11 results about "Visual discrimination" patented technology

The present application relates to the field of engineering detection technology, more specifically to a kind of anchor rod support quality detection method based on visual discrimination.Based on the mobile platform of multiple-view color camera and depth camera, the image and pose data of anchor rod area are collected, after image preprocessing, the instance segmentation network with multi-modal feature fusion is used to realize anchor rod segmentation and three-dimensional positioning;Relying on point cloud extraction, the surface parameters such as anchor rod shape, arrangement and tray are extracted, and the deformation of tray and surrounding rock is obtained by sub-pixel DIC technology;Through simulation and test calibration of deformation pre-tightening force model, the anchor rod pre-tightening force is inversed and the parameters are corrected;Relying on the analytic hierarchy process, a multi-dimensional evaluation model is established to complete quality classification, and finally three-dimensional modeling is used to mark defective anchor rod and output detection report.The present application is non-contact and non-destructive testing, with high degree of automation, solving the problems of traditional anchor rod detection sampling damage and large artificial determination error, and can be used for batch quality detection of roadway and tunnel anchor rod support.

The invention discloses a modular intelligent analysis method for the suspension state of a contact network, and relates to the technical field of intelligent operation and maintenance of rail transit. The method comprises the following steps: firstly, carrying out quality preliminary screening on an original image sequence through an image pre-screening module based on illuminance, ambiguity and coverage indexes; and then, the key component accurate positioning module performs high-precision analysis on the effective image by using a customized two-stage cascade deep learning network, and outputs structural data such as component types, bounding boxes, center lines and scale factors. And the multi-modal state discrimination module fuses a visual discrimination result based on a support vector machine and non-visual sensing data corrected by a physical model, and carries out comprehensive determination according to line section type dynamic weighting. According to the method, the problems of poor reliability and insufficient adaptability caused by out-of-control data quality, coarseness of feature extraction and lack of physical modeling in fusion in the prior art are solved, and intelligent analysis of the contact network state with high robustness and high accuracy is realized.

The invention discloses a method for ratio type colorimetric detection of perchlorate. The method comprises the following steps: performing specific surface modification on gold nanoparticles, constructing a methylene blue functionalized gold nanoparticle (MB (at) AuNPs) colorimetric probe, inducing a particle aggregation effect by utilizing specific interaction between perchlorate and MB (at) AuNPs, triggering red shift of a localized surface plasma resonance absorption peak of the probe, and detecting the concentration of the MB (at) AuNPs. And a 523 nm (dispersed state characteristic peak) and 660 nm (aggregation state characteristic peak) dual-wavelength absorption signal is formed. Ratio-type quantitative analysis is realized by calculating the ratio (A660 / A523) of the absorbance of the two wavelengths, and the defect that single-signal detection is easily influenced by environmental fluctuation and system condition change is effectively avoided. Based on the response characteristics, a dual quantitative relation between the ratio of the concentration of the perchlorate to the absorbance and the ratio of the color intensity of an image collected by the smart phone is further established, and an ultraviolet-visible spectrophotometry-smart phone image analysis dual-mode detection system is constructed. Wherein the detection limit of the spectrum detection mode is 2.77 [mu] M, and the detection limit of the smart phone auxiliary detection mode is 5.63 [mu] M. The method is simple and convenient to operate, does not need a large-scale analytical instrument or complex sample pretreatment, has the advantages of good sensitivity, stability and visual discrimination, can quickly realize on-site screening and accurate quantification of perchlorate in water and food samples, and is high in practicability and wide in popularization prospect.

The invention discloses an X-Ray detection image data management system and method for a ceramic wine bottle, and relates to the technical field of image processing, and the management method comprises the following steps: collecting initial image data of the ceramic wine bottle, and carrying out the preprocessing of the initial image data to generate a standardized image; summarizing the standardized images to generate a detection log; performing defect area acquisition on each standardized image in any detection log, and determining a defect type in any defect area; extracting a shooting angle corresponding to X-Ray of any standardized image, generating a matching parameter showing a defect condition, and obtaining an optimal shooting angle of any defect type in different defect areas; when defect detection is carried out on the ceramic wine bottle in real time, an X-Ray shooting path is obtained; setting an optimal shooting angle for X-Ray, analyzing an actual defect condition presented by the optimal shooting angle, and performing abnormality judgment on a defect identification condition; manual visual judgment links are reduced, and subjective errors are avoided.

