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89 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

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

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

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

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

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

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

Slope stability evaluation method and system under heavy rainfall condition

The invention provides a slope stability evaluation method and system under a heavy rainfall condition, and the method comprises the steps: collecting a slope image data sample, extracting a two-dimensional slope section and key geometric feature parameters of the slope image data sample through employing a three-dimensional space modeling technology, and constructing a data set through employing a two-dimensional finite difference numerical simulation technology; constructing a hybrid model of an intelligent optimization algorithm based on supervised learning and machine learning regression, and training the hybrid model by using the optimized regression model hyper-parameters and the data set to obtain a slope stability evaluation model; inputting a to-be-detected slope image of a target area into the slope stability evaluation model to obtain a slope safety stability coefficient result; and carrying out interpretability analysis and visualization processing on the slope safety stability coefficient result to obtain a slope safety stability coefficient correlation parameter analysis result and a visualization display result.
Owner:QINGHAI HUANGHE HYDROPOWER DEVELOPMENT CO LTD +2

Intelligent investment advisor interaction and asset allocation visual decision-making system based on augmented reality

The invention relates to the technical field of intelligent investment advisers, and discloses an intelligent investment adviser interaction and asset allocation visual decision-making system based on augmented reality, and the system comprises an augmented reality display device; the user interaction module is used for capturing an input instruction of a user; a data acquisition module; intelligent investment advisor and commissioning; a visualization processing unit; a decision execution module; a system control center; a user identity authentication module; a data storage module; a network communication module; and a calculation acceleration module. According to the intelligent investment adviser interaction and asset allocation visual decision-making system based on augmented reality, by integrating augmented reality display equipment and a multi-dimensional visual processing unit, an abstract asset allocation scheme, a market trend and risk information are overlaid in a real environment in visual forms such as a three-dimensional hologram and a spectrogram; the understanding efficiency and decision immersion of the user on the complex financial data are remarkably improved, and the problems that traditional two-dimensional interface information is not visual in presentation and poor in interaction experience are solved.
Owner:UNIV OF SCI & TECH OF CHINA

Patient somatosensory monitoring system, method, device and equipment

The invention relates to a patient somatosensory monitoring system, method, device and equipment. The system comprises a magnetic resonance imaging device used for performing magnetic resonance scanning on a patient; the sensor is used for collecting local somatosensory data of the patient during magnetic resonance scanning in the magnetic resonance imaging equipment; the visual processing unit is used for receiving the local somatosensory data collected by the sensor, and predicting to obtain global somatosensory data according to the local somatosensory data; wherein the type of the local somatosensory data is the same as or different from that of the global somatosensory data; and the display unit is used for receiving the global somatosensory data sent by the visualization processing unit and displaying the global somatosensory data. By adopting the scheme, the arrangement difficulty of the sensor can be reduced.
Owner:SHANGHAI UNITED IMAGING RES INST OF INTELLIGENT IMAGING

Method for judging compaction degree of working face old roadway based on SF6 air leakage measurement

The invention discloses a working face old roadway compaction degree evaluation method based on SF6 air leakage measurement, and relates to the field of compaction evaluation, and the method comprises the following steps: obtaining coal mine basic information, and setting a coal mine working face three-dimensional model; setting a corresponding release point and a plurality of detection points according to the coal mine working face three-dimensional model; setting the required release volume according to the release point position information, releasing the corresponding tracer gas, and obtaining the detection information of the tracer gas at each detection point position; carrying out visualization processing on the obtained detection information of the tracer gas; the visual processing results of the detection information corresponding to all the detection points are compared and analyzed, and corresponding air leakage measurement information is obtained; ventilation route information in the mine is obtained according to the air leakage measurement information obtained by all the detection points, analysis processing is conducted according to the ventilation route information, and compaction degree information corresponding to the old roadway information is obtained; the safety of the working face old roadway is improved.
Owner:HUAI-ZHEJIANG COAL & ELECTRICITY CO LTD GUBEI COAL MINE +2

