63 results about "Digital image data" patented technology

The invention discloses a moving target identification and tracking system based on an analog micromirror array (AMA), belongs to the technical field of photoelectric tracking and machine vision, and aims to solve the technical problems of slow response, large inertia and complex structure of a traditional mechanical tracking system. According to the technical scheme, an AMA composed of a plurality of MEMS micromirror units which can be independently controlled and have the static or quasi-static two-dimensional deflection capacity is adopted as a non-mechanical light beam deflection actuator, the AMA can be composed of micromirror arrays in various forms, digital image data are analyzed in real time to solve the target offset, and the non-mechanical light beam deflection actuator is obtained. And an instruction is generated to drive the AMA to deflect at a high speed so as to compensate the deflection, so that continuous and stable locking and tracking imaging of the moving target are realized. The system has the advantages of being high in response speed, high in tracking precision, free of mechanical inertia and compact in structure, supports flexible switching of various working modes such as wide-area scanning and long-distance tracking, and is high in application flexibility.

The invention relates to a visual language model training method and system, and the method comprises the steps: providing a multi-modal geometric training data set which comprises a plurality of data units, each data unit comprises digital image data for encoding a geometric figure, a section of text data for describing a question to the geometric figure and a standardized answer encoded in a markup language format supporting machine analysis; generating one or more candidate answers according to the text data and the digital image data in the geometric training data set by applying a reinforcement learning framework and taking the visual language model as a strategy; for each generated candidate answer, a reward function module is applied to allocate a reward value. According to the method, generalized space intelligent improvement is realized, the effectiveness and robustness of training are improved, and the model can be encouraged to explore different problem solving paths and find a correct reasoning chain.

The invention belongs to the technical field of digital image transmission, and particularly relates to a digital image transmission system based on ultra-low time delay, which comprises the following steps: firstly, acquiring digital image data in a scene in real time by using a high-frame-rate and low-noise image sensor, and transmitting the acquired original image data; then, carrying out preprocessing operation on the collected original image data; then, a deep neural network model is utilized to adaptively adjust coding parameters and a coding mode according to the content characteristics of the image and the real-time transmission bandwidth condition; on the basis, the adaptive lightweight coding module is arranged, a complex inter-frame prediction algorithm in a traditional coding standard is abandoned, a block-level differential coding mode is adopted, and coding parameters and modes are adaptively adjusted according to image content characteristics and real-time transmission bandwidth; the method has the advantages that the coding delay is effectively reduced, and the high-real-time scene coding requirement is met.

This device reads radiographic images stored on dental imaging plates and converts them into digital image data. To use it, the imaging plate is placed in the patient's oral cavity for radiographic imaging. After imaging, the imaging plate is removed from the patient's mouth and inserted into this device for reading the radiographic images.

The invention relates to the technical field of medical instruments, and discloses an optical-mechanical-electrical integrated imaging system of a minimally invasive surgical instrument. The system comprises an illumination light path regulation and control device which is used for receiving ambient light parameters and dynamically adjusting spectral distribution and illumination intensity of emergent light; the image acquisition device comprises a miniature image sensor and an optical assembly associated with the miniature image sensor, and the miniature image sensor is used for acquiring optical signals of an operation area and converting the optical signals into digital image data; and the image processing device is used for receiving the digital image data output by the image acquisition device and performing multi-stage image enhancement operation, noise suppression operation and contrast optimization processing operation on the digital image data. Through collaborative optimization of the illumination light path regulation and control device and the image processing device, the technical problem that a traditional endoscope is poor in imaging quality in a low-light environment is effectively solved. Meanwhile, the modular design of the system is combined with the advanced manufacturing process, so that the system is endowed with high functional flexibility and scene adaptability.

The application provides a low-bubble adhesive label quality monitoring method and system based on image analysis, and belongs to the technical field of adhesive labels. The low-bubble adhesive label quality monitoring method based on image analysis comprises the following steps: acquiring image acquisition data of a low-bubble adhesive label, wherein the image acquisition data is digital image data obtained by imaging the low-bubble adhesive label containing a pattern area under preset imaging conditions; performing image processing on the image acquisition data to generate processed image data for representing label region brightness distribution, gray scale distribution and texture distribution; analyzing image abnormalities formed by bubble points in an adhesive layer at corresponding apparent positions of a face material layer according to the processed image data to generate bubble point candidate region data; and performing quality determination on the low-bubble adhesive label according to the bubble point candidate region data to obtain a quality monitoring result.

