132 results about "Image parsing" patented technology

The invention discloses a grooving machine rigidity dynamic adjusting system and method based on material image recognition, and relates to the technical field of grooving machine rigidity dynamic adjusting, and the method comprises the following steps: obtaining a material surface and subsurface image sequence of a grooving machine processing area; inputting the image sequence into a pre-trained depth vision analysis model, and outputting a material characteristic parameter set in real time; converting the material characteristic parameter set into a target rigidity value based on a rigidity demand mapping model; within a preset regulation and control window period before the cutter makes contact with the target machining area, the initial rigidity adjustment amount is obtained according to the target rigidity value, and a rigidity adjustment instruction is generated and sent to a rigidity adjustment execution mechanism for dynamic adjustment; in the cutting process, fusion of feedback data and an image analysis result is obtained, and the initial rigidity adjustment amount is corrected; dynamic, accurate and predictive active adjustment of the rigidity of the grooving machine is achieved, and therefore the machining adaptability, intelligence and stability of the grooving machine are effectively improved.

The invention relates to the technical field of identification control, in particular to a fastener heat treatment integrated digital control system which comprises a process sequence number setting module, a graph code analysis module, a parameter instruction generation module, a temperature zone driving judgment module and a state autonomous response module. According to the method, the fastener category and the thermal process section sequence number are subjected to combined coding and embedded into the graph code to construct the structured recognition pattern, clear identification and automatic recognition of the thermal process section sequence can be achieved, the structured sequence number is automatically extracted in combination with graph code image analysis, and the section sequence index result is generated; an instruction index relation is established through multi-section target parameter aggregation to form a structural body array, a response marking system is established in combination with temperature real-time acquisition and tolerance zone comparison, the abnormal deviation state in the processing process can be dynamically recognized, and autonomous cooling response is implemented based on the temperature deviation frequency; and the process continuity of system operation, the accuracy of a control instruction and the stability of temperature zone execution are comprehensively improved.

The invention discloses a PDF contract file identification method and system, a medium and a program product, and relates to the technical field of information identification, and the method comprises the steps: carrying out the image analysis of an obtained PDF contract file through employing a deep learning model, generating an editable text, and synchronously identifying the page layout of the document, outputting structured data including page numbers, text paragraphs and coordinate information; performing multi-dimensional feature matching on the text paragraphs according to an adaptive semantic analysis algorithm, a preset contract template library and a dynamic keyword library, and positioning contract core element information; performing entity relationship verification on the content of the contract core element information, correcting an extraction error through dependency syntactic analysis and semantic role labeling, and establishing a contract element data set containing a confidence coefficient weight; and performing serialized packaging on the verified contract element data set to generate a contract element list conforming to electronic signature authentication. According to the invention, the processing efficiency and recognition precision of the PDF contract file are improved.

The invention discloses a unified streaming processing method, system and device for multi-modal AI interactive content, a medium and a program product, and the method comprises the steps: receiving a request which is sent by a user and comprises an image and a text, and constructing a request context; extracting image features; carrying out image analysis and outputting an image description text; performing intention recognition and outputting an intention; multi-stage reasoning is carried out, and thinking content fragments are generated in a streaming mode; buffering and releasing thinking content fragments; generating text content fragments based on multi-stage reasoning; buffering and releasing the text content fragments; performing recommendation triggering based on the image description text and the intention; recommending content fragments; inserting a recommended position, buffering and issuing; and process event management: issuing event notifications when the beginning, any step fails and the end. The method is a universal method capable of transmitting different types of outputs in a single ordered stream, the analysis cost can be reduced, and the interaction experience and expansibility are improved.