Method and apparatus for generating key points

The disclosure discloses a key point generation method and device, relates to the technical field of computers, and particularly relates to the technical field of visual processing. A specific implementation scheme is as follows: first, a target human body model corresponding to a target object is acquired; then, position information of a vertex in the target human body model is determined; finally, the position information of the vertex in the target human body model is input into a key point generation model, a human body key point corresponding to the target object is generated, the target human body model is identified through the constructed key point generation model, the human body key point corresponding to the target human body model is determined, and thus the human body key point corresponding to the target object is determined. The human body key point can be generated based on a model surface vertex, is suitable for various flexible human bodies with various postures and muscle non-rigid changes, and the accuracy and flexibility of the human body key point are improved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Bearing fault diagnosis method based on one-dimensional convolutional neural network

The invention relates to a bearing fault diagnosis method based on a one-dimensional convolutional neural network, and relates to the technical field of bearing fault diagnosis. The method comprises the steps that a bearing working data set is acquired, wherein the bearing working data set is a data set acquired in the working process of a target bearing; the bearing working data set is input into a bearing fault diagnosis model, a bearing fault diagnosis result corresponding to the target bearing is output, and the bearing fault diagnosis model is an artificial intelligence model based on a one-dimensional convolutional neural network; and carrying out visualization processing on the bearing fault diagnosis result. After a bearing working data set is obtained, a bearing diagnosis result corresponding to the bearing working data set is generated through an artificial intelligence model based on a one-dimensional convolutional neural network, and a bearing fault diagnosis result is obtained after visual result processing. And an artificial intelligence technology and a visual processing process are combined, so that the processing result of the bearing working data set is efficient and accurate.
Owner:WUXI WEIMING INTELLIGENT TECH CO LTD

Guardrail topological graph generation system based on guardrail connection identification

The invention relates to the field of guardrail topology generation, and particularly discloses a guardrail topological graph generation system based on guardrail connection identification, which comprises the following steps: firstly, acquiring an original signal flow generated by connection or disconnection operation in real time through a sensor deployed at a guardrail connection port; the signals are then parsed into a structured event list. By analyzing the time sequence of the events, the active connection event of one guardrail is matched with the passive connection event of the other guardrail in an extremely short time window, so that the connection relationship between the guardrails is accurately identified. Once the connection relation is confirmed, nodes representing guardrails and edges representing connection are generated on the basis, and a logic topological graph is formed. And finally, performing visualization processing on the logic diagram to generate a visual layout form image. Therefore, the real-time and remote visual supervision of the guardrail topology is realized, and the construction management efficiency and the safety response speed are effectively improved.
Owner:ZHEJIANG HAIYAN POWER SYST RESOURCES ENVIRONMENTAL TECH

An interactive control method and system for an industrial vision system

The application discloses an interactive control method and system of an industrial vision system, and relates to the technical field of data analysis.The method comprises the following steps: preprocessing user request information; performing intention analysis on the preprocessed user request information based on a structured knowledge base; matching a corresponding core function module based on intention analysis information to determine instruction information, and performing standardization processing on the instruction information based on a parameter name mapping; issuing the standardized instruction information to the industrial vision system for execution based on a system interfacing layer; in the execution process, acquiring execution state data and execution effect data of the industrial vision system in real time for visual processing, and storing the visual data and the intention analysis information into a data storage layer.The application realizes full-process automatic execution of data collection-analysis-visual data generation, and realizes intelligent interaction of the industrial vision system.
Owner:SHENZHEN WEINER HUISHI TECHNOLOGY CO LTD

Organ-like ball transfer system, transfer method and automatic organ-like culture platform

