WO1999026734A1 - Method and device for identifying and sorting objects conveyed on a belt - Google Patents
Method and device for identifying and sorting objects conveyed on a belt Download PDFInfo
- Publication number
- WO1999026734A1 WO1999026734A1 PCT/EP1998/007267 EP9807267W WO9926734A1 WO 1999026734 A1 WO1999026734 A1 WO 1999026734A1 EP 9807267 W EP9807267 W EP 9807267W WO 9926734 A1 WO9926734 A1 WO 9926734A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- objects
- conveyor belt
- detection
- nir
- point
- Prior art date
Links
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
-
- 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
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
Definitions
- the invention relates to a method for identifying and sorting belt-conveyed objects, in particular for sorting waste, in which the material properties of the objects are detected spectroscopically using an NIR measuring device and the sorting as a function of the spectroscopy
- the invention also relates to a device for carrying out this method.
- Another method for identifying and sorting belt-conveyed objects is known from DE 43 05 006 A1.
- the material properties of the objects to be sorted are recorded by means of a polarization interferometer, and a Fast Fourier analysis is used to evaluate the data supplied by this interferometer.
- Such a device for determining the material properties of the objects to be identified and sorted also has a detection area which is essentially limited to a single measuring point and is therefore subject to the same disadvantages as previously explained; that is, a relatively complex presorting and separation is required before the objects are fed to the point-like measuring location.
- such a measuring device is critical with regard to the distance to the measurement object.
- the invention has for its object to provide a method of the type mentioned in the preamble of claim 1, by means of which objects of any shape can be reliably identified and sorted, and which can in particular be integrated into existing waste sorting systems.
- a device for performing this method is to be provided.
- the method according to the invention eliminates the disadvantage of the prior art in terms of complex pre-sorting and separation by providing a relatively large detection area that can be approached differently by scanning the object's scanning movement of the measuring point of the NIR measuring device above the object-carrying conveyor belt.
- a scanning movement is preferably achieved by a scanning device in the form of a mirror arrangement for directing the measuring point of the NIR device onto the objects.
- the NIR measuring device can identify different object materials simultaneously. In principle, this requires longer exposure times or sampling times as with the NIR State of the art scanning. However, this is made up for by the fact that measurements do not have to be carried out at all locations on the conveying channel, but only where the image processing according to the invention, which precedes the NIR measurement, has located an object.
- the NIR spectral analysis is preceded by an image analysis, preferably a color image analysis, for localization, including optionally determining the shape and size of the objects to be identified.
- image analysis preferably a color image analysis, for localization, including optionally determining the shape and size of the objects to be identified.
- the information obtained by means of image analysis is used to control the movement of the scanning device connected upstream of the NIR measuring device; This means that only a specific scan of the objects to be identified follows, with the exception of points on the conveyor belt that are not occupied by objects. This makes the scanning process rational.
- the image analysis provides information about shape, size, color and, for example, texture, which ensures better selection.
- a new (color) image analysis based on another camera downstream of the separation point can be used to recognize the objects which have remained on the conveyor belt with regard to their possibly changed position, and without renewed NIR spectroscopy if the data this camera with the already acquired NIR data in a matching manner.
- the NIR values already obtained and saved can be used in every further separation step.
- the method according to the invention is based on the following principle:
- an object for example, garbage 1
- the position, shape, contour, size, color and texture can be recognized and the relevant parameters saved.
- the material properties of the objects are then determined using NIR spectroscopy.
- infrared radiation in NIR spectroscopy concentrates on only one measuring point.
- a mirror device is proposed which brings the infrared rays to the desired scanning point.
- the reverse procedure is preferred, i.e. illumination of the entire detection area and control of the measuring optics in such a way that only reflected infrared rays from desired measuring points on the respective object are detected.
- This mirror system is controlled with the help of previously obtained information from the image recognition.
- the data obtained from the (color) image recognition and infrared radiation are combined and provide signals for controlling a device for the targeted discharge of objects, for example in the form of a fading nozzle arrangement.
- the method according to the invention Identification and separation of several object fractions in a single system guaranteed. This system can easily be trained to recognize new objects by placing enough of these new objects on the conveyor belt in a learning phase.
