293 results about "Single camera" patented technology

The invention discloses an automatic cattle checking method and system based on two-dimensional panoramic vision, and belongs to the technical field of computer vision and intelligent breeding, and the method comprises the following steps: reasonably arranging a plurality of fixed cameras in a cattle farm area, obtaining the internal reference and distortion coefficient of each camera through employing a camera calibration technology, and obtaining the internal reference and distortion coefficient of each camera; performing real-time distortion correction on the collected video frames; on the basis of side-by-side splicing or homography matrix perspective transformation, all paths of corrected images are fused into a complete two-dimensional panoramic image, and a view blind area of a single camera is eliminated; calling a lightweight target detection model on the panorama, and extracting bounding boxes and confidence coefficients of all cattle at one time; sorting according to the confidence from high to low, performing IOU non-maximum suppression de-duplication on the detection frame, and ensuring that the same cattle only counts once in an overlapping region; and the whole process is completed through the edge computing node. According to the invention, efficient, real-time and accurate on-site cattle checking of a large-scale cattle farm can be realized.

The invention provides a physical driving measurement method for monocular three-dimensional dynamic displacement of a rotary machine, and belongs to the technical field of crossing of computer vision and industrial state monitoring. According to the method, a high-speed dynamic visual acquisition system is constructed, and a time sequence video stream is obtained by using a cooperative marker; constructing a'Gaussian + motion blur 'composite gradient model taking the motion blur width as an endogenous variable, and jointly resolving sub-pixel edge coordinates and ambiguity by adopting a nonlinear optimization algorithm; decoupling the pixel displacement of the radial X axis, the radial Y axis and the axial Z axis by using the width change and the edge displacement of the marker in combination with the geometric principles of sequential robust filtering and monocular imaging; and finally, outputting a three-way physical vibration waveform by using the calibration conversion factor. According to the method, the fuzzy influence is adaptively eliminated from a physical imaging mechanism, micron-level precision three-direction vibration synchronous measurement is realized only by a single camera, and the hardware cost and the deployment difficulty are reduced.

The invention relates to the technical field of image processing, solves the problems that in the prior art, UV flat plate printing needs multiple cameras to cover the whole printing platform, and the precision is not high, and provides a scanning image processing method and device based on a single camera, equipment and a medium. The method comprises the steps that a camera is controlled to scan a calibration graph in the main scanning direction to obtain a first area image, the first area image is analyzed to correct distortion, target images are obtained, then the camera moves in the auxiliary scanning direction and repeatedly scans to obtain a second area image, distortion correction is conducted as well, and overlapped parts of the two target images are compared to obtain a target image. And longitudinal shooting overlapping parameters are calculated, and adjacent target area images are spliced by using the two groups of longitudinal overlapping parameters through a mapping splicing technology. Scanning of the whole printing platform can be completed through a single camera, hardware configuration is simplified, image splicing is carried out after multiple times of scanning and distortion correction, and the overall printing precision is improved.

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

The invention relates to the technical field of image shielding processing, in particular to a target graph shielding processing method and system based on variable-focus wide-view-angle cameras, and the method comprises the steps: deploying a plurality of variable-focus cameras based on seat distribution, constructing a monitoring network, and collecting an initial image; identifying desktop features according to the images, establishing a unified coordinate system and mapping each desktop; when shooting is needed, querying candidate cameras according to the coordinate system, and determining a main camera according to an imaging area and a distance score; and performing quality evaluation on the main shot image, outputting the main shot image if the main shot image reaches the standard, otherwise, triggering a dynamic re-shooting mechanism. According to the invention, through cooperation of multiple cameras and intelligent visual angle selection, the problem that a single camera is easy to block is effectively solved, and automatic and high-quality image acquisition and processing are realized.

