Title:
コーヒー豆類の良品識別機能を備える良品検査システムおよび良品検査方法
Document Type and Number:
Japanese Patent JP7440044
Kind Code:
B2
Abstract:
To provide a non-defective inspection system including a non-defective identification function which can quickly and highly accurately identify non-defective coffee beans and defectives.SOLUTION: A non-defective estimation system 10 comprises: a storage device 11 which stores a learning model 12 that is generated by a neural network using a density histogram of each of RGB obtained from image data of each of a non-defective and a defective as teacher data; and an estimation execution unit 154 which outputs an identification result of identifying the non-defective and the defective using the learning model 12 when the density histogram of each of RGB obtained from the image data obtained by imaging an inspection object including the defective is input.SELECTED DRAWING: Figure 1
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Inventors:
Fumiaki Takeda
Tomohiro Kanno
Tomohiro Fujiwara
Tomohiro Kanno
Tomohiro Fujiwara
Application Number:
JP2022018053A
Publication Date:
February 28, 2024
Filing Date:
February 08, 2022
Export Citation:
Assignee:
UCC Uejima Coffee Co., Ltd.
Kinki University
Kinki University
International Classes:
G01N21/85; B07C5/342; G01N21/88; G01N33/02; G06V10/82
Domestic Patent References:
| JP2020034489A | ||||
| JP2018136153A | ||||
| JP2019148431A | ||||
| JP2022019569A |
Foreign References:
| WO2019151393A1 | ||||
| WO2013145873A1 | ||||
| CN112819017A |
Other References:
SAAD, et al.,Recognizing the ripeness of bananas using artificial neural network based on histogram approach,2009 IEEE International Conference on Signal and Image Processing Applications,11361071,2009年,pp.536-541,DOI: 10.1109/ICSIPA.2009.5478715
KILIC, et al.,A classification system for beans using computer vision system and artificial neural networks,Journal of Food Engineering,2007年,Volume 78, Issue 3,pp.897-904,https://doi.org/10.1016/j.jfoodeng.2005.11.030
PINTO, et al.,Classification of Green coffee bean images basec on defect types using convolutional neural network (CNN),2017 International Conference on Advanced Informatics, Concepts, Theory, and Applications (ICAICTA),2017年,DOI: 10.1109/ICAICTA.2017.8090980
KILIC, et al.,A classification system for beans using computer vision system and artificial neural networks,Journal of Food Engineering,2007年,Volume 78, Issue 3,pp.897-904,https://doi.org/10.1016/j.jfoodeng.2005.11.030
PINTO, et al.,Classification of Green coffee bean images basec on defect types using convolutional neural network (CNN),2017 International Conference on Advanced Informatics, Concepts, Theory, and Applications (ICAICTA),2017年,DOI: 10.1109/ICAICTA.2017.8090980
Attorney, Agent or Firm:
Patent Attorney Corporation Junias International Patent Office
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