- the method and the device according to the invention are particularly advantageously suitable for sorting household waste.
- the method according to the invention allows all objects to be visually localized on 1 m 2 of a conveyor belt in a period of less than 50 ms.
- the NIR measurement of an individual object typically requires 3 ms and the subsequent evaluation to identify the object typically takes 1 to 2 milliseconds.
- the device shown in the figure consists of three device complexes: an analysis complex 1 with a first separation complex, a second separation complex 2 and one third separation complex 3.
- Each of these three complexes 1, 2 and 3 comprises an endless belt conveyor 4, 5 and 6 with conveyor belts 7, 8 and 9, which are all arranged in the same horizontal plane and adjoin one another with the interposition of blow-off nozzle strips.
- a blow nozzle bar 10 is arranged between the downstream end of the belt conveyor 4 and the upstream end of the belt conveyor 5, while a blow nozzle bar 11 is arranged between the downstream end of the belt conveyor 5 and the upstream end of the belt conveyor 6.
- blow-off nozzle strips extends over the full width of the respective conveyor belt 7, 8 and 9, immediately adjoins their corresponding deflecting ends and is relatively narrow in order to ensure that conveyed on the conveyor track formed by the conveyor belts 7, 8 and 9 Goods can easily run over the blow-off nozzle strips 10, 11.
- a plurality of blowing nozzle openings extend across the blow nozzle bars 10, 11.
- the conveyor line defined by the belt conveyors or their conveyor belts, together with the units assigned to them, which are explained in more detail below, is used, for example, for sorting waste.
- the analysis complex 1 above the belt conveyor 4 of this complex comprises a color camera 12, an NIR spectrometer 13 with an NIR sensor 14 and an optical scanning head 15.
- a computer 16 is used, which is preferably arranged at a distance from the units 12 to 14 and can also be integrated into a computer network, as listed below.
- the outputs of the color camera 12 and the NIR spectrometer 13 are connected to corresponding inputs of the computer 16.
- the NIR sensor 14, which can also form an integral part of the NIR spectrometer 13, is connected to the NIR spectrometer for the transmission of measured values.
- the optical scanning head 15 consists of a (mirror) lens arrangement known per se, which can be displaced, for example by a motor, in such a way that a detection area 18 is scanned point by point on the conveyor belt 7, the scanned measuring point being input into the NIR sensor.
- a measuring point is designated by the reference number 19.
- the optical scanning head 15 is designed such that the detection area 18 has a rectangular shape, extends over the full width of the conveyor belt 7 and has a given length in the conveying direction. Typically, the detection area 18 has an area of approximately 1 m 2 when a standard conveyor belt with a width of 100 cm is used.
- the detection area 17 of the color camera 12 corresponds in terms of its shape and size to that of the detection area 18; that is, the detection area 17 also has a rectangular shape and extends over the full width of the conveyor belt 7 Analysis complex 1 by two detection areas, a detection area 17, in which the shape and / or surface condition and position of objects on the conveyor belt 7 are detected, and a detection area 18 downstream of this detection area for detecting the material properties of precisely these objects.
- the output data of the color camera 12 and the output data of the NIR spectrometer 13 are evaluated in the computer 16.
- objects on the belt conveyor can thus be classified and recorded in terms of shape, size, color, texture and the like.
- NIR spectroscopy enables a high spectral resolution of, for example, up to 256 (512) frequency channels with a width of approximately 2 to 4 nm at a single spatial measurement location. From this total information, material properties at the measuring location or at the object can be concluded. If the spatial resolution of the camera 12 is combined in the visible range with rapid control of the NIR measurement location over the respective detection range 17 to 18 of approximately 1 m 2 , an NIR measurement with spatial resolution can be simulated. This provides a very secure object localization and identification, without the need for complex object separation beforehand. This means that pre-separation is only necessary to the extent that the objects can be distinguished from one another in plan view.
- a further color camera 22 is arranged above the conveyor belt 8, which is connected to the computer 16 similarly to the color camera 12 of the analysis complex 1 and for detecting an area 23 on the conveyor belt 8 serves.