The invention discloses a three-dimensional visualization head and neck tumor preoperative imaging system based on deep learning. The method comprises the following steps: image analysis and preprocessing; carrying out image denoising and spatial-temporal feature extraction based on a deep learning convolutional neural network architecture, and introducing a u-Net model to realize image segmentation and semantic annotation; performing three-dimensional reconstruction and surface rendering by adopting a Marking Cubes algorithm, and realizing visual interaction image presentation and personalized operation by combining volume rendering and surface rendering; and data is output through multiple ports, and data viewing and interactive operation of a web terminal and a mobile terminal are supported. The method has the advantages that according to the technical scheme, through fusion of a three-dimensional attention mechanism and multi-phase data, the tumor segmentation Dice coefficient reaches 0.92 + / -0.03, and the method is superior to a traditional threshold segmentation method.

The invention discloses a multi-view athlete collision detection penalty auxiliary method for a Kabadi competition, which comprises the following steps: acquiring videos of different views of the Kabadi competition, respectively carrying out target detection, and generating a detection frame of an athlete; performing three-dimensional reconstruction on the position of the athlete according to the detection frame data of the multiple visual angles at the same moment, and analyzing to obtain space-time behavior data of the athlete; for each view angle, according to the athlete detection frame and the spatiotemporal behavior data, detecting whether potential collision occurs in the current frame, and if potential collision occurs in multiple continuous frames, marking the current frame as an event frame cluster; performing posture detection on the athletes in the event frame cluster, calculating the nearest distance between joint points of an attacking party and a defending party, selecting a frame with the minimum comprehensive distance as a penalty key frame, and marking the frame as a collision event; and analyzing and converting the space-time behavior data and the collision event of the athlete and a reconstructed image generated by a plug flow rear end into a live broadcast picture, state information and event prompt for a referee to understand and outputting the live broadcast picture, the state information and the event prompt.

The invention provides a CAD drawing watching method and device supporting cross-platform font configuration, equipment and a medium, and belongs to the technical field of data processing. The CAD drawing reading method supporting the cross-platform font configuration comprises the following steps: receiving a drawing reading request sent by a front-end operating system; according to an image analysis algorithm, a CAD drawing corresponding to the drawing reading request is analyzed, drawing analysis information is obtained, and the drawing analysis information comprises text information; mapping fonts corresponding to the character information are selected from a built-in font library of a back-end server according to applicable operation platforms of the CAD drawing, and the built-in font library comprises mapping fonts applicable to different operation platforms respectively; and using the mapping font to render a CAD drawing, and sending a reading file corresponding to the CAD drawing to a front-end operating system. The problems of font missing, format incompatibility, rendering incompleteness and drawing information loss or deformation caused by platform incompatibility fonts in the drawing viewing process in the prior art can be solved.

The invention discloses an underground pipeline distribution detection method and system based on a ground penetrating radar, and relates to the field of underground pipe network engineering. The method comprises the steps of performing orthogonal grid division on a to-be-detected interval based on grid preset parameters, performing GPR orthogonal scanning on a grid detection area, and determining an initial trend of an underground pipeline according to a first vertex and a second vertex; adjusting the initial trend of the underground pipeline based on the initial vertical scanning direction; on the basis of the adjusted direction of the underground pipeline, continuing to perform GPR scanning on the grid detection area until scanning of the grid detection area is completed, and inputting obtained radar original data into the image detection model to obtain a first type of parameter value corresponding to the underground pipeline; and inputting the first type parameter value and the second type parameter value into a pipe diameter prediction model to obtain a pipe diameter value. According to the invention, through linkage of the three modules, intelligent and efficient cooperative one-stop service of detection image analysis, detection path planning and detection remote control can be realized.

The invention provides a piece counting method applied to a sewing machine, and the method comprises the steps: determining the movement distance of a sewn object when a position sensor detects the movement of the sewn object; if the moving distance of the sewing object meets a moving distance threshold value, acquiring a user hand action image recorded by an image sensor within a set time after the sewing object moves, and analyzing the user hand action image to obtain a hand action sequence; if it is confirmed that the hand action sequence contains the piece counting symbolic actions or the number of times of the hand actions contained in the hand action sequence is lower than the change threshold value, piece counting accumulation operation of the sewn object is executed. According to the method, the distance sensor is combined with the hand action recognition for automatic piece counting, manual piece counting is not needed, and the piece counting accuracy can be effectively improved. The invention further provides a piece counting system applied to the sewing machine, a computer readable storage medium and electronic equipment which have the above beneficial effects.

