87 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.

The invention discloses a damage effect assessment architecture and a visualization method, and relates to the technical field of damage effect assessment, the assessment architecture and the visualization assessment method are included, the assessment architecture comprises a power field simulation module, a strike trace calculation module, a real-time scene rendering module and a damage probability assessment module, the power field simulation module is implemented based on autodyn, and the strike trace calculation module is implemented based on autodyn. Outputting fragment initial feature data at the detonation moment of the warhead; the real-time scene rendering module is provided with an interface for reading fragment initial feature data and storing the fragment initial feature data into an array; the strike trace calculation module calculates the hit result of each fragment according to stored fragment initial feature data in combination with missile-target interaction information described by the real-time scene rendering module, speed attenuation caused by air resistance and the speed of a warhead, and the damage probability evaluation module evaluates the damage probability of each fragment on the basis of damage evaluation criteria of parts and all levels. The damage probability of the whole target is summarized through an analytic hierarchy process. According to the method, the damage effect is rapidly evaluated through data with limited and variable parameters.

The invention discloses a seat-type cognitive function inspection cabin based on visual and auditory assessment and a method thereof, and relates to the technical field of cognitive function assess.The seat-type cognitive function inspection cabin comprises a cabin body, earphones and a display screen, the earphones are used for providing sound scene information of auditory assessment, and the display screen is used for providing picture scene information of visual assessment. A visual platform mechanism is arranged in front of the cabin body. The eye movement state of the user is tested by using the eye tracker, and the visual attention of the user is tested by simulating common scenes in life; the visual spatial layering sense of an object is created by means of the light and shadow direction, the visual size and the visual overlapping effect of the object on a picture, the position of an arm of a user is simulated on the picture by means of a sports bracelet, and the visual perceptibility is evaluated through the interaction function with the object on the picture; the performance of vision in memory is tested by means of cooperation with sound or visual task operation, and the method for testing the visual cognition function is more comprehensive.

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.

The present invention relates to a method for extracting negative terrain in a karst mountain area based on a digital elevation model, comprising the following steps: obtaining the digital elevation model standby data of the target area through data collection and processing; pre-processing the digital elevation model standby data of the target area to establish a fine digital elevation model; determining the negative terrain area through terrain digital analysis methods such as filling depressions, raster calculation, vector calculation, and condition judgment; based on the determined negative terrain area, combining the topological structure relationship of the negative terrain, using closed contour lines to accurately extract the negative terrain boundary; finally, analyzing the negative terrain extraction results through remote sensing image data overlay, and verifying the accuracy of the extraction results by visual evaluation. The present invention identifies and extracts the negative terrain in the karst mountain area based on the digital elevation model, realizes the accurate positioning of the negative terrain in the karst mountain area and the accurate extraction of the boundary, and provides accurate data for the development and utilization of negative terrain engineering in the karst mountain area.

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 invention relates to the technical field of visual equipment management, in particular to a data analysis visual platform for e-commerce operation assessment, which comprises a visual management platform, an information display unit, a risk display unit, a transmission supervision unit, a visual assessment unit, a display expression unit, a fusion management unit and a display management unit. According to the invention, analysis is carried out from two aspects of integrity and fluency of data display of the visual panel, so that visual performance management is carried out on the visual panel according to information feedback conditions, and the stability, integrity and fluency of a data processing process of the visual panel are ensured; information fusion type integrity assessment analysis is carried out in an information feedback and fusion mode to understand the data display integrity condition of e-commerce operation assessment, and the smoothness risk assessment analysis is carried out on the operation performance data from the perspective of smoothness to understand the data display smoothness condition of a visual panel, so that the user experience is improved. And smooth data processing can be carried out reasonably.

A facial skin radiance score is generated based on skin characteristic metrics extracted from a face image. A plurality of parameters are determined from analysis of a facial skin image, each parameter defining one of a plurality of metrics 103. A trained machine learning model determines a facial skin radiance score in the image using the metrics 105. The skin radiance score is outputted to a display. Image analysis may be used to determine skin characteristics such as colour, luminosity, gloss, texture, pore number, wrinkle depth etc. The machine learning model is trained 105 using a dataset comprising for each of a number of images, a visual radiance score, where the score may be based on a visual assessment of an image by a human assessor, and values of skin characteristic parameters extracted from the image. The trained model determines a radiance score based on the parameters 105. A second score may be determined later, for example to indicate the efficacy of a skincare product.

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.

Systems and methods are disclosed for assessing user physiology via eye tracking data. One method includes determining a plurality of visual assessments; determining, for each assessment of the plurality of visual assessments, a data schema, where at least one data schema is associated with more than one assessment of the plurality of visual assessments; storing the determined data schema; receiving user eye tracking data associated with a selected visual assessment of the plurality of visual assessments; determining, of the stored data schema (a), a selected stored data schema associated with the selected visual assessment; categorizing the received eye tracking data based on the selected stored data schema; computing quantitative data based on the categorized data and data related to one or more individuals other than the user; generating a report of user physiological function based on the computed quantitative data; and outputting the report to a web portal.

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.