A method for execution by a computing entity for producing a virtual reality environment includes acquiring laser scan digital image data of an environment object obtained and matching the image data to a digital image representation of an impairment. The method further includes matching digital sound sensor information of the environment object to a digital sound representation of the impairment and determining a similarity score to a stored impairment audio profile that exceeds a threshold. The method further includes obtaining bullet-points regarding the impairment and generating a model that enables subsequent rendering of video frames to represent the impairment pertaining to the bullet-points. The method further includes rendering the model to form video frames depicting the impairment for the virtual reality environment.

A data manager is directly communicatively connected to multiple components of a digital image generation system for medical samples. The data manager provides a single integration point for a platform provider that provides a viewer for the user to visualize the digital image data. The data manager provides communications between the platform provider and local components that can generate and / or store sensitive health information, such as the digital image data.

Various embodiments of the present disclosure relate to a display apparatus, a data driving circuit, and a display driving method. More particularly, a display apparatus, a data driving circuit, and a display driving method can be provided, the data driving circuit including a gamma driving power detection circuit for detecting a gamma driving power for driving the data driving circuit, and digital image data supplied to the data driving circuit can be controlled according to a gamma driving power measurement value detected by the gamma driving power detection circuit, thereby reducing an increase in temperature of the data driving circuit and improving image quality.

This invention discloses a display driver chip, comprising: a receiver, a digital register, and a high-voltage rail-to-rail operational amplifier; the digital register is connected to the receiver and is used to temporarily store digital image data converted by the receiver; the high-voltage rail-to-rail operational amplifier comprises: a plurality of PMOS transistors and a plurality of NMOS transistors, which form a complementary architecture and a layered structure design in the high-voltage rail-to-rail operational amplifier to accommodate circuit designs with different voltage ratings. The high-voltage rail-to-rail operational amplifier ensures full-amplitude output, and the combination of low-voltage and high-voltage devices reduces the size of the chip circuit structure, improves the circuit integration of the display driver chip, thereby reducing the power consumption of the display driver chip and improving the reliability of the display device.

The invention relates to methods for localizing objects on the basis of digital image data. The present method for determining the location of objects in a surrounding environment on the basis of image data comprises receiving an image, captured by a recording device, which contains an object in the surrounding environment. The received image is processed and objects in the image are identified. The identified objects in the image are then localized on the basis of data obtained through the following steps: determining the geo-position of the point of capture of the image; determining the angle at which each identified object is situated in relation to the point of capture, on the basis of the data of the azimuth of the capture and the horizontal location of each identified object in the image; determining the distance to each identified object in the image from the point of capture; displaying the localized objects on a digital map. The invention makes it possible to improve the accuracy in determining the location of objects in digital images taken of a surrounding environment.

Systems, methods, and apparatuses disclosed herein can store a first copy of digital image data that is related to an image, for example, a scene. These systems, methods, and apparatuses can store the first copy of digital image data as unprocessed digital image data in a raw image format that includes color information for each pixel of the image. Often times, not all the available system resources, such as central processing unit (CPU) resources, memory resources, system bandwidth, and / or electrical power to provide some examples, are utilized by these systems, methods, and apparatuses to store the first copy of the digital image data. Some of the excess system resources can be utilized by these systems, methods, and apparatuses to store a second copy of at least some of the digital image data in the raw image format and / or in an image file format.

Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

This invention relates to the field of image transmission and processing technology, specifically disclosing an image transmission and processing method and system based on PAL camera input, including a PAL camera video input unit, an A / D video decoding and conversion unit, an FPGA data receiving and forwarding unit, and an ARM architecture processing system connected in sequence; after receiving digital image data, the ARM architecture processing system arranges the odd and even rows according to the odd and even field signals and stores them in DDR memory, calculates the absolute difference of grayscale pixel by pixel between the previous frame and the current frame and accumulates them to obtain the sum of grayscale differences between frames. If the sum is greater than a preset threshold, the data of each row of odd field is copied and inserted into the adjacent even row to form a complete frame before output; otherwise, the odd and even field data are arranged in an interleaved row manner to form a complete frame before output.