Disclosed are embodiments for determining the position and speed of a projectile in three-dimensional world coordinates using a single camera and radar. In some embodiments, a method comprises: determining a zero radial speed time of the projectile based on radar measurements of the projectile; determining a radial speed of the projectile at a particular time based on the radar measurements; determining a radial speed slope at the particular time based on the radial speed measurements; determining a two-dimensional image point of the projectile at the particular time; determining a depth scale coefficient at the particular time based on the zero radial speed time, the radial speed, the radial speed slope, the image point, and a homographic transformation; and determining a position of the projectile in space at the particular time based on a three-dimensional position of the camera, the depth scale coefficient, the image point and the homographic transformation.

The invention relates to the technical field of industrial visual inspection, and discloses an asynchronous exposure double-view-field imaging system and method, and the system can achieve the merging of independent view field images collected by two parallel lenses into a single linear array camera through a reflector and a non-polarization beam splitting cube based on the asynchronous exposure double-view-field imaging system. Meanwhile, in cooperation with precise time sequence control, the system drives two independent stroboscopic light sources to be synchronous with line trigger signals of the camera, different view fields are alternately illuminated in odd-even line periods, the camera is made to perform asynchronous exposure, and two paths of image information are collected in a time-sharing mode; and finally, reconstructing two complete, independent and seamlessly spliced detection images from the interleaved data streams through an odd-even line separation algorithm. According to the invention, with the hardware cost of a single camera, the detection visual field is obviously expanded, the detection efficiency and the image geometric precision under the high-line scanning frequency are ensured, and the excellent balance of the performance, the cost and the efficiency is realized.

The invention relates to the technical field of deformation monitoring, and discloses a large-range deformation measurement method and device based on multi-camera space-time consistency under the complex working condition of AI + vision + IMU fusion. The method comprises the steps of multi-camera data synchronization, IMU data fusion, AI algorithm optimization, space-time consistency calculation and deformation compensation. The method comprises the following steps: enabling multiple cameras to jointly work through a space-time synchronization technology to obtain a multi-view image, recording motion information by using an IMU (Inertial Measurement Unit) to compensate visual errors, fusing and optimizing data by using an AI deep learning model, constructing a measurement model through space-time consistency analysis, and carrying out deformation compensation by combining visual and IMU information. The method avoids the measurement limitation of a single camera, effectively eliminates the measurement error of a complex environment, can achieve high-precision real-time dynamic deformation monitoring in a large range, can be widely applied to the fields of civil engineering, aerospace and the like, and has remarkable innovativeness and application value.

The invention relates to a three-dimensional projection deformation measurement and error compensation method based on a single camera, and the method comprises the steps: collecting a plurality of projection images at multiple moments through a single camera, and recording an image intensity value at each pixel coordinate in each projection image at each moment; inputting the image intensity value into a pre-trained deep learning model, and outputting three-dimensional height prediction of a corresponding pixel coordinate at a corresponding moment; performing correlation search based on the image intensity values of the pixel coordinates in each projection image at the reference moment and the deformation moment to obtain an optimal pixel displacement component; based on the three-dimensional height prediction of each pixel coordinate at the reference moment and the deformation moment, constructing an image surface displacement vector at the deformation moment by using the optimal pixel displacement component, calculating a three-dimensional displacement field at the deformation moment based on the image surface displacement vector at the deformation moment, and then performing three-dimensional strain field calculation; and finally, an efficient and robust closed-loop process is formed through error compensation, and measurement and compensation of three-dimensional deformation in a single-camera scene are realized.

Systems and methods are provided herein for creating interactive 3D content for XR devices using a single camera. This may be accomplished by receiving a first piece of content comprising a plurality of segments, wherein the first piece of content is recorded by a first camera. A system may identify a first object within a first segment of the first piece of content and compare the first object with a plurality of 3D models stored in a database. In response to determining that a first 3D model of the plurality of 3D models corresponds to the first object, the system then generates a second piece of content, by combining the first 3D model with the first piece of content. The system also generates an index associated with the second piece of content.

