WO2022191091A1 - Système d'inspection d'aliments, procédé d'inspection d'aliments et programme informatique - Google Patents
Système d'inspection d'aliments, procédé d'inspection d'aliments et programme informatique Download PDFInfo
- Publication number
- WO2022191091A1 WO2022191091A1 PCT/JP2022/009569 JP2022009569W WO2022191091A1 WO 2022191091 A1 WO2022191091 A1 WO 2022191091A1 JP 2022009569 W JP2022009569 W JP 2022009569W WO 2022191091 A1 WO2022191091 A1 WO 2022191091A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- processed food
- food
- product
- processed
- defective
- Prior art date
Links
- 238000007689 inspection Methods 0.000 title claims abstract description 101
- 235000013305 food Nutrition 0.000 title claims abstract description 93
- 238000000034 method Methods 0.000 title claims abstract description 77
- 238000004590 computer program Methods 0.000 title claims description 10
- 235000021067 refined food Nutrition 0.000 claims abstract description 249
- 230000002950 deficient Effects 0.000 claims abstract description 186
- 230000007547 defect Effects 0.000 claims description 75
- 230000008569 process Effects 0.000 claims description 66
- 238000012545 processing Methods 0.000 claims description 52
- 238000012986 modification Methods 0.000 claims description 30
- 230000004048 modification Effects 0.000 claims description 30
- 238000003384 imaging method Methods 0.000 claims description 23
- 238000012937 correction Methods 0.000 claims description 21
- 238000004891 communication Methods 0.000 claims description 16
- 230000005540 biological transmission Effects 0.000 claims description 6
- 239000000047 product Substances 0.000 description 263
- 239000004615 ingredient Substances 0.000 description 23
- 238000004804 winding Methods 0.000 description 22
- 230000032258 transport Effects 0.000 description 16
- 238000003860 storage Methods 0.000 description 15
- 238000012544 monitoring process Methods 0.000 description 10
- 238000013528 artificial neural network Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 9
- 238000009826 distribution Methods 0.000 description 9
- 238000004026 adhesive bonding Methods 0.000 description 8
- 238000003709 image segmentation Methods 0.000 description 6
- 230000008439 repair process Effects 0.000 description 6
- 230000011218 segmentation Effects 0.000 description 6
- 238000011084 recovery Methods 0.000 description 4
- 239000011248 coating agent Substances 0.000 description 3
- 238000000576 coating method Methods 0.000 description 3
- 238000007710 freezing Methods 0.000 description 3
- 230000008014 freezing Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000000465 moulding Methods 0.000 description 3
- 238000007781 pre-processing Methods 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 238000011144 upstream manufacturing Methods 0.000 description 3
- 238000011179 visual inspection Methods 0.000 description 3
- 240000005856 Lyophyllum decastes Species 0.000 description 2
- 235000013194 Lyophyllum decastes Nutrition 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 2
- 235000007164 Oryza sativa Nutrition 0.000 description 2
- 235000013351 cheese Nutrition 0.000 description 2
- 238000013145 classification model Methods 0.000 description 2
- 238000011109 contamination Methods 0.000 description 2
- 238000010411 cooking Methods 0.000 description 2
- 238000003066 decision tree Methods 0.000 description 2
- 239000010985 leather Substances 0.000 description 2
- 238000007477 logistic regression Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 235000009566 rice Nutrition 0.000 description 2
- 235000017166 Bambusa arundinacea Nutrition 0.000 description 1
- 235000017491 Bambusa tulda Nutrition 0.000 description 1
- 241000282412 Homo Species 0.000 description 1
- 208000034693 Laceration Diseases 0.000 description 1
- 241000699670 Mus sp. Species 0.000 description 1
- 244000082204 Phyllostachys viridis Species 0.000 description 1
- 235000015334 Phyllostachys viridis Nutrition 0.000 description 1
- 241000269400 Sirenidae Species 0.000 description 1
- 239000011425 bamboo Substances 0.000 description 1
- 238000009835 boiling Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004040 coloring Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 235000015220 hamburgers Nutrition 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 239000013067 intermediate product Substances 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 235000012149 noodles Nutrition 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 239000005022 packaging material Substances 0.000 description 1
- 235000013550 pizza Nutrition 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000002834 transmittance Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
-
- 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
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
Definitions
- FIG. 1 is a block diagram of a food inspection system according to this embodiment;
- FIG. The figure which shows the example which conveys the processed food formed with the winding apparatus with a conveying apparatus.
- the figure which shows the example which a food inspection system communicates with a terminal device and a processing apparatus.
- the figure which shows the example which a different robot each performs the movement between several lanes.
- the communication unit 17 communicates with a terminal device operated by a user such as a worker or an observer, and a device (processing device such as the winding device 200, etc.) that performs each process.
- the communication unit 17 may perform either wired or wireless communication.
