1680 results about "Image processor" patented technology

An AI based inventory control system. A first moveable drawer, the first moveable drawer moveable from a first position to a second position. A first camera arranged to generate an image of an inventory item contained within the first moveable drawer. An image processor in operative communication with the first camera, the image processor configured to process the image generated by the first camera. An AI engine performing recognition on the processed image received from the image processor.

The invention relates to a resource-limited large model heterogeneous training method, computer equipment and a storage medium, and the method comprises the steps: determining a first activation amount according to a dependency relationship between calculated amounts corresponding to the activation amounts and / or the calculated amount and the storage amount of each activation amount in the activation amounts generated when an image processor carries out model forward propagation, the first activation amount is asynchronously transmitted to the central processing unit; loading a first activation amount to the image processor from the central processing unit in a model back propagation process; obtaining the gradient of the model parameter calculated by the image processor based on the first activation amount, and asynchronously transmitting the gradient to the central processing unit; and determining an optimizer obtained based on gradient updating in the central processing unit, obtaining model parameters obtained by adjustment of the updated optimizer, and asynchronously transmitting the model parameters to the image processor. By adopting the method, the problems that a large model with limited video memory resources is difficult to train and the computing efficiency of a video card is low can be solved.

Nonlinear peri-codec optimization for image and video coding includes obtaining a source image including pixel values expressed in a first defined image sample space, generating a neuralized image representing the source image, the neuralized image including pixel values that are expressed as neural latent space values, encoding the input image wherein the neural latent space values are used as pixel values in a second defined image sample space and the input image is in an operative image format of the encoder, such that a decoder decodes the encoded image to obtain a reconstructed image in the second defined image sample space, wherein the reconstructed image is a reconstructed neuralized image including reconstructed neural latent space values, such that a deneuralized reconstructed image corresponding to the source image is obtained by a nonlinear post-codec image processor in the first defined image sample space.

The embodiment of the invention provides an image processor, an image rendering method and electronic equipment, and is applied to the technical field of image processing. The image processor comprises an acquisition module used for acquiring a plurality of fragments. The first rendering module is used for executing first rendering processing on the multiple fragments, and the first rendering processing comprises the steps that visibility information of the multiple fragments is determined according to the depth information of the multiple fragments, and the visibility information is updated according to a removing instruction in a rendering task, the visibility information is used for indicating at least one of the following items: at least one visible fragment in the plurality of fragments or visible pixels of the at least one visible fragment. And the second rendering module is used for executing second rendering processing on the at least one visible fragment according to the visibility information to obtain the first image. According to the embodiment of the invention, the recognition and elimination of the invisible fragments and / or the invisible pixels are realized through the operation, the processing amount and the power consumption of image rendering are reduced, and the image processing precision is improved.

The disclosed invention relates to a method for processing image data of an image sensor comprising a matrix of light sensitive elements and a plurality of lens elements and / or filter elements arranged in a pixel matrix in front of a finer sub-pixel matrix of light sensitive elements. A group of light sensitive elements are placed behind a common lens element and / or a common filter element to provide sub-pixel values for a respective position in the pixel matrix. Said image sensor is adapted to capture image data for a plurality of views, wherein each view comprising a matrix of a selected group of sub-pixel values of the pixel matrices captured by the matrix of light sensitive elements.According to the invention, for each captured view of the image, first variations of sub-pixel values in the respective view are determined separately from other views of the same image. Second variations of sub-pixel values related to the same position in the pixel matrix behind a respective lens element and / or filter element are determined in a set of views of the same image. The image data for the image are processed by use of the determined first and second variations.

A vehicular vision system includes a plurality of cameras disposed at a vehicle, a multiplexor operable to aggregate the image data from the cameras into aggregated image data, and an interior rearview mirror assembly disposed at the vehicle remote from the multiplexor. The interior rearview mirror assembly includes a mirror head adjustably disposed at a mounting base configured to attach at an interior portion of the vehicle. The mirror head includes a mirror casing and a mirror reflective element. The interior rearview mirror assembly includes an image processor for processing image data. The interior rearview mirror assembly includes a display for displaying images captured by the cameras. The image processor, responsive to receiving the aggregated image data transferred from the multiplexor, displays at the video display video images derived at least in part from the aggregated image data.

