MX2020011927A - Sistema y metodo para detectar defectos en elementos digitalizados. - Google Patents

Sistema y metodo para detectar defectos en elementos digitalizados.

Info

Publication number
MX2020011927A
MX2020011927A MX2020011927A MX2020011927A MX2020011927A MX 2020011927 A MX2020011927 A MX 2020011927A MX 2020011927 A MX2020011927 A MX 2020011927A MX 2020011927 A MX2020011927 A MX 2020011927A MX 2020011927 A MX2020011927 A MX 2020011927A
Authority
MX
Mexico
Prior art keywords
detecting defects
items
imaged items
defects
imaged
Prior art date
Application number
MX2020011927A
Other languages
English (en)
Inventor
Yonatan Hyatt
Ran Ginsburg
Gil Zohav
Dagan Eshar
Original Assignee
Inspekto A M V Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Inspekto A M V Ltd filed Critical Inspekto A M V Ltd
Publication of MX2020011927A publication Critical patent/MX2020011927A/es

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058—Kind of property studied
    • G01N2203/006—Crack, flaws, fracture or rupture
    • G01N2203/0062—Crack or flaws
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/06—Recognition of objects for industrial automation

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Computational Linguistics (AREA)
  • Databases & Information Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
  • Photoreceptors In Electrophotography (AREA)

Abstract

Las modalidades de la invención proporcionan un sistema de detección basado en aprendizaje automático, en el que pueden detectarse defectos incluso si el sistema no fue entrenado para estos defectos e incluso en elementos que no se usaron para entrenar al sistema, ofreciendo de esta manera un sistema de detección inherentemente flexible.
MX2020011927A 2018-05-10 2019-05-10 Sistema y metodo para detectar defectos en elementos digitalizados. MX2020011927A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201862669403P 2018-05-10 2018-05-10
IL259285A IL259285B2 (en) 2018-05-10 2018-05-10 A system and method for detecting defects on objects in an image
PCT/IL2019/050532 WO2019215746A1 (en) 2018-05-10 2019-05-10 System and method for detecting defects on imaged items

Publications (1)

Publication Number Publication Date
MX2020011927A true MX2020011927A (es) 2021-01-29

Family

ID=66624797

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2020011927A MX2020011927A (es) 2018-05-10 2019-05-10 Sistema y metodo para detectar defectos en elementos digitalizados.

Country Status (10)

Country Link
US (1) US11982628B2 (es)
EP (1) EP3791336A4 (es)
JP (1) JP2021523348A (es)
KR (1) KR20210008352A (es)
CN (1) CN112088387B (es)
BR (1) BR112020022645A2 (es)
CA (1) CA3097316A1 (es)
IL (1) IL259285B2 (es)
MX (1) MX2020011927A (es)
WO (1) WO2019215746A1 (es)

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JP7281041B2 (ja) * 2018-11-29 2023-05-25 京セラドキュメントソリューションズ株式会社 種類判別システム
CN113012088A (zh) * 2019-12-03 2021-06-22 浙江大搜车软件技术有限公司 一种电路板故障检测及孪生网络的训练方法、装置和设备
US11315238B2 (en) * 2019-12-12 2022-04-26 Innolux Corporation Method for manufacturing a product
US11937019B2 (en) 2021-06-07 2024-03-19 Elementary Robotics, Inc. Intelligent quality assurance and inspection device having multiple camera modules
US20220092756A1 (en) * 2020-09-21 2022-03-24 International Business Machines Corporation Feature detection based on neural networks
CN114648480A (zh) * 2020-12-17 2022-06-21 杭州海康威视数字技术股份有限公司 表面缺陷检测方法、装置及***
US11605159B1 (en) 2021-11-03 2023-03-14 Elementary Robotics, Inc. Computationally efficient quality assurance inspection processes using machine learning
US20230133152A1 (en) * 2021-11-03 2023-05-04 Elementary Robotics, Inc. Automatic Object Detection and Changeover for Quality Assurance Inspection
US11675345B2 (en) 2021-11-10 2023-06-13 Elementary Robotics, Inc. Cloud-based multi-camera quality assurance architecture
US11605216B1 (en) 2022-02-10 2023-03-14 Elementary Robotics, Inc. Intelligent automated image clustering for quality assurance
CN116058195B (zh) * 2023-04-06 2023-07-04 中国农业大学 一种叶菜生长环境光照调控方法、***及装置

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Also Published As

Publication number Publication date
WO2019215746A1 (en) 2019-11-14
US11982628B2 (en) 2024-05-14
IL259285B2 (en) 2023-07-01
EP3791336A1 (en) 2021-03-17
US20210233229A1 (en) 2021-07-29
CN112088387A (zh) 2020-12-15
CN112088387B (zh) 2024-04-16
IL259285A (en) 2018-06-28
EP3791336A4 (en) 2022-01-26
IL259285B1 (en) 2023-03-01
KR20210008352A (ko) 2021-01-21
JP2021523348A (ja) 2021-09-02
BR112020022645A2 (pt) 2021-02-02
CA3097316A1 (en) 2019-11-14

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