FR3090167B1 - Procédé d’amélioration de la précision d’un ensemble de données d’images d’apprentissage d’un réseau neuronal à convolution pour des applications de prévention des pertes - Google Patents

Procédé d’amélioration de la précision d’un ensemble de données d’images d’apprentissage d’un réseau neuronal à convolution pour des applications de prévention des pertes Download PDF

Info

Publication number
FR3090167B1
FR3090167B1 FR1914458A FR1914458A FR3090167B1 FR 3090167 B1 FR3090167 B1 FR 3090167B1 FR 1914458 A FR1914458 A FR 1914458A FR 1914458 A FR1914458 A FR 1914458A FR 3090167 B1 FR3090167 B1 FR 3090167B1
Authority
FR
France
Prior art keywords
neural network
loss prevention
accuracy
improving
convolutional neural
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
FR1914458A
Other languages
English (en)
Other versions
FR3090167A1 (fr
Inventor
Robert James Pang
Christopher J Fjellstad
Sajan Wilfred
Yuri Astvatsaturov
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zebra Technologies Corp
Original Assignee
Zebra Technologies Corp
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 Zebra Technologies Corp filed Critical Zebra Technologies Corp
Publication of FR3090167A1 publication Critical patent/FR3090167A1/fr
Application granted granted Critical
Publication of FR3090167B1 publication Critical patent/FR3090167B1/fr
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/08—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers from or to individual record carriers, e.g. punched card, memory card, integrated circuit [IC] card or smart card
    • 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
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1413—1D bar codes
    • 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
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1417—2D bar codes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
    • 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • 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
    • 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
    • G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
    • G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
    • G06K7/10861—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing of data fields affixed to objects or articles, e.g. coded labels
    • 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
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/146—Methods for optical code recognition the method including quality enhancement steps
    • G06K7/1482—Methods for optical code recognition the method including quality enhancement steps using fuzzy logic or natural solvers, such as neural networks, genetic algorithms and simulated annealing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/12—Bounding box
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/22—Cropping

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Toxicology (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Electromagnetism (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Quality & Reliability (AREA)
  • Automation & Control Theory (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Human Computer Interaction (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Image Analysis (AREA)

Abstract

Procédé d ’ amélioration de la précision d ’ un ensemble de données d ’ images d ’ apprentissage d ’ un réseau neuronal à convolution pour des applications de prévention des pertes Des techniques d’amélioration de la précision d’un réseau neuronal formé pour des applications de prévention des pertes comportent l’identification des caractéristiques physiques d’un objet (108) dans des données de numérisation d’image, le rognage de repères des données de numérisation d’image, et l’examen des caractéristiques physiques dans les données de numérisation d’image à repères supprimés en utilisant un réseau neuronal pour identifier l’objet (108) sur la base d’une comparaison de données d’identification en fonction des caractéristiques physiques et une autre identification, comme en fonction des repères. En réponse à une prédiction de correspondance, une indication est faite d’une correspondance et un signal d’authentification est généré. Figure pour l’abrégé : Fig. 1.
FR1914458A 2018-12-17 2019-12-16 Procédé d’amélioration de la précision d’un ensemble de données d’images d’apprentissage d’un réseau neuronal à convolution pour des applications de prévention des pertes Active FR3090167B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/221,816 2018-12-17
US16/221,816 US20200192608A1 (en) 2018-12-17 2018-12-17 Method for improving the accuracy of a convolution neural network training image data set for loss prevention applications

Publications (2)

Publication Number Publication Date
FR3090167A1 FR3090167A1 (fr) 2020-06-19
FR3090167B1 true FR3090167B1 (fr) 2022-09-09

Family

ID=71072558

Family Applications (1)

Application Number Title Priority Date Filing Date
FR1914458A Active FR3090167B1 (fr) 2018-12-17 2019-12-16 Procédé d’amélioration de la précision d’un ensemble de données d’images d’apprentissage d’un réseau neuronal à convolution pour des applications de prévention des pertes

Country Status (2)

