JP7407189B2 - 検卵装置、検卵プログラム、および検卵方法 - Google Patents
検卵装置、検卵プログラム、および検卵方法 Download PDFInfo
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- JP7407189B2 JP7407189B2 JP2021527746A JP2021527746A JP7407189B2 JP 7407189 B2 JP7407189 B2 JP 7407189B2 JP 2021527746 A JP2021527746 A JP 2021527746A JP 2021527746 A JP2021527746 A JP 2021527746A JP 7407189 B2 JP7407189 B2 JP 7407189B2
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- 238000000034 method Methods 0.000 title claims description 47
- 235000013601 eggs Nutrition 0.000 claims description 620
- 230000002950 deficient Effects 0.000 claims description 102
- 238000003384 imaging method Methods 0.000 claims description 41
- 230000008569 process Effects 0.000 claims description 33
- 210000004204 blood vessel Anatomy 0.000 claims description 31
- 238000012549 training Methods 0.000 claims description 30
- 230000007547 defect Effects 0.000 claims description 29
- 238000004519 manufacturing process Methods 0.000 claims description 20
- 208000021267 infertility disease Diseases 0.000 claims description 19
- 229960005486 vaccine Drugs 0.000 claims description 16
- 230000001678 irradiating effect Effects 0.000 claims description 9
- 230000006870 function Effects 0.000 claims description 4
- 230000008144 egg development Effects 0.000 claims 3
- 208000000509 infertility Diseases 0.000 claims 1
- 230000036512 infertility Effects 0.000 claims 1
- 231100000535 infertility Toxicity 0.000 claims 1
- 238000012545 processing Methods 0.000 description 33
- 238000005286 illumination Methods 0.000 description 14
- 238000013135 deep learning Methods 0.000 description 13
- 238000010801 machine learning Methods 0.000 description 12
- 210000004681 ovum Anatomy 0.000 description 12
- 230000032258 transport Effects 0.000 description 12
- 238000003860 storage Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 210000003711 chorioallantoic membrane Anatomy 0.000 description 7
- 241000287828 Gallus gallus Species 0.000 description 5
- 238000013528 artificial neural network Methods 0.000 description 5
- 235000013330 chicken meat Nutrition 0.000 description 5
- 238000009826 distribution Methods 0.000 description 5
- 210000003754 fetus Anatomy 0.000 description 5
- 102000002322 Egg Proteins Human genes 0.000 description 3
- 108010000912 Egg Proteins Proteins 0.000 description 3
- 241000700605 Viruses Species 0.000 description 3
- 230000000740 bleeding effect Effects 0.000 description 3
- 210000003278 egg shell Anatomy 0.000 description 3
- 229940012466 egg shell membrane Drugs 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 210000000998 shell membrane Anatomy 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000011179 visual inspection Methods 0.000 description 3
- 238000009395 breeding Methods 0.000 description 2
- 230000001488 breeding effect Effects 0.000 description 2
- 210000000991 chicken egg Anatomy 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000000384 rearing effect Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 210000001691 amnion Anatomy 0.000 description 1
- 210000004381 amniotic fluid Anatomy 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 210000001136 chorion Anatomy 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000009658 destructive testing Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 210000004700 fetal blood Anatomy 0.000 description 1
- 238000011534 incubation Methods 0.000 description 1
- 206010022000 influenza Diseases 0.000 description 1
- 238000007477 logistic regression Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 210000004379 membrane Anatomy 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 239000007779 soft material Substances 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
Classifications
-
- 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
- G01N33/08—Eggs, e.g. by candling
- G01N33/085—Eggs, e.g. by candling by candling
-
- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Biochemistry (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Immunology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Food Science & Technology (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Medicinal Chemistry (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Image Processing (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2019121424 | 2019-06-28 | ||
JP2019121424 | 2019-06-28 | ||
PCT/JP2020/025099 WO2020262557A1 (ja) | 2019-06-28 | 2020-06-25 | 検卵装置、検卵プログラム、および検卵方法 |
Publications (3)
Publication Number | Publication Date |
---|---|
JPWO2020262557A1 JPWO2020262557A1 (zh) | 2020-12-30 |
JPWO2020262557A5 JPWO2020262557A5 (zh) | 2022-06-03 |
JP7407189B2 true JP7407189B2 (ja) | 2023-12-28 |
Family
ID=74060597
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2021527746A Active JP7407189B2 (ja) | 2019-06-28 | 2020-06-25 | 検卵装置、検卵プログラム、および検卵方法 |
Country Status (4)
Country | Link |
---|---|
JP (1) | JP7407189B2 (zh) |
CN (1) | CN114096844A (zh) |
TW (1) | TW202117305A (zh) |
WO (1) | WO2020262557A1 (zh) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2022186339A1 (ja) | 2021-03-04 | 2022-09-09 | 四国計測工業株式会社 | 検卵装置 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004101204A (ja) | 2002-09-04 | 2004-04-02 | Shikoku Instrumentation Co Ltd | 有精卵の検査法および装置 |
JP2007212155A (ja) | 2006-02-07 | 2007-08-23 | Kumamotoken Yokei Nogyo Kyodo Kumiai | 優良卵自動判別装置 |
WO2010074572A1 (en) | 2008-12-23 | 2010-07-01 | Fps Food Processing Systems B.V. | Method and apparatus for classifying eggs |
JP5501918B2 (ja) | 2010-09-30 | 2014-05-28 | 株式会社トプコン | 光学素子の製造方法およびその方法により作製された光学素子 |
JP2019511908A (ja) | 2016-02-11 | 2019-05-09 | 10エックス ジェノミクス, インコーポレイテッド | 全ゲノム配列データのデノボアセンブリのためのシステム、方法及び媒体 |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH05501918A (ja) * | 1989-11-10 | 1993-04-08 | オバスカン プロプライアタリー リミティド | 殻付き卵を格付けするための方法及び装置 |
JP2000235005A (ja) * | 1999-02-15 | 2000-08-29 | Nidec Tosok Corp | 卵検査装置 |
JP2011169629A (ja) * | 2010-02-16 | 2011-09-01 | Joichiro Tsuboi | 有精卵検査装置 |
JP2012013587A (ja) * | 2010-07-02 | 2012-01-19 | Joichiro Tsuboi | 自動検卵方法における画像処理装置 |
CN106645605B (zh) * | 2016-09-05 | 2019-01-08 | 中国农业大学 | 基于机器视觉的禽类受精蛋检测方法 |
WO2018101139A1 (ja) * | 2016-11-30 | 2018-06-07 | 株式会社ナベル | 種卵検査システム及び種卵検査プログラム |
TWI644616B (zh) * | 2017-03-17 | 2018-12-21 | Method for judging the hatching shape of poultry eggs by using image processing | |
EP3483619A1 (en) * | 2017-11-13 | 2019-05-15 | Technische Universität München | Automated noninvasive determining the sex of an embryo of and the fertility of a bird's egg |
-
2020
- 2020-06-25 JP JP2021527746A patent/JP7407189B2/ja active Active
- 2020-06-25 WO PCT/JP2020/025099 patent/WO2020262557A1/ja active Application Filing
- 2020-06-25 CN CN202080047721.1A patent/CN114096844A/zh active Pending
- 2020-06-29 TW TW109121784A patent/TW202117305A/zh unknown
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004101204A (ja) | 2002-09-04 | 2004-04-02 | Shikoku Instrumentation Co Ltd | 有精卵の検査法および装置 |
JP2007212155A (ja) | 2006-02-07 | 2007-08-23 | Kumamotoken Yokei Nogyo Kyodo Kumiai | 優良卵自動判別装置 |
WO2010074572A1 (en) | 2008-12-23 | 2010-07-01 | Fps Food Processing Systems B.V. | Method and apparatus for classifying eggs |
JP5501918B2 (ja) | 2010-09-30 | 2014-05-28 | 株式会社トプコン | 光学素子の製造方法およびその方法により作製された光学素子 |
JP2019511908A (ja) | 2016-02-11 | 2019-05-09 | 10エックス ジェノミクス, インコーポレイテッド | 全ゲノム配列データのデノボアセンブリのためのシステム、方法及び媒体 |
Non-Patent Citations (2)
Title |
---|
PATEL, V. C. et al.,Color Computer Vision and Artificial Neural Networks for the Detection of Defects in Poultry Eggs,Artificial Intelligence Review,1998年,12,163-176 |
満留 大輔 他,画像処理を用いた優良卵の判定,第50回 システム制御情報学会研究発表講演会講演論文集,2008年05月10日,6W4-4,395-396,全文, 図1 |
Also Published As
Publication number | Publication date |
---|---|
JPWO2020262557A1 (zh) | 2020-12-30 |
WO2020262557A1 (ja) | 2020-12-30 |
TW202117305A (zh) | 2021-05-01 |
CN114096844A (zh) | 2022-02-25 |
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