67 results about "Visual assessment" patented technology

The invention provides an enterprise credit risk assessment method and system based on public text data, and the method comprises the steps: obtaining public text data corresponding to a plurality of data sources, carrying out the text preprocessing of the public text data, and generating a structured enterprise text data set; performing enterprise feature extraction according to the preprocessed public text data to obtain a feature set associated with the target enterprise; inputting the feature set into a pre-trained enterprise credit risk assessment model to obtain a credit classification result of the target enterprise; determining a credit risk level of the target enterprise according to a classification label corresponding to the credit classification result; and based on the credit risk level and the classification weight parameter, generating a credit risk assessment parameter of the target enterprise, and outputting a visual assessment report according to the credit risk assessment parameter. According to the invention, the accuracy of enterprise credit risk assessment can be improved.

The invention discloses a fresh concrete vibration apparent quality identification method based on a convolutional neural network, and relates to the technical field of concrete apparent quality identification, and the method comprises the steps: obtaining vibration track data, vibration frequency parameters and a concrete surface texture image of vibration equipment in an operation process, and generating an original data set; performing model training optimization based on the initial convolutional neural network model to obtain a depth feature extraction network adaptive to the vibration process; analyzing time sequence detection data in the vibration process, extracting vibration energy density distribution characteristics, aggregate distribution uniformity indexes and slurry wrapping degree parameters, and constructing a vibration quality correlation characteristic matrix; in the depth feature extraction network, the vibration quality correlation feature matrix and vibration sensing data collected in real time are fused, and a quality evaluation system is established; according to the quality evaluation system, the vibration operation process is detected, and a visual evaluation result is obtained; the fresh concrete vibration apparent quality identification method provided by the invention is more intelligent and accurate.

The invention provides a method and a system for restoring a bamboo-strip character image based on multi-granularity feature guidance, and innovatively designs a coarse-fine two-stage restoration network and end-to-end multi-task loss joint training aiming at the problems of structure-texture confusion, non-uniform degradation, low contrast ratio and the like of the bamboo-strip image. In the coarse repair stage, a font texture and structure double-reconstruction sub-network is used for separating semantics from a source; in the fine repairing stage, multi-scale dynamic range distribution diagram self-attention (Mdma) is provided, pixels are dynamically classified according to degradation intensity, and long-short range dependence joint modeling is achieved; an adaptive mask is designed to sense pixel shuffling downsampling (Ampd), sampling is guided by mask confidence, damage position information is kept, and artifacts are inhibited. Five mainstream methods are compared on a homemade 313 bamboo strip single word data set, the PSNR, the SSIM and the FID are optimal under 0-60% irregular masks, visual evaluation of real missing samples is natural in texture, the structure is complete, and the readability of the bamboo strip characters and the subsequent recognition accuracy are effectively improved.

According to one embodiment, a method, computer system, and computer program product for performing a close-range inspection on a façade is provided. The present invention may include conducting a close-range inspection of inspection sites using a camera-equipped drone, wherein the close-range inspection comprises a close visual inspection and a tactile assessment; determining, by the visual AI engine, a visual building quality of the façade at the inspection sites based on images from the close visual assessment of the inspection sites; determining, by the acoustic AI engine, an acoustic building quality of the façade at the inspection sites based on impact sounds from the tactile assessment of the inspection sites; generating a digital representation of the façade based on the visual building quality and the acoustic building quality.

A patient's contact lens fitting profile can be performed using an electronic device in a virtual environment. The electronic device can execute a visual assessment application and display visual content continuously for an extended duration of time in the 3D virtual environment. The visual content can be displayed with predefined display parameters associated with contact lens fitting. The electronic device can obtain a stream of sensor data measured by the one or more sensors and apply at least a contact lens fitting model to generate a contact lens fitting profile for a user associated with the electronic device based on the stream of sensor data.

A system obtains, by a video evaluator, a video clip generated by a video generator of the avatar generator. The system obtains, by the video evaluator, video features of a target person that the avatar is representing. The system compares the video clip with the video features of the target person using a set of video metrics. The system generates a video evaluation score for the video clip based on a comparison of the video clip and the video features.

A vision test can be performed based on real-time audio instructions in a virtual environment. An electronic device, such as a head-mounted display, can execute a visual assessment application, including generating a user interface corresponding to a three-dimensional virtual environment. The electronic device can display a plurality of visual stimuli in the user interface, and each visual stimulus can be displayed in duplication with respect to a respective target depth. The electronic device can receive one or more user responses, and each user response can indicate whether a user perceives a corresponding visual stimulus in duplication at the respective target depth. Based on the one or more user responses, the electronic device can determine a depth perception profile of the user, and the depth perception profile can include a plurality of depth perception levels corresponding to a plurality of target depths.