The invention relates to the field of furniture control, and discloses an intelligent massage armchair control method based on posture recognition, comprising a multi-modal sensing fusion module which collects vision, pressure and millimeter-wave radar data through a sensor, constructs a three-dimensional body contour value of a user, and sends the three-dimensional body contour value to the multi-modal sensing fusion module; data are transmitted to an individual feature recording module based on the collected vision, pressure and millimeter wave radar data; and the individual feature analysis module is used for receiving the information acquired by the multi-modal sensing fusion module, judging the body shape of the user by using a K-means clustering algorithm according to the information, and then selecting a preset scheme according to the body shape information of the user to carry out matching judgment on the sitting posture of the current user. According to the invention, data of the infrared camera, the pressure sensor and the millimeter wave radar are integrated through the multi-modal sensing fusion module, multi-dimensional sensing of a visual contour, pressure distribution and a skeleton structure is realized, and the problem of key feature point extraction deviation caused by body type difference of a single camera is effectively solved.

The invention discloses a tunnel structure detection system and method fusing a laser radar and a rotary scanning camera, and the system employs a layered modular design, and comprises a bottom motion unit, a middle support and energy supply unit, an upper detection and synchronization unit, and a top rotary imaging unit. The synchronous control module of the upper layer detection and synchronization unit coordinates the work of each sensor, controls the self-walking servo motor of the bottom layer motion unit to drive the vehicle body to move at a constant speed, and accurately triggers the rotating motor of the top rotating imaging unit to drive the double mirror surfaces to rotate, thereby achieving the 360-degree high-definition imaging of a single camera. The laser radar scanning of the upper detection and synchronization unit is synchronously controlled, and a high-precision crystal oscillator is utilized to simulate GNSS second pulse time service, so that millisecond-level hard synchronization of multi-source data is realized; through high-precision matching fusion of three-dimensional laser point cloud data and image data, integrated high-precision detection of tunnel structure deformation and apparent diseases is completed, and full automation from data acquisition, synchronous fusion to disease identification is realized.

The invention discloses a multi-target tracking method for transformer substation cross-monitoring areas, and relates to the technical field of computer vision and video monitoring. Target detection is carried out on video streams of all cameras through an improved YOLOv8 model; a global attention mechanism and a multi-level feature pyramid are introduced to enhance the detection capability of sheltered and small targets, a detection result is input into an improved DANN model to extract appearance features with domain invariance, and a local motion track and a local identity label of a target are generated in a single camera through cross-frame association. And establishing a global feature pool by taking the main camera as a reference, and distributing global identity labels for targets in the secondary cameras by calculating appearance feature similarity to complete identity unification. And on the basis of the global identity identifier, the local motion trails of the cameras are fused to generate the global motion trail of the same target in the transformer substation area, so that the multi-target tracking precision of the transformer substation in the cross-monitoring-area scene is improved.

The invention provides a multi-mode visual touch fusion sensor of a non-coaxial light path, which realizes multi-mode cooperation of a visual mode and a visual touch mode by performing non-coaxial arrangement on the optical axis of a camera and the central normal of a touch plane on a structural level; a virtual binocular system is constructed under the condition of a single camera by means of a free-form surface light splitting biprism, the number of devices and the assembling freedom degree are reduced, and therefore the integration degree and calibration consistency are improved; a semi-transparent and semi-reflective optical element is matched with an LED light-emitting unit time sequence and a control circuit to realize automatic and rapid mode switching, so that the long-term reliability is improved, and the switching service life is prolonged; through the collaborative design of the self-assembled metal nano reflective coating and the thin polyurethane packaging layer, a high-contrast and wear-resistant deformation image is obtained on the premise of not sacrificing the tactile sensitivity, and finally continuous acquisition of a target pose and contact parameters is realized. And the comprehensive requirements of accurate grabbing and touch closed-loop control on stable imaging, rapid switching, easy integration and high reliability are met.