- the first separation complex 2 (as well as further downstream separation complexes, such as, for example, the separation complex 3) can be assigned its own computer which is networked with the computer 16, as mentioned above.
- This detection area 23 has the same shape size and relative position to the conveyor belt 8 as the detection areas 17 and 18 to the conveyor belt 7 of the first analysis complex.
- the detection data from the color camera 22 processed in the computer 16 permit detection of the remaining objects and, if necessary, their change in position.
- NIR values can be used and used for a further separation step that takes place downstream of the first separation complex, namely through the blow nozzle bar 11 between the belt conveyor 5 and the belt conveyor 6. Objects are discharged in a targeted manner in the direction of an arrow 24 to a collecting device 25 and from there via a chute or a cross conveyor 25a by means of the blow nozzle bar 11.
- the second separation complex 3 is constructed identically to the first separation complex 2 and accordingly has a further color camera 26 which captures an area 27 on the conveyor belt 9, the size and shape of which corresponds to that of the preceding detection areas.
- the operation of the second separation complex 3 corresponds to that of the first separation complex explained above, with the difference that the image reference data are used as reference data, which were acquired by the color camera 22 of the first separation complex, instead of the data provided by the color camera 12 of the analysis complex were.
- the device according to the invention explained above is not limited to the system shown with only three separation complexes. Rather, depending on the particular requirements, more separation complexes or only a single separation complex can be used.
- the cameras 12, 22 and 26 are color cameras; rather, black and white cameras can also be used if necessary.
Landscapes
- Sorting Of Articles (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Discharge Of Articles From Conveyors (AREA)
Abstract
Description
Claims
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2000521927A JP2001523574A (en) | 1997-11-22 | 1998-11-13 | Method and apparatus for identification and sorting of objects conveyed by a belt |
AU16699/99A AU1669999A (en) | 1997-11-22 | 1998-11-13 | Method and device for identifying and sorting objects conveyed on a belt |
AT98961191T ATE206961T1 (en) | 1997-11-22 | 1998-11-13 | METHOD AND DEVICE FOR IDENTIFYING AND SORTING BELT-CONVEYED OBJECTS |
EP98961191A EP1030740B1 (en) | 1997-11-22 | 1998-11-13 | Method and device for identifying and sorting objects conveyed on a belt |
CA002310838A CA2310838A1 (en) | 1997-11-22 | 1998-11-13 | Method and device for identifying and sorting objects conveyed on a belt |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE19751862.1 | 1997-11-22 | ||
DE19751862A DE19751862C2 (en) | 1997-11-22 | 1997-11-22 | Method and device for identifying and sorting belt-conveyed objects |
Publications (1)
Publication Number | Publication Date |
---|---|
WO1999026734A1 true WO1999026734A1 (en) | 1999-06-03 |
Family
ID=7849564
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP1998/007267 WO1999026734A1 (en) | 1997-11-22 | 1998-11-13 | Method and device for identifying and sorting objects conveyed on a belt |
Country Status (8)
Country | Link |
---|---|
EP (1) | EP1030740B1 (en) |
JP (1) | JP2001523574A (en) |
AT (1) | ATE206961T1 (en) |
AU (1) | AU1669999A (en) |
CA (1) | CA2310838A1 (en) |
DE (1) | DE19751862C2 (en) |
ES (1) | ES2166193T3 (en) |
WO (1) | WO1999026734A1 (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001038012A2 (en) * | 1999-11-25 | 2001-05-31 | Der Grüne Punkt - Duales System Deutschland Ag | Method and device for automatically sorting films according to type |
