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184 results about "Visual processing" patented technology

Visual processing is a term that is used to refer to the brain's ability to use and interpret visual information from the world around us. The process of converting light energy into a meaningful image is a complex process that is facilitated by numerous brain structures and higher level cognitive processes. On an anatomical level, light energy first enters the eye through the cornea, where the light is bent. After passing through the cornea, light passes through the pupil and then lens of the eye, where it is bent to a greater degree and focused upon the retina. The retina is where a group of light-sensing cells, called photoreceptors are located. There are two types of photoreceptors: rods and cones. Rods are sensitive to dim light and cones are better able to transduce bright light. Photoreceptors connect to bipolar cells, which induce action potentials in retinal ganglion cells. These retinal ganglion cells form a bundle at the optic disc, which is a part of the optic nerve. The two optic nerves from each eye meet at the optic chiasm, where nerve fibers from each nasal retina cross which results in the right half of each eye's visual field being represented in the left hemisphere and the left half of each eye's visual fields being represented in the right hemisphere. The optic tract then diverges into two visual pathways, the geniculostriate pathway and the tectopulvinar pathway, which send visual information to the visual cortex of the occipital lobe for higher level processing (Whishaw and Kolb, 2015).

Visual classification processing method and device based on large model and multi-modal data fusion

The invention relates to the field of visual processing, and provides a visual classification processing method and device based on large model and multi-modal data fusion. The method comprises the following steps: inputting a to-be-classified input image and a corresponding category text description into a text encoder for multi-level feature extraction to obtain global text features and local text features; performing fine-grained cross-modal alignment on the local visual features and the local text features, calculating association weights between the image regions and the text phrases through a bidirectional cross attention mechanism, and generating aligned intermediate features; splicing and fusing the aligned middle features and the global visual features, and inhibiting background noise in a fusion result and reinforcing discriminative features in the fusion result through a feature mask algorithm in combination with the global text features to obtain multi-modal fusion features; and synchronously inputting the multi-modal fusion features into a multi-space classifier to generate respective classification results, and adaptively outputting an image classification result according to a confidence threshold in combination with a dynamic routing mechanism.
Owner:SUZHOU YINPO TECHNOLOGY DEVELOPMENT CO LTD

Sweeping disc posture self-adaptive adjusting system and method based on visual system and storage medium

The invention discloses a disk sweeping posture self-adaptive adjusting system and method based on a visual system and a storage medium. The disk sweeping posture self-adaptive adjusting method comprises the steps that S1, disk sweeping posture information is obtained; s2, the visual processing unit collects disk scanning attitude information and road surface information in real time by using a visual sensor arranged on the visual processing unit, and provides real-time disk scanning attitude data for the control system; s3, the control system receives the current disk scanning attitude data, calculates the deviation between the current disk scanning attitude data and the preset optimal disk scanning attitude data according to an intelligent algorithm, and issues a deviation correction instruction; s4, the multi-degree-of-freedom disk sweeping posture adjusting device adjusts the disk sweeping posture according to the deviation rectifying instruction; and S5, the control system judges whether the disk sweeping brush reaches the optimal posture according to the received disk sweeping posture real-time information, if not, the deviation is continuously calculated, a deviation correction instruction is issued, and if yes, deviation correction adjustment is ended. The sweeping postures of the sweeping disc are adjusted according to the road surface state and the sweeping abrasion degree, and the sweeping effect is improved.
Owner:COWA TECHNOLOGY CO LTD +1

Building carbon footprint quantification method and system based on BIM

The invention provides a BIM-based building carbon footprint quantification method and system, and the method comprises the steps: carrying out the coupling of the purchase management data of each building stage, the engineering management data of each building stage and the BIM data in a BIM model of a to-be-monitored building, and generating an engineering quantity list of each building stage; intelligently matching the engineering quantity list with a preset life cycle factor library to generate a carbon footprint list of each building stage; performing analysis based on the carbon footprint list, and generating carbon footprint analysis results of the building to be monitored in each building stage; and based on a carbon footprint analysis result, performing visualization processing, and displaying a visualization processing result in the BIM model. Therefore, the data collection efficiency and accuracy are improved, the carbon emission of the whole life cycle of the building can be subjected to refined and dynamic management, the influence of each stage and each factor of the building on the carbon emission can be comprehensively and accurately considered, and the low carbon of the whole life cycle of building design, purchase, construction and the like can be promoted.
Owner:LONGYUAN (BEIJING) CARBON ASSET MANAGEMENT TECH CO LTD