The invention discloses a transformer oil leakage detection method and device based on polarization-ultraviolet fusion imaging, and the device comprises a housing, a support, a camera, an environment induction device, an overall controller, a power supply, a polaroid rotating wheel assembly, a lens seat assembly, and an image processor. And the motor driver, the illumination intensity sensor, the ultraviolet irradiance sensor, the image processor and the power supply are electrically connected with the integral controller respectively. According to the invention, a multi-angle polarization image and a non-polarization image in the same field of view can be acquired, and then polarization characteristics contained in an oil stain fluorescence signal are extracted and effectively distinguished from non-polarization characteristics of background light; in the daytime mode, the transformer oil leakage detection device can identify a target area with relatively high polarization intensity, and through image fusion enhancement processing, non-target background signals are significantly suppressed, and the fluorescence significance of an oil leakage characteristic area is improved.

An automated parking control device includes: a surrounding environment recognition device that acquires surrounding environment information of a vehicle; a parking controller that searches for an available parking area, generate a target route to the available parking area, and control the vehicle to move along the target route; an image processor that estimate a distance to a three-dimensional object and a slippage level of a road surface; an image map generator that generate a road a slippage level map; a wheel selector that predicts routes of vehicle's wheels, superimposes the routes on the map, and selects a wheel expected to pass through a route where the wheel is most unlikely to slip; and a movement amount calculator that acquires a wheel speed pulse of the selected wheel and calculates a movement amount of a reference position of the vehicle.

A system includes a processor circuit that receives intraluminal images obtained by an intraluminal imaging device during movement through a patient's body lumen. The processor circuit outputs, to a display, a visual representation of user guidance in response to the processor circuit identifying, among the intraluminal images, a candidate intraluminal image. The user guidance includes stopping the movement and instructing the patient to initiate deep breathing. The processor circuit receives additional intraluminal images obtained by the intraluminal imaging device while the movement is stopped and the patient is deep breathing. The processor circuit determines if a shape and / or size of the body lumen changes in the additional intraluminal images. The processor circuit accepts or rejects the candidate intraluminal image based on if the shape and / or size of the body lumen changes. The processor circuit outputs, to the display, a visual representation corresponding to accepting or rejecting the candidate intraluminal image.

The invention discloses a time sequence control circuit of display equipment and the display equipment. The time sequence control circuit of the display equipment comprises a frequency detection circuit, a cache circuit and a clock generation circuit, wherein the frequency detection circuit is configured to perform frequency detection on a synchronizing signal corresponding to image data sent by the image processor to obtain a frequency marking signal, and the frequency marking signal represents the frame rate of the image data; the cache circuit is configured to cache image data; the clock generation circuit is coupled to the frequency detection circuit and is configured to generate a target pixel clock according to the frequency flag signal, and the target pixel clock is used for enabling the display panel to display the image data according to the refresh rate corresponding to the target pixel clock. By means of the mode, the frame rate of the image data can be dynamically detected, then the refresh rate of the display panel is dynamically updated / switched, the power consumption of the time sequence control circuit is reduced, and matching of the frame rate and the refresh rate is achieved.

The embodiment of the invention provides a chip system, an image processing method and electronic equipment, and is applied to the technical field of chip image processing. The chip system comprises an image processor, a neural network processor and a scheduling circuit. Wherein the image processor is used for outputting a first rendered image according to the image subtask. And the scheduling circuit is used for instructing the neural network processor to acquire the first rendered image according to the scheduling sub-task. And the neural network processor is used for performing neural network algorithm processing on the first rendered image according to the operation subtask and outputting an operation result. And the scheduling circuit is also used for indicating the image processor to obtain an operation result according to the scheduling sub-task. And the image processor is also used for carrying out image processing on the operation result according to the image subtask to obtain a second rendered image. According to the embodiment of the invention, image processing is carried out based on multi-IP linkage so as to improve the imaging quality, the power consumption and the processing complexity of a chip system are reduced, and the method can be suitable for different chip architectures.

The invention discloses a fan blade surface image acquisition system and acquisition method based on a galvanometer. The wide-angle camera is right opposite to a fan blade, the galvanometer control module is arranged right below the wide-angle camera, the high-magnification camera is arranged on the side of the galvanometer control module in the mode of facing the galvanometer control module, and the optical axis of the high-magnification camera is perpendicular to the optical axis of the wide-angle camera. The wide-angle camera and the high-magnification camera are respectively used for shooting a global surface image and a local surface image of the fan blade, and the wide-angle camera, the high-magnification camera and the galvanometer control module are electrically connected with the image processor. The variable-view camera module is constructed through the two cameras, synchronous acquisition of high-resolution image information of the surface of the fan blade under the large view is realized by combining the two-dimensional galvanometer, the problems of unclear imaging of the blade image, low acquisition efficiency and the like are solved, the health state monitoring and defect repairing of the blade in a wind power project are realized, and the method is suitable for popularization and application. The method has important theoretical significance and application value.

