MX2021001799A - Sistema de imagenes de multiples vistas y metodos para inspeccion no invasiva en el procesamiento de alimentos. - Google Patents

Sistema de imagenes de multiples vistas y metodos para inspeccion no invasiva en el procesamiento de alimentos.

Info

Publication number
MX2021001799A
MX2021001799A MX2021001799A MX2021001799A MX2021001799A MX 2021001799 A MX2021001799 A MX 2021001799A MX 2021001799 A MX2021001799 A MX 2021001799A MX 2021001799 A MX2021001799 A MX 2021001799A MX 2021001799 A MX2021001799 A MX 2021001799A
Authority
MX
Mexico
Prior art keywords
imaging system
image data
methods
food processing
view imaging
Prior art date
Application number
MX2021001799A
Other languages
English (en)
Inventor
Stefan Mairhofer
Original Assignee
Thai Union Group Public Co 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 Thai Union Group Public Co Ltd filed Critical Thai Union Group Public Co Ltd
Publication of MX2021001799A publication Critical patent/MX2021001799A/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
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8806—Specially adapted optical and illumination features
    • 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
    • G01N21/94—Investigating contamination, e.g. dust
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02—Food
    • G01N33/12—Meat; Fish
    • 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
    • G06T7/50—Depth or shape recovery
    • G06T7/55—Depth or shape recovery from multiple images
    • G06T7/564—Depth or shape recovery from multiple images from contours
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30128—Food products

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Food Science & Technology (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Biophysics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medicinal Chemistry (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

Se describe un sistema basado en visión en línea (400) usado para la inspección y procesamiento de material alimentario (408) y métodos de formación de imágenes asociados. El sistema incluye una cinta transportadora (402), una placa transparente (412) y un sistema de imágenes (422), en donde el sistema de imágenes incluye una fuente de luz (424) y al menos una cámara. El sistema de imágenes produce datos de imágenes a partir de múltiples vistas de la luz que pasa a través de un objeto en la placa transparente y es capturada por la cámara. Los datos de la imagen corresponden a uno de los datos de la imagen de transmitancia, interacción o reflectancia y se transmiten a un procesador (428). El procesador procesa los datos usando el aprendizaje automático para generar un modelo tridimensional de la geometría de una porción del material interno al objeto para determinar los límites de la parte en relación con el material circundante.
MX2021001799A 2018-08-16 2018-12-18 Sistema de imagenes de multiples vistas y metodos para inspeccion no invasiva en el procesamiento de alimentos. MX2021001799A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201862765113P 2018-08-16 2018-08-16
PCT/US2018/066314 WO2020036620A1 (en) 2018-08-16 2018-12-18 Multi-view imaging system and methods for non-invasive inspection in food processing

Publications (1)

Publication Number Publication Date
MX2021001799A true MX2021001799A (es) 2021-06-15

Family

ID=65003598

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021001799A MX2021001799A (es) 2018-08-16 2018-12-18 Sistema de imagenes de multiples vistas y metodos para inspeccion no invasiva en el procesamiento de alimentos.

Country Status (8)

Country Link
EP (1) EP3837533A1 (es)
JP (1) JP7324271B2 (es)
KR (1) KR20210041055A (es)
CN (1) CN113167740B (es)
EC (1) ECSP21013708A (es)
MX (1) MX2021001799A (es)
PH (1) PH12021550342A1 (es)
WO (1) WO2020036620A1 (es)

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CN112763700B (zh) * 2021-02-18 2023-08-04 同济大学 混凝土预制梁成品质量检测和数字实体模型构建系统及方法
LU501123B1 (en) 2021-12-29 2023-06-29 Analitica D O O Apparatus and method for detecting polymer objects and/or chemical additives in food products

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Also Published As

Publication number Publication date
JP7324271B2 (ja) 2023-08-09
ECSP21013708A (es) 2021-04-29
KR20210041055A (ko) 2021-04-14
CN113167740A (zh) 2021-07-23
EP3837533A1 (en) 2021-06-23
JP2021535367A (ja) 2021-12-16
WO2020036620A1 (en) 2020-02-20
PH12021550342A1 (en) 2021-10-04
CN113167740B (zh) 2024-08-20

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