The invention relates to a laser communication terminal coarse tracking control system, and relates to the technical field of laser communication, the system comprises a turntable module and a data control processing module, the turntable module comprises an azimuth angle turntable and a pitch angle turntable, the pitch angle turntable is provided with a mounting rack through a connecting piece, and the upper end of the mounting rack is provided with a coarse tracking camera; the mounting frame is used for capturing the target light spot position and transmitting the target light spot position to the data processing control module, a support is fixedly arranged on one side of the upper end of the mounting frame, and an infrared camera is fixedly arranged at one end of the support. According to the application, the coarse tracking camera is arranged, the infrared camera is arranged at the upper end of the mounting frame, and the infrared camera can filter ambient visible light clutters due to high penetrability of infrared light to a target light source, so that a clear light spot image is generated, and the problem that a traditional single camera cannot be used in a complex light environment is solved. And furthermore, the success rate of target light source capturing is improved.

A method trains machine learning models for filmmaking by varying a single camera parameter, capturing shots, and processing these to adjust the Al model. A system includes processors and memory to perform single-parameter variation, capture and process shots, and enhance Al model understanding. A non-transitory computer-readable medium has instructions for configuring a multi-camera environment, varying a camera parameter, and processing shots to improve an Al model.

The invention discloses a multi-modal visual language navigation method based on a dynamic environment knowledge graph and related equipment, and can be applied to the technical field of artificial intelligence. After the real-time environment image of the area to which the target robot belongs is captured through the single camera, feature extraction is carried out on the real-time environment image to obtain the image features, the to-be-processed category corresponding to the target object is coded to obtain the semantic code, and after the spatial features of the target object are extracted, the target robot is obtained. Constructing a dynamic environment knowledge graph according to the confidence, semantic coding and spatial features of the target object in combination with an external knowledge base, extracting high-dimensional graph features of the dynamic environment knowledge graph, and performing implicit fusion and display modeling in combination with image features and language features corresponding to the target instruction to obtain a navigation state vector containing long-term memory; therefore, the moving operation of the target robot can be controlled based on the navigation state vector, efficient and explainable navigation reasoning is further realized, and the language navigation accuracy is improved at relatively low cost.

The present disclosure relates to an apparatus and method for estimating a distance to an object. More particularly, the apparatus includes a camera for capturing surrounding images, a LiDAR for generating a projection image by analyzing surrounding three-dimensional spatial positions, an object detection model for detecting objects in the images, a depth estimation model for estimating distances to the objects, a training unit for training the object detection model and the depth estimation model, and an estimation unit for detecting the objects in the images and estimating the distances to the objects using the object detection model and the depth estimation model. The apparatus and method may detect objects and estimate distances to the objects by using only a single camera image.

The utility model discloses a watch structure capable of realizing multidirectional shooting. The watch structure comprises a watch body, a rotating device and a locking mechanism, a camera is arranged on the watch body, the rotating device is rotationally connected with the watch body through a rotating shaft, and a reflective mirror is embedded in the rotating device; the locking mechanism comprises a slidable positioning pin in the meter body, a positioning hole in the rotating device and an elastic piece for providing elastic force; and by pressing an unlocking button connected with the positioning pin, the rotating device can be unfolded under the action of the torsion spring. The reflective mirror structure is matched with the locking mechanism, multi-angle shooting of a single camera is achieved, and the structure is simple and stable.

The invention discloses a modular splicing imaging device and an image splicing method, and belongs to the technical field of camera splicing imaging. The device comprises a single-lens imaging module and an image processing box module, and the single-lens imaging module and the image processing box module are flexibly configured, freely combined and rapidly adjusted into an adaptive imaging layout, so that splicing devices of different view fields are constructed, and different use requirements are met. The device has strong expansion capability, can realize multi-layer splicing and multi-view-field splicing, and can enlarge an imaging coverage area in a vertical direction or obtain picture information of different imaging systems in a unified coverage area through multi-layer splicing; the image information can be collected in all directions and at multiple angles through multi-view-field splicing, a panoramic picture with an ultra-large view field and high resolution is formed, the requirement for fine monitoring and observation of a wide area is met, and the application boundary of the device is greatly expanded.

