9 results about "Visual assessment" patented technology

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.

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.

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."

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 present application relates to the technical field of electrolytic refining of copper, and particularly discloses a copper mold working condition visual evaluation method and system for refining casting. The copper mold working condition visual evaluation method for refining casting comprises the following steps: collecting state images of a copper mold during a barium sulfate treatment process; analyzing the state images to evaluate the working condition of the copper mold; and outputting decision information for guiding production based on the evaluation results. The present application realizes automatic and non-contact visual detection of the working condition of the copper mold, replaces the traditional operation mode relying on manual visual inspection, effectively avoids the safety and occupational health risks of personnel in a high-temperature and high-dust environment, improves the detection efficiency and consistency, and provides a reliable basis for intelligent control of the casting process.

An Optico-dynamic Light Tunnel is provided. This apparatus provides visual assessment of the entire pathway of a lens field. This apparatus may include linear strands of light that can be created and their propagation pathways visualized. This apparatus may stratify light strands to create an optical tunnel. This apparatus may apply this optical tunnel to lens objects to dynamically analyze optical properties over the entire lens field pathway and in multiple dimensions.

The application discloses a deep learning and LLM combined engineering material intelligent auditing method and system, and relates to the technical field of engineering construction material digitization. The method comprises the following steps: signature region identification and extraction are performed on an engineering material document image to be audited to obtain a signature region image to be audited. A signature feature encoder is used to process the signature region image to be audited to obtain a signature similarity coefficient and a visual evaluation confidence. The adaptive analysis depth parameters of a large language model are configured based on the visual evaluation confidence, and signature semantic verification is performed in combination with context information to obtain a signature semantic consistency coefficient. The signature similarity coefficient and the signature semantic consistency coefficient are fused to obtain a signature confidence by setting adaptive visual weights and adaptive semantic weights, and auditing and ruling are completed. The application realizes adaptive deep cooperation of visual evidence and semantic logic, and effectively solves the problems of accuracy, robustness and explainability of engineering material signature automatic auditing under low samples and complex backgrounds.

This invention relates to the field of coal mine strata control and disaster prevention technology, and discloses a fracture network assessment method based on borehole inspection and surface fracturing data. First, based on the spatial distance from the underground roadway to the surface fracturing well, the roof is divided into a baseline set region and an assessment set region, and steep-angle cross-strata inspection boreholes are deployed in each region. Imaging instruments are used to acquire borehole wall images and record the probe obstruction depth. A differentiated identification logic is executed: the geostress-dominant characteristics of the baseline region are extracted and eliminated as background noise, thereby accurately identifying the hydraulic fracturing-dominant characteristics of the assessment region. Finally, a local profile analysis coordinate system is established, and based on the spatial distribution of fracturing features and tectonic blocking boundaries, the maximum sweep height and effective sweep length of the fracture network are quantitatively inverted. This invention effectively eliminates interference from primary fractures, achieving accurate quantitative and visual assessment of the three-dimensional morphology of the fracture network in deep, hard roofs.