GB2587511A - Optical inspection and sorting machine, and corresponding method thereof - Google Patents
Optical inspection and sorting machine, and corresponding method thereof Download PDFInfo
- Publication number
- GB2587511A GB2587511A GB2016718.5A GB202016718A GB2587511A GB 2587511 A GB2587511 A GB 2587511A GB 202016718 A GB202016718 A GB 202016718A GB 2587511 A GB2587511 A GB 2587511A
- Authority
- GB
- United Kingdom
- Prior art keywords
- objects
- optical
- sorting
- sorting machine
- leasâ
- 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.)
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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
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3425—Sorting according to other particular properties according to optical properties, e.g. colour of granular material, e.g. ore particles, grain
-
- 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
- B07C2501/00—Sorting according to a characteristic or feature of the articles or material to be sorted
- B07C2501/0018—Sorting the articles during free fall
Abstract
Proposed is an optical sorting machine (1) for sorting of granular objects (1.13) affected by a mold producing aflatoxin. Thus, the granular objects (1.31) can be at least partially contaminated (for example, hotspot contamination) by the highly toxic aflatoxin. The optical sorting machine (1) comprises feeders (1.11) for passing the objects (P) through a sorting zone (1.4). The sorting zone (1.4) comprises illumination means (1.6; 3, 3'), one or more optical detectors (1.7; 7) sensing reflected light or emitted fluorescent light (FE), and sorting means (1.5) for separating desired objects (1.131) showing no aflatoxin contamination to an accept stream (1.42) and undesired objects (1.132) showing an aflatoxin contamination to a reject stream (1.43).
Claims (16)
- Claims1 . An optical sorting machine (1 ) for sorting of granular objects (1 .13; P) that comprises a hopper (1 .1 ) and/or feeders (1 .1 1 ) for passing the objects (1 .13; P) to a sorting zone (1 .4), the sorting zone (1 .4) comprising illumination means (1 .6; 3, 3'), one or more optical sensors (1 .7; 7) sensing reflected (1 .62) or emitted (1 .63) light (FE) from the objects (1 .13; P), and sorting means (1 .5) for separating desired objects (1 .131 )â o an accept stream (1 .42) and undesired objects (1 .132) to a reject stream (1 .43), characterized in that the optical sorting machine ( 1 ) comprises optical splitter means (1 .81 ) for measuring luminous intensifies of the reflected (1 .62) and/or emitted light (1 .63), or a photometric equivalent thereof sensed by the optical sensors (1 .7; 7), in at leasâ a firsâ and a second wavelength range (1 .631 , 1 .632. 1 .63x), in that the optical sorting machine (1 ) comprises trigger means (1 .2) for triggering trigger identifications (1 .221 ) of undesired objects (1 .132) based on their luminous intensities measured in the aâ leasâ firsâ and the second wavelength range (1 .631 , 1 .632) of the emitted light (1 .63), by means of a plurality of defined sets of aâ leasâ 2-dimensional intensity trigger vectors (1 .21 ), wherein each defined set of intensity trigger vectors (1 .21 ) defines an intensity color space (31.34) of trigger identifications (1 .22) of objects by luminous intensities in the aâ leasâ firsâ and second wavelength ranges (1 .631 /1 .632), wherein at leasâ one of the intensity color spaces (32, 33) comprises trigger identifications (1 .22) of objects with a higher probability of correctly identifying undesired objects (1 .132) than at leasâ one other of the intensity color spaces (31 ,34), in that the optical sorting machine (1 ) comprises a frequency counter (1 .31 ) for measuring a frequency or number of undesired objects (1 .132) identified in the aâ leasâ one of the intensity color spaces (32, 33) with the higher probability of triggering undesired objects (1 .132), and comprises measuring means (1 .32) for measuring an overall frequency or number of objects passing the sorting zone (1 .4), and in that the optical sorting machine (1 ) comprises a steering device (1 .9) for controlling the operation of the sorting means (1 .5) by means of two switched modes switching between sorting and monitoring the operation of the sorting machine (1 ), wherein if a predefined threshold value of the frequency or number of undesired objects (1 .132) identified in the at least one of the intensity color spaces (32, 33) with the higher probability as a portion of the measured overall frequency or number of objects passing the sorting zone (1.4) is exceeded, then the sorting means (1 .5) are switched on â o sorting mode (1.931 ), while otherwise the sorting means (1.5) are switched off to only monitoring mode ( 1.932) of the optical sorting machine ( 1 ) .