The invention discloses an organoid ball transfer system, a transfer method and an automatic organoid culture platform, and relates to the field of organoid culture. The invention aims to solve the problems that the existing culture and transfer planting of the organoids mainly depend on manual operation, the transfer efficiency, the position precision and the culture consistency are difficult to guarantee, and the stability and the repeatability of experimental results are influenced by the manual operation. According to the organ-like ball transfer system, the transfer platform is adopted to execute the transfer work of the organ-like balls; and adopting a visual processing unit to track and position the organ-like ball in the transfer process of the organ-like ball. The organoid cell balls can be quickly and nondestructively transferred into the liquid matrigel, and the blank of an organoid automatic system of a small chamber culture system is filled.
Owner:YONGJIANG LAB

An event influence range calculation method based on an industry chain propagation path

PendingCN122635334AData miningEvent object
The application provides an event influence range calculation method based on an industry chain transmission path, comprising: information extraction on information data to obtain an event subject and an event process in the information data; industry identification on the event subject and the event process respectively to obtain a subject industry to which the event subject belongs and an object industry to which an event object included in the event process belongs; determination of a first influence of the event subject based on the subject industry and determination of a second influence of the event process based on the object industry; determination of an entity object within an influence range of the information data based on the first influence and the second influence; visual processing on the entity object within the influence range to obtain a visual view of the information data, and display of the visual view. Through the above manner, the influence degree of the information data can be quickly determined, and the accuracy of the determined influence degree of the information data is improved.
Owner:BEIJING WANLIAN YIDA TECH CO LTD

A method and system for identifying crop pests based on visual recognition

This invention discloses a method and system for identifying crop pests based on visual recognition, belonging to the field of pest identification technology. A crop pest identification system based on visual recognition includes a crop visual processing module and a crop pest identification module. This invention constructs a multi-source information collaborative judgment mechanism by integrating visual image features, volatile gas concentrations, and environmental parameters, effectively distinguishing between physiological abnormalities and pathogenic diseases, reducing misjudgments and missed judgments caused by environmental interference, and significantly improving the accuracy and reliability of identification results. By combining gas sensor data to analyze crop respiration characteristics and maturity status, it can identify crop physiological abnormalities before visual symptoms appear, achieving early detection and warning of pests. Dynamically adjusting the identification threshold and sensitivity according to different growth stages supports targeted prevention and control decisions, improving the timeliness of prevention and control.
Owner:JIANGXI COLLEGE OF APPLIED TECH

Laser removal system and method for micro-LED bad chip

The invention relates to the technical field of bad chip removal, in particular to a micro-LED bad chip laser removal system and method, which comprises a laser, a beam shaping module, a saddle type integral mirror, a visual processing module and a processing table, and is characterized in that the laser outputs femtosecond laser beams in Gaussian intensity distribution; according to the laser removing system for the Micro-LED bad chip, the light beam shaping module comprises the diaphragm adjusting assembly, the diaphragm adjusting assembly is located behind the laser device, and the saddle-shaped integral mirrors are arranged behind the light beam shaping module at intervals, so that the shaped rectangular light beams are subjected to energy and shape distribution regulation and control to form the light spots; therefore, the shape, size and energy distribution of the femtosecond laser beam are dynamically adjusted through the beam shaping module and the saddle-shaped integral mirror, so that the femtosecond laser beam can be dynamically adjusted to remove the defective chip.
Owner:FOSHAN UNIVERSITY

Physical field line arrow direction processing method, system and equipment based on VTK pipeline and medium

The invention provides a physical field line arrow direction processing method, system and device based on a VTK pipeline, and a medium. The method comprises the following steps: obtaining physical field point vector data; extracting a direction vector array according to the physical field point vector data; acquiring a calibration parameter table of the arrow direction according to the direction vector array; acquiring an arrow geometric transformation instance according to the calibration parameter table, and writing the arrow geometric transformation instance into an output object; and the output object is transmitted to a Paraview rendering engine through a VTK pipeline for visualization processing. According to the method, the arrow completely consistent with the trend of the physical field line is automatically generated according to the vector data, the problems that the traditional arrow is disordered in direction and needs to be manually adjusted are solved, meanwhile, the original function of Paraview does not need to be modified, a non-developer can also quickly obtain a physical field arrow visualization result with the accurate direction through simple operation, and the development efficiency is improved. The flow direction of a physical field can be clearly understood; the system also has the same beneficial effects.
Owner:NAT UNIV OF DEFENSE TECH