Real-time people stream visualization system based on optical flow method and stereoscopic vision technology

The invention discloses a real-time people stream visualization system based on an optical flow method and a stereoscopic vision technology. The system comprises the following functional units: a visual data acquisition unit for collecting visual data from an environment with dense people streams; the optical flow analysis and processing unit is used for carrying out motion state analysis and motion vector calculation on the key feature points of the human body; the stereoscopic vision processing unit is used for accurately predicting a target motion path; the data fusion and analysis unit is used for identifying advanced behaviors of individual movement; and the user interaction and visualization unit is used for displaying the comprehensive data obtained from the data fusion and analysis unit. The problems of insufficient positioning precision, poor real-time performance and limited data visualization capability in the existing people flow monitoring technology are solved. The system is designed to be used in crowded environments such as shopping malls, stations, public activity areas and the like, and aims to provide an accurate, real-time and multi-dimensional crowd monitoring and management tool for managers, operators and common customers.
Owner:NANJING COLLEGE OF INFORMATION TECH

Method for obtaining hydrogen solubility in slag through molecular dynamics simulation

The invention discloses a method for obtaining hydrogen solubility in slag based on microstructure analysis, and belongs to the field of high-temperature melt physical property characterization. The method comprises the following steps: determining initial components of a simulation system; establishing an initial structure model of the water molecule-containing slag system; determining a potential function for describing the simulation system; simulation calculation parameters are set, LAMMPS software is operated for simulation calculation, and simulation result data such as an atomic coordinate file and free energy of a simulation system are obtained; the atomic coordinate file is imported into visual software for statistical analysis and visual processing, and microstructure information of the slag is obtained; and calculating the hydrogen solubility of the slag according to simulation result data such as free energy. According to the method, the microstructure information of the atomic scale of the slag and the hydrogen solubility of the slag are calculated by adopting a molecular dynamics simulation method, so that the blank of experimental data can be filled, theoretical guidance is provided for controlling the hydrogen content of the slag, and a theoretical foundation is laid for controlling the hydrogen content of the molten steel.
Owner:NORTHEASTERN UNIV CHINA

Road infrastructure abnormity identification method based on vision and AI intelligent agent

The invention discloses a road infrastructure anomaly recognition method based on vision and an AI agent. The method comprises the steps that a multi-agent cooperation framework with a task coordination agent as a core is constructed; a data input agent receives and preprocesses multiple paths of video streams; the visual processing agent fuses a visual model and a language model through a cross attention mechanism to realize deep fusion of image-text features; the knowledge base intelligent agent constructs a dynamic JSON Schema structured template based on a Neo4j graph database; and the data output agent calls the large language model to carry out data enhancement and structured processing, and the data is stored in a database after validity is verified by the knowledge graph. According to the method, through multi-agent cooperation, cross-modal feature fusion and a dynamic template technology, the problems of feature splitting, template stiffness and low calculation efficiency in a traditional scheme are solved, and the efficiency of road anomaly recognition is improved.
Owner:SOUTH CHINA UNIV OF TECH

Method for extracting and identifying rail-mounted area in complex turnout area based on image identification

The invention belongs to the technical field of smart urban rails and computer vision, and particularly provides an image recognition-based method for extracting and recognizing a rail-mounted area in a complex turnout area, and the method comprises the steps: processing an input image through an instance segmentation model to obtain an n-dimensional matrix mask; processing the matrix mask through a rail-mounted area processing module to obtain a matrix mask MaskRe; analyzing the number of rail-mounted areas of MaskRe, and intercepting a turnout area image through a turnout area image acquisition module; obtaining the positioning and reversing states of the turnout, namely the travel path direction of the train, through the target positioning model, so as to obtain the unique rail travel area of the train; and carrying out visualization processing, and outputting an RGB image result. According to the method, the scene image of the complex turnout area is processed through the instance segmentation model, the switch tip state is positioned and identified through the target positioning model, and the current running rail running area of the train in the complex turnout area image obtained at different scenes and shooting angles can be accurately identified and extracted.
Owner:TONGJI UNIV