- 2. The optical sorting machine (1 ) accordingâ o claim 1 , characterized in that the identified undesired objects (1.132) are objects contaminated by aflafoxin, wherein the objects (1.132) are affected by a mold producing aflatoxin.
- 3. The optical sorting machine (1 ) accordingâ o one of claims 1 or 2, characterized in that the optical sorting machine (1 ) comprises an interface module (1 .91 ) connecting the optical sorting machine (1 ) to the world-wide backbone network (1 .92; Internet) for automated access to location-specific data (1 .9212, 1 .922.1 .922x) related to the overall risk level or overall probability for aflatoxin contamination in the specific geographic area (1.94) in which the optical sorting machine (1 ) is located and/or that which the granular objects (1 .13) to be sorted come from and/or that in which at least one other sorting machine (1 ) is located, whereby either intensity color spaces (31.34) for triggering the identification of objects are modified based on the accessed data (1.921 1 , 1.921.1.92x1 ) or the predefined threshold value is modified based on the accessed data.
- 4. The optical sorting machine (1 ) accordingâ o one of claims 1 to 3, characterized in that the optical sorting machine (1 ) comprises an interface module (1 .91 ) connecting the optical sorting machine to the world-wide backbone network (1 .92; Internet), where when the frequency of occurrence of objects (1 .132) in the at least one intensity color space (32, 33) is higher than a second threshold, the sorting machine will create an alert over the Internet connection (1.92)â o warn an operator of the sorting machine (1 ) that the product contamination may be too high, resulting in a higher probability that the accept product (1.42) is also contaminated .
- 5. The optical sorting machine (1 ) accordingâ o one of claims 1 to 4, characterized in that the optical sorting machine (1 ) comprises an interface module (1 .91 ) connecting the optical sorting machine (1 ) to the world-wide backbone network (Internet), wherein the sorting machine (1 ) reports details of its mode of operation, either sorting or monitoring, to the cloud-based database, and this information being used for a technical billing procedure of a customer, providing a report to the customer, or both.
- 6. The optical sorting machine (1 ) according to one of claims 1â o 5, characterized in that the optical sorting machine (1 ) comprises an interface module (1 .91 ) connecting the optical sorting machine (1 )â o the world-wide backbone network (interneâ ) (1.92), wherein data on the sorting modes uploadedâ o a cloud-based database (1.921 ) by a plurality of sorting machines (1 ) is usedâ o assess the generated risk of contamination in the local area (1 .94) and/or is used for creating alertsâ o other users in the geographical area (1.94).
- 7. The optical sorting machine (1 ) according to one of claims 1â o 6, characterized in that the firsâ wavelength range (1.631 ) is between 450 - 495 nm in the blue light range and the second wavelength range (1 .632) is between 495 - 570 nm in the green light range.
- 8. The optical sorting machine (1 ) according to one of claims 1â o 7, characterized in that the one or more optical detectors (1 .7) aâ leasâ comprise cameras (1 .71 ) for splitting the received reflected or emitted light into two wavelength ranges using a prism with a dichroic filter element.
- 9. The optical sorting machine (1 ) according to one of claims 1â o 8, characterized in that the illumination means (1 .6) cause the objects (1.132) to fluoresce and comprise aâ leasâ one incident light emitter emitting one or more incident light beams, and further characterized in that the optical detectors (1 .7) are configuredâ o detect fluorescence emitted from the objects (1 .132).
- 10. The optical sorting machine (1 ) according to claim 9, characterized in that the incident light beam(s) comprise ultraviolet light (UV).
- 11. The optical sorting machine (1 ) according to one of claims 9 or 10, characterized in that the sorting machine (1 ) sensing the fluorescence emitted by the optical detectors (1 .7) comprises optical filters (1 .81 ) for isolating the incident light beam(s) and the emitted fluorescence.