The invention provides an indicator light control method and system for self-service consignment equipment, a medium and a product. According to the method, a control processing unit firstly obtains the current service operation state of the self-service consignment equipment, collects a static image frame of the environment where the equipment is located, obtains a foreground shielding area through area recognition, and determines other areas as environment reference areas. Then, the control processing unit calculates a gray statistical value of the environment reference area, calculates a minimum visual identification brightness value meeting the human eye visual identification requirement based on the gray statistical value, and converts the minimum visual identification brightness value into a target duty ratio; and finally, the control processing unit generates a first pulse width modulation driving signal or a second pulse width modulation driving signal according to different service operation states, so that the indicating lamp emits light according to the corresponding driving signal. The method relieves the technical problem that the indicating lamp is difficult to adapt to a complex and changeable illumination environment, and realizes adaptive adjustment of the brightness of the indicating lamp along with the environment illumination intensity.

A method for rapidly assessing cerebral visual function based on electroencephalogram (EEG) and fast periodic visual stimulation oddball paradigm includes: presenting several sets of visual stimuli images to a target individual and collecting EEG signals of the target individual while presenting the visual stimuli images, detecting a first and a second signal amplitude of the EEG signals, comparing the first signal amplitude with a third signal amplitude of a healthy individual in a database to determine a visual processing ability score of the target individual, and comparing the second signal amplitude with a fourth signal amplitude of the healthy individual in the database to determine a visual discrimination ability score of the target individual.

This invention provides a multi-source data respiratory state discrimination device and electronic device. The device includes: a sample feature extraction module for determining audio sample features and visual sample features of a target user under different respiratory states; a first comparison module for comparing the currently acquired first audio signal and audio sample features of the target user to obtain an audio confidence score; a second comparison module for comparing the currently acquired first visual signal and visual sample features of the target user to obtain a visual discrimination result; a determination module for obtaining a preliminary recognition result based on the visual discrimination result; and using the audio confidence score to assist in verifying the preliminary recognition result to obtain a target recognition result. This device and electronic device can improve the accuracy of respiratory state discrimination in respiratory training application scenarios.

The application provides a visual encoder training method and a face forgery detection and explanation method. The training method comprises the following steps: obtaining a face image, a corresponding authenticity label and an explanation text, and sequentially obtaining an image feature sequence by dividing the face image into blocks; initializing a learnable prompt vector for classification, general forgery and explanation perception, and splicing the image feature sequence into a composite input sequence; inputting the composite input sequence into a visual encoder to extract classification features, general pattern features and explanation features; using a frozen text encoder to extract semantic embeddings corresponding to the authenticity label and the explanation text; constructing a comprehensive loss function, updating the learnable prompt vector based on the comprehensive loss function, and obtaining a trained visual encoder. The application breaks the modal gap between the bottom-level visual discrimination features and the high-level language reasoning, and realizes the pre-alignment of the explanation semantics in the early stage of visual feature extraction.

The disclosure relates to methods and systems related to spatial encoding / decoding of features. The provided orthogonal cleavage ligation sequencing (OCLS) system encodes two or more orthogonal recognition sites for a restriction enzyme, such as an IIS-type enzyme, to decode a visual barcode. The decoding employs specific orthogonal ligation of differentially tagged probes, which enables visual discrimination of barcodes at each feature. The process can be cyclically repeated and carried out in parallel.

The invention relates to the technical field of image feature extraction and matching, in particular to an elevator fault accident recognition method and system based on image recognition, and the method comprises the following steps: collecting an elevator image positioning slide rail structure area, extracting an edge line to generate a closed graph, analyzing a door body texture extension mode, calibrating a chain driving area, and tracking a texture moving direction. Door body boundary structure changes are compared, and finally an elevator fault feature matching image recognition result is output. According to the invention, by establishing a linkage mechanism of image boundary extraction, texture direction analysis and trajectory tracking, spatial correlation analysis among a slide rail, a door body and a chain structure is realized, the image recognition precision of door body tiny deformation and chain motion abnormity is enhanced, and potential fault features are extracted based on difference comparison and density comparison. The structure change tracking capability and the time sequence integrity of image expression are improved, the visual judgment capability of complex structure abnormity is enhanced, and the application of image recognition in elevator operation monitoring is expanded.

Visual effects presented in at least an ultra-far peripheral horizontal static field of the eyes of a user improve or enhance brain function, homeostasis and performance. The visual effects are non-contextual with respect to content appearing in a central field of vision, and do not constitute a cursor, a user input field or other user interface element. The ultra-far peripheral horizontal static field extends rearwardly from a fovea centralis of the eye in a straight ahead static gaze direction to 100 degrees or more rearwardly from the fovea centralis. Such can be used to treat or improve: traumatic brain injury; acuity, focus, visual convergence, visual sustainability, visual processing, visual field, retinal health, brain field health, visual discrimination, visual spatial memory, ocular motility, pursuits and saccades, hold fixation, convergence / divergence, eye alignment, depth perception, Phorias, occipital cortex, blink rate, pain, migraine headaches, and / or balance of the user or human subject.