This invention relates to the field of flight vision assessment technology, and discloses a pilot change blindness assessment system and method based on deep learning. The system includes: a data acquisition module, which acquires and aligns cockpit display video sequences and pilot eye movement trajectory sequences to obtain a set of semantically relevant regions; a change anchor point extraction module, which extracts image frames before and after the change and generates a change anchor point mask; a change region determination module, which determines a set of change target regions and a set of change neighborhoods; a gaze sequence construction module, which determines event-level gaze sequences and change contact ratios; a closed-loop feature determination module, which determines change registration closed-loop features; a mismatch determination module, which determines eye movement registration features, image-side change features, and change registration mismatch; and a blindness assessment output module, which outputs a single-event change blindness assessment value, a change blindness level, and an overall change blindness assessment value for the entire flight mission. This invention achieves automated and quantitative assessment of the pilot's change blindness state.

The present application relates to the technical field of cattle health assessment, and discloses a cattle health assessment method based on a light-weighted Transformer model, comprising the following steps: step 1, synchronously collecting a visible light video stream and an infrared thermal imaging data stream of a target cattle, and processing the visible light video stream to identify, track and obtain a continuous posture skeleton point coordinate sequence of the target cattle; step 2, based on the continuous posture skeleton point coordinate sequence, the visible light video stream and the infrared thermal imaging data stream, extracting and generating a posture feature sequence, a visual feature sequence and a temperature feature sequence. The evaluation technical scheme based on multi-modal data fusion and automatic analysis achieves the technical effect of all-weather, standardized and uninterrupted monitoring of the health status of the cattle, and compared with the technical scheme of relying on manual experience and visual assessment in the prior art, the present application solves the problems of strong subjectivity of the evaluation results and inability to timely capture subtle health changes.

This invention relates to the field of data visualization and integration technology, specifically to a method and system for visually evaluating rehabilitation services. The method includes the following steps: acquiring and standardizing multi-dimensional indicator data; establishing a normalized matrix mapping parameter; and generating a set of visual evaluation charts for rehabilitation services. In this invention, by constructing a unified numbering set covering multi-dimensional indicators, effective organization and standardized management of data sources are achieved. Data fusion compatibility and accuracy are improved through field similarity comparison and unit conversion. Normalization calculations and grade grouping operations for values ​​such as service usage, resource allocation, job distribution, and fiscal expenditure ensure that various indicators are compared under a unified standard. Visual mapping of core parameters such as resource ratio, efficiency ratio, and coverage ratio is used. Interactive components and layer switching enhance the dynamic response and multi-view switching capabilities of the graphical interface, solving the problems of insufficient structure, single result presentation format, and lack of real-time performance in traditional evaluations.

The invention discloses a Unity-based cable accessory installation training system and a construction method thereof. The system comprises a basic knowledge learning module, a professional knowledge learning module, a training examination module, an examination evaluation module and the like. The basic knowledge learning module provides content such as identification graphs related to cable accessory installation, electrical instruments, tool use and safety specifications and the like, and teaching is assisted in a visual mode of images, texts, voice and structures. The professional knowledge learning module is used for displaying key installation processes and process standards in the forms of three-dimensional animation, video explanation, structure explosion diagram and the like; the training examination module is provided with basic examination and practical operation examination, and supports question bank import, interactive answering and action monitoring; and the assessment and evaluation module performs statistical analysis on assessment data and generates visual assessment reports such as a radar map and the like. According to the invention, the learning efficiency of trainees can be improved, the training cost is reduced, the training safety and flexibility are enhanced, and standardization, intelligence and high efficiency of cable accessory installation skill training and assessment are realized.

An eye exam can be performed using an electronic device in a virtual environment to determine vision corrective measures based on vision correction simulation. The electronic device can execute a visual assessment application for displaying a user interface to create a 3D virtual environment corresponding to a field of view of a user associated with the electronic device. The electronic device can render a visual pattern in the field of view and apply a vision correction filter to the visual pattern. The electronic device can obtain a set of user response data captured by a plurality of sensors in response to the visual pattern and determine whether the set of user response data satisfy a response quality criterion. Filter parameters of the vision correction filter can be dynamically adjusted based on the set of user response data until the set of user response data satisfy the response quality criterion.