- the worker 241 performs correction work on the processed food F1 to change the processed food F1 from a correctable product to a non-defective product. For example, paste is applied to the triangular portion of the spring roll wrapper and then adhered to the main body. As a result, the processed food F1 is made non-defective.
- the non-defective processed food F1A may proceed to the next step in the same lane 2 as it is, or may be returned to the same lane 1 as the non-defective product by an operator or a robot.
- the gluing may be done at the winding device or sent to another device if gluing the leather is done by another device.
- the second transmitter may be physically the same circuit or device as the first transmitter, or may be a circuit or device different from the first transmitter.
- Another example of adjustment of operating parameters in a processing apparatus other than a winding apparatus is adjustment of the size of a molding frame, filling pressure, etc. in a forming apparatus.
Landscapes
- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Sorting Of Articles (AREA)
Abstract
Le problème décrit par la présente invention est de fournir un système d'inspection d'aliments et un procédé d'inspection d'aliments grâce auxquels il est possible de classer des aliments transformés en un type autre qu'en articles non défectueux et en articles défectueux. La solution selon la présente divulgation porte sur un système d'inspection d'aliments qui comprend un dispositif capteur qui détecte les aliments transformés qui sont transportés, et une unité de détermination qui détermine si les aliments transformés sont un article pouvant être corrigé qui peut être corrigé en un article non défectueux par un travail de correction sur la base d'informations détectées par le dispositif capteur.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2023505518A JPWO2022191091A1 (fr) | 2021-03-08 | 2022-03-04 |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2021036627 | 2021-03-08 | ||
| JP2021-036627 | 2021-03-08 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2022191091A1 true WO2022191091A1 (fr) | 2022-09-15 |
Family
ID=83227980
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/JP2022/009569 WO2022191091A1 (fr) | 2021-03-08 | 2022-03-04 | Système d'inspection d'aliments, procédé d'inspection d'aliments et programme informatique |
Country Status (2)
| Country | Link |
|---|---|
| JP (1) | JPWO2022191091A1 (fr) |
| WO (1) | WO2022191091A1 (fr) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06241746A (ja) * | 1993-02-18 | 1994-09-02 | Hitachi Ltd | 外観検査装置 |
| JPH08271436A (ja) * | 1995-03-29 | 1996-10-18 | Sharp Corp | カラーフィルタ基板の検査装置 |
| JP2002233827A (ja) * | 2001-02-13 | 2002-08-20 | Matsushita Electric Works Ltd | プリプレグの積載方法、及び、積載システム |
| JP2016045097A (ja) * | 2014-08-25 | 2016-04-04 | 日清オイリオグループ株式会社 | 食品の製造方法、食品の良品と不良品の選別方法及び食品製造装置 |
| WO2019151393A1 (fr) * | 2018-01-31 | 2019-08-08 | 株式会社ニチレイフーズ | Système d'inspection d'aliments, programme d'inspection d'aliments, procédé d'inspection d'aliments et procédé de production d'aliments |
| WO2021015093A1 (fr) * | 2019-07-19 | 2021-01-28 | パナソニックＩｐマネジメント株式会社 | Dispositif d'identification de facteur de dysfonctionnement, dispositif de détection de pré-indication de dysfonctionnement, procédé d'identification de facteur de dysfonctionnement et procédé de détection de pré-indication de dysfonctionnement |
-
2022
- 2022-03-04 JP JP2023505518A patent/JPWO2022191091A1/ja active Pending
- 2022-03-04 WO PCT/JP2022/009569 patent/WO2022191091A1/fr active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06241746A (ja) * | 1993-02-18 | 1994-09-02 | Hitachi Ltd | 外観検査装置 |
| JPH08271436A (ja) * | 1995-03-29 | 1996-10-18 | Sharp Corp | カラーフィルタ基板の検査装置 |
| JP2002233827A (ja) * | 2001-02-13 | 2002-08-20 | Matsushita Electric Works Ltd | プリプレグの積載方法、及び、積載システム |
| JP2016045097A (ja) * | 2014-08-25 | 2016-04-04 | 日清オイリオグループ株式会社 | 食品の製造方法、食品の良品と不良品の選別方法及び食品製造装置 |
| WO2019151393A1 (fr) * | 2018-01-31 | 2019-08-08 | 株式会社ニチレイフーズ | Système d'inspection d'aliments, programme d'inspection d'aliments, procédé d'inspection d'aliments et procédé de production d'aliments |
| WO2021015093A1 (fr) * | 2019-07-19 | 2021-01-28 | パナソニックＩｐマネジメント株式会社 | Dispositif d'identification de facteur de dysfonctionnement, dispositif de détection de pré-indication de dysfonctionnement, procédé d'identification de facteur de dysfonctionnement et procédé de détection de pré-indication de dysfonctionnement |
Also Published As
| Publication number | Publication date |
|---|---|
| JPWO2022191091A1 (fr) | 2022-09-15 |
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