EP2110187B1 - Method for identifying, classifying and sorting objects and materials and a recognition system for carrying out this method - Google Patents

Method for identifying, classifying and sorting objects and materials and a recognition system for carrying out this method Download PDF

Info

Publication number
EP2110187B1
EP2110187B1 EP09008037A EP09008037A EP2110187B1 EP 2110187 B1 EP2110187 B1 EP 2110187B1 EP 09008037 A EP09008037 A EP 09008037A EP 09008037 A EP09008037 A EP 09008037A EP 2110187 B1 EP2110187 B1 EP 2110187B1
Authority
EP
European Patent Office
Prior art keywords
items
conveyor belt
objects
sorting
unit
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.)
Revoked
Application number
EP09008037A
Other languages
German (de)
French (fr)
Other versions
EP2110187A1 (en
Inventor
Christian Gurschler
Axel Dr. Kulcke
Raimund Leitner
Werner Dr. Scherf
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tomra Sorting AS
Original Assignee
Titech Visionsort AS
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=32180923&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=EP2110187(B1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Titech Visionsort AS filed Critical Titech Visionsort AS
Publication of EP2110187A1 publication Critical patent/EP2110187A1/en
Application granted granted Critical
Publication of EP2110187B1 publication Critical patent/EP2110187B1/en
Anticipated expiration legal-status Critical
Revoked legal-status Critical Current

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting 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
    • B07C5/36Sorting apparatus characterised by the means used for distribution
    • B07C5/363Sorting apparatus characterised by the means used for distribution by means of air
    • B07C5/367Sorting apparatus characterised by the means used for distribution by means of air using a plurality of separation means
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting 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
    • B07C5/04Sorting according to size
    • B07C5/10Sorting according to size measured by light-responsive means
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting 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
    • B07C5/34Sorting according to other particular properties
    • B07C5/342Sorting according to other particular properties according to optical properties, e.g. colour