1. Name of the product in this design: Digital Camera (X03). 2. Purpose of this design: For capturing and storing digital image data. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

To simulate a 3D image of a subsurface below a surface, the system having a memory device for storing an instruction, a processor in communication with the memory device configured to execute the instruction, and a subsurface image capture module in communication with the processor, the subsurface image capture module having one or more wave generating device and one or more sensor affixed to a vehicle to capture a series of digital image datasets of the subsurface with a coordinate reference data, wherein the processor executes an instruction to generate a digital model of the series of digital image datasets of the subsurface while maintaining the coordinate reference data, wherein the processor executes an instruction to determine a depth map of the digital model, and wherein the processor executes an instruction to identify a key subject point in the digital model, where subsurface includes an internal biology, below ground, underwater.

The invention relates to the technical field of high-speed image acquisition and transmission, and provides a high-speed image acquisition system of a multi-task flight test platform, which comprises two camera modules for acquiring visible light color images and completing photoelectric conversion through an image sensor, sending the obtained digital image data into a first programmable logic device, and outputting two paths of high-definition video signals through an HD-SDI (High Definition-Serial Digital Interface) after the first programmable logic device performs format conversion and image preprocessing on the digital image data; and the encoder module is used for receiving the two paths of high-definition video signals output by the two camera modules, performing compression encoding on the two paths of video signals and realizing high-speed transmission of image encoding data. The defects that an existing flight test image collecting device is low in frame frequency and transmission speed, and high-dynamic flight process details are difficult to record under the limited bandwidth condition are overcome.

1. The name of the design product: digital camera. 2. The use of the design product: used for digital camera image shooting and can store digital image data. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.

A display apparatus and a display driving method are provided. The display apparatus can include a plurality of sub-pixels connected to the data lines, respectively; a data driving circuit configured to convert compensated digital image data into analog data voltages and to supply the analog data voltages to the data lines; a large capacity memory configured to store initial compensation data based on a characteristic value of each of the plurality of sub-pixels; a high speed memory configured to store sampled compensation data sampled from the initial compensation data of less than all of the plurality of sub-pixels in one frame; and a timing controller configured to control the data driving circuit, to determine final compensation data based on at least one of the sampled compensation data and the initial compensation data, and to output the compensated digital image data based on input image data and the final compensation data. Accordingly, the size of the memory and power consumption can be reduced.

1. The name of the design product: digital camera (X06). 2. The use of the design product: camera for image shooting and storing digital image data. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view 1.

Systems, devices, and methods are disclosed for determining provenance (e.g., origin, authenticity) for an object using digital image data of one or more objects. A system receives, via a network, digital image data of an object. The system determines from the digital image data, a set of feature variables, each corresponding to a characteristic of the object. The system can determine, via an artificial intelligence model and with input including the set of feature variables and a comparison dataset, an origin for the object. The artificial intelligence model generates, based on the portion of feature variables that match corresponding portions of the comparison dataset, an output indicative of an origin. The system can communicate, via the network, an indication of the provenance of the object.

A tractor impact detection system and detection method based on digital image processing relates to the technical field of tractor parameter detection, and structurally comprises an impact receptor module, a digital image acquisition module, a data processing module and a display module. The impact receptor module is used for converting impact of the tractor into deformation. The digital image acquisition module is used for acquiring digital image information of deformation. And the data processing module is used for processing the digital image information and calculating the impact force. The display module is used for displaying the detection result. The method comprises the following steps: 1, fixedly arranging the impact receptor module on a tractor to be tested; 2, the tractor is operated to generate impact; 3, a digital image acquisition module acquires a deformed digital image; 4, the data processing module processes the digital image and calculates the impact force; and 5, displaying a calculation result through a display module. According to the invention, the technical problem that the existing tractor impact detection means is difficult to realize precision and standardization can be solved.

