381 results about "Exposure control" patented technology

The invention relates to the technical field of intelligent detection, in particular to a container surface damage detection method and device based on machine vision, and the device consists of a multi-modal data acquisition module, a dynamic compensation processing module, a multi-modal data fusion module and a damage classification and positioning module. The multi-modal data acquisition module generates a high-density three-dimensional point cloud through double-laser line scanning, and acquires a multispectral image, an infrared thermogram and a real-time motion state. The dynamic compensation processing module integrates an optical flow method and acceleration data to realize sub-pixel-level motion compensation, and combines adaptive exposure control to optimize the imaging quality under complex illumination. The multi-modal data fusion module strengthens defect feature expression through space-time alignment and a double-branch collaborative attention mechanism, and model parameters are reduced through lightweight network design. And the damage classification and positioning module adopts an improved deep network to realize defect classification and complete millimeter-level three-dimensional positioning. The automatic detection requirement of a port is met, and the problems of poor container detection precision, poor adaptability and the like are solved.

The invention belongs to the technical field of industrial measurement, and discloses a pump machine metal shell size detection method based on image analysis, which comprises the following steps: synchronously acquiring image data of a pump machine metal shell in a visible light wave band and a near-infrared wave band; the contrast ratio of image data is optimized through a dynamic exposure control technology, and a high-dynamic-range multispectral image is obtained; three-dimensional geometric information of the pump machine metal shell is obtained, registration fusion is carried out on the three-dimensional geometric information and the high-dynamic-range multispectral image, a dense three-dimensional point cloud model with multispectral textures is constructed, and a multi-frequency heterodyne algorithm is adopted to process a high-reflection area in the dense three-dimensional point cloud model; the method comprises the following steps: collecting a multi-angle reflection image of a pump machine metal shell by rotating a linear polarizer, calculating a Stokes vector to extract a diffuse reflection component, carrying out diffuse reflection component constraint and brightness suppression on a high-reflection area based on a CIE-Lab color space, and outputting a dense three-dimensional point cloud model after texture enhancement; and the size detection precision of the pump machine metal shell is improved.

The invention discloses a monitoring image processing method and system for high-precision target tracking, and belongs to the technical field of monitoring processing, and the method specifically comprises the steps: collecting polarization data of incident light in a monitoring scene, and generating a physical attribute signature of a light source; carrying out space-time clustering analysis on pixel points of which the variable quantity exceeds an environment illumination baseline in the monitoring scene to form a physical boundary of an illumination mutation region; obtaining motion trail data of the target vehicle, and generating a motion trail space area of the target vehicle; marking an overlapping region of the physical boundary of the illumination abrupt change region and the motion trail space region as a dynamic interference source influence region; if the predicted position of the target vehicle is located in the dynamic interference source influence area, calling an exposure control parameter and a gain control parameter corresponding to the physical attribute signature, calculating a focusing control parameter according to the scene depth of the predicted position, and loading the focusing control parameter to a sensor control unit; according to the method, the problem of target key frame loss caused by AE / AF delay under dynamic illumination is effectively solved.

The invention discloses a three-coordinate structured light splicing method and system, and relates to the field of image processing, and the system comprises an acquisition module which is used for projecting a composite coding pattern through a structured light projection device, collecting workpiece surface deformation stripe images from preset multiple angles in cooperation with an industrial camera, and synchronously obtaining point cloud data under a structured light coordinate system, covering the whole surface features of the workpiece; according to the method, a composite coding pattern formed by combining a Gray code and a phase shift stripe is adopted, and self-adaptive exposure control and curvature-based path planning are combined, so that high-precision acquisition of complex curved surface details is realized, the phase calculation precision reaches a sub-pixel level, the scanning step length is dynamically adjusted according to the curvature of the curved surface, and the acquisition precision of a complex region is effectively improved.

The invention provides an exposure control method and device of a multi-path camera, a terminal and a storage medium, the method is applied to a multi-path camera system comprising a binocular camera serving as a main camera and a plurality of slave cameras, and the method comprises the following steps: generating a hardware synchronization signal for controlling camera exposure through the main camera, sending the hardware synchronization signal to a plurality of slave cameras; and when the plurality of slave cameras receive the hardware synchronization signal sent by the main camera, each slave camera triggers a corresponding exposure operation so as to simultaneously start exposure and image acquisition with the main camera under the control of the hardware synchronization signal. The exposure time of the slave cameras is accurately synchronized based on the mode that the master camera sends the hardware synchronization signal, so that synchronization of the master camera and the slave cameras at the pixel level is achieved, and it can be ensured that all the cameras start exposure at the same moment; the problem that in a traditional binocular camera system, an existing image synchronization and data alignment technology cannot meet the high-precision synchronization requirement in a scene with the high real-time requirement is solved.