Ecological product value evaluation method

The invention discloses an ecological product value evaluation method, and relates to the technical field of urban traffic, and the method comprises the steps: 1, converting remote sensing image land classification data into vector space point data, and recording the vector space point data as a data set A; step 2, spatial clustering processing is performed on the data set A based on a DBSCAN density clustering algorithm to obtain a DBSCAN density clustering result, convex hull and concave hull processing is performed on the DBSCAN density clustering result to obtain a minimum convex hull and a minimum concave hull of each category, all the minimum convex hulls form a first clustering result s, and all the minimum concave hulls form a second clustering result S1; 3, performing index calculation on the first clustering result S in combination with the second clustering result S1; step 4, performing clustering processing on the index calculation result I of the S to obtain a result C; and step 5, carrying out classification spatial distribution visualization processing on S according to C. According to the method, the value of the ecological product can be evaluated by constructing the spatial form and the population analysis index of the ecological product.
Owner:JIANGSU INST OF URBAN PLANNING & DESIGN

A dish visual processing detection system

ActiveCN119559657BInstrumentsCharacter analysisCollection analysis
The present application relates to the field of image processing, and more particularly to a dish visual processing detection system, comprising: a collection and analysis module, configured to perform quality detection on a randomly selected target detection product and key label image collection, and to detect a collection quality coefficient of each character image in the key label image, and determine the category of the character image according to the collection quality coefficient; a data analysis module, configured to determine a processing mode according to an abnormal character proportion; a secondary processing module, configured to determine a to-be-adjusted character region and perform region adjustment, and determine an image processing mode according to a contrast reference value and a proportion of a reflective region; and a character analysis module, configured to determine a character recognition mode according to an abnormal key coefficient, so that the accuracy of the information recognition result of the key label image with abnormal character images is improved, and the degree of dependence on personnel recognition is reduced.
Owner:BEIJING SIECAN TECH CO LTD

A multi-modal image defogging method and device, electronic equipment and storage medium

The application provides a multi-modal image defogging method and device, electronic equipment and storage medium, and relates to the technical field of image processing, which comprises the following steps: performing feature extraction on an RGB image and radar point cloud data respectively to obtain RGB image features and radar point cloud features; inputting a first parallel convolution module and a second parallel convolution module for convolution processing to obtain a first feature fusion result and a second feature fusion result respectively; performing feature fusion through the first feature fusion result and the second feature fusion result to obtain a multi-modal image fusion result; inputting the multi-modal image fusion result into an image defogging model based on a visual processing improvement algorithm to obtain a fusion defogging image, wherein the image defogging model comprises a target encoder, a target decoder and a feature enhancement module, and the feature enhancement module is constructed based on a Vision Transformer. The application realizes the improvement of image defogging precision.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)

Series ac arc fault detection method and system based on difference matrix and self-attention mechanism

The application discloses a series arc fault detection method and system based on a differential matrix and a self-attention mechanism, and belongs to the technical field of arc fault detection. In order to solve the problem that the existing series arc fault detection is prone to being shielded by a load, and the fault feature information carried by current is easy to be covered, and the detection accuracy needs to be improved, the application obtains a current signal time sequence under a load, reorganizes to obtain an m-row matrix, uses a principal component analysis method to obtain a principal component of each row, obtains a new sequence S with a length of m, performs different degree differential operations on the sequence S, and stacks the operation results into a matrix M; the matrix M is transposed and then stacked to obtain a stacked matrix, then visual processing is performed to obtain a differential matrix image; the differential matrix image is sent to a deep convolution network model fused with a self-attention mechanism for identification, and a series arc fault detection result is obtained.
Owner:HARBIN INST OF TECH

High-precision laser dazzling closed-loop control system based on deep learning vision algorithm