The invention discloses a microneedle patch containing alpha-naphthylamine carbon dots and application of the microneedle patch to detection of nitrite through colorimetric-fluorescence dual-mode signals, and belongs to the technical field of analytical chemistry. Alpha-naphthylamine is used as a carbon source and is prepared into the blue fluorescence alpha-naphthylamine carbon dots, the carbon dots have good color and fluorescence changes, and the blue fluorescence alpha-naphthylamine carbon dots are used as a color developing agent to be prepared into the microneedle patch so as to realize NO2-colorimetric-fluorescence dual-sensing application in food. The microneedle patch provided by the invention is used for carrying out nondestructive testing on a sample, whether nitrite exceeds the standard or not can be preliminarily judged through naked eyes, a colorimetric-fluorescence dual-mode signal is read through mobile phone photographing to obtain photographing data, and the content of nitrite in the sample can be accurately quantified after further processing; therefore, rapid and simple detection of nitrite in food is realized. Therefore, the invention has important application value and wide application prospect.

The invention relates to the technical field of data visualization and integration, in particular to a rehabilitation service visual evaluation method and system, and the method comprises the following steps: obtaining multi-dimensional index collection data, carrying out the standardization processing, building a normalized matrix mapping parameter, and generating a rehabilitation service visual evaluation graph group. According to the method, the unified number set covering the multi-dimensional indexes is constructed, effective organization and standardized management of data sources are achieved, and data fusion compatibility and accuracy are improved through field similarity comparison and unit conversion; through normalization calculation and grade grouping operation of values such as service use, resource configuration, post distribution and financial expenditure, it is ensured that various indexes are compared under a unified standard, and through visual mapping of core parameters such as a resource ratio, an efficiency ratio and a coverage ratio, the efficiency ratio and the coverage ratio can be obtained. The dynamic response and multi-view switching capability of the graphical interface is enhanced through the interactive component and layer switching, and the problems of insufficient structuralization, single result expression form and lack of real-time performance in traditional evaluation are solved.

The application discloses a machine vision-based finger replantation postoperative flap evaluation intelligent chip and method, relates to the technical field of machine vision, and has the following steps: collecting static visual images and dynamic microcirculation visual images of a finger replantation postoperative flap under standard visual collection conditions to form a flap visual evaluation set, screening effective images in the flap visual evaluation set as flap to-be-evaluated images; obtaining epidermal color and luster features and subcutaneous blood vessel texture features of the flap in the flap to-be-evaluated images, judging whether the static and dynamic flap to-be-evaluated images need to be fused according to the change trend of the epidermal color and luster features and the distribution form of the subcutaneous blood vessel texture features, and the effect is that the static appearance and the dynamic microcirculation dual features of the flap are effectively considered, the problem that a single modal image is difficult to comprehensively reflect the real blood supply state of the flap is solved, and a solid data foundation is laid for subsequent accurate evaluation.

A visualized color difference data grading management method and apparatus, a device, and a medium. The method comprises: converting respective RGB values of a plurality of peripheral adjacent colors of a standard color to calculate color differences between the peripheral adjacent colors and the standard color, separately; performing color difference grading on the peripheral adjacent colors on the basis of the color differences; and screening for a target color difference grade close to the color difference of a batch color and a target reference color sample having the smallest color difference value from the batch color in the target color difference grade from a plurality of reference color samples respectively corresponding to different color difference grades, and then performing screen display, so that a user performs visual assessment on the basis of an output display result. The effect of providing a reference color sample having a full color difference grade for any color is achieved, the objective of digital color difference visualization is achieved, and the problems of high costs of visual management and insufficient reliability of digital management in color difference management are solved.

A vision test can be implemented in a virtual environment using an electronic device, such as a head-mounted display. The device can execute a visual assessment application and generate a user interface corresponding to a three-dimensional (3D) virtual environment. A plurality of visual stimuli can be displayed at a first acuity level in the 3D virtual environment and can have a plurality of first shadings. The electronic device can obtain one or more user responses and determine a first contrast perception level corresponding to the first acuity level. The electronic device can also determine a shading range for a second acuity level based on the first contrast perception level. The device can further determine a plurality of second shadings in the shading range. The plurality of visual stimuli can be displayed at a second acuity level in the 3D virtual environment with the plurality of second shadings.