The invention relates to a material tray information input method, system and device and a storage medium, and relates to the field of material trays. Each material disc comprises an information area engraved with material disc information and a slot area used for containing chips. The method comprises the steps that material disc images of a plurality of stacked material discs in an overlook state are collected; segmenting the material tray image to obtain an information image corresponding to the information area; segmenting the material tray image to obtain a chip total image corresponding to the slot position area; analyzing the information image to obtain material tray information; analyzing the chip total image to obtain chip information; and inputting material tray information and chip information, and respectively associating and storing the information image and the chip total image corresponding to the material tray information and the chip information. The technical effect of the invention is that the accuracy of information input of the material tray is improved.

According to the LCD image analysis equipment, the acquisition module is designed to comprise a plurality of different types of interfaces, so that data of different types of screen interfaces of the screen driving board can be captured; and the analysis module is designed to analyze the interface data sent by the acquisition module to obtain image data, and the image data is sent to the display module to be displayed. Therefore, due to the fact that the LCD image analysis equipment is provided with the interfaces of different types, data of the interfaces of different types can be captured, and the application range is wide; according to the LCD image analysis device, the interface data is analyzed through the analysis module to obtain the image data, and the image data is displayed through the display module, so that the LCD image analysis device not only has a data acquisition and capture function, but also has an image analysis function, and the technical problem that a device with a data acquisition function and an image analysis function is lacked in the prior art is solved.

The invention relates to the field of engineering management, and particularly discloses a quality management system and method for engineering construction, and the method comprises the steps: firstly carrying out the preprocessing of a BIM model, and constructing a reference frame integrating visual features and spatial geometric information; when a problem image shot by a mobile terminal at a construction site is received, a computer vision and space calculation technology is introduced, a two-dimensional field image is analyzed into an accurate pose of a shooting camera in a three-dimensional BIM space, and sight line tracing is automatically performed in a BIM digital model based on the accurate pose. And intelligently inferring and retrieving candidate components which are highly matched with the perspective of the problem. And finally, on-site unstructured problem data and the unique identifier of the BIM component are firmly bound through lightweight interaction confirmation with the user, and a standardized structured problem record is obtained. Therefore, the problems of low manual positioning efficiency and unstable association can be solved, and the whole-process intelligent closed loop of quality problem data from acquisition to structured storage is realized.

Provide a system. , , 【Solution means】 Data acquisition means for a person image in a user terminal, Selection means for a desired impression for the person image, Communication means for transmitting the acquired person image to a server, In the server, analysis means for performing image analysis, Proposal means for proposing clothing and posing based on the analysis result, Generation means for generating a modified image generated based on the proposal, Means for transmitting the modified image to the user terminal, Storage means for storing the modified image selected by the user, A system including.

The invention discloses a document image analysis method and device, electronic equipment and a storage medium. The document image analysis method comprises the following steps: encoding a target document image by using an encoder to obtain target global feature map information of the target document image; and utilizing a joint decoder to perform joint decoding of space and content according to the target global feature map information to obtain a target joint sequence of each target text instance in the target document image, the target joint sequence comprising target space information and target content information of the target text instance. In the embodiment of the invention, the joint decoding of the space and the content can be simultaneously completed by utilizing the joint decoder, the target space information and the target content information of each target text instance in the target document image are obtained, the relevance of the space and the content is enhanced by the joint decoding, the unified processing of multiple tasks is realized, and the processing efficiency is improved. Therefore, the efficiency and accuracy of document image analysis can be improved.