Definitions

  • the invention relates to a method for identifying, classifying and sorting objects, objects and materials, wherein in one method step the spectral data, such as color, chemical properties, and spatial data, such as shape, size, position and / or structure of relative to Measurement unit of moving or moving objects, objects and materials in both planar dimensions with high spatial and full spectral resolution in real time and detected, and the objects, objects and materials thus detected are classified by this data in real time and then sorted, and wherein the a sorting criterion corresponding items are withdrawn from the process cycle by means of a sorting device, preferably by means of a controllable air flow, without interruption of the overall process.
  • the invention further relates to an arrangement for carrying out this method.
  • an automated sorting method in which the identification of the objects to be sorted is performed by means of spectral data analysis.
  • the spectral data for a given amount of objects to be sorted are determined and forwarded for subsequent classification to a computer unit.
  • This method is complicated in terms of apparatus technology, since such a detection system consists of three subsystems, namely an image analysis system, a scanning device and an NIR (near infrared) spectrometer.
  • Another known method for classifying objects, objects and materials is the measurement of spectral properties on a measurement object in one or more optical wavelength ranges and the evaluation of the spectral absorption, emission or reflection patterns thus obtained.
  • these methods assume that the measuring spot is representative of the entire object to be measured. If this is not guaranteed, for example, if there is a possibility that the object is made by other materials is contaminated or covered, inhomogeneous, or if the measurement objects have a relevant surface structure to be detected, these methods are insufficient. For such cases, the use of systems is required with which the required spectral information can be detected spatially resolved.
  • a method of the type mentioned is proposed, which is characterized in that a recognition system, consisting of a detection unit for the simultaneous determination of spatially resolved image and spectral data in real time, which is above the on a transport system, preferably a conveyor track, distributed to be sorted objects to be positioned, and one with this unit connected evaluation unit for evaluating the determined multispectral image data is used, and that as the detection unit, an imaging spectrograph is used in combination with a recording unit, whereby lines which are transverse to the direction of relative movement between the observed object, object or material and the detection unit, with Mapped by an appropriate, spectrally matched optics and fed through an entrance slit the imaging spectrograph, which with a wavelength-dispersive element, preferably a transmission grating, for the extraction of the spect alinformation from a light beam is equipped, so that at the exit side of the spectrograph, while preserving the spatial information of the imaged line, the light beams of the imaged lines are spectrally
  • the invention further relates to an arrangement for carrying out the method according to the invention, comprising a detection system consisting of a detection unit, which is positioned above on a transport system, and an evaluation unit connected to this unit, wherein the detection unit used is an imaging spectrograph in combination with a recording unit is provided, and being provided as Transportanalge a continuous conveyor track and at least one means operatively connected to the detection unit for sorting out of the sorting criteria corresponding detected objects, objects or materials.
  • a detection system consisting of a detection unit, which is positioned above on a transport system, and an evaluation unit connected to this unit, wherein the detection unit used is an imaging spectrograph in combination with a recording unit is provided, and being provided as Transportanalge a continuous conveyor track and at least one means operatively connected to the detection unit for sorting out of the sorting criteria corresponding detected objects, objects or materials.
  • the following ranges and / or subregions of the ranges and / or combinations of the ranges are used as spectral ranges: ultraviolet (UV, 200-380 nm), visible light (380-780 nm), near infrared ( NIR, 780 - 2500 nm) and mid-infrared (> 2.5 ⁇ m).
  • UV, 200-380 nm ultraviolet
  • visible light 380-780 nm
  • NIR, 780 - 2500 nm near infrared
  • mid-infrared > 2.5 ⁇ m
  • An exemplary application for the method according to the invention is the sorting of articles in terms of material or type, Objects and materials, such as waste materials, but also the treatment of recycled materials. It is known to sort by hand any kind of items, such as waste and recycled material. It is based on criteria such as color, shape and composition of the items to be sorted. Although presorting by hand, as is done, for example, with smaller amounts of waste in households, is a relief for further waste disposal, yet manual sorting are consuming to perform. In order to simplify the sorting or to enable the sorting of health-endangering or harmful substances, the method according to the invention can be used here.
  • Another application example is the use of the method according to the invention for in-line quality control of products during the production process, for example of surface coatings.
  • the use of the method according to the invention makes it possible to control the distribution, homogeneity and quality of a coating process in real time for this application.
  • this recognition system consists of an imaging spectrograph in combination with a recording unit.
  • This system is characterized in that lines which extend transversely to the direction of relative movement between the object to be measured and detection unit, with Mapped by an appropriate, spectrally matched optics and fed via an entrance slit an imaging spectrograph, which is equipped with a wavelength dispersive element for spectral dissection of the lines, so that decomposed at the exit side of the spectrograph, the incoming light into the corresponding spectral regions and a receiving unit is shown.
  • the data determined as explained above are subsequently forwarded to the evaluation unit, which consists for example of an electronic data processing system.
  • the data transmitted at high speed from the detection unit are first read in by means of a corresponding computer software program.
  • the computer software includes a number of mathematical algorithms for processing in real time the data streams determined using the recognition system (s).
  • this classification serves to associate the detected objects with groups having similar or comparable properties, such as in the case according to the invention, shape, size, color, structure and / or chemical constitution, as well as combinations of these and / or similar parameters.
  • colors can also be captured with the help of conventional color cameras, these are limited to three color channels, so that a color classification can be made only with great technical effort or reduced precision.
  • the method according to the invention enables a spectral decomposition which is typical for 100 to 200 wavelengths, so that a precise identification and classification can be achieved the items to be sorted is guaranteed.
  • the unit-detectable spectral range it may be advantageous for specific applications to equip the overall system with two or more detection units, each consisting of spectrally tuned optics, imaging spectrograph, and camera. This makes it possible to broaden the information base of the classification and thus to increase the classification reliability.
  • the detection units are preferably integrated into the overall system in such a way that they run synchronously with each other and detect the same observation field.
  • the detection units can optionally be connected to a common or individual recognition and evaluation units.
  • the data is transmitted to the evaluation unit 3 and further processed there.
  • Two categories of data are simultaneously determined with the recognition system used according to the invention, namely on the one hand the spectral data for determining the color and / or the chemical properties and on the other hand the image data for determining the shape, position, size and / or structure of the objects to be classified.
  • the shape of the objects is captured by capturing and evaluating the lines across the conveyor belt with a typical resolution of between 128 points and 1600 points. Due to the sequential recording of the lines, a two-dimensional image emerges from the aforementioned lines. From this data set, the geometric properties of the objects to be classified can be determined.
  • the data processing includes a dark current correction, a referencing to a standard, a normalization of the spectra, a filter stage to reduce the noise, the calculation of the 1st or 2nd derivative as well as the actual classification according to a specific application and optimized algorithm.
  • Further functions can be, for example, those for determining the center of gravity and / or the object or class edges and / or other object properties by means of image processing algorithms. This makes it possible to precise the objects to be separated recognize, classify in real time and in the further example to make a corresponding sorting.
  • the data is transmitted via a user-defined interface, another model of the computer software, to the corresponding control components, for example a higher-level process control system or, as in this exemplary application, to an automated sorting unit , about controllable exhaust nozzles, forwarded.
  • an automated sorting for example by blowing out or by means of controlled flaps, can thus take place after the determination of the aforementioned data.
  • nozzle row 5 is as out FIGS. 3 and 4 can be seen, advantageously arranged below the strands of the strips 13 carrying the articles.
  • Another preferred method is the use of an additional cross conveyor belt 6, which is mounted at a distance of, for example, 30 cm across the transport conveyor belt 4.
  • the articles to be discharged are in this embodiment swirled through the discharge nozzles on this conveyor belt and then transported away on the cross conveyor belt.
  • This sorting process is based on the representation according to Fig. 3 explained in more detail. It's too see that the conveyor belt 4 in the longitudinal direction of a plurality of spaced apart, for example, about 50 strips 13 consists.
  • the nozzle row 5 is mounted so that the individual nozzles 14 between the strips 13 of the conveyor belt come into effect.
  • the method according to the invention for identifying, classifying and sorting objects can therefore be carried out in a simple manner, since geometric and spectral data, for example concerning color and / or chemical data, of a unit simultaneously and with high spatial and spectral resolution in real time Characteristics of the objects to be measured are recorded.
  • the method according to the invention is particularly relevant in the case of measurement objects which are in motion relative to the recognition system for process engineering or other reasons.
  • the method according to the invention can be carried out in a simple manner, in particular with the aid of the recognition system used according to the invention, consisting of a unit for the simultaneous determination of image and spectral data and a unit connected therewith for evaluating the determined image and spectral data.