The invention discloses a traditional Chinese medicine theory-based health state visual evaluation method and interaction system. The system comprises a special physical interaction device and a matched evaluation rule set. The device adopts a two-dimensional matrix structure that the upper frame double beams are used for evaluating yin and yang, and the lower frame five beams are used for evaluating five internal organs / physique. The method comprises the steps that a user maps symptom feelings into toggles of specific abacus beads of a device according to a rule set; scoring according to the bead shifting state and rules and synthesizing a health score; and finally, an intuitive, structured and quantifiable evaluation result of the health state is obtained through the bead distribution pattern and the quantitative score. According to the method, the abstract traditional Chinese medicine theory is converted into an operable and interactive entity process, interestingness, visualization and precision of health self-test are realized, and the method has health assessment, education science popularization and culture inheritance values.

A user's visual hallucination condition can be assessed in a virtual environment. An electronic device, such as a head-mounted display, can execute a visual assessment application, including displaying a user interface to create a 3D virtual environment. While displaying a sequence of visual hallucination patterns, the electronic device can obtain a stream of sensor data from one or more sensors. The electronic device can determine a plurality of user responses to the sequence of visual hallucination patterns based on the stream of sensor data and can further determine a type and a severity level of a first visual hallucination condition of a user associated with the electronic device.

A user's visual endurance can be assessed in a virtual environment. An electronic device, such as a head-mounted display, can execute a visual assessment application and display a user interface to create a 3D virtual environment. A body of text can be displayed on the user interface for an extended duration of time. The electronic device can obtain a sequence of eye images, and each eye image can include a respective infrared image of a region of interest (ROI) corresponding to at least one eye. Based on the sequence of eye images, the electronic device can determine an eye endurance level of the at least one eye of a user associated with the electronic device.

The invention provides a model training method and device, a visual evaluation method, an aircraft and a medium, and relates to the technical field of image processing, and the method comprises the steps: extracting global contrast, marginal definition, texture features and dust concentration related to a sand blindness environment through a sample visual image, and obtaining corresponding sample sand blindness visual features; and obtaining a target training sample set based on the sample sand blindness visual features and the corresponding label information, and training the initial visual evaluation model based on the target training sample set to obtain a target visual evaluation model. The initial visual evaluation model can learn enough information associated with the sand blindness environment through the sand blindness visual features, and learn the relevance between the sand blindness visual features and the subjective evaluation of the pilot, so that the target visual evaluation model can accurately output a visual evaluation result conforming to the real feeling of the pilot. The scientificity and rationality of visual evaluation in the sand blind environment can be improved.

The invention discloses a document semantic restoration and stroke reconstruction method, system and device based on a condition control diffusion architecture and a medium, and belongs to the technical field of document image restoration, and the method comprises the following steps: extracting a visual structure condition, a semantic condition and a degradation condition of a degraded document image; respectively inputting the three types of conditions into corresponding encoders to obtain structure encoding features, semantic encoding features and degradation encoding features; inputting the three types of coding features into a diffusion model, respectively injecting the coding features at different network hierarchies through a layered injection mechanism, dynamically adjusting the weight according to the denoising progress, and generating a reconstructed image; performing coarse-grained restoration, fine-grained restoration and quality refining on the reconstructed image in sequence; semantic verification and visual evaluation are carried out on the repaired image, and a substandard region is positioned for key optimization; and outputting the optimized document image. According to the method, semantic understanding and stroke reconstruction are synchronously carried out through a multi-modal condition control mechanism and a layered injection strategy.

This invention discloses a multi-parameter intelligent control method and system for the growth environment of sprouts, relating to the field of intelligent agricultural cultivation technology. The method is applied to the cultivation module and includes: collecting environmental data and sprout images through sensors and a vision module; determining the growth stage and calculating a health score based on the image data; inputting the environmental data, growth stage, and health score into a prediction model to obtain growth prediction results; dynamically generating a control strategy based on the growth stage, health score, and prediction results, prioritizing the activation of a correction scheme when the health score is below a threshold; and converting the control strategy into control commands to drive the execution layer devices. This invention, by introducing a visual assessment and health measurement mechanism, solves the problem in existing technologies where environmental control is disconnected from the actual physiological state of the crop and cannot actively intervene in growth abnormalities, achieving an intelligent upgrade from "environmental control" to "crop state-driven control."

A slope estimator training apparatus has an apparatus body with a top surface having one or more sloped surfaces. A center segment extends across an apparatus periphery of the apparatus body and partitions the apparatus body into a first section and a second section. Each of the first and second section have a sloped surface. The slope estimator training apparatus further includes slope markings disposed on the top surface at each of the first section and the second section. The slope markings include a range of values having both a descending sequence and an ascending sequence. The descending sequence is disposed on the first section and the ascending sequence disposed on the second section. The slope estimator training apparatus allows a player to train their skill in estimating steepness of a slope with a feel of their feet instead of or in addition to making a visual assessment.