DE10024309A1 (en) * | 2000-05-17 | 2001-11-29 | Der Gruene Punkt Duales Syst | Method and device for the dry separation of collective waste with packaging waste |
WO2003013745A1 (en) * | 2001-08-07 | 2003-02-20 | Gabriele Canestrini | Method and apparatus for selecting different products and recyclable waste |
CN112918969A (en) * | 2021-01-21 | 2021-06-08 | 浙江万里学院 | Mobile garbage classification logistics sorting method |
CN113560215A (en) * | 2021-08-02 | 2021-10-29 | 苏州大航海创新科技有限公司 | Logistics sorting system based on two-dimensional code recognition |
Families Citing this family (26)
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DE10050739C1 (en) * | 2000-10-13 | 2002-02-28 | Sim Automation Gmbh & Co Kg | Re-orientation of device for loose items handles by industrial robot has sorting plate operated via setting piston for re-orientation and loosening of handled items |
DE10156157A1 (en) * | 2001-11-15 | 2003-05-28 | Bsh Bosch Siemens Hausgeraete | Method and device for identifying an object |
DK1483062T3 (en) * | 2002-01-16 | 2007-01-22 | Titech Visionsort As | Method and apparatus for identifying and sorting objects |
DE10245167B4 (en) * | 2002-09-26 | 2004-10-21 | Wincor Nixdorf International Gmbh | Device for sorting waste |
ES2407086T3 (en) | 2002-11-21 | 2013-06-11 | Tomra Sorting As | Procedure for the identification, classification and ordering of articles, objects and materials, as well as a recognition system for performing this procedure |
DE10258599A1 (en) * | 2002-12-14 | 2004-06-24 | Massen, Robert, Prof. Dr.-Ing. | Quality control method for streams of pneumatically transported fibrous and textile material in an unwoven state for identification of color or other impurities using a single chip color camera with a self-teach phase |
DE10326152A1 (en) * | 2003-06-06 | 2005-01-05 | Aventis Pharma Deutschland Gmbh | Method and device for the quantitative analysis of solutions and dispersions by means of near-infrared spectroscopy |
GB0322043D0 (en) * | 2003-09-20 | 2003-10-22 | Qinetiq Ltd | Apparatus for,and method of,classifying objects in waste stream |
GB0404617D0 (en) | 2004-03-02 | 2004-04-07 | Qinetiq Ltd | Sorting apparatus |
US20060178774A1 (en) * | 2005-02-10 | 2006-08-10 | Dan Reznik | Sortation platforms with in-bulk identification and continuous tracking of items |
DE102005061937B4 (en) * | 2005-12-23 | 2012-03-01 | Egn Entsorgungsgesellschaft Niederrhein Mbh | Method and device for separating metal / plastic composites, preferably boards, for the recycling of old electrical appliances |
JP5433182B2 (en) * | 2008-08-04 | 2014-03-05 | 東急建設株式会社 | Waste material discrimination method and material discrimination device |
DE102010014026B4 (en) | 2009-04-07 | 2020-09-24 | TUBIS License Management GmbH | High temperature mixer with gas-free entry |
DE102009036626A1 (en) * | 2009-08-07 | 2011-02-10 | Siemens Aktiengesellschaft | Method and device for transporting objects to image-pattern-dependent destination points |
NL2005216C2 (en) * | 2010-08-11 | 2012-02-20 | Optiserve B V | SORTING DEVICE AND METHOD FOR SEPARATING PRODUCTS IN A BULK FLOW OF NON-HOMOGENIC PRODUCTS. |
US9261403B2 (en) | 2010-08-31 | 2016-02-16 | Sicpa Holding Sa | Inline spectroscopic reader and methods |
JP5629362B2 (en) * | 2013-10-15 | 2014-11-19 | 東急建設株式会社 | Waste material discrimination method and material discrimination device |
CN106216219B (en) * | 2016-10-11 | 2018-09-18 | 山东为华智能设备制造有限公司 | A kind of visual identity coal and gangue and the system detached with manipulator |
SE543185C2 (en) | 2018-05-02 | 2020-10-20 | Envac Optibag Ab | Combined sorting of waste containers and materials |
CN108971190B (en) * | 2018-06-25 | 2021-12-28 | 大连大学 | Machine vision-based household garbage sorting method |