Landscapes

  • Sorting Of Articles (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Description

Die Erfindung betrifft ein Verfahren zum Identifizieren, Klassifi zieren und Sortieren von Gegenständen, Objekten und Materialien, wobei in einem Verfahrensschritt die spektralen Daten, wie Farbe, chemische Eigenschaften, und räumlichen Daten, wie Form, Größe, Lage und/oder Struktur von relativ zur Messeinheit bewegten oder sich bewegenden Gegenständen, Objekten und Materialien in beiden ebenen Dimensionen mit hoher räumlicher und voller spektraler Auflösung in Echtzeit ermittelt und erfasst, und die so erfassten Gegenstände, Objekte und Materialien anhand dieser Daten in Echtzeit klassifiziert und anschließend sortiert werden, und wobei die einem Sortierkriterium entsprechenden Gegenstände mittels einer Sortiervorrichtung, bevorzugt mittels eines steuerbaren Luftstroms, ohne Unterbrechung des Gesamtprozesses aus dem Verfahrenskreislauf abgezogen werden. Die Erfindung betrifft weiters eine Anordnung zur Durchführung dieses Verfahrens.The invention relates to a method for identifying, classifying and sorting objects, objects and materials, wherein in one method step the spectral data, such as color, chemical properties, and spatial data, such as shape, size, position and / or structure of relative to Measurement unit of moving or moving objects, objects and materials in both planar dimensions with high spatial and full spectral resolution in real time and detected, and the objects, objects and materials thus detected are classified by this data in real time and then sorted, and wherein the a sorting criterion corresponding items are withdrawn from the process cycle by means of a sorting device, preferably by means of a controllable air flow, without interruption of the overall process. The invention further relates to an arrangement for carrying out this method.

In einer Reihe von industriellen Prozessen sind Verfahren zur Identifikation bzw. Klassifikation von Gegenständen, Objekten und Materialien ein wichtiges Instrument zur Prozessführung bzw. -kontrolle.In a number of industrial processes, methods for identifying or classifying objects, objects, and materials are an important tool for process control.