An eye exam can be performed using an electronic device in a virtual environment to evaluate vision changes of a patient. The electronic device can execute a visual assessment application and display a user interface to create a 3D virtual environment. A predefined video clip can be displayed in the 3D virtual environment and include a plurality of visual sessions corresponding to a sequence of vision tests. While the predefined video clip is played, the electronic device can obtain a stream of sensor data measured by the one or more sensors and determine a plurality of first response parameters to the sequence of vision tests based on the stream of sensor data.

The invention discloses an evaluation method and system for determining a safe navigation channel based on a non-structural grid digital flow field, and the method comprises the steps: building a non-structural grid digital flow field model based on historical topographic mapping and hydrological data; generating real-time flow field data based on the non-structural grid digital flow field; processing the flow field data of the non-structural grid digital flow field model into a non-structural triangular grid with three-dimensional characteristics; generating flow field data and importing the flow field data into a Cesium platform for identification; determining effective water flow indexes and weights thereof in the to-be-evaluated channel; establishing a navigation safety index evaluation model based on each water flow index and the weight thereof; and carrying out navigation safety assessment on the to-be-assessed channel, and outputting a visual assessment result. The method has the remarkable effects that a channel navigation evaluation system containing five core indexes including channel gradient, transverse flow velocity, flow state characteristics and the like is constructed, and dynamic analysis and navigation safety quantitative evaluation of complex channel water flow characteristics are realized.

A vision test can be performed for assessing eye depth perception in a virtual environment. An electronic device, such as a head-mounted display, can execute a visual assessment application, including generating a user interface corresponding to a three-dimensional virtual environment. The electronic device can identify a first line of sight of a user associated with the electronic device and select a plurality of positions on the first line of sight. For example, each position can be located in a respective position range. For each position, an object can be displayed at a plurality of locations within the respective position range. The electronic device can obtain a plurality of user responses to the displaying of the object for each position and determine a depth perception level of the user associated with the first line of sight based on the plurality of user responses.

A user's eye convergence condition can be assessed in a virtual environment. An electronic device, such as a head-mounted display, can execute a visual assessment application, including displaying a user interface to create a 3D virtual environment, and can display a sequence of visual stimuli on the user interface. The sequence of visual stimuli can correspond to a plurality of stimulus positions distributed in the 3D virtual environment. The electronic device can obtain a sequence of eye images of two eyes of a user associated with the electronic device and determine a sequence of eye focal positions of the eyes in the sequence of eye images. A convergence performance indicator can be determined for the two eyes of the user based on at least the sequence of eye focal positions.

The application discloses a kind of underwater man-machine shared teleoperation control methods based on bilateral trust mechanism.Method includes: master end force feedback device teleoperation control underwater mechanical arm moves, so that underwater mechanical arm end underwater hand-eye camera identifies underwater target, first, the master end evaluation model of master end force feedback device is established to obtain master end trust factor;Establish the visual evaluation model of underwater hand-eye camera, and finally obtain visual trust factor by density-based visual measurement outlier rejection method;Master end trust factor, visual trust factor and each control instruction are collectively processed by man-machine shared teleoperation method based on fuzzy logic, and the desired control instruction of underwater mechanical arm is obtained to carry out man-machine shared teleoperation control.The application can effectively eliminate the outlier of visual identification, ensure the reliability of visual servo system, introduce visual auxiliary system, can further reduce the burden of operator, improve the task success rate and operation efficiency of teleoperation system.

The invention discloses a visual function intelligent evaluation system and method applied to airduty ophthalmology, and relates to the field of visual function detection.The visual function intelligent evaluation system comprises the steps that visual data of normal vision and visual fluctuation are collected, visual data parameters are extracted through comparison, and visual evaluation data are calculated through standardization and weighting; dividing a simulated flight environment according to the light brightness, collecting parameters in the environment, performing data cleaning on the parameters, and then calculating corresponding visual evaluation data; the method comprises the following steps: associating a brightness value and a brightness change rate with visual evaluation data, calculating a joint influence function, constructing a multi-dimensional influence function library, matching the influence function library by using a current simulated flight environment brightness value and the brightness change rate, correcting the visual evaluation data, finally extracting a visual fluctuation parameter, setting a threshold interval, and performing visual function judgment. And intelligent evaluation of the visual function of the aircrew is realized.