- 12. The optical sorting machine (1 ) according to claim 1 1 , characterized in that the optical filters (1 .81 ) for isolating the incident light beam(s) and the emitted fluorescence comprise filter fluoromefers using filtersâ o isolate the incident light and fluorescence or specfrofluoromefers using diffraction grating monochromatorsâ o isolate the incident light and fluorescence.
- 13. The optical sorting machine (1 ) according to one of claims 1 to 12, characterized in that the one or more optical defectors (1 .7) aâ leasâ comprise cameras (1 .71 ) .
- 14. The optical sorting machine (1 ) according to one of claims 1 to 13, characterized in that the sorting means (1 .5) comprise one or more ejectors (1 .5) ejecting undesired objects (1 .132) from the objects (1 .13) to be sorted, thereby providing the accept stream (1 .42) and the reject stream (1 .43) .
- 15. The optical sorting machine (1 ) according to claim 14, characterized in that the one or more ejectors (1 .5) aâ leasâ comprise pneumatic ejectors (1 .51 ).
- 16. A method for an optical sorting machine (1 ) for sorting of granular objects (1 .13; P), which comprises passing the objects (1 .13; P) by a hopper (1 .1 ) and/or feeders (1 .1 1 ) and/or chutes (1 .12; 1 .121 , 1 .122.1 12x)â o a sorting zone (1 .4), the sorting zone (1 .4) comprising illumination means (1 .6; 3, 3'), one or more optical sensors (1 .7; 7) sensing reflected (1 .62) or emitted (1 .63) light (FE) from the objects (1 .13; P), and sorting means (1 .5) for separating desired objects (1 .131 )â o an accept stream (1 .42) and undesired objects (1 .132) to a reject stream (1 .43), characterized in that luminous intensities of the reflected (1 .62) and/or emitted light (1 .63) or a photometric equivalent thereof, sensed by the optical sensors (1 .7; 7) are measured by optical splitter means (1 .81 ), in at leasâ a firsâ and a second wavelength range (1 .631 , 1 .632. 1 .63x), in that trigger identifications (1 .221 ) of undesired objects (1 .132) are triggered by trigger means (1 .2) based on their luminous intensities measured in the at least first and the second wavelength range (1 .631 , 1 .632) of the emitted light (1 .63), by means of a plurality of defined sets of at least 2-dimensional intensity trigger vectors (1 -21 ), wherein each defined set of intensity trigger vectors (1 .21 ) defines an intensity color space (31.34) of trigger identifications (1 .22) of objects by luminous intensities in the at least first and second wavelength ranges (1 .631 /1 .632), wherein at least one of the intensity color spaces (32, 33) comprises trigger identifications (1 .22) of objects with a higher probability of correctly identifying undesired objects (1 .132) than at least one other of the intensity color spaces (31 ,34), in that a frequency or number of undesired objects (1 .132) is measured by a frequency counter (1 .31 ), which undesired objects (1 .132) are identified in the at least one of the intensity color spaces (32, 33) with the higher probability of triggering an undesired objects (1 .132), and an overall frequency or number of objects passing the sorting zone (1 .4) is measured by measuring means (1 .32), and in that the sorting means (1 .5) are operated and steered by a steering device (1 .9) comprising two switched modes switching between sorting and monitoring the operation of the sorting machine (1 ), wherein if a predefined threshold value of the frequency or number of undesired objects (1 .132) identified in the at least one of the intensity color spaces (32, 33) with the higher probability as a portion of the measured overall frequency or number of objects passing the sorting zone (1 .4) is exceeded, then the sorting means (1 .5) are switched on to sorting mode (1 .931 ), while otherwise the sorting means (1 .5) are switched off to only monitoring mode (1 .932) of the optical sorting machine (1 ).
