MX2021014924A - Dispositivo y metodo para crear al menos una base de datos de verdad fundamental para un sistema de reconocimiento de objetos. - Google Patents
Dispositivo y metodo para crear al menos una base de datos de verdad fundamental para un sistema de reconocimiento de objetos.Info
- Publication number
- MX2021014924A MX2021014924A MX2021014924A MX2021014924A MX2021014924A MX 2021014924 A MX2021014924 A MX 2021014924A MX 2021014924 A MX2021014924 A MX 2021014924A MX 2021014924 A MX2021014924 A MX 2021014924A MX 2021014924 A MX2021014924 A MX 2021014924A
- Authority
- MX
- Mexico
- Prior art keywords
- spectra
- color space
- luminescence
- different objects
- space positions
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 2
- 238000000985 reflectance spectrum Methods 0.000 abstract 7
- 238000004020 luminiscence type Methods 0.000 abstract 6
- 238000001228 spectrum Methods 0.000 abstract 6
- 238000013500 data storage Methods 0.000 abstract 3
- 238000013473 artificial intelligence Methods 0.000 abstract 1
- 238000001748 luminescence spectrum Methods 0.000 abstract 1
- 238000012544 monitoring process Methods 0.000 abstract 1
- 230000001502 supplementing effect Effects 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/1429—Identifying or ignoring parts by sensing at different wavelengths
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/143—Sensing or illuminating at different wavelengths
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/55—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/28—Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
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- 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
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
- G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/1914—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries, e.g. user dictionaries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/19147—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging or boosting
-
- 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
- G06V20/68—Food, e.g. fruit or vegetables
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Library & Information Science (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Toxicology (AREA)
- Electromagnetism (AREA)
- Image Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Alarm Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
La presente invención se refiere a un dispositivo y a un método para crear al menos una base de datos de verdad fundamental para un sistema de reconocimiento de objetos y para mantener al menos una base de datos de verdad fundamental actualizada. El dispositivo comprende al menos los siguientes componentes: una unidad de almacenamiento de datos configurada para almacenar posiciones de espacio de color y/o espectros de reflectancia y/o espectros de luminiscencia de diferentes objetos; y un procesador programado para la comunicación con la unidad de almacenamiento de datos y con el sistema de reconocimiento de objetos, el procesador programado para: - recibir, a través de una interfaz de comunicación, las posiciones medidas del espacio de color y/o los espectros de reflectancia y/o los espectros de luminiscencia de diferentes objetos, - asignar cada posición de espacio de color y/o espectro de reflectancia y/o espectro de luminiscencia a uno de los diferentes objetos como una etiqueta, - almacenar las posiciones del espacio de color y/o los espectros de reflectancia y/o los espectros de luminiscencia junto con los diferentes objetos respectivos a los que se asignan las posiciones del espacio de color y/o los espectros de reflectancia y/o los espectros de luminiscencia en la unidad de almacenamiento de datos, creando así al menos una base de datos de verdad fundamental, - monitorear, mediante el uso de al menos un sensor y/o herramientas de inteligencia artificial, una escena que incluya al menos algunos de los diferentes objetos para la ocurrencia de un evento de activación y/o reconocimiento, - actualizar y/o complementar dinámicamente en al menos una de las bases de datos las posiciones del espacio de color y/o los espectros de reflectancia y/o los espectros de luminiscencia almacenados en la respectiva base de datos al menos en el caso de que se produzca el evento de activación y/o reconocimiento, y - proporcionar acceso inmediato a las posiciones actualizadas del espacio de color y/o los espectros de reflectancia y/o los espectros de luminiscencia.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201962858354P | 2019-06-07 | 2019-06-07 | |
EP19179166 | 2019-06-07 | ||
PCT/EP2020/065747 WO2020245440A1 (en) | 2019-06-07 | 2020-06-05 | Device and method for forming at least one ground truth database for an object recognition system |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2021014924A true MX2021014924A (es) | 2022-01-24 |