This invention discloses a method and device for assisting epidemiological investigation based on machine vision and deep learning. The method includes acquiring the target to be tracked, single-lens target tracking, mask detection and classification and storage of at-risk individuals, cross-lens target re-identification, and target trajectory mapping. It innovatively applies pedestrian re-identification technology to epidemiological investigation and tracing, automatically generating trajectories and close contacts, significantly reducing manual labor while improving the accuracy and timeliness of the investigation. Furthermore, this system has no hardware requirements and can be directly integrated into existing monitoring systems, allowing for remote maintenance and easy upgrades. Overall, this software outperforms existing epidemiological investigation methods and has advantages such as strong versatility, wide applicability, and ease of use.

This invention discloses a laser image signal-to-noise ratio (SNR) enhancement method based on single-camera dual-channel imaging, relating to the fields of optical microscopy, digital image processing, and machine learning. The method includes: acquiring the original image from a single camera; separating the original image into a green channel image and a red channel image; constructing a denoising model based on the linear relationship between the green and red channel images, using the minimization of background noise in the green channel image as the objective loss function of the denoising model, and solving for an optimized parameter set; processing the green and red channel images according to the optimized parameter set to obtain a high SNR laser image after removing fluorescence background noise. This invention can remove fluorescence background noise from the original image acquired by a single camera without increasing hardware costs, effectively eliminating spectral crosstalk in the laser channel and significantly improving the laser image signal-to-noise ratio.

The invention discloses a false target filtering method, device and equipment and a readable storage medium, and is applied to the technical field of computers, and the method comprises the steps: obtaining the target information of a target through a single camera of a vehicle; the target information comprises the longitudinal distance between the vehicle and the target, the duration of continuous appearance of the target and the variation amplitude of the target; if it is determined that the target meets the false target judgment condition according to the target information, whether the target is a false target or not is determined according to the actual vehicle speed and the virtual vehicle speed of the vehicle; and if the target is a false target, filtering the target. According to the method, the virtuality and reality of the target are determined through multi-dimensional target information collection, multi-dimensional preliminary screening and dynamic verification of the actual vehicle speed and the virtual vehicle speed of the vehicle. By means of physical rule constraints, high-precision false target filtering is achieved under low-cost single-camera configuration, and reliable technical support is provided for an environment sensing module of an automatic driving system.

1. The name of the design product: single-lens multifunctional identification chip. 2. The use of the design product: biometric identification and cat eye visibility, monitoring function. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses an implementation method of a large-scale phased array simulation instrument, which comprises the step of designing a signal processing module to be matched with a 10-gigabit network interface for use, so that a single camera-controlled simulation instrument realizes the simulation of thousands of array scales on the premise of 64 physical ports. Through an innovative signal processing architecture and a high-speed data interface technology, the bottleneck that a traditional phased array simulation instrument depends on hardware stacking is successfully broken through. Compared with a traditional method that a large-scale array can be simulated only by adding physical ports or complex cascading of multiple devices, the method has the advantages that the leap of efficiently simulating thousands of array element scales through a single integrated device is achieved, the hardware cost of system construction is greatly reduced, the system topological structure is fundamentally simplified, and the system performance is improved. The problems of complex wiring and synchronization are avoided, so that an efficient and flexible solution is provided for large-scale array simulation required by the frontier technical fields of satellite communication, communication and inductance integration and the like with higher cost performance and reliability.

The application discloses a kind of implementation methods of large-scale phased array simulation instrument, including by designing signal processing module and gigabit network interface cooperation use, make single camera control simulation instrument gauge realize the simulation of thousands of array scale under the premise of 64 physical ports.The application breaks through the bottleneck of traditional phased array simulation instrument relying on hardware stacking by innovative signal processing architecture and high-speed data interface technology.Compared with the scheme that traditional method needs to simulate large-scale array by increasing physical port or complex cascade of multiple devices, the application realizes the leap of efficiently simulating thousands of array elements scale with single integrated device, which not only greatly reduces the hardware cost of system construction, but also fundamentally simplifies the system topology, avoids complex wiring and synchronization problems, thereby providing an efficient and flexible solution for large-scale array simulation required by satellite communication, sensing integration and other frontier technical fields with higher cost performance and reliability.

