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MX2020004068A - Sistemas y métodos para el seguimiento de portadores de bienes. - Google Patents

Sistemas y métodos para el seguimiento de portadores de bienes.

Info

Publication number
MX2020004068A
MX2020004068A MX2020004068A MX2020004068A MX2020004068A MX 2020004068 A MX2020004068 A MX 2020004068A MX 2020004068 A MX2020004068 A MX 2020004068A MX 2020004068 A MX2020004068 A MX 2020004068A MX 2020004068 A MX2020004068 A MX 2020004068A
Authority
MX
Mexico
Prior art keywords
image
carriers
goods
particular source
methods
Prior art date
Application number
MX2020004068A
Other languages
English (en)
Inventor
Dan Bricarello
Juan Castillo
Prasad Srinivasamurthy
Michael Souder
Original Assignee
Bxb Digital Pty 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 Bxb Digital Pty Ltd filed Critical Bxb Digital Pty Ltd
Publication of MX2020004068A publication Critical patent/MX2020004068A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0833—Tracking
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06T7/0008—Industrial image inspection checking presence/absence
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/292—Multi-camera tracking
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40—Document-oriented image-based pattern recognition
    • G06V30/42—Document-oriented image-based pattern recognition based on the type of document
    • G06V30/424—Postal images, e.g. labels or addresses on parcels or postal envelopes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24143—Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Quality & Reliability (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Strategic Management (AREA)
  • Operations Research (AREA)
  • Human Resources & Organizations (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Se proporcionan métodos, dispositivos y productos de programas informáticos para el seguimiento de portadores de bienes de una fuente particular. De acuerdo con algunas modalidades de la invención, un método implementado por computadora incluye el entrenamiento de una red neuronal artificial para contar la cantidad de portadores de bienes de una fuente particular dentro de una imagen. Además, el método incluye recibir un primer archivo de imagen generado por un primer dispositivo de captura de imágenes; utilizar la red neuronal artificial entrenada para determinar una primera cantidad de portadores de bienes de la fuente particular en la primera imagen; recibir un segundo archivo de imagen generado por un segundo dispositivo de captura de imágenes; utilizar la red neuronal artificial entrenada para determinar una segunda cantidad de portadores de bienes de la fuente particular en la segunda imagen; y determinar si la primera cantidad de portadores de bienes de la fuente particular de la primera imagen es igual a la segunda cantidad de portadores de bienes de la fuente particular de la segunda imagen.
MX2020004068A 2017-10-20 2018-08-09 Sistemas y métodos para el seguimiento de portadores de bienes. MX2020004068A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762575262P 2017-10-20 2017-10-20
PCT/US2018/045964 WO2019078944A1 (en) 2017-10-20 2018-08-09 SYSTEMS AND METHODS FOR MONITORING FREIGHT TRANSPORTERS

Publications (1)

Publication Number Publication Date
MX2020004068A true MX2020004068A (es) 2020-11-06

Family

ID=63371806

Family Applications (2)

Application Number Title Priority Date Filing Date
MX2020004068A MX2020004068A (es) 2017-10-20 2018-08-09 Sistemas y métodos para el seguimiento de portadores de bienes.
MX2023012650A MX2023012650A (es) 2017-10-20 2020-07-13 Sistemas y metodos para el seguimiento de portadores de bienes.

Family Applications After (1)

Application Number Title Priority Date Filing Date
MX2023012650A MX2023012650A (es) 2017-10-20 2020-07-13 Sistemas y metodos para el seguimiento de portadores de bienes.

Country Status (9)

Country Link
US (1) US10956854B2 (es)
EP (1) EP3698270B1 (es)
CN (1) CN111712826B (es)
AU (4) AU2018353840B2 (es)
CL (1) CL2020001057A1 (es)
ES (1) ES2912783T3 (es)
MA (1) MA50387A (es)
MX (2) MX2020004068A (es)
WO (1) WO2019078944A1 (es)

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