There is provided a technique for implementing instantly responsive communication flexibly by setting communication occasions in an on-demand manner that are not included in a communication plan scheduled in advance for inter-satellite optical communication. One aspect of the present disclosure relates to a satellite including an optical signal obtainer that captures an optical beacon transmitted from a relay satellite in response to a communication request received from an earth station, an image processor that retrieves a bright spot in a captured image frame, an optical beacon detector that detects the optical beacon based on a flickering state of the retrieved bright spot, and an optical communicator that establishes inter-satellite optical communication with the relay satellite based on the detected optical beacon.

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 discloses a multi-scale lightweight brain tumor segmentation method based on improved YOLOv8n-Seg, belongs to the technical field of medical image processor artificial intelligence, and designs a novel down-sampling module FLRDown fusing low-rank convolution and Fourier transform to replace standard convolution operation in a YOLOv8n-Seg backbone network. Further improvement is carried out on the basis of a SimAM attention mechanism, and a novel attention module-AdaSimAM is provided; on the basis of an original YOLOv8n-Seg segmentation header, an LCSDSH segmentation header network is designed, the structure of the header network is optimized, and redundant parameters are reduced. According to the method, a structure optimization and feature enhancement mechanism is introduced, the calculation complexity of the model is effectively reduced, meanwhile, the perception ability for a small target area is enhanced, the robustness and generalization ability of the model in multi-scale tumor recognition are improved, and therefore the method is more suitable for the actual requirement for automatic segmentation of the brain tumor in clinical practice.

An image processor of the disclosure includes: an image sensor that captures an image of an underwater measurement target; a first laser light source that emits first laser light underwater; a second laser light source that emits second laser light underwater from a position that differs from the first laser light source; and a correction data generation unit that generates, on the basis of first information acquired by causing the image sensor to capture images of the first and second laser light beams at a first water depth and second information acquired by causing the image sensor to capture images of the first and second laser light beams at a second water depth which is a water depth at which the image sensor captures an image of the measurement target, correction data used to correct distortion in a captured image captured by the image sensor at the second water depth.

An image processor for a medical observation device includes a color conversion function, The image processor is configured to retrieve an input pixel of a digital input color image and a location of the input pixel in the input color image, and apply the color conversion function to the input pixel to generate an output pixel in a digital output color image. The color conversion function depends on the location of the input pixel.

This invention provides an image processor, a processing method, a storage medium, and a mixed reality display system. The image processor includes: a first color management module, whose input is connected to a rendering module, for acquiring virtual layer data from the rendering module and performing first color processing on it; a second color management module, whose input is connected to a camera module, for acquiring real-world layer data from the camera module and performing second color processing on it; a layer blending module, whose inputs are respectively connected to the first and second color management modules, for performing layer blending processing on the color-processed virtual layer data and real-world layer data to determine mixed image data; and a third color management module, whose input is connected to the layer blending module, for acquiring mixed image data from the layer blending module, performing third color processing on it, and outputting the third-color-processed mixed image data to a mixed reality display.

The invention relates to the field of robot automation control, in particular to a target board pose tracking device and method based on deep learning, the device comprises a sensor, a target board, an image processor and a displayer, the target board is arranged at the tail end of a mechanical arm, and the sensor is used for collecting image data of the target board and the mechanical arm; the sensor is connected with an image processor through a data line, a software system is integrated in the image processor, the image processor is connected with a displayer, and the displayer displays the posture of the mechanical arm. A software system of the device is based on a deep learning tracking method, an imaging quality deterioration mechanism is considered, imaging quality deterioration data is constructed in a data simulation mode, a simulation data set is adopted to train a pre-training model, then part of data is collected in an artificial simulation environment to serve as real data to be used for training a target detection model, and a target detection result is obtained. And on the basis of continuous frame depth detection features and motion continuity, the accuracy and robustness of target real-time tracking are improved, and finally, an accurate pose result is obtained in combination with standard template data.