The invention discloses a textile color difference detection method based on image data, and relates to the technical field of image processing and computer vision, and the method comprises the following steps: S1, collecting an image of a textile with a high reflection characteristic under a standard light source, constructing a light intensity prediction model, and carrying out the analysis based on pixel brightness distribution, identifying a brightness abrupt change region and a saturation critical region, and generating an image-level saturation risk probability graph; s2, performing multi-scale exposure area division on the image based on the image-level saturation risk probability graph, setting a target brightness range of each exposure control sub-area, and recording a global exposure parameter of the image acquisition equipment as an initial baseline of exposure scheduling; according to the method, pixel-level brightness convergence is realized through light intensity prediction and area exposure control, real color distribution is reconstructed in combination with color compensation, and a closed-loop process is constructed by introducing model self-correction, so that the detection precision and consistency of the micro chromatic aberration of the high-reflective fabric are improved, and the automation and industrial applicability are enhanced.

The invention discloses a method for correcting a high-precision surveying and mapping error based on the flight state of an unmanned aerial vehicle, and relates to the technical field of data error correction, and the method comprises the steps: obtaining task flight path surveying and mapping attitude data of a to-be-surveyed area of the unmanned aerial vehicle, and carrying out the dynamic weight distribution according to federated filtering; generating a task flight path space-time synchronization matrix of the surveying and mapping area of the unmanned aerial vehicle; establishing an exposure control-distortion compensation function according to the task flight path space-time synchronization matrix of the surveying and mapping area of the unmanned aerial vehicle, and correcting task initialization image parameters of the surveying and mapping area of the unmanned aerial vehicle to obtain task correction image parameters of the surveying and mapping area of the unmanned aerial vehicle; and updating the optimal estimation of the surveying and mapping attitude data of the task flight path of the surveying and mapping area of the unmanned aerial vehicle, and performing iterative matching with the map point cloud of the surveying and mapping area to generate a high-precision image of the surveying and mapping area of the unmanned aerial vehicle. The method has the advantages that the surveying and mapping precision of the unmanned aerial vehicle is improved, error accumulation is reduced, and image quality is optimized.

The invention discloses an internal combustion engine in-cylinder transient self-adaptive exposure control method based on FPGA acceleration, and belongs to the technical field of internal combustion engine endoscopic visualization. In order to solve the technical problem of image overexposure or underexposure caused by violent illumination change in the combustion process in an internal combustion engine cylinder, a real-time exposure detection unit is fused with a camera built-in sensor and an endoscope added sensor to monitor light intensity data; the adaptive exposure control unit accelerated by the FPGA adopts adaptive PID control and fuzzy logic control to generate a parameter adjustment direction, the adaptive PID dynamically adjusts gain based on a machine learning model, and the fuzzy logic outputs a decision according to a fuzzy rule base of brightness, light intensity and errors; the parameter adjusting unit adjusts the aperture size, the shutter speed and the light sensitivity in a linkage mode according to the target and actual gray scale difference value, and millisecond-level multi-parameter exposure control is achieved. Overexposure of a highlight area and loss of details of a low-light area are effectively avoided, and stable and clear images are obtained in the whole combustion process.

The invention discloses an image acquisition method and device, equipment, a storage medium and a program product, and relates to the technical field of image acquisition. The method is used for an image acquisition device, and the image acquisition device comprises a light supplement lamp, a master camera, a slave camera and a controller. The method comprises the following steps: the controller sends a first exposure control signal to the main camera; under the condition that the first exposure control signal is received, the main camera performs periodic exposure; under the condition that single exposure is completed, the master camera sends a frame synchronization signal to the slave camera; under the condition that the frame synchronization signal is received, the slave camera performs exposure; the controller controls the light supplementing lamp to perform periodic light supplementing based on the exposure time of the camera, and the light supplementing time period of the light supplementing lamp covers the exposure time period of the camera; and the master camera and the slave camera transmit acquired image data to the controller.