Online monitoring system and method for ultrafast laser processing of micropores

The invention discloses an online monitoring system and method for ultrafast laser processing of micropores. The online monitoring system comprises a visual monitoring unit, a sound wave monitoring unit and a judgment control module which are arranged in an ultrafast laser processing unit. The visual monitoring unit is used for obtaining a visual monitoring result and comprises a visual acquisition unit and a visual processing unit; the sound wave monitoring unit is used for obtaining a sound wave monitoring result and comprises a sound wave acquisition unit and a sound wave processing unit; and the judgment control module is used for comprehensively judging the visual monitoring result and the sound wave monitoring result so as to control the ultrafast laser processing unit. According to the technical scheme, online sound-vision composite monitoring can be carried out on the process of ultrafast laser micro-hole machining, and therefore the micro-hole machining efficiency and the penetration rate are improved.
Owner:HUAZHONG UNIV OF SCI & TECH

Visual quantitative measurement and analysis device and method for detecting surface discharge degree of insulating material

The invention discloses a visual quantitative measurement and analysis device and method for detecting the surface discharge degree of an insulating material, and relates to the field of visual quantitative detection of the surface discharge degree of the insulating material. By constructing an electrostatic discharge system, the pulse discharge process of the insulating surface under the actual operation condition is simulated, and then the surface of the insulating material is induced to discharge. A visual processing device is built, through the polarization effect between dust and charges, the surface charge distribution condition is rapidly reproduced through the dust, and equipment recording is shot. A gray-scale map working principle is applied, a gray-scale conversion and binarization processing program is written, the program is started to convert a recorded picture into a binary image only containing black and white pixel points, the number of the pixel points is counted, and the charge distribution density in an effective discharge radius is calculated through formula conversion, so that the electrostatic discharge degree is quantitatively represented. By changing environmental conditions such as humidity and air pressure, service life state evaluation of the insulation equipment and insulation detection and structure optimization work of the novel insulation equipment in a complex environment are researched.
Owner:SUQIAN POWER SUPPLY COMPANY OF JIANGSU PROVINCE POWER +1

Checkerboard calibration board angular point screening method, device and equipment and storage medium

The invention discloses a checkerboard calibration board angular point screening method, device and equipment and a storage medium, and relates to the technical field of visual processing. The method comprises the following steps: acquiring all angular points of a calibration board on a checkerboard to be detected by using an angular point detection algorithm, and constructing a first angular point set; performing feature analysis on each angular point in the first angular point set, comparing the feature value of each angular point with a first preset threshold value, and reserving the angular points within the range of the first preset threshold value to construct a second angular point set; screening out calibration target areas of black checks on the checkerboard calibration plate; constructing a circumscribed polygon surrounding the calibration target area; and judging whether the angular points in the second angular point set are located inside the circumscribed polygon, and reserving the angular points located inside the circumscribed polygon to construct an effective calibration point set. By screening out the effective area of the calibration plate, the calibration point is only located on the checkerboard, and angular points on a non-checkerboard calibration plate are avoided, so that the robustness of checkerboard calibration is improved.
Owner:SHENZHEN ZMOTION TECH CO LTD

Target control method and device based on multi-modal information, equipment and medium