Family
ID=70977981
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2021014924A MX2021014924A (es) | 2019-06-07 | 2020-06-05 | Dispositivo y metodo para crear al menos una base de datos de verdad fundamental para un sistema de reconocimiento de objetos. |
Country Status (12)
Country | Link |
---|---|
US (1) | US20220309766A1 (es) |
EP (1) | EP3980940A1 (es) |
JP (1) | JP7402898B2 (es) |
KR (1) | KR20220004741A (es) |
CN (1) | CN113811880A (es) |
AU (1) | AU2020286660A1 (es) |
BR (1) | BR112021019024A2 (es) |
CA (1) | CA3140446A1 (es) |
MX (1) | MX2021014924A (es) |
SG (1) | SG11202113368YA (es) |
TW (1) | TW202113681A (es) |
WO (1) | WO2020245440A1 (es) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2023180178A1 (en) * | 2022-03-23 | 2023-09-28 | Basf Coatings Gmbh | System and method for object recognition utilizing color identification and/or machine learning |
Family Cites Families (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4156084B2 (ja) | 1998-07-31 | 2008-09-24 | 松下電器産業株式会社 | 移動物体追跡装置 |
US6633043B2 (en) * | 2002-01-30 | 2003-10-14 | Ezzat M. Hegazi | Method for characterization of petroleum oils using normalized time-resolved fluorescence spectra |
US7496228B2 (en) * | 2003-06-13 | 2009-02-24 | Landwehr Val R | Method and system for detecting and classifying objects in images, such as insects and other arthropods |
US8428310B2 (en) | 2008-02-28 | 2013-04-23 | Adt Services Gmbh | Pattern classification system and method for collective learning |
JP4730431B2 (ja) | 2008-12-16 | 2011-07-20 | 日本ビクター株式会社 | 目標追尾装置 |
JP5177068B2 (ja) | 2009-04-10 | 2013-04-03 | 株式会社Jvcケンウッド | 目標追尾装置、目標追尾方法 |
JP5290865B2 (ja) | 2009-05-18 | 2013-09-18 | キヤノン株式会社 | 位置姿勢推定方法および装置 |
EP2688549B1 (en) | 2011-03-21 | 2020-07-29 | Coloright Ltd. | Systems for custom coloration |
US9122929B2 (en) * | 2012-08-17 | 2015-09-01 | Ge Aviation Systems, Llc | Method of identifying a tracked object for use in processing hyperspectral data |
US8825371B2 (en) | 2012-12-19 | 2014-09-02 | Toyota Motor Engineering & Manufacturing North America, Inc. | Navigation of on-road vehicle based on vertical elements |
US9212996B2 (en) * | 2013-08-05 | 2015-12-15 | Tellspec, Inc. | Analyzing and correlating spectra, identifying samples and their ingredients, and displaying related personalized information |
JP6043706B2 (ja) | 2013-09-25 | 2016-12-14 | 日本電信電話株式会社 | マッチング処理装置およびマッチング方法 |
JP2015127910A (ja) | 2013-12-27 | 2015-07-09 | 株式会社Jvcケンウッド | 色変化検出装置、色変化検出方法及び色変化検出プログラム |
US10113910B2 (en) * | 2014-08-26 | 2018-10-30 | Digimarc Corporation | Sensor-synchronized spectrally-structured-light imaging |
DE102014222331B4 (de) * | 2014-10-31 | 2021-01-28 | Hochschule Für Angewandte Wissenschaften Coburg | Verfahren zur Quantifizierung der Oxidationsstabilität und/oder des Alterungsgrades eines Kraftstoffes |
GB2532075A (en) * | 2014-11-10 | 2016-05-11 | Lego As | System and method for toy recognition and detection based on convolutional neural networks |
JP5901824B1 (ja) | 2015-06-01 | 2016-04-13 | ナレッジスイート株式会社 | 顔認証システム及び顔認証プログラム |
CN105136742A (zh) * | 2015-08-21 | 2015-12-09 | 董海萍 | 基于云端光谱数据库的微型光谱仪及光谱检测方法 |
US10664722B1 (en) * | 2016-10-05 | 2020-05-26 | Digimarc Corporation | Image processing arrangements |
CN108254351B (zh) * | 2016-12-29 | 2023-08-01 | 同方威视技术股份有限公司 | 用于物品查验的拉曼光谱检测方法 |
US20180232689A1 (en) * | 2017-02-13 | 2018-08-16 | Iceberg Luxembourg S.A.R.L. | Computer Vision Based Food System And Method |
CN108662842A (zh) * | 2017-03-27 | 2018-10-16 | 青岛海尔智能技术研发有限公司 | 冰箱内食物的检测系统与冰箱 |
-
2020
- 2020-06-05 CA CA3140446A patent/CA3140446A1/en active Pending
- 2020-06-05 AU AU2020286660A patent/AU2020286660A1/en not_active Abandoned
- 2020-06-05 KR KR1020217039561A patent/KR20220004741A/ko unknown
- 2020-06-05 TW TW109119099A patent/TW202113681A/zh unknown
- 2020-06-05 EP EP20730646.5A patent/EP3980940A1/en active Pending
- 2020-06-05 MX MX2021014924A patent/MX2021014924A/es unknown
- 2020-06-05 SG SG11202113368YA patent/SG11202113368YA/en unknown
- 2020-06-05 BR BR112021019024A patent/BR112021019024A2/pt unknown
- 2020-06-05 JP JP2021572402A patent/JP7402898B2/ja active Active
- 2020-06-05 US US17/616,792 patent/US20220309766A1/en active Pending
- 2020-06-05 CN CN202080034863.4A patent/CN113811880A/zh active Pending
- 2020-06-05 WO PCT/EP2020/065747 patent/WO2020245440A1/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
CN113811880A (zh) | 2021-12-17 |
CA3140446A1 (en) | 2020-12-10 |
JP7402898B2 (ja) | 2023-12-21 |
JP2022535887A (ja) | 2022-08-10 |
KR20220004741A (ko) | 2022-01-11 |
WO2020245440A1 (en) | 2020-12-10 |
BR112021019024A2 (pt) | 2021-12-21 |
EP3980940A1 (en) | 2022-04-13 |
AU2020286660A1 (en) | 2022-01-06 |
SG11202113368YA (en) | 2021-12-30 |
US20220309766A1 (en) | 2022-09-29 |
TW202113681A (zh) | 2021-04-01 |
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