One or more of the described systems, methods, and apparatuses relate to imaging devices with integrated light exposure control. An imaging device comprises an image sensor and a light modulation layer coupled to the image sensor. The light modulation layer comprises a plurality of liquid-crystal (LC) device pixels over the image sensor. The imaging device comprises control circuitry coupled to the image sensor and the light modulation layer. The control circuitry is configured to apply a transparency mask to the light modulation layer by modifying, based on at least one frame captured at the image sensor, pixel attributes of the plurality of LCD pixels for modulating exposure of the image sensor.

The invention relates to the technical field of image processing, in particular to an in-orbit multi-stage real-time automatic dimming device and method for a spaceflight area-array camera. According to the device, an imaging module obtains an original scene image according to set integral time and transmits image data to an image coarse adjustment module; the image coarse adjustment module counts gray level distribution of an original image in real time, calculates first updating integral time, packages image data without overexposure or underexposure and sends the packaged image data to the image fine adjustment module; after the image fine adjustment module receives the image, scene recognition and gray level evaluation are carried out through a deep learning model, exposure parameters are dynamically adjusted according to the scene type, and image exposure control is achieved; and the image coarse adjustment module and the image fine adjustment module form a two-stage closed loop, so that the imaging module obtains integral time matched with a scene in real time. The method has the advantages that the integral time of the detector is automatically adjusted according to the detail content of the target scene, and the target image with the best image impression and detail is captured.

The invention discloses a displacement detection method and system for structural health monitoring. The displacement detection method comprises the following steps: step 1, building a displacement detection system; step 2, carrying out image acquisition and preprocessing by using the displacement detection system; 3, performing light spot identification and center coordinate extraction on the preprocessed image; 4, performing error compensation on an output result in the step 3 to obtain compensated data; and 5, transmitting the compensated data to a cloud server, and carrying out structural health intelligent analysis. According to the invention, high-dynamic exposure control and image adaptive enhancement are supported; the system has the comprehensive anti-interference capability on strong light interference, shadow shielding, thermal drift, vibration disturbance and light spot distortion; a double-level error modeling mechanism is introduced into the filtering algorithm, and high-frequency jitter and low-frequency drift are effectively filtered out.

The invention provides a vehicle management method based on visual identification. Comprising the following steps: performing visual image acquisition and basic feature identification on a vehicle in a target area, executing multi-source interference perception, acquiring raindrop volume concentration, a strong light incidence angle, vehicle tail gas heat flux density and a light intensity sudden change rate of the target area, and generating multi-factor coupling interference intensity data; executing dynamic exposure control based on the multi-factor coupling interference intensity data, outputting an exposure compensation coefficient and driving an image acquisition unit to adjust the shutter speed and the exposure duration; performing distortion correction feature extraction based on the image after exposure compensation coefficient correction, calculating image marginal definition and feature matching frequency deviation, and generating feature extraction confidence; judging whether to output a vehicle management recognition result or not according to the feature extraction confidence; the method can effectively deal with the composite interference scene, and solves the problems of low recognition precision and response lag.

The invention discloses a traffic behavior detection system based on visual identification, belongs to the technical field of visual identification, and solves the problems that overexposure is caused by strong backlight / switching inside and outside a tunnel and strong light, a camera is briefly blinded when a vehicle suddenly enters and exits the tunnel, and pedestrians or obstacles may be missed. Comprising a main vision unit, an auxiliary sensing unit, a polarization-intensity combined exposure control module, a space-time-spectrum tensor fusion module, a physical constraint target reasoning module and an anti-robustness enhancement module. And the main vision unit is connected with the polarization-intensity combined exposure control module. According to the system, a polarization high dynamic range camera of the main vision unit and a 4D millimeter wave radar and an event camera of the auxiliary sensing unit cooperatively collect data, exposure is dynamically adjusted to suppress overexposure, target tracking is optimized in combination with cross-domain spectrum feature fusion and physical constraint reasoning, model robustness is enhanced by using an adversarial sample, and target tracking accuracy is improved. And high-precision real-time detection and early warning of traffic behaviors in a strong backlight scene are realized.