Automatic prefilled syringe inspection systems, apparatus and methods are provided. The automatic syringe inspection systems, apparatus and methods may determine a plunger depth within a syringe that has been pre-filled with a medication. The plunger depth may be based on digital image data that is representative of a silhouette of at least a portion of a tubular vessel and at least a portion of a plunger within the tubular vessel.

This invention provides a method, system, and storage medium for wavelet basis extraction of digital images, belonging to the field of digital image data processing technology. The method includes: acquiring the PSF field, image tilt field, and amplitude sampling sequence covering a target image region, and establishing the spatial correspondence among the three; for each desired location within the target image region, extracting the PSF signal from the PSF field, extracting the image slope value, and constructing a sampling path along the slope direction in the PSF signal based on the slope value; performing amplitude superposition processing on the PSF signal along the slope direction to generate the wavelet basis function corresponding to the desired location; performing a one-dimensional convolution operation on the wavelet basis function and the amplitude sampling sequence along the vertical direction to generate a single-channel composite image corresponding to the desired location, and arranging all single-channel composite images according to their spatial positions to form the final image composite profile. This invention achieves an accurate method for wavelet basis extraction and digital image synthesis in digital images.

Motion capture systems (100) and methods (600) involve processing a series frames of digital video image data on-camera to determine the position of markers (108) attached to a moving subject (110) in the scene. Compressed video and corresponding marker position data or object model data are transmitted by each camera (102) while preserving correspondence or synchronization information between each frame of compressed video and the corresponding marker data or object model data. Each frame of the digital image data may be altered on-camera, before compression and transmission, to paint out the markers in the scene before the series of frames of digital image data, so altered, are encoded by a compression algorithm. The encoded and compressed video data and the corresponding marker data sets, or object data based thereon, may be utilized to train machine learning systems or other AI systems for markerless motion capture.

Retexturing items depicted in digital image data is described. An image retexturing system receives image data that depicts an item featuring a pattern. The image retexturing system identifies coarse correspondences between regions in the image data and a two-dimensional image of the pattern. Using the coarse correspondences, the image retexturing system establishes, for each pixel in the image data depicting the item, a pair of coordinates for a surface of the item featuring the pattern. The coordinate pairs are then used to generate a mesh that represents the surface of the item. The image retexturing system then applies a new texture to a surface of the item by mapping the new texture to a surface of the mesh. A shading layer and item mask are generated for the image data, which are combined with the retextured mask to generate a synthesized image that depicts the retextured item.

Automatic syringe quality control systems, apparatus and methods are provided. The automatic syringe quality control systems, apparatus and methods may determine a plunger depth within a syringe that has been pre-filled with a medication. The plunger depth may be based on digital image data.

Mechanisms are provided for performing an artificial intelligence (AI) based drive-through transaction. A digital image capturing device, in response to a vehicle entering a drive-through, captures a digital image of the vehicle. A computer vision operation is executed on the digital image to analyze data patterns and identify an identity of individual(s) within the vehicle. User profile(s) are retrieved that correspond to the individual(s) within the vehicle. A customized menu of products and / or services is generated based on user profile information and one or more menu items are pre-selected from the customized menu based on contextual information derived from at least one of audio or digital image data received during the drive-through transaction. A menu presentation computing device, located in the drive-through, is controlled to present the pre-selected menu item(s) and the customized menu.

The invention relates to a motion capture system and method for generating synchronized scene images and marker position data. Motion capture systems and methods involve processing a series of frames of digital video image data on a camera to determine a location of a marker attached on a moving subject in a scene. Each camera transmits the compressed video and the corresponding marker position data or object model data while retaining the correspondence or synchronization information between each frame of the compressed video and the corresponding marker data or object model data. Prior to compression and transmission, each frame of digital image data may be modified on the camera to remove markers in the scene prior to encoding a series of frames of so modified digital image data by a compression algorithm. Encoded and compressed video data and corresponding marker data sets or object data based thereon may be used to train machine learning systems or other AI systems for marker-free motion capture.