The utility model discloses a kind of multi-shaft linkage type precision control medical endoscope equipment, including mounting sleeve, four support columns are installed on the mounting sleeve upper end, four the camera group is installed in support column top, rotating shooting structure is installed between the camera group with the mounting sleeve;The utility model relates to endoscope technical field, the rotating shooting structure used in the case, on the basis of original single camera group, two rotatable mobile cameras are added, two mobile cameras have independent rotating adjustment function, so that it can be flexibly adjusted according to different shooting requirements, to adapt to different shooting visual angle and coverage, mobile camera and camera group cooperate and work, jointly complete shooting task, to greatly improve the coverage area of shooting, compared with the design of traditional single camera, can more comprehensively capture picture, avoid the problem of shooting dead angle caused by angle limitation of single camera.

The application discloses a kind of real-time multi-camera multi-projector 3D imaging processing method and device, it is related to three-dimensional imaging technical field, the method includes building multi-camera multi-projector three-dimensional measurement platform;Camera and projector in single camera single projector measurement system are calibrated;Based on the internal parameter and distortion coefficient of all cameras obtained by calibration, with any camera coordinate system as reference coordinate system, the initial estimate of the position conversion matrix of other cameras to reference coordinate system is obtained;Reconstruction standard piece is reconstructed;Based on reference coordinate system, the overall calibration of multi-camera multi-projector three-dimensional measurement platform is completed, the object to be measured is placed in the reconstruction range, the world coordinate system is established on the reference camera coordinate system, and the multi-view fusion point cloud of the object to be measured is obtained according to the position conversion matrix between cameras.The application does not need to increase the number of cameras to realize the optimization of system overall calibration parameters, and the overall structure is simple and has strong maintainability.

The utility model discloses a kind of single camera double visual field adjustable optical path's laser imaging device, the device includes imaging module, light splitting module, optical path adjusting module and shell, imaging module, light splitting module and optical path adjusting module are all connected in shell, and light splitting module and imaging module are sequentially arranged along laser input direction, optical path adjusting module is arranged below imaging module;Light splitting module is used to divide laser into first light beam and second light beam, and first light beam is transmitted to imaging module, and second light beam is transmitted to optical path adjusting module;Optical path adjusting module is used to adjust the optical path of second light beam, and second light beam is transmitted back to light splitting module, and is transmitted to imaging module by light splitting module;Imaging module is used to synchronously scan measurement to first light beam and second light beam.The utility model's light splitting module divides laser into first, second light beam, imaging module simultaneously measures first light beam and second light beam, realizes laser far field synchronous detection, improves measurement efficiency and synchronism.

The application discloses an intelligent high-saturation snapshot method and system based on motion sensing and adaptive white balance delay, and belongs to the field of intelligent terminal image processing. The method is applied to an intelligent terminal comprising an inertial motion sensing module, an ambient light sensing module, a camera acquisition module and an end-side processing unit. Data is collected by the inertial motion sensing module, combined with dynamic threshold, trajectory continuity verification and false touch prevention condition identification effective swing. Based on ambient light data, a continuous mapping model is used to calculate the white balance delay time. Frame-level synchronous trigger shutter is adopted to collect images by using single camera continuous frames or double camera synchronous frames. After motion blur compensation and dynamic saturation enhancement, high-saturation clear images are output, and the output image metadata contains a special identification field. The application breaks through the industry technical prejudice, reduces the false trigger rate to below 0.5%, and improves the image forming rate to above 95%. Without adding new hardware, the application can be widely adapted to various intelligent terminals, solves the industry pain points of high false trigger, uncontrollable best imaging opportunity and swing blur of traditional snapshots, and reduces the difficulty of infringement and right protection evidence.