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as mechanical arm grabbing, financial science and technology and medical health, and discloses a target control method, device and equipment based on multi-modal information and a medium, and the method comprises the steps that a language instruction expressing an operation intention is obtained, and visual information of the environment where a target object is located is collected; semantic representation is generated through the language processing module, and visual features are generated through the visual processing module; inputting the visual features and the semantic representations into an action generation module to generate an action sequence; and a joint angle sequence and a joint angle value are determined based on the action sequence, and the mechanical arm is controlled to execute grabbing operation. According to the method, the accurate grabbing action sequence is generated by fusing language and visual information, the movement of the mechanical arm is controlled by combining the joint angle sequence and the accurate joint angle value, and smooth track movement and accurate grabbing are achieved. The adaptive capacity and the industrial-grade grabbing precision in the complex environment are improved, and the production efficiency and the grabbing success rate are effectively improved.
Owner:PING AN TECH (SHENZHEN) CO LTD

Automatic saddle welding device based on visual processing and using method thereof

The invention discloses an automatic saddle welding device based on visual processing and a using method thereof, and relates to the field of saddle welding.The device comprises a conveyor, a clamping mechanism, a lifting mechanism, an electric rotating disc, a welding mechanical arm and a visual positioning device.A supporting table at the top of a base can move along a guide rail D and is matched with production line procedure arrangement; the clamping mechanism drives clamping plates to move oppositely through a screw A, flexible clamping is achieved in combination with a spring, workpiece damage is avoided, and the posture stability is guaranteed. The core logic of clamping first and then positioning is adopted, the visual positioning device accurately extracts welding seam feature point coordinates through a two-dimensional image acquisition module, a three-dimensional contour acquisition module and a light supplementing adjusting module, and the welding seam feature point coordinates are accurately obtained; positioning data are provided for a welding mechanical arm, the problem of welding deviation caused by workpiece transfer displacement, clamping posture adjustment and coordinate system difference in the prior art is effectively solved, and the defects of weld joint deviation, incomplete penetration and the like are overcome.
Owner:NANJING XUNSI INTELLIGENT MANUFACTURING TECHNOLOGY CO LTD

Power transmission pole foundation pit scanning sonar detection device, system and method based on unmanned aerial vehicle

The invention discloses a power transmission pole foundation pit scanning sonar detection device, system and method based on an unmanned aerial vehicle, and the method comprises the steps: receiving a detection task instruction inputted by terminal equipment, carrying out the initialization and path planning according to the received detection task instruction, and carrying out the calibration; setting an automatic program; generating a defect identification result and an execution signal; performing visualization processing on the acquisition process and the execution process to generate a detection report and a defect distribution diagram; and carrying out quality analysis and classification processing. In the implementation process of the technical scheme, the detection task instruction is input through the terminal equipment, accurate positioning and automatic detection of the power transmission pole foundation pit are achieved, the execution signal is generated according to the defect recognition result, the unmanned aerial vehicle automatically executes the corresponding defect processing operation, and therefore the efficiency and accuracy of foundation pit detection are improved; and meanwhile, the collected data is visually displayed through the visual processing module, and a visual detection report and a defect distribution diagram are generated.
Owner:JINHUA BADA GRP CO LTD

Paper tray production quality detection method and system based on visual processing

The invention discloses a paper tray production quality detection method and system based on visual processing, and belongs to the technical field of quality detection, and the method comprises the steps: collecting image and motion data, carrying out the alignment according to a time sequence, carrying out the risk classification, marking a high-risk region, and constructing a stress prediction distribution diagram. Calculating an angle residual error according to an existing image and a stress prediction distribution diagram, calculating the angle residual error diagram to obtain a regional average residual error value, taking the regional average residual error value as a weighting coefficient and a deviation distribution index to generate speed and angular speed regulation factors, and finally generating a mold execution instruction of the next period based on an adjustment strategy. According to the detection method, process modeling and structure perception are combined, the defects of a traditional paper support defect detection means based on a static image in the aspects of time hysteresis, structure invisibility, control inaccessibility and the like are effectively overcome, and the intelligent level and the detection coverage rate of paper support quality detection are remarkably improved.
Owner:QINGYUAN KEDING ELECTRICAL EQUIP CO LTD +2