The invention relates to the technical field of image exposure, in particular to an image exposure system of code scanning equipment. The system comprises a CMOS chip which is internally provided with an automatic exposure unit and is used for collecting images and counting the brightness mean value of each frame of image; wherein the CMOS chip acquires an image in a first mode in a stop stream state, and acquires an image in a second mode in a start stream state; and the processor is used for executing an automatic exposure algorithm on the brightness mean value corresponding to the last frame of image in the stop stream state to generate a corresponding exposure parameter, and then transmitting the exposure parameter to the CMOS chip as an initial exposure parameter when the CMOS chip exposes the first frame of image in the start stream state. In the stop stream state, the brightness statistics is performed through the low-resolution image, and the brightness mean value of the last frame of image is used as the exposure basis of the first frame of image in the start stream state, so that the number of image frames required by image convergence to exposure stability is remarkably reduced, and the code scanning response speed is improved.

To provide an image processing apparatus which can suppress reduction of ranging accuracy when accuracy of stereo ranging is reduced.SOLUTION: An image processing apparatus comprises: a second ranging unit (stereo region parallax calculation unit) 200 which can measure a distance to an object by obtaining a parallax in a stereo processing region in which fields of view of at least two imaging apparatuses overlap each other among a plurality of images; an object common image capture region determination unit (object common image capture region calculation unit) 500 which determines an object common image capture region being a region of the object which can be imaged by a plurality of imaging apparatuses in common, on the basis of a detection result of an object detection unit 301, a result of ranging by a first ranging unit 302, and a geometric relation of the plurality of imaging apparatus; and a distance output unit (distance selection unit) 600 which outputs a result of ranging by the first ranging unit 302 or the second ranging unit 200 as a distance from a vehicle to the object depending on the object common image capture region.SELECTED DRAWING: Figure 1

The invention provides a self-checking and self-correcting device of an electronic endoscope system and the electronic endoscope system. The self-checking and self-correcting device is mechanically connected to an image processor through an anti-lost device; the self-checking and self-correcting device comprises a shell, a circuit board, a plug and an image sensing module, the circuit board is arranged in the shell, and the plug is arranged on the outer side of the shell, electrically connected with the circuit board and used for being connected with an endoscope socket on an image processor in a pluggable mode; the image sensing module is electrically connected with the circuit board and is used for acquiring image information. Before an operation, the self-checking and self-correcting device replaces a disposable endoscope to be installed on the image processor and is used for debugging an endoscope system, the self-checking and self-correcting device is pulled out after debugging is completed, then a disposable electronic endoscope is installed, the disposable electronic endoscope is saved, and unnecessary waste is avoided; and the debugging time is greatly saved, so that the time efficiency of an operation is ensured.

The invention discloses an image processor, a camera module, electronic equipment and a photographing method. The image processor comprises at least one control unit, at least two selection units and a pixel array, the pixel array comprises at least two pixel blocks; each selection unit is connected with one control unit, and each selection unit is respectively connected with the control ends of at least one row of pixel units or at least one column of pixel units in the pixel array; wherein different selection units are connected with pixel units in different rows or pixel units in different columns in the pixel array; under the condition that the control unit receives a first control signal, pixel blocks corresponding to at least one selection unit in the pixel array are controlled to be opened through the at least one selection unit; and under the condition that the control unit receives a second control signal, controlling the pixel block corresponding to at least one selection unit in the pixel array to be closed through the at least one selection unit.

The invention discloses a frequency response testing device and method for a high-frequency working deformable mirror, and relates to the technical field of adaptive optics, and the device comprises a pulse signal generator which generates a pulse signal of a first frequency and a pulse signal of a second frequency, the first frequency is equal to the working frequency of the deformable mirror, and the second frequency is equal to the working frequency of the deformable mirror; the second frequency is equal to the sampling frequency of the Shack-Hartmann wavefront sensor, the laser generating part emits parallel light beams to the deformable mirror, the action driver works based on a pulse signal of the first frequency and drives the deformable mirror, and the Shack-Hartmann wavefront sensor works based on a pulse signal of the second frequency and drives the deformable mirror to rotate. And collecting and imaging the reflected light beam of the deformable mirror to obtain a light spot array image, processing the light spot array image by the processor to obtain a reconstructed wavefront image, and continuously adjusting the working frequency of the deformable mirror to complete the frequency response test of the deformable mirror. The cost for testing the frequency response of the high-frequency working deformable mirror can be greatly reduced.