The invention discloses a scanning type exposure method and system adopting a parallel digital micromirror array, and relates to the technical field of photoetching exposure and maskless direct writing of mask.The scanning type exposure method comprises the steps that parallel digital micromirror initial mapping is established through a reference target exposure detection registration method; generating a block distortion field parameter table according to the initial mapping of the parallel digital micromirror, determining a micro-mark insertion position based on the block distortion field parameter table, and generating an expected coordinate; performing micro-mark exposure on the expected coordinate position, acquiring imaging data of the inserted micro-mark position, extracting an actual measurement coordinate from the imaging data of the micro-mark position, calculating a residual error by taking the expected coordinate and the actual measurement coordinate as an input difference, and writing the residual error into a residual error set; incremental fitting is carried out according to the residual set, the block distortion field parameter table is updated, and the exposure controller controls the parallel digital micromirror array to remap the pattern according to the updated block distortion field parameter table and triggers exposure. The method provided by the invention has better effects in coordinate mapping consistency and block parameter manageability.

The invention relates to the technical field of biomedical engineering. The invention discloses a multi-physiological parameter detection method and device based on an automatic multi-exposure control algorithm, terminal equipment and a storage medium. The accuracy of detecting multiple physiological parameters can be improved. The method comprises the following steps: carrying out video recording processing on a plurality of parts of a target user by adopting a target sensor to obtain an initial video; performing exposure time calculation processing on the initial video by adopting an automatic multi-exposure control algorithm to obtain target exposure time corresponding to each part; when the target sensor continues to carry out video recording processing on the multiple parts, the exposure time of the target sensor is alternately switched according to the time sequence based on all the target exposure time, and images captured by the target sensor after each switching are sequentially integrated to obtain a target video; and performing physiological parameter detection processing on the target video to obtain physiological parameters corresponding to each part.

Provided is an on-board camera system capable of acquiring accurate three-dimensional information and object recognition information without being affected by a vehicle speed. An on-board camera system including a plurality of cameras arranged on an own vehicle so as to have a stereo vision area in which at least a part of a visual field area is overlapped; a movement amount calculation unit that obtains a movement amount of a feature point of the stereo vision area imaged by the plurality of cameras based on a behavior of the own vehicle; a first exposure condition determination unit that determines a first exposure condition of the plurality of cameras such that the movement amount becomes less than or equal to a threshold value; a second exposure condition determination unit that determines a second exposure condition of the plurality of cameras based on an external light condition of a vehicle exterior; a three-dimensional information acquisition unit that acquires three-dimensional information of the stereo vision area using an image imaged under the first exposure condition; an object recognition unit that recognizes an object around the own vehicle using an image imaged under the second exposure condition; and an exposure control unit that switches an exposure condition of each of the plurality of cameras to the first exposure condition or the second exposure condition.

The invention relates to the technical field of exposure control, and discloses an exposure control method, an updating method and device, a controller, a vehicle and a medium, and the exposure control method comprises the steps: carrying out the brightness segmentation of an obtained current image, and determining a plurality of ambient illuminances corresponding to a plurality of brightness intervals one by one; determining an illumination condition scene corresponding to the current image according to the plurality of ambient illuminance; determining a brightness statistical value of the current image according to the illumination condition scene; and determining a next exposure parameter according to the brightness statistical value, the next exposure parameter being an exposure parameter corresponding to the next image. According to the invention, the brightness statistical value is closer to the brightness value of the target concerned by automatic driving, so that the exposure effect is improved.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

Time-of-Flight (ToF) sensors, methods, and non-transitory computer-readable media. In one example of the present disclosure, a ToF sensor includes an array of pixels and processing circuitry. The processing circuitry is configured to generate a plurality of ToF exposure control signals that control at least one pixel of the array of pixels to generate a plurality of ToF pixel signals, generate a plurality of error correcting code (ECC) exposure control signals that control the at least one pixel to generate a plurality of ECC pixel signals, and determine a distance from an object based on the plurality of ToF pixel signals and the plurality of ECC pixel signals.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

A method of controlling an electronic device including a camera is provided. The method includes obtaining an image frame, which is captured at a current frame rate by using an image sensor included in the camera; determining whether the current frame rate is lower than a reference frame rate; based on determining that the current frame rate is lower than the reference frame rate, determining whether a brightness value of the image frame is lower than a reference brightness value; based on determining that the brightness value of the image frame is lower than the reference brightness value, determining whether the camera is in a first state in which the camera is blocked by an obstacle; and based on determining that the camera is in the first state, changing an exposure setting of the camera to first exposure setting.