CN110182488A (en) * | 2019-05-23 | 2019-08-30 | 广州普慧环保科技股份有限公司 | A kind of Intelligent separated formula garbage deployment device |
WO2021046854A1 (en) * | 2019-09-14 | 2021-03-18 | 南京大学(溧水)生态环境研究院 | Big data-based kitchen waste classification method |
WO2021046851A1 (en) * | 2019-09-14 | 2021-03-18 | 南京大学(溧水)生态环境研究院 | Method for identification and classification of kitchen waste |
US20220339673A1 (en) * | 2019-09-23 | 2022-10-27 | Polysecure Gmbh | Sorting method |
CN113770059A (en) * | 2021-09-16 | 2021-12-10 | 中冶东方工程技术有限公司 | Intelligent sorting system and method for steel structure parts |
DE102022102016A1 (en) * | 2022-01-28 | 2023-08-03 | Stadler Anlagenbau Gmbh | Process for operating a waste sorting plant |
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WO1994025186A1 (en) * | 1993-04-30 | 1994-11-10 | Robert Massen | Process and device for sorting materials |
EP0721807A2 (en) * | 1995-01-11 | 1996-07-17 | MANNESMANN Aktiengesellschaft | Control for handling installation |
Family Cites Families (2)
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DE4305006A1 (en) * | 1992-03-23 | 1993-09-30 | Buehler Ag | Automatic handling, sorting and sepn. of waste material - preliminarily sorts by size, density or volume and secondarily identifies by spectrographic analysis, for reclaiming recyclable items |
DE4320331A1 (en) * | 1993-06-20 | 1994-12-22 | Robert Prof Dr Ing Massen | Flexible optical sorting of hollow bodies |
-
1997
- 1997-11-22 DE DE19751862A patent/DE19751862C2/en not_active Revoked
-
1998
- 1998-11-13 AU AU16699/99A patent/AU1669999A/en not_active Abandoned
- 1998-11-13 WO PCT/EP1998/007267 patent/WO1999026734A1/en active IP Right Grant
- 1998-11-13 EP EP98961191A patent/EP1030740B1/en not_active Expired - Lifetime
- 1998-11-13 JP JP2000521927A patent/JP2001523574A/en active Pending
- 1998-11-13 AT AT98961191T patent/ATE206961T1/en active
- 1998-11-13 ES ES98961191T patent/ES2166193T3/en not_active Expired - Lifetime
- 1998-11-13 CA CA002310838A patent/CA2310838A1/en not_active Abandoned
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1994025186A1 (en) * | 1993-04-30 | 1994-11-10 | Robert Massen | Process and device for sorting materials |
EP0721807A2 (en) * | 1995-01-11 | 1996-07-17 | MANNESMANN Aktiengesellschaft | Control for handling installation |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001038012A2 (en) * | 1999-11-25 | 2001-05-31 | Der Grüne Punkt - Duales System Deutschland Ag | Method and device for automatically sorting films according to type |
WO2001038012A3 (en) * | 1999-11-25 | 2002-01-17 | Der Gruene Punkt Duales Syst | Method and device for automatically sorting films according to type |
DE10024309A1 (en) * | 2000-05-17 | 2001-11-29 | Der Gruene Punkt Duales Syst | Method and device for the dry separation of collective waste with packaging waste |
WO2003013745A1 (en) * | 2001-08-07 | 2003-02-20 | Gabriele Canestrini | Method and apparatus for selecting different products and recyclable waste |
CN112918969A (en) * | 2021-01-21 | 2021-06-08 | 浙江万里学院 | Mobile garbage classification logistics sorting method |
CN112918969B (en) * | 2021-01-21 | 2022-05-24 | 浙江万里学院 | Mobile garbage classification logistics sorting method |
CN113560215A (en) * | 2021-08-02 | 2021-10-29 | 苏州大航海创新科技有限公司 | Logistics sorting system based on two-dimensional code recognition |
Also Published As
Publication number | Publication date |
---|---|
CA2310838A1 (en) | 1999-06-03 |
ES2166193T3 (en) | 2002-04-01 |
EP1030740B1 (en) | 2001-10-17 |
DE19751862C2 (en) | 2002-09-19 |
JP2001523574A (en) | 2001-11-27 |
ATE206961T1 (en) | 2001-11-15 |
AU1669999A (en) | 1999-06-15 |
DE19751862A1 (en) | 1999-05-27 |
EP1030740A1 (en) | 2000-08-30 |
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