76 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 provides a VR-based dynamic visual function training method and device, a medium, a program product and a terminal. An initial training task type and configuration parameters are generated according to a visual evaluation result of a patient, a sighting mark and a stimulation signal for visual function training are constructed, and training is executed through a VR unit. In the training process, feedback data of a patient is collected in real time, a real-time evaluation result is analyzed and generated, task types, configuration parameters and sighting marks are dynamically adjusted, and new stimulation signals are generated to continue training, so that dynamic optimization of training content is achieved. Through real-time evaluation and dynamic adjustment, the problem that the training content is not matched with the requirements of the patient is solved, the defects of a traditional method in the aspects of individuation and adaptability are overcome, the training effect is remarkably improved, the requirements of the patient are better met, the training time is shortened, and the efficiency is improved. The device is especially suitable for rehabilitation training of various visual function defects, and has remarkable advantages in the aspect of dynamic visual function recovery.

The present application relates to the technical field of big data processing, and discloses a risk behavior identification method and apparatus, a storage medium, and a computer device. The method comprises: acquiring access traffic data of sensitive data, and on the basis of service categories to which access users corresponding to the access traffic data belong, classifying the access traffic data to obtain sensitive data access data of a plurality of service categories; on the basis of the sensitive data access data of each service category, updating model parameters of a risk assessment model of the service category; by means of the risk assessment model of the service category and on the basis of the sensitive data access data of the service category, calculating a risk behavior assessment value of each access user under the service category; and on the basis of the risk behavior assessment value of each access user under the service category, obtaining a risk behavior identification result of each access user. The method can improve the adaptability, the practicability and the assessment accuracy of risk behavior assessment in service scenarios, and provides visual assessment results.

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.

Use of a language model to automatically perform visual assessment of quality of an item being fulfilled by a picker. The online system receives an image of the item and identifies a set of potential problems associated with the item. The online system generates a plurality of prompts for input into the language model including the image and one or more questions each corresponding to a respective potential problem of the set potential problems. The online system requests the language model to generate, based on the plurality of prompts, a feedback response for each potential problem. The online system generates an aggregated output by aggregating the feedback response for each potential problem, and based on the aggregated output, a second message that identifies one or more relevant problems associated with the item. The online system causes a device of the picker to display the second message.

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.

Rhamnolipids and / or sophorolipids can be used in coating compositions for improvement of the speed of wetting of pulverulent formulation constituents in such compositions, which leads to a reduction in dust nuisance during incorporation thereof and to the increase in occupational safety in the production of coating compositions. Rhamnolipids and / or sophorolipids can also be used in coating compositions for obtaining improved homogeneous colour appearance of the dry paint film with regard to difference in hue, ascertained from the delta E and visual assessment.

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.

Disclosed herein are a method for assigning at least one human-perceived attribute to a sample coating based on a visual evaluation of the sample coating with respect to a reference coating, and respective apparatuses, or computer elements. Further disclosed herein are methods and respective apparatuses, or computer elements for assigning at least one human-perceived attribute to a sample coating based on a visual evaluation of the sample coating with respect to a reference coating by displaying images of a reference coating modified with respect to the appearance, such as the darkness and / or lightness and / or color and / or texture and / or the gloss and / or the clearcoat appearance, within a user interface.

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.