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CH5152018 | 2018-04-20 | ||
CH5482018 | 2018-04-23 | ||
PCT/EP2019/059465 WO2019201786A1 (en) | 2018-04-20 | 2019-04-12 | Optical Inspection and Sorting Machine, and Corresponding Method Thereof |
Publications (3)
Publication Number | Publication Date |
---|---|
GB202016718D0 GB202016718D0 (en) | 2020-12-02 |
GB2587511A true GB2587511A (en) | 2021-03-31 |
GB2587511B GB2587511B (en) | 2022-06-08 |
Family
ID=66251748
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB2016718.5A Active GB2587511B (en) | 2018-04-20 | 2019-04-12 | Optical inspection and sorting machine, and corresponding method thereof |
Country Status (2)
Country | Link |
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GB (1) | GB2587511B (en) |
WO (1) | WO2019201786A1 (en) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2020418569A1 (en) * | 2019-12-29 | 2022-06-30 | Surenut Pty Ltd | A method for classification of an edible seed and a scanning device therefor |
US11783576B2 (en) * | 2020-10-29 | 2023-10-10 | Deere & Company | Method and system for optical yield measurement of a standing crop in a field |
CN113418896B (en) * | 2021-05-18 | 2023-01-10 | 中国农业大学 | Method for on-line high-throughput detection of aflatoxin in corn grains |
CN113414137B (en) * | 2021-05-18 | 2022-05-24 | 中国农业大学 | High-flux grain aflatoxin and external defect sorting machine |
IT202200001121A1 (en) * | 2022-01-24 | 2023-07-24 | Di Bartolo Srl | APPARATUS FOR THE INSPECTION AND SELECTION OF FOOD CONTAMINATED WITH AFLATOXINS |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0517950A1 (en) * | 1991-05-21 | 1992-12-16 | Esm International, Inc. | Sorting machine |
WO1994025838A1 (en) * | 1993-04-29 | 1994-11-10 | Centre De Recherche Industrielle Du Quebec | Method and apparatus for sensing the color of articles and for classification thereof |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB993063A (en) | 1962-04-30 | 1965-05-26 | Gunsons Sortex Ltd | Photoelectric sorting machine |
US3305089A (en) | 1965-08-13 | 1967-02-21 | Gunsons Sortex Ltd | Apparatus for sorting fluorescent articles |
US4535248A (en) | 1984-08-24 | 1985-08-13 | The United States Of America As Represented By The Secretary Of Agriculture | Method for detecting aflatoxin in almonds |
US4866283A (en) | 1988-08-12 | 1989-09-12 | Southwest Research Institute | Optical inspection of food products |
US6646264B1 (en) | 2000-10-30 | 2003-11-11 | Monsanto Technology Llc | Methods and devices for analyzing agricultural products |
US20100193412A1 (en) | 2009-02-02 | 2010-08-05 | Satake Usa, Inc. | Beam splitter |
IT1395845B1 (en) | 2009-06-30 | 2012-10-26 | Star Ecotronics S R L | AUTOMATED SYSTEM FOR THE REVELATION OF AFLATOSSIN IN FOODS |
JP2013514530A (en) | 2009-12-16 | 2013-04-25 | スペクトラリス イノベーション | Methods and spectroscopic instruments for analyzing foods in particular using multi-channel processing of spectroscopic data |
US8563934B2 (en) | 2010-09-10 | 2013-10-22 | Mississippi State University | Method and detection system for detection of aflatoxin in corn with fluorescence spectra |
US8841570B2 (en) | 2010-10-13 | 2014-09-23 | Paramount Farms International Llc | System and method for aflatoxin detection |
CN103234945B (en) | 2013-03-29 | 2016-05-25 | 合肥美亚光电技术股份有限公司 | Aflatoxin detects and sorting unit |
CN104646315B (en) | 2015-03-02 | 2019-02-05 | 青岛农业大学 | A kind of Intelligent agricultural product sorting machine with aflatoxins detection function |
CN105044062B (en) | 2015-07-31 | 2018-03-23 | 合肥美亚光电技术股份有限公司 | Aflatoxin on-line measuring device and the material separation device using the device |
-
2019
- 2019-04-12 WO PCT/EP2019/059465 patent/WO2019201786A1/en active Application Filing
- 2019-04-12 GB GB2016718.5A patent/GB2587511B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0517950A1 (en) * | 1991-05-21 | 1992-12-16 | Esm International, Inc. | Sorting machine |
WO1994025838A1 (en) * | 1993-04-29 | 1994-11-10 | Centre De Recherche Industrielle Du Quebec | Method and apparatus for sensing the color of articles and for classification thereof |
Also Published As
Publication number | Publication date |
---|---|
WO2019201786A1 (en) | 2019-10-24 |
GB2587511B (en) | 2022-06-08 |
GB202016718D0 (en) | 2020-12-02 |
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