module performs adaptive fusion on the multi-focal plane images to generate a full-focal plane image containing multiple pieces of depth information; the deep learning recognition module is used for extracting fine structure features of chironomidae larvae and automatically recognizing and classifying different types of chironomidae larvae, and the automatic type classification and statistics module is used for performing statistical analysis according to classification results and generating a report of type distribution and time sequence change. The method is suitable for automatic monitoring of water ecological environment.

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.

The invention provides a wafer detection method based on a line-scan digital camera, and an image splicing method and device. The wafer detection method comprises the following steps: controlling a wafer to be detected to move according to a spiral line track; in the moving process of the to-be-detected wafer, image acquisition is carried out on the to-be-detected wafer by using the line-scan digital camera to obtain a plurality of line images output by the line-scan digital camera. And carrying out image splicing based on a plurality of line images output by the line-scan digital camera, and determining a wafer image. Therefore, the to-be-detected wafer can be detected based on the wafer image. Through the method, the to-be-detected wafer can be controlled to move according to the spiral line track, so that the line-scan digital camera can scan all the to-be-detected wafers through one-time scanning, then the wafer image is obtained through image splicing for detection, the to-be-detected wafer does not need to be moved many times, the wafer detection time can be shortened, and the detection efficiency is improved. And the wafer detection efficiency is improved.

An on-board insect monitoring system, comprising insect luring and capturing means, a digital camera, cleaning means, and a processor configured to acquire images or video from the camera, recognize at least one insect species; count insects of the species, evaluate an insect density, provide an indication corresponding to the recognition, the count and / or the density, and actuate the cleaning means in response to the density. A method for monitoring and predicting insect populations, comprising providing insect monitoring stations for collecting data comprising a presence of an insect species, a number of insects of the species, and / or and a total number of insects, providing the data to a server, retrieving previously received data, determining, a change in the data, ascribing, to each station, a predicted value for the data based on the changes and the station locations and providing the data and / or the predicted value to a user.

Module for housing electronic and electromechanical medical equipment including a portable digital camera and processing circuitry with machine vision and machine learning software for automatically documenting healthcare events and healthcare equipment operations in the electronic health record.

The invention provides a positioning system that autonomously and continuously positions interchangeable camera devices on the subject as they move allowing the camera device to leverage its native functionality without modification or connectivity to the MTDS. The embodiments of the MTDS are configured to attach and align varying size of digital cameras, video cameras, mobile devices with a camera, or smart assistants with an embedded camera, action camera, webcam or laptop with embedded camera to the stand. The MTDS tracks the movements of the user during any video conference, photography or videography session. The MTDS includes a sensor, separate from the camera on the camera device, that sends the sensor data stream to a microcontroller in the stand and a machine learning co-processor detects the presence of a person. As the speaker or subject (user) moves, the MTDS tracks their movements and directs motors in the stand to pan or tilt the stand to orient the camera device's camera at the user. Through movement of the stand, the speaker or user stays centered in the camera frame. No data connections or software integrations are required to operate the MTDS.

Module for housing electronic and electromechanical medical equipment including a portable digital camera and processing circuitry with machine vision and machine learning software for automatically documenting healthcare events and healthcare equipment operations in the electronic health record.

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.

Digital cameras comprising a lens assembly comprising N lens elements L1-LN starting with L1 on an object side, wherein N is ≥4, an image sensor having a sensor diagonal SD, and a pop-out mechanism that controls a largest air-gap d between two consecutive lens elements within lens elements L1 and LN to bring the camera to an operative pop-out state and a collapsed state, wherein the lens assembly has a total track length TTL in the operative pop-out state and a collapsed total track length cTTL in the collapsed state, wherein SD is in the range of 7-20 mm and wherein cTTL / SD<0.6.

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 provides a planning control method and device for a space target pointing attitude by a remote sensing satellite, and the method comprises the steps: obtaining an attitude quaternion from a satellite body system of the remote sensing satellite to a load coordinate system, acquiring a satellite orbit state and a space target orbit state at the current moment; determining the intersection moment of the remote sensing satellite and the space target through an orbit pre-pushing model; and determining the shooting time of a linear array camera based on the intersection time of the remote sensing satellite and the space target, and obtaining the space unit vector of three axes of a satellite load coordinate system corresponding to the expected attitude of the remote sensing satellite at the shooting time. According to the invention, the imaging of the line-scan digital camera is more accurate, the control precision of the pointing attitude of the remote sensing satellite is improved, and the problem of poor control effect of the remote sensing satellite in the prior art is solved.

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.

A technique for generating a digital photograph comprises blending two related images, each sampled according to a different illumination environment. The two related images are blended according to a blend surface function that includes a height discontinuity separating two different blend weight regions. Color consistency between the two related images is achieved by spatial color correction prior to blending. The technique enables a digital camera to generate a strobe image having an appearance of consistent color despite discordant strobe and ambient scene illumination.

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 provides a bas-relief three-dimensional reconstruction method based on a monocular image, and belongs to the technical field of image processing. A digital camera is used for collecting relief images, dense point clouds containing 3D coordinates and RGB values are generated based on a photogrammetry method, and a bas-relief data set containing monocular images and semantics, soft edges and depth labels of the monocular images is established. Training a soft edge enhanced multi-task neural network framework based on the labeled data, simultaneously extracting semantic, edge and depth features in a monocular image in the framework, and taking the semantic and edge features as effective clues of a depth estimation task through a multi-task loss function and an edge comparison module; the depth estimation capability of the model on the detail part is enhanced, and the precision of three-dimensional reconstruction is improved. According to the method, the corresponding soft edge and semantic information can be directly extracted from a monocular relief photo, a depth estimation task is assisted, the capability of capturing details of an edge region is enhanced, and the precision of subsequent bas-relief three-dimensional reconstruction is effectively 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 variable-resolution display comprises a display substrate and pixels disposed on the display substrate. Adjacent pixels are arranged over the display substrate with different spatial separations and at different spatial resolutions in one or two dimensions so that some portions of the display substrate have a greater spatial density of pixels and other portions of the display substrate have a lesser spatial density of pixels. The pixels are controlled to emit light in response to an unchanging image frame comprising image data for each pixel during a temporal frame period. An optical communication system comprises a variable-resolution display and a camera system comprising a digital camera, a memory, and a processor. The digital camera is disposed relative to the variable-resolution display such that the digital camera is operable to record an image displayed on the variable-resolution display and the processor is operable to process the recorded image.

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.