Country Link
US (1) US20200192608A1 (fr)
FR (1) FR3090167B1 (fr)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11062104B2 (en) * 2019-07-08 2021-07-13 Zebra Technologies Corporation Object recognition system with invisible or nearly invisible lighting
US20210334594A1 (en) * 2020-04-23 2021-10-28 Rehrig Pacific Company Scalable training data capture system
US11734531B2 (en) * 2020-10-20 2023-08-22 Hand Held Products, Inc. Methods and systems of harvesting data for training machine learning (ML) model
US11727678B2 (en) 2020-10-30 2023-08-15 Tiliter Pty Ltd. Method and apparatus for image recognition in mobile communication device to identify and weigh items
CN113486937A (zh) * 2021-06-28 2021-10-08 华侨大学 一种基于卷积神经网络的固废识别数据集构建系统
CN114580588B (zh) * 2022-05-06 2022-08-12 江苏省质量和标准化研究院 基于概率矩阵模型的uhf rfid群标签选型方法
GB2632251A (en) * 2023-07-28 2025-02-05 Quantum Base Ltd A method of authenticating and preventing spoofing of an optically readable security element

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8494909B2 (en) * 2009-02-09 2013-07-23 Datalogic ADC, Inc. Automatic learning in a merchandise checkout system with visual recognition
US9594983B2 (en) * 2013-08-02 2017-03-14 Digimarc Corporation Learning systems and methods
EP3454698B1 (fr) * 2016-05-09 2024-04-17 Grabango Co. Système et procédé pour des applications informatiques commandées par la vision dans un environnement

Also Published As

Publication number Publication date
US20200192608A1 (en) 2020-06-18
FR3090167A1 (fr) 2020-06-19

Similar Documents

Publication Publication Date Title
FR3090167B1 (fr) Procédé d’amélioration de la précision d’un ensemble de données d’images d’apprentissage d’un réseau neuronal à convolution pour des applications de prévention des pertes
Jiang et al. Enhanced crack segmentation algorithm using 3D pavement data
WO2018032861A1 (fr) Procédé et dispositif de reconnaissance de veine de doigt
JP2013522754A (ja) 複数の虹彩テンプレートを用いた虹彩認識装置及び方法
US9389067B2 (en) Three-dimensional shape measuring apparatus, three-dimensional shape measuring method, program, and storage medium
US11450130B2 (en) Animal identification based on unique nose patterns
JP2021057054A (ja) 画像認識装置
US20150206325A1 (en) Three-dimensional measurement apparatus, three-dimensional measurement method and program
ES2924638T3 (es) Métodos y un dispositivo informático para determinar si una marca es auténtica
CN107529963A (zh) 图像处理装置、图像处理方法和图像处理程序
CN109714530B (zh) 一种航空相机图像调焦方法
CN106991448A (zh) 一种人像比对处理方法
CN103927785A (zh) 一种面向近景摄影立体影像数据的特征点匹配方法
TWI602434B (zh) 路跑活動的拍照系統及其操作方法
WO2019230593A1 (fr) Procédé de traitement d'image et dispositif de traitement d'image
JP2016057194A (ja) 情報処理装置、情報処理方法、プログラム
JP5099120B2 (ja) テンプレートマッチング装置、テンプレートマッチング装置を備えたカメラ、テンプレートマッチングをコンピュータで行うためのプログラム
JP3919722B2 (ja) 肌形状計測方法及び肌形状計測装置
JP2020037356A (ja) 架線摩耗検査装置
JPH09229646A (ja) 物体認識方法
KR100194583B1 (ko) 얼굴 구성요소 추출시스템 및 그 추출방법
JP4101478B2 (ja) 人体端点検出方法及び装置
CN104992432B (zh) 多模图像配准方法
JP7197009B2 (ja) 物体管理システム
JP6218237B2 (ja) 撮影画像を平行化する画像変換プログラム、装置及び方法

Legal Events

Date Code Title Description
PLFP Fee payment

Year of fee payment: 2

PLSC Publication of the preliminary search report

Effective date: 20211029

PLFP Fee payment

Year of fee payment: 3

PLFP Fee payment

Year of fee payment: 4

PLFP Fee payment

Year of fee payment: 5

PLFP Fee payment

Year of fee payment: 6