A technique of camera exposure control for vision-based navigation of an unmanned aerial vehicle (UAV) includes acquiring an aerial image of a ground area below the UAV with an onboard camera system of the UAV, estimating a visual motion factor based on a speed of the UAV and an altitude of the UAV, and adjusting an exposure control setting of the onboard camera system based on the visual motion factor.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

The invention discloses a metal polishing surface quality real-time monitoring system and method based on machine vision, and relates to the technical field of surface detection, and the method comprises the following steps: carrying out grid processing on a metal workpiece surface image collected by a machine vision system, dividing the whole image into a plurality of sub-regions with the same size according to a preset grid rule, and a local area basis is provided for subsequent feature extraction and polishing state analysis. According to the method, the overall polished surface is split into a plurality of local sub-regions through image gridding processing, so that finer optical feature extraction and polishing state recognition are realized, and normal and over-polished regions are accurately distinguished. Exposure parameters are dynamically adjusted according to different area states, local overexposure is inhibited, texture details are recovered, and the defect signal contrast is improved. Finally, according to the scheme, the defect of global exposure control is effectively overcome, high-precision and high-stability real-time monitoring of metal polishing surface defects is achieved, and the consistency and reliability of surface quality detection are improved.

The invention discloses a photoetching machine multi-light-source cooperative high-precision exposure control system, and relates to the technical field of photoetching machine control. Initial energy parameters of all light sources are obtained, a coupling feature set of energy change and light spot morphology change is constructed, and light intensity errors, phase errors and light spot distortion errors are used as input, so that a multi-light-source cooperative high-precision exposure control system is constructed; respectively generating an inter-light-source time sequence offset matrix and a light source energy compensation matrix, constructing a light source collaborative error model through matrix superposition and eigenvalue decomposition, inputting exposure disturbance obtained by real-time monitoring of a photoetching machine into the error model, and obtaining a primary compensation amount; a final target exposure compensation parameter is obtained by adopting a quadratic optimization algorithm under a constraint condition, and light source energy output, a light path phase and a pulse trigger time sequence are cooperatively adjusted according to the target exposure compensation parameter, so that energy deviation, phase drift and time sequence mismatch can be reduced at the same time, the exposure stability and the pattern forming precision are remarkably improved, and the image forming precision is improved. The method is suitable for high-resolution and multi-light-source photoetching equipment.

The invention discloses a six-axis X-ray automobile casting defect three-dimensional reconstruction detection method, relates to the technical field of intelligent manufacturing, and solves the problems of defect misjudgment caused by scattering artifacts in a non-uniform wall thickness or multi-cavity casting and reconstruction distortion caused by asynchronous moving images under high-speed scanning in the existing X-ray detection. According to the scheme, a ray configuration vector based on casting structure attributes is constructed, and is bound to a six-axis trajectory node in a path planning stage; generating an exposure control frame with synchronous postures and carrying out equipment response delay correction; image correction is carried out through a scattering inversion model, spatial offset is corrected through a coordinate mapping function in the back projection process, and meanwhile structural consistency constraint is applied to a reconstructed body; according to the method, the defect identification precision and the three-dimensional reconstruction quality of the casting with the complex structure under high-speed scanning are remarkably improved.

The embodiment of the invention provides an automatic exposure control method and device and electronic equipment, and relates to the technical field of image processing. The method comprises the steps that when it is detected that the shooting environment of a first camera changes, the exposure parameter of the first camera is adjusted according to the first exposure adjustment amplitude, and the exposure parameter of a second camera is adjusted according to the second exposure adjustment amplitude; the second exposure adjustment amplitude is greater than the first exposure adjustment amplitude; when the brightness of a second image acquired by the second camera is in a second target brightness stable interval, determining a first exposure amount required by the first camera according to the brightness of the second image at the current moment and the exposure amount of the second camera; and according to the first exposure quantity, adjusting an exposure parameter of the first camera, so that the brightness of a first image acquired by the first camera is in a first target brightness stable interval. According to the technical scheme provided by the embodiment of the invention, the convergence speed of the exposure parameter of the first camera can be improved.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

In various embodiments, enhancements for low-touch biometric systems include obtaining winnowing information when a biometric probe unsuccessfully matches against a subset gallery. The winnowing information is used to obtain biometric data from an associated group of people and the biometric probe is then compared against the biometric data. If this also fails, identity information may be obtained and used to obtain a corresponding biometric template to match the biometric probe against. In some embodiments, enhancements for low-touch biometric systems determining a dominant by selecting the largest live face in an image then performing one or more actions using the dominant. Such one or more actions may include selecting the dominant for capture, performing exposure control and / or gain control on the dominant as opposed to the rest of an image, determining guidance to provide for biometric capture based at least on a position of the dominant, providing such guidance, etc.