Aramid paper honeycomb gluing defect detection method
A technology of defect detection and aramid paper, applied in the field of visual inspection, can solve problems such as no uniform pattern, poor imaging, waste of raw materials, etc., and achieve the effect of increasing the number of samples, reducing pressure, and strong generalization ability
Pending Publication Date: 2020-06-05
CHINA PRECISION ENG INST FOR AIRCRAFT IND AVIC
3 Cites 2 Cited by
AI-Extracted Technical Summary
Problems solved by technology
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreMethod used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreAbstract
According to the aramid paper honeycomb gluing defect detection method provided by the invention, aiming at various defect problems generated in the aramid paper honeycomb gluing production process, adeep network is designed, defect characteristics are automatically extracted, and pixel-level positioning is realized; for the problem that samples are difficult to obtain, a large number of samplesare automatically generated through an image enhancement algorithm, and therefore dependence of machine learning on the number of samples is reduced. The detection scheme provided by the invention solves the problem of simultaneous detection of defects of different sizes and different length-width ratios, is accurate in positioning and high in detection efficiency, and can meet the requirement ofautomatic detection of aramid paper honeycomb gluing defects.
Application Domain
Technology Topic
Image
Examples
- Experimental program(1)
Example Embodiment
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more PUM


Description & Claims & Application Information
We can also present the details of the Description, Claims and Application information to help users get a comprehensive understanding of the technical details of the patent, such as background art, summary of invention, brief description of drawings, description of embodiments, and other original content. On the other hand, users can also determine the specific scope of protection of the technology through the list of claims; as well as understand the changes in the life cycle of the technology with the presentation of the patent timeline. Login to view more.
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more Similar technology patents
Road center line and double-line extraction method based on convolutional neural network regression
ActiveCN110348383AStrong generalization abilityGood generalization abilityCharacter and pattern recognitionHigh resolutionConvolutional neural network
Owner:CHONGQING GEOMATICS & REMOTE SENSING CENT +1
Synchronous tracking method of actually measured revolving speed and calculated revolving speed by generator excitation device
ActiveCN104407516AShort training timeStrong generalization abilityAdaptive controlSpeed measurementElectric generator
Owner:BEIJING SIFANG JIBAO AUTOMATION
Radar human body motion state classification algorithm and system based on model fusion
PendingCN110852158AStrong fitting abilityStrong generalization abilityCharacter and pattern recognitionEngineeringHuman body
Owner:XIDIAN UNIV
Face recognition system and method
InactiveCN111582224AStrong generalization abilityGood robustnessCharacter and pattern recognitionIndividual entry/exit registersMachine learningDeep neural networks
Owner:湖南视觉伟业智能科技有限公司
Robust image watermark embedding and extracting method and system based on deep learning
PendingCN113222800AGood robustnessStrong generalization abilityImage watermarkingNeural architecturesWatermark embeddingTest set
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +2
Classification and recommendation of technical efficacy words
- Strong generalization ability
- Increase sample size
Deep learning-based image high-density population counting method
PendingCN107301387AStrong generalization abilityGood robustnessImage enhancementImage analysisPopulationNetwork model
Owner:SOUTH CHINA UNIV OF TECH
Method for screening characteristic wavelength of near infrared spectrum features based on heredity kernel partial least square method
InactiveCN102305772AImprove predictive performanceStrong generalization abilityColor/spectral properties measurementsGenetics algorithmsLeast squares
Owner:JIANGSU UNIV
Unsupervised cross-domain pedestrian re-recognition method based on clustering
InactiveCN110942025AImprove cross-domain performanceStrong generalization abilityCharacter and pattern recognitionMachine learningLabel free
Owner:HOHAI UNIV
Face living body detection method based on transfer learning
ActiveCN109583342AStrong generalization abilityExpress image information wellSpoof detectionTime informationTest set
Owner:CHONGQING UNIV OF POSTS & TELECOMM