So wird gemäß der DE-A1 19751862 ein automatisiertes Sortierverfahren angegeben, bei welchem die Identifikation der zu sortierenden Gegenstände mit Hilfe von Spektraldatenanalyse durchgeführt wird. Je nach Ansteuerung der dem Spektrometer vorgeschalteten Abtasteinrichtung beim Identifiziervorgang werden die Spektraldaten für eine vorgegebene Menge an zu sortierenden Gegenständen ermittelt und für die anschließende Klassifizierung an eine Rechnereinheit weitergeleitet. Dieses Verfahren ist in apparatetechnischer Hinsicht aufwendig, da ein derartiges Erkennungssystem aus drei Subsystemen, nämlich einem Bildanalysesystem, einer Abtasteinrichtung und einem NIR-(nahes Infrarot) Spektrometer besteht.Thus, according to the DE-A1 19751862 an automated sorting method is provided in which the identification of the objects to be sorted is performed by means of spectral data analysis. Depending on the control of the spectrometer upstream scanning device in the identification process, the spectral data for a given amount of objects to be sorted are determined and forwarded for subsequent classification to a computer unit. This method is complicated in terms of apparatus technology, since such a detection system consists of three subsystems, namely an image analysis system, a scanning device and an NIR (near infrared) spectrometer.

Eine weitere bekannte Methode zur Klassifizierung von Gegenständen, Objekten und Materialien ist die Messung von spektralen Eigenschaften an einem Messobjekt in einem oder mehreren optischen Wellenlängenbereichen und die Auswertung der so erhaltenen spektralen Absorptions-, Emissions- oder Reflektionsmuster. Diese Verfahren setzen allerdings voraus, dass der Messfleck repräsentativ für das gesamte Messobjekt ist. Wenn dies nicht gewährleistet ist, beispielsweise wenn die Möglichkeit besteht, dass das Objekt durch andere Materialien verunreinigt oder überdeckt wird, inhomogen ist, oder wenn die Messobjekte eine relevante Oberflächenstruktur aufweisen, die erfasst werden soll, so sind diese Methoden unzureichend. Für derartige Fälle ist die Verwendung von Systemen erforderlich, mit welchen die benötigte Spektralinformation ortsaufgelöst erfasst werden kann.Another known method for classifying objects, objects and materials is the measurement of spectral properties on a measurement object in one or more optical wavelength ranges and the evaluation of the spectral absorption, emission or reflection patterns thus obtained. However, these methods assume that the measuring spot is representative of the entire object to be measured. If this is not guaranteed, for example, if there is a possibility that the object is made by other materials is contaminated or covered, inhomogeneous, or if the measurement objects have a relevant surface structure to be detected, these methods are insufficient. For such cases, the use of systems is required with which the required spectral information can be detected spatially resolved.

Es ist bekannt, in diesem Bereich Filtersysteme zu verwenden, wobei wahlweise diskrete Filter bei Beobachtung weniger, ausgewählter Wellenlängen eingesetzt werden oder wobei durch Verwendung von durchstimmbaren optischen Filtern ein multispektrales Bild, in Kombination mit einer Aufnahmeeinheit, üblicherweise einer Kamera, erfasst wird. Ein derartiges System unter Verwendung von akustisch durchstimmbaren optischen Filtern wird in US-A-5,216,484 beschrieben. Die Einschränkung bei Verwendung von Filtersystemen mit mehr als einer beobachteten Wellenlänge ist, dass sich das Messobjekt während der Dauer der Messung relativ zur Messeinrichtung nicht bewegen darf. Bei Auftreten einer Relativbewegung werden eine Reihe von Bildern erhalten, die einzelne Abbilder des Messobjektes bei einzelnen Wellenlängen, jedoch an unterschiedlichen Positionen sind, wodurch kein vollständiges Abbild eines bewegten Messobjektes erhalten werden kann. Durch diese Einschränkung kann die Anforderung der Messung mit hoher Auflösung in beiden ebenen Dimensionen und in Echtzeit ohne Unterbrechung des Prozesses von derartigen Systemen nicht erfüllt werden.It is known to use filter systems in this field, optionally using discrete filters when observing a few, selected wavelengths, or by using tunable optical filters to acquire a multispectral image in combination with a capture unit, usually a camera. Such a system using acoustically tunable optical filters is disclosed in US Pat US-A-5,216,484 described. The limitation when using filter systems with more than one observed wavelength is that the object to be measured may not move relative to the measuring device during the duration of the measurement. When a relative movement occurs, a series of images are obtained which are individual images of the measurement object at individual wavelengths but at different positions, whereby a complete image of a moving measurement object can not be obtained. This limitation can not meet the requirement of high resolution measurement in both planar dimensions and in real time without interrupting the process of such systems.