A pallet inspection system includes a conveyor to move a pallet that is to be inspected. The pallet includes a top deck and a bottom deck separated by spaced apart support blocks positioned therebetween, with nails being used to secure the top and bottom decks to the support blocks. Cameras are positioned to generate images of the pallet as the pallet is moved on the conveyor. A processor is coupled to the cameras and receives the images for processing. The processing includes executing a first algorithm on the images to tag the images having support blocks visible therein, and executing a second algorithm on the tagged images to detect nails having exposed tips.

The invention discloses a method for accelerating sparse multi-scalar multiplication by using an image processor, which belongs to the technical field of parallel computing, and comprises the following steps: managing scalar vectors participating in operation and point vectors in a group by a CPU (Central Processing Unit), and applying for sufficient memory on a GPU (Graphics Processing Unit) to store the contents; the CPU and the GPU work asynchronously, the GPU carries out bucket distribution, bucket summation and bucket merging calculation, and finally a calculation result in a window is obtained. According to the method, firstly, the sparsity of the scalar is fully utilized, the performance is excellent especially when large-scale data is processed, and the performance is remarkably improved; secondly, the design of the multi-GPU parallel computing architecture gives full play to the advantages of GPU hardware resources, and the load balance is finely regulated and controlled by the method, so that the resource overhead of the system is reduced; finally, the adopted parallel processing technical scheme enables MSM operation to be efficiently expanded to a multi-node multi-GPU environment, and the efficient calculation requirement of a large-scale zero-knowledge proof system is met.

The invention relates to the technical field of visual navigation, and discloses a visual navigation AGV (Automatic Guided Vehicle) transportation system, which comprises a visual guidance module, a driving module, a path planning and control module and an obstacle avoidance and safety module, the visual guidance module is responsible for acquiring real-time image or video data of an environment through a camera and transmitting the real-time image or video data to the path planning and control module, and comprises a 3D deep high-definition camera, an image acquisition card, an image processor and a display screen; the driving module is responsible for driving the AGV to move according to the control instruction, so that the AGV moves along a predetermined path, receiving speed and direction instructions from the path planning and control module, and executing the instructions; the path planning and control module is responsible for receiving environment data from the visual guidance module and calculating an optimal driving path in combination with a built-in algorithm; the obstacle avoidance and safety module is used for detecting and preventing the AGV from colliding with an obstacle in the driving process. The material carrying device has the advantage of meeting the material carrying requirement under the complex and changeable environment.

A vehicle including a glazing, a wiper, a detection unit and a processor is disclosed. The detection unit may be configured to capture images of a vehicle interior portion and a vehicle surrounding. The processor may be configured to determine a precipitation intensity and that the vehicle may be in a stationary state. The processor may further determine that a user located in the vehicle interior portion may be looking out of the vehicle through the glazing based on inputs obtained from the detection unit, responsive to determining that the vehicle may be in the stationary state. The processor may further cause a wiper movement at a speed associated with the precipitation intensity, when the user may be looking out of the vehicle through the glazing.

A multi-arm robotic surgical system having an endoscopic camera (C) coupled to a robotic arm and a plurality of surgical instruments each detachably coupled to a robotic arm. The multi-arm robotic surgical system further comprises of a surgeon console having a master controller, a left-hand controller and a right-hand controller, a three-dimensional (3D) HD monitor, a two-dimensional (2D) touch screen monitor, a pair of trackable 3D glasses to be worn by the surgeon, a head tracking camera, a foot pedal controller, a control panel for performing emergency system functions, an electrosurgical unit interface, an image processor configured to process a 3D image data received from the endoscopic camera (C), a digital device configured to prepare an image data by using the processed 3D image data received from the image processor and superimposing it with a 2D overlay including a status of the plurality of surgical instruments and display on the 3D HD monitor and a patient side staff 3D monitor.

Disclosed is an intraluminal imaging system, including an intraluminal imaging catheter or guidewire configured to be positioned within an anatomy of a patient, and a processor circuit in communication with the imaging catheter or guidewire, wherein the processor circuit is configured to receive a plurality of cross-sectional images of the anatomy from the imaging catheter or guidewire. The processor is further configured to compute, using image processing of at least one of the cross-sectional images, a value of the anatomy, estimate a cross-sectional shape of the anatomy to be circular, calculate a diameter of the anatomy based on the computed value and the estimated circular shape, and output the diameter of the anatomy to a display.