GB2594176B - Method for improving the accuracy of a convolution neural network training image dataset for loss prevention applications - Google Patents

Method for improving the accuracy of a convolution neural network training image dataset for loss prevention applications Download PDF

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Publication number
GB2594176B
GB2594176B GB2108211.0A GB202108211A GB2594176B GB 2594176 B GB2594176 B GB 2594176B GB 202108211 A GB202108211 A GB 202108211A GB 2594176 B GB2594176 B GB 2594176B
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accuracy
improving
neural network
training image
network training
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GB2108211.0A
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GB202108211D0 (en
GB2594176A (en
Inventor
James Pang Robert
J Fjellstad Christopher
Wilfred Sajan
Astvatsaturov Yuri
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Zebra Technologies Corp
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Zebra Technologies Corp
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Priority claimed from US16/218,969 external-priority patent/US20200193281A1/en
Priority claimed from US16/221,816 external-priority patent/US20200192608A1/en
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Publication of GB202108211D0 publication Critical patent/GB202108211D0/en
Publication of GB2594176A publication Critical patent/GB2594176A/en
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    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
GB2108211.0A 2018-12-13 2019-10-16 Method for improving the accuracy of a convolution neural network training image dataset for loss prevention applications Active GB2594176B (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/218,969 US20200193281A1 (en) 2018-12-13 2018-12-13 Method for automating supervisory signal during training of a neural network using barcode scan
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
PCT/US2019/056466 WO2020123029A2 (en) 2018-12-13 2019-10-16 Method for improving the accuracy of a convolution neural network training image data set for loss prevention applications

Publications (3)

Publication Number Publication Date
GB202108211D0 GB202108211D0 (en) 2021-07-21
GB2594176A GB2594176A (en) 2021-10-20
GB2594176B true GB2594176B (en) 2023-02-22

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GB2108211.0A Active GB2594176B (en) 2018-12-13 2019-10-16 Method for improving the accuracy of a convolution neural network training image dataset for loss prevention applications

Country Status (4)

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AU (1) AU2019397995B2 (en)
DE (1) DE112019006192T5 (en)
GB (1) GB2594176B (en)
WO (1) WO2020123029A2 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115718445B (en) * 2022-11-15 2023-09-01 杭州将古文化发展有限公司 Intelligent Internet of things management system suitable for museum

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100217678A1 (en) * 2009-02-09 2010-08-26 Goncalves Luis F Automatic learning in a merchandise checkout system with visual recognition
US20170323376A1 (en) * 2016-05-09 2017-11-09 Grabango Co. System and method for computer vision driven applications within an environment
US20180137120A1 (en) * 2014-04-29 2018-05-17 Ncr Corporation Signal-to-noise ratio image validation

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9092683B2 (en) * 2012-07-10 2015-07-28 Honeywell International Inc. Cloud-based system for processing of decodable indicia

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100217678A1 (en) * 2009-02-09 2010-08-26 Goncalves Luis F Automatic learning in a merchandise checkout system with visual recognition
US20180137120A1 (en) * 2014-04-29 2018-05-17 Ncr Corporation Signal-to-noise ratio image validation
US20170323376A1 (en) * 2016-05-09 2017-11-09 Grabango Co. System and method for computer vision driven applications within an environment

Also Published As

Publication number Publication date
AU2019397995B2 (en) 2021-12-23
WO2020123029A3 (en) 2020-07-30
GB202108211D0 (en) 2021-07-21
DE112019006192T5 (en) 2021-09-02
GB2594176A (en) 2021-10-20
AU2019397995A1 (en) 2021-04-29
WO2020123029A2 (en) 2020-06-18

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