Aus der WO-A-01/67073 ist ein Verfahren zur Qualitätskontrolle von Obst bekannt, wobei als Analysemethode die nahe Infrarotspektroskopie verwendet wird. Allerdings ist diese Methode auf Teilbereiche des Analysegegenstandes limitiert, sodass vom Analysegegenstand nur ausschnittsweise spektroskopische Daten ermittelt werden. Hier will die Erfindung Abhilfe schaffen.From the WO-A-01/67073 a method for quality control of fruit is known, using as the analytical method, the near infrared spectroscopy. However, this method is limited to subareas of the analysis object, so that only partial spectroscopic data are determined from the analysis object. The invention aims to remedy this situation.

Aufgabe der vorliegenden Erfindung ist es daher, die Nachteile der aus dem Stand der Technik vorbekannten Verfahren zum Identifizieren und Klassifizieren von Gegenständen, Objekten und Materialien zu beseitigen, wobei gleichzeitig eine einfache Verfahrensführung gewährleistet sein soll.It is therefore an object of the present invention to eliminate the disadvantages of the prior art methods for identifying and classifying objects, objects and materials, at the same time ensuring a simple procedure.

Erfindungsgemäß wird ein Verfahren der eingangs genannten Art vorgeschlagen, welches dadurch gekennzeichnet ist, dass ein Erkennungssystem, bestehend aus einer Detektionseinheit zur simultanen Ermittlung von räumlichen aufgelösten Bild- und Spektraldaten in Echtzeit, welche oberhalb der auf einer Transportanlage, vorzugsweise einer Förderbahn, verteilten, zu sortierenden Gegenständen positioniert ist, und einer mit dieser Einheit verbundenen Auswerteeinheit zum Auswerten der ermittelten multispektralen Bilddaten, verwendet wird, und dass als Detektionseinheit ein bildgebender Spektrograph in Kombination mit einer Aufnahmeeinheit verwendet wird, wodurch Linien, welche quer zur Richtung der Relativbewegung zwischen dem beobachteten Gegenstand, Objekt oder Material und der Detektionseinheit verlaufen, mit Hilfe einer geeigneten, spektral abgestimmten Optik abgebildet und über einen Eintrittsspalt dem bildgebenden Spektrographen zugeführt werden, welcher mit einem wellenlängendispersiven Element, bevorzugt einem Transmissionsgitter, zur Extraktion der Spektralinformation aus einem Lichtstrahl ausgerüstet ist, so dass an der Austrittseite des Spektrographen unter Erhalt der räumlichen Information der abgebildeten Linie die Lichtstrahlen der abgebildeten Linien spektral zerlegt und auf der Aufnahmeeinheit abgebildet werden.According to the invention, a method of the type mentioned is proposed, which is characterized in that a recognition system, consisting of a detection unit for the simultaneous determination of spatially resolved image and spectral data in real time, which is above the on a transport system, preferably a conveyor track, distributed to be sorted objects to be positioned, and one with this unit connected evaluation unit for evaluating the determined multispectral image data is used, and that as the detection unit, an imaging spectrograph is used in combination with a recording unit, whereby lines which are transverse to the direction of relative movement between the observed object, object or material and the detection unit, with Mapped by an appropriate, spectrally matched optics and fed through an entrance slit the imaging spectrograph, which with a wavelength-dispersive element, preferably a transmission grating, for the extraction of the spect alinformation from a light beam is equipped, so that at the exit side of the spectrograph, while preserving the spatial information of the imaged line, the light beams of the imaged lines are spectrally decomposed and imaged on the recording unit.

Die Erfindung betrifft weiters eine Anordnung zum Ausführen des erfindungsgemäßen Verfahrens, umfassend ein Erkennungssystem, bestehend aus einer Detektionseinheit, welche oberhalb der auf einer Transportanlage positioniert ist, und einer mit dieser Einheit verbundenen Auswerteeinheit, wobei als Detektionseinheit ein bildgebender Spektrograph in Kombination mit einer Aufnahmeeinheit verwendet wird, und wobei als Transportanalge eine durchgängige Förderbahn