The invention relates to the technical field of photoelectric tracking and confrontation, and discloses a high-precision laser dazzling closed-loop control system based on a deep learning vision algorithm, which comprises a laser dazzling denial unit and a high-precision servo tracking device, and adopts a double-rate asynchronous closed-loop architecture. The deep learning visual processing unit outputs target observation data with an absolute timestamp in a low-speed loop; the high-precision servo controller executes high-frequency deduction on the basis of inertial data in a fast loop, measurement updating of space-time alignment is carried out by utilizing a historical state buffer queue and a forward re-integration algorithm, and visual delay is eliminated; the system also establishes a self-adaptive region-of-interest adjustment mechanism based on prediction covariance matrix interaction, and integrates inverted PWM trigger exposure control, dynamic geofence verification and power nonlinear modulation functions. According to the method, the problem of tracking lag caused by visual delay under the high dynamic condition is effectively solved, and the tracking precision, robustness and operation safety of the system are improved.
Owner:CHENGDU AEROSPACE KAITE ELECTROMECHANICAL TECH CO LTD

Visual and auditory processing and brain activity classification method and system based on EEG space-time frequency characteristics

PendingCN121765464Aimprove accuracyMulti bandActivity classification
The embodiment of the invention provides a visual and auditory processing and brain activity classification method and system based on EEG space-time-frequency characteristics. The method comprises the steps that multi-band electroencephalogram data are obtained; wherein the multi-frequency-band electroencephalogram data represents brain activity data collected under different frequency bands; performing visual and auditory preprocessing on the multi-band electroencephalogram data to obtain a preprocessed multi-band electroencephalogram signal; performing clustering analysis on the basis of the multi-frequency-band electroencephalogram signals to obtain micro-states of various stimuli under different frequency bands; calculating a micro-state attribute of the micro-state, and performing relevance calculation based on the micro-state attribute and a predetermined multi-band brain network to obtain a space-time frequency relevance vector; and through a predetermined visual and auditory processing brain activity identification model, carrying out brain activity identification on the space-time-frequency association vector to obtain a brain activity classification result. According to the scheme, the brain activity classification accuracy can be improved.
Owner:NORTHEAST DIANLI UNIVERSITY

Neurodegenerative disease recognition system

The present application relates to the technical field of neuroscience and biomedical engineering, and particularly relates to a method and system for diagnosing neurodegenerative diseases (especially Parkinson's disease) of a subject. The topological change stimulation and non-topological change stimulation of the present application can stimulate the brain regions involved in figure integration and structure recognition, and meanwhile, the phase lag index is used as a connectivity measurement tool, thereby providing a new idea for diagnosing visual processing defects related to neurodegenerative diseases. The method is simple, has strong repeatability, and is strong in analysis pertinence, and is suitable for diagnosing neurodegenerative diseases of a large sample, and also provides a reliable quantitative basis for assisting doctors in diagnosis.
Owner:INSTITUTE OF BIOPHYSICS CHINESE ACADEMY OF SCIENCES +1

Self-attention-based nuclear power plant equipment predictive evaluation maintenance method and system

The application relates to the technical field of equipment life prediction, and provides a nuclear power plant equipment predictive evaluation maintenance method and system based on self-attention, which comprises the following steps: obtaining multi-source sensing data of equipment by adopting a sliding window mechanism, and obtaining an input time window sequence after preprocessing; performing reasoning on the time window sequence data by a model to obtain a state vector for regression analysis, and generating equipment residual service life; performing visual processing on an attention matrix to obtain an equipment health state interpretation atlas of attention weights, and generating interpretation information; and fusing the obtained equipment residual service life and corresponding interpretation information to generate equipment maintenance strategy suggestions. The application innovatively fuses a sliding window and a Transformer model, realizes deep modeling and explainability analysis of multi-source equipment data, and constructs an equipment health state atlas based on an attention mechanism, which is used for accurate prediction and maintenance strategy generation.
Owner:SHANGHAI NUCLEAR ENGINEERING RESEARCH & DESIGN INSTITUTE CO LTD