Novel reading disorder assessment and intelligent correction method based on EOG

The invention relates to a novel reading disorder assessment and intelligent correction method based on EOG. The novel reading disorder assessment and intelligent correction method comprises the following steps: S1, respectively collecting eye movement signal data of a reading disorder child and a normal reading child in a reading process by adopting eye movement collection equipment; s2, filtering the original signal to generate an eye movement diagram, and analyzing transverse and longitudinal movement tracks and directions of eyes; s3, comparing the eye movement images of the reading disorder children and the normal children, and extracting key eye movement characteristic parameters of the reading disorder children and the normal children; s4, analyzing eye movement abnormal characteristics of frequent review of the individual; and S5, assessing the reading disorder through the reading behavior, and assessing the understanding degree of the text segment by using the text-related picture. The intelligent correction module is started to improve the reading effect. According to the method, the motion state of eyeballs, individual attention, visual processing speed, cognitive load and the like are reflected through the change of the electro-oculogram potential, a non-intrusive, real-time and quantitative evaluation and correction scheme is provided, and the evaluation and correction effect of the reading disorder can be remarkably improved.
Owner:ZHEJIANG MEDICAL COLLEGE

Eagle eye bionic dynamic visual sensor and preparation method and application thereof

The invention belongs to the related technical field of neuromorphic visual sensors, and discloses an eagle-eye bionic dynamic visual sensor and a preparation method and application thereof, the visual sensor comprises a dielectric layer substrate, a functional layer and a cross array structure composed of a bottom electrode, an insulating layer and a top electrode which are arranged from bottom to top; wherein the functional layer is of a core-shell heterojunction structure formed by noble metal nanoparticles and a two-dimensional metal chalcogenide. According to the obtained core-shell heterojunction structure, an electron capture and slow release phenomenon caused by local surface plasmon resonance effect excitation and interface defects of precious metal nanoparticles is constructed on a device, and the sensor can realize an eagle-eye-imitating dynamic visual function; and the visual sensor can perform eagle-eye-imitating dynamic visual processing on image information due to a unique electronic synapse function while realizing an image optical sensing function, so that integration of sensing and preprocessing functions is realized.
Owner:HUAZHONG UNIV OF SCI & TECH

Visual processing device for audio and video data

An audio and video data visualization processing device disclosed by the present invention comprises a lifting support, a display, a processing box and a plurality of cables, the display is arranged at the top of the lifting support, the back surface of the display is connected with the processing box, and the bottom of the processing box is provided with an insertion panel. The plug-in panel is provided with a branching ball and a plurality of jack seats arranged around the branching ball, the branching ball is used for separating a plurality of cables, the plug-in panel is provided with a guide cable locking device located at one side of the jack seats, the guide cable locking device comprises a cable clamping sleeve, a support, and a power-assisted plug-in mechanism and a trigger shaft which are arranged on the support. According to the invention, through the arrangement of the guide wire locking device composed of the wire clamping sleeve, the support, the power-assisted plugging mechanism and the trigger shaft, various cables can be locked after being plugged into corresponding jacks in the plugging panel, that is to say, when the position of the display is adjusted, a pulling phenomenon is generated on the various cables, so that a cable joint and the plugging panel cannot be loosened or even separated; and the transmission of audio and video data is more reliable.
Owner:CHINA YANGTZE POWER

Super-resolution image real-time processing method and device fusing attention mechanism

The invention relates to the field of visual processing, and provides a super-resolution image real-time processing method and device fusing an attention mechanism. The method comprises the following steps: acquiring a to-be-processed low-resolution image; performing initial feature coding on the low-resolution image to obtain a shallow feature map; performing adaptive modeling on the feature contribution degree of each spatial position and each feature channel in the shallow feature map in combination with a mixed attention mechanism, and generating an attention-enhanced depth feature map; converting a feature map channel number of the depth feature map into a spatial resolution, converting image feature information in the depth feature map according to a feature contribution degree and re-projecting the image feature information to a target image space corresponding to the spatial resolution, and generating a high-resolution feature map corresponding to a target magnification in the target image space through a pixel rearrangement mode; and reconstructing the high-resolution feature map into a target high-resolution image. Efficient real-time processing of the super-resolution image is achieved, and the image reconstruction definition and the detail reduction degree are improved.
Owner:SUZHOU YINPO TECHNOLOGY DEVELOPMENT CO LTD

Underwater robot deep learning adaptive data processing method and system

The invention discloses an underwater robot deep learning adaptive data processing method and system, and relates to the technical field of deep learning. Sonar data, a visual image and a robot motion state of an underwater environment are collected; enhancing the definition of a visual image by using a convolutional neural network, marking autonomous moving elements, and constructing a two-dimensional coordinate system to complete preliminary positioning; the element depth is calculated based on the pixel value and the time delay of the sonar data, and the two-dimensional coordinates are fused to construct a three-dimensional coordinate system; and unifying the track in the three-dimensional space, calculating the distance between the elements and the robot, and planning the moving route and speed. The system comprises a data acquisition module, a visual processing module, an acoustic fusion module and a path planning module, and realizes multi-source data integration, three-dimensional positioning and path planning. Through visual and acoustic data fusion and a deep learning model, the underwater environment stereoscopic perception precision and the path planning efficiency are improved, and the adaptability and the operation safety of the underwater robot in a complex water area are enhanced.
Owner:CHANGZHOU ZHIGAN TECH CO LTD

Traffic condition prediction method and device and computer program product

The embodiment of the invention discloses a traffic condition prediction method and device and a computer program product. According to the main technical scheme, the method comprises the steps of obtaining trajectory data of vehicles in a target area; performing visualization processing on the trajectory data to obtain visual data; the traffic condition of the target area can be obtained by further combining effective traffic information extracted from at least one of traffic intelligence data, user report data and environmental data based on visual data by utilizing a visual language model. The traffic condition comprises at least one of the congestion degree, the occurrence position of the traffic event, the occurrence reason and the congestion trend information. According to the mode, the comprehensive and accurate traffic condition of the target area can be obtained by utilizing the visual language model based on the visual data.
Owner:BEIJING AUTONAVI YUNMAP TECH CO LTD

Power consumption management method and system for electric energy metering box

The invention relates to the technical field of electric energy metering, and discloses a power consumption management method and system of an electric energy metering box. The method comprises the following steps: acquiring an original electric signal containing a plurality of electric parameters, and generating a steady-state and transient-state data block through filtering noise reduction, variable-point detection and time domain segmentation processing; based on the data block, obtaining a standardized feature vector through feature extraction, feature sorting and normalization processing; carrying out load identification and time alignment on the feature vector by utilizing transfer learning and confidence judgment, and generating a load type identifier with a timestamp; the load access time is further analyzed and standardized, and structured intermediate data is generated through space-time alignment and data fusion; and finally, a power consumption management report is formed through visualization processing. According to the invention, the precision and reliability of non-intrusive load monitoring can be effectively improved, fine-grained and automatic analysis and visual feedback of power consumption behaviors of users are realized, and the method has the beneficial effects of high data processing efficiency, high identification accuracy and visual and convenient management.
Owner:BAODING XINDI ELECTRIC TECH CO LTD

Coding-based equipment full life cycle management method and system

The invention is suitable for the technical field of equipment management, and provides a coding-based equipment full life cycle management method and system, and the method comprises the steps: obtaining equipment information, and obtaining an equipment identification technology; acquiring scene information according to the equipment information, selecting an equipment identifier according to the scene information, uploading data to the equipment identifier through middleware, and realizing sharing among the equipment information through the middleware; obtaining operation data, constructing a prediction model according to the operation data, obtaining a prediction result, judging a subsequent working condition through the prediction result, comparing the prediction result with a threshold value, and judging whether the operation is abnormal or not according to a comparison result; according to the method, the operation data is subjected to visualization processing, the use condition, the failure rate and the maintenance plan of the equipment are displayed through visualization processing, and the visualization result is sent to the terminal, so that the problems that the existing equipment full-life-cycle management cannot be operated by multiple terminals at the same time, the operation accuracy cannot be ensured, and the operation efficiency is high are solved. And visual processing cannot be carried out on the whole life cycle of the equipment.
Owner:BEIJING HUARUAN HENGXIN TECH DEV CO LTD

Foundation engineering sediment detector based on physical sensor

The invention relates to the field of foundation engineering detection, in particular to a foundation engineering sediment detector based on a physical sensor, which comprises an automatic coupling agent filling control module, a pile foundation sediment thickness analysis module, a foundation settlement early warning module, a standard penetration test module, a data association module and a comprehensive evaluation module, according to the system, coupling agent filling abnormal data and pile foundation hole sediment thickness abnormal data are analyzed and screened, a change curve of foundation settlement along with time is drawn, a threshold value is set to trigger early warning, and the penetration number and depth data are collected to determine the compactness grade of a foundation soil layer, so that a data association relation table is constructed, and visualization processing and presentation are carried out; meanwhile, the comprehensive evaluation score of the foundation is comprehensively calculated, the stability degree grade of the foundation is determined and fed back, the filling speed of the coupling agent is conveniently adjusted, the accuracy of pile foundation sediment thickness detection data is ensured, and the efficiency and practicability of foundation settlement monitoring and the standard penetrometer are improved.
Owner:SUZHOU TRAFFIC ENG TESTING CENT CO LTD

Tunnel deformation detection method based on convolutional neural network and machine vision sensor

The invention relates to the field of tunnel engineering safety monitoring, in particular to a tunnel deformation detection method based on a convolutional neural network and a machine vision sensor, and the method comprises the steps: collecting annular deformation data, longitudinal deformation data and cross section displacement inclination angle data through the machine vision sensor arranged in a tunnel; preprocessing the annular deformation data and the longitudinal deformation data by using a convolutional neural network; the cross section displacement inclination angle data are converted into discretized matrix data, and visualization processing is carried out based on the differential geometry theory; constructing a tunnel deformation monitoring model and carrying out simulation measurement and calculation; according to the method, the differential geometry theory and the convolutional neural network are deeply fused, the cross section of the tunnel is regarded as a two-dimensional Riemannian manifold embedded into a three-dimensional Euclidean space, the deformation characteristics of a complex curved surface are accurately described, and the deformation speed of the tunnel is determined. All-directional and high-precision monitoring and prediction of tunnel deformation are realized.
Owner:BEIJING DITIE ARCHITECTURE INSTALL ENG CO

Chassis prediction control system and method based on binocular vision and multi-domain cooperation

The invention relates to the technical field of vehicle electric control suspensions, in particular to a chassis prediction control system and method based on binocular vision and multi-domain cooperation, and constructs the chassis prediction control system based on binocular vision and multi-domain cooperation based on an ADAS binocular camera. IMU data of a binocular camera is obtained by using a data acquisition module of the chassis prediction control system, visual observation data of a vehicle body is obtained by using a binocular visual processing module, and then the IMU data and the visual observation data are fused and converted into a three-dimensional image by using modules such as an extended Kalman filtering fusion module and a motion conversion module. The sprung mass vertical acceleration and sprung mass vertical speed of the vehicle four-corner suspension provide accurate suspension four-corner vertical motion state input for an electric control suspension controller, and the accuracy and real-time performance of the electric control suspension for vehicle body posture control are guaranteed. Meanwhile, the problems that a special IMU is difficult to arrange, high in cost and insufficient in precision and IMU resources of an ADAS system are wasted are solved.
Owner:辰致科技有限公司

Damage three-dimensional reconstruction and full-time-history quantitative analysis method based on two-dimensional axisymmetric finite element model

The invention discloses a damage three-dimensional reconstruction and full-time-history quantitative analysis method based on a two-dimensional axisymmetric finite element model, and the method comprises the steps: constructing the axisymmetric finite element model, importing the axisymmetric finite element model into LS-Dyna software, carrying out the numerical calculation, analyzing a K file, and extracting key information. And screening a specified unit, preprocessing data, calculating the centroid position and volume, and realizing accurate mapping from two dimensions to three dimensions. Mechanical response parameter time history data are extracted, binarization processing and peak value extraction are carried out, damage parameters are calculated, damage time history data are subjected to visualization processing, and a high-resolution image is output. The method solves the problems of lack of spatial-temporal evolution analysis capability, blank extraction of damaged geometric parameters, insufficient cloud picture resolution and the like in the prior art, has wide applicability and practical application value, and can provide powerful support for explosion impact dynamics and penetration damage evaluation.
Owner:NANJING UNIV OF SCI & TECH

Radial ultrasonic roller device for cleaning wire rod structure

The invention discloses a radial ultrasonic roller device for cleaning a wire structure, which comprises a roller, an ultrasonic generator, a visual processing system, a high-speed camera, a tensioning wheel, a mounted bearing, a rotating shaft, a connecting wheel, a via hole conductive slip ring, a rotation stopping fixer, a bracket and a stand column, the roller is fixedly installed on a rotating shaft, and the two ends of the rotating shaft are rotationally installed on a support. Through the synergistic effect of ultrasonic vibration and a roller structure, rapid atomization and separation of liquid drops are achieved, the wire surface drying efficiency is remarkably improved, and meanwhile the problems of high energy consumption or low efficiency in a traditional method are solved; ultrasonic acts on the wire rod through the roller and does not make direct contact with the wire rod, the wire rod is prevented from being damaged due to the direct action of the ultrasonic, the wire passing groove is formed in the roller, the wire rod moves through the wire passing groove to be clamped, and deviation of the wire rod in the moving process is avoided.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Double-station solder ball welding machine correction system based on machine vision and multi-axis cooperation

The invention discloses a double-station solder ball welding machine correction system based on machine vision and multi-axis cooperation, and belongs to the field of welding equipment correction. A double-station solder ball welding machine correction system based on machine vision and multi-axis cooperation comprises an image acquisition unit, a visual processing unit, a multi-axis control unit and a cooperative scheduling unit. The problems that in existing double-station welding equipment, due to the fact that a single-station vision scheme is simply copied, the equipment takt is slow, the productivity is limited, and comprehensive compensation for dynamic errors and optical environment differences under multi-station collaborative operation is lacked are solved. Compared with the prior art, the double-station equipment has the advantages that overlapped execution of visual correction and welding operation is achieved, and feed-forward and online compensation mechanisms for dynamic errors such as thermal deformation and vibration are integrated, so that high-precision positioning is guaranteed, and the production efficiency and the operation reliability of the double-station equipment are remarkably improved.
Owner:SHENZHEN INFEASANT TECH CO LTD

Visualization processing method and device based on attention mechanism and storage medium

The invention relates to a visualization processing method and device based on an attention mechanism and a storage medium. The visual processing method based on the attention mechanism and applied to the electronic equipment is characterized in that the visual processing method based on the attention mechanism is applied to the electronic equipment and comprises the steps that an original text C and a question Q are spliced and combined, and first input information is obtained; inputting the first input information into a question and answer model to obtain answer information A, output result information T of the question and answer model and an attention matrix Attenm; giving a focusing range, and calculating an attention matrix in the focusing range; based on the attention matrix in the focusing range, a heat map is obtained through calculation, and visualization processing is carried out on output result information T of the question and answer model.
Owner:ZHONGKE FANYU TECH

A mindfulness prediction-intervention-feedback system and control method

The application discloses a mindfulness prediction-intervention-feedback system and a control method, relates to the technical field of mindfulness training systems, and comprises a wearable user interaction device and sequentially connected user management module, mindfulness intervention training module, dynamic prediction module, intervention effect evaluation module and feedback interaction module; the initial mindfulness level, depression level and anxiety level of a user are determined; based on the depression level and anxiety level of the user, a target training scheme of the user is determined, and the user is prompted to perform mindfulness training according to the target training scheme; the target training scheme is adjusted based on an emotional state factor; the real-time mindfulness level of the user and the completion progress of the target training scheme by the user are determined according to a preset time interval, a mindfulness training report is generated in combination with the initial mindfulness level, and visual processing is performed; the mindfulness training method is selected by evaluating the mindfulness level of the user, and the rationality of the mindfulness training scheme can be improved.
Owner:GUANGDONG UNIVERSITY OF FOREIGN STUDIES