The application discloses a synthetic aperture radar (SAR) image colorization system, comprising a data acquisition module, a model training module and a colorized image generation module; the data acquisition module is used for acquiring a multi-modal data set; the model training module is used for training a noise prediction model by using the multi-modal data set, wherein the noise prediction model is obtained by constructing a cross-attention mechanism network; and the colorized image generation module is used for inputting a to-be-predicted image into the noise prediction model to obtain a color optical image. The application is suitable for disaster monitoring, landform surveying and other scenes requiring high-precision SAR image analysis.

The invention relates to the field of bridge impact data analysis, and discloses a post-impact image recognition and damage quantification system for a bridge structure, which comprises a bridge recognition and analysis module. A dynamic image acquisition module; a model establishing module; a dynamic image analysis module; a damage data evaluation module; an evaluation data quantification module; a bridge damage result analysis module; a bridge repairing module; the invention aims to provide the image recognition and damage quantification system for the bridge structure after collision, and solves the problems that in the prior art, the damage condition of the impacted and damaged bridge is incomprehensively analyzed, so that the bridge repair effect is poor, and the image data before the bridge is impacted is not combined for analysis.

The invention discloses a method and a system for quickly inputting voting information. The method comprises the following steps: shooting a paper voting table containing a two-dimensional code to obtain an original image; performing document four-corner detection on the original image, and performing perspective transformation processing to obtain a coarse correction image; analyzing the two-dimensional code and pulling the corresponding electronic template; key points are extracted from the rough correction image and the template image for matching, and an initial key point pair set is obtained; when the quality is insufficient, the key point pairs are supplemented through OCR character graph matching; establishing an adaptive FFD control grid, and carrying out nonlinear deformation on the rough correction image until the rough correction image is aligned with a template pixel level to obtain a fine correction image; and clipping the ROI region according to the template definition file, executing check box classification identification to obtain structured voting data, and packaging the structured voting data into a preset format and outputting the structured voting data. According to the method, the heterogeneous second-level, high-robustness and traceable automatic information input aiming at the paper voting table form is realized.

The invention discloses an image generation method and device and electronic equipment. The method comprises the steps of obtaining a user prompt word, performing part-of-speech analysis on the user prompt word, and determining an image analysis result corresponding to a to-be-generated image according to a part-of-speech analysis result; obtaining a background cue word, analyzing the image analysis result and the background cue word by using a layout generation model to obtain a target image feature, and performing feature coding and fusion on entity information, background information and global information of the to-be-generated image by using the layout generation model through a variational auto-encoder to obtain a target image feature; the target loss function of the layout generation model at least comprises an activation loss function and a semantic loss function; and generating an image according to the target image feature. The technical problem that an image cannot be directly generated based on a layout demand and a specified element of a user when an image generation method in related technologies processes complex layout and multi-text description is solved.

The application belongs to the technical field of computer vision and intelligent control, and discloses a load device cooperative control system and method based on visual identification, which comprises a data acquisition module, an industrial camera is arranged in a work area, multi-view image acquisition of a load device and a work target is carried out, visual image data is acquired, time sequencing is carried out, and work visual data flow is formed; a pose analysis module is used for image analysis of the work visual data flow, extraction of load device structure characteristics, calculation of the spatial pose of each load device in combination with camera calibration parameters, determination of the work target position, generation of load device pose information; a shielding modeling module is used for equivalent of the geometric shape of each load device to a space bounding box changing with time according to the load device pose information, determination of the position and scale of the bounding box based on preset size parameters, formation of a space shielding body set, and improvement of the efficiency and safety of multi-load device cooperative work.

The invention relates to a steel bar detection method and equipment for an assembly type shear wall edge member, and the method comprises the steps: employing an industrial camera to shoot steel bars of the assembly type shear wall edge member from a plurality of angles, obtaining a shot image, carrying out the marking of the regions and types of the steel bars, building a target detection data set, and training a target detection algorithm, obtaining a reinforcing steel bar identification model; during on-site detection, the auxiliary calibration plate is vertically erected at the position of a central layer of an edge component of the fabricated shear wall, and a camera module is adopted for shooting to obtain a detection image; the sub-pixel angular point coordinates and the pixel precision of the auxiliary calibration plate are analyzed, and a standardized perspective transformation matrix is calculated so as to correct the shooting angle of the image; and obtaining geometric dimension and non-geometric dimension information by adopting a reinforcing steel bar identification model, and comparing the geometric dimension and non-geometric dimension information with design information of the component to detect whether the standard is met or not. Compared with the prior art, the steel bar detection device has the advantages of being capable of achieving automatic and precise steel bar detection, high in automation degree, easy and convenient to operate and the like.

The invention discloses an offset welding prevention and automatic correction method and system of a wire bonder, and belongs to the technical field of semiconductor packaging equipment. According to the method, the displacement deviation between the real-time position and the corresponding initial scanning position is calculated through a real-time image recognition re-search and result comparison mechanism, position iteration updating and intelligent deviation correction are executed according to the result, the UPH is improved, meanwhile, full-automatic judgment is achieved, dependence on manual parameter setting is not needed, the technology of dynamically modifying the ROI is introduced, and the working efficiency is improved. And the identification function of high and low power dynamic switching is simulated and realized on the single-optical-path camera, so that the cost of upgrading hardware into double optical paths is avoided, and the identification speed and the positioning precision are synchronously improved. Through an enhanced recognition algorithm, the image analysis capability of a sub-pixel level (1 / 32 pixels) is supported, and the search efficiency is optimized while the positioning precision is remarkably improved, so that the welding precision and the product yield are comprehensively enhanced, and the collaborative improvement of the recognition precision, the recognition speed and the system economy is realized.

The invention provides an intelligent coil binding technology and system, and relates to the field of mutual inductors, and the technology comprises the steps: obtaining a real-time video of a mutual inductor coil binding process, intercepting video frame images of the real-time video according to a time sequence and a preset video frame number, and constructing a real-time image set; image analysis is carried out on the video frame images, and real-time binding parameters of the mutual inductor coil are identified; judging whether each parameter in the real-time binding parameters meets a process requirement or not according to a standardized binding process; when the process requirements are met, the judgment process meeting the process requirements is repeatedly executed until coil binding is completed; otherwise, giving an alarm and correcting the operation which does not meet the process requirements; by monitoring the technological parameters of the transformer coil binding process in real time, it is ensured that the binding quality meets the requirement, and intelligent upgrading of coil binding quality control is achieved.

The invention relates to the field of laser flexible machining, and particularly provides a laser flexible machining cooperative control method and system based on image analysis and intelligent scheduling, a terminal and a medium, and the method comprises the steps: receiving a conventional task instruction containing known parameters and a to-be-machined image file; performing image processing and path planning on the image file, and extracting process attribute parameters of an image processing task; after parameters of the two types of tasks are combined, a multi-target model with the minimum production cycle, the equipment load unbalance degree, the total energy consumption and the total tool changing frequency as optimization targets is constructed, an improved genetic algorithm is adopted for solving, and an optimal task distribution and sorting scheme is output; laser equipment is controlled to execute tasks according to the scheduling scheme, and automatic tool changing and real-time monitoring are supported. The intelligent level, the production efficiency and the resource utilization rate of the flexible laser processing system are improved.

The application provides an image protection method and device and a storage medium, relates to the technical field of image processing, and can solve the problem that image information is destroyed and thus the image cannot be recognized. The method comprises the following steps: obtaining a first face image from an original image; performing image analysis on the first face image through a face network model to obtain edge information of the first face image, the edge information being used to represent the contour of each face part in the first face image; performing image coding on the first face image and the edge information of the first face image through a variational autoencoder to obtain a second face image; and updating the first face image in the original image to the second face image to obtain a target image. The embodiment of the application is used in the process of face image privacy protection in face recognition.

The invention discloses a soil moisture content prediction system, which relates to the technical field of soil monitoring and comprises a small-core processor module, a large-core processor module and a sensor module, the large-core processor module is deployed with a large language model and a visual model; the sensor module collects environmental parameter data of a target soil area in real time; the small-core processor module stores the environment parameter data collected in real time to a local cache; the large-core processor module is used for synchronizing locally cached environment parameter data to a memory of the large-core processor module when the large-core processor module is powered on, the sensor module is controlled to collect an environment image, and the visual model analyzes the environment image to obtain image analysis text content; the large language model predicts the soil volumetric water content in a future set time period according to the input information; the input information comprises the image analysis text content and the environment parameter data at the corresponding moment. According to the invention, system power consumption can be reduced, and high-computing-power data analysis and timely prediction of soil volumetric water content can be realized.

The application discloses a slotting machine rigidity dynamic adjustment system and method based on material image recognition, relates to the technical field of slotting machine rigidity dynamic adjustment, and comprises the following steps: acquiring a material surface and a subsurface image sequence of a machining area of a slotting machine; inputting the image sequence into a pre-trained deep visual analysis model to output a material characteristic parameter set in real time; converting the material characteristic parameter set into a target rigidity value based on a rigidity demand mapping model; obtaining an initial rigidity adjustment amount according to the target rigidity value and generating a rigidity adjustment instruction to be sent to a rigidity adjustment execution mechanism for dynamic adjustment within a preset control window period before a tool contacts a target machining area; and fusing feedback data and image analysis results to correct the initial rigidity adjustment amount during the cutting process. The application realizes dynamic, accurate and predictable active adjustment of the rigidity of the slotting machine, thereby effectively improving the machining adaptability, intelligence and stability of the slotting machine.

The invention relates to the field of electric power, and discloses a substation control equipment terminal strip drawing identification method, device and equipment, and the method is used for converting a terminal strip drawing into a standardized intermediate file. The method comprises the following steps: acquiring an electronic image of a terminal block drawing, and analyzing and identifying space coordinates of connection points, space coordinates of connection lines, line types, line widths and space coordinates of short circuit symbols; identifying and extracting a plurality of character sequences and corresponding minimum bounding box coordinates; establishing a semantic binding relationship between the connection points and the character sequence based on the spatial coordinates, determining a spatial proximity relationship of the connection points in combination with a terminal arrangement rule, and identifying a short-circuit relationship based on the proximity relationship and the spatial coordinates of the short-circuit symbols; integrating the space coordinates, the line types and the line widths of the connecting lines, the space coordinates of the connecting points, the semantic binding relation and the short-circuit relation, and constructing a topological relation graph; elements and loops in the atlas are classified based on a power industry coding rule base, and are converted into a standardized intermediate file in combination with an engineering modeling rule;

The present disclosure provides a technique for discriminating the type of a charging device in a field where the type of the charging device is unknown. An in-vehicle apparatus according to a first aspect of the present disclosure acquires a captured image from an in-vehicle camera configured to capture an image outside a vehicle, determines a type of charging device presented in the captured image by performing image analysis on the acquired captured image, and outputs information related to a determination result of the charging device.

The invention belongs to the technical field of power transmission lines, and particularly relates to a blind super-resolution reconstruction method for a power transmission line inspection image, which comprises the following steps: firstly, constructing a power transmission line image analysis unit, and standardizing an original power transmission line inspection image LRin to be subjected to blind super-resolution; using an RMC-SR image processing chip to realize blind super-resolution reconstruction of the inspection image of the power transmission line; on the basis, a closed-loop processing flow of prediction, self-inspection, correction and optimization is formed, so that the chip can dynamically balance local and global information, and high-precision and high-robustness blind super-resolution reconstruction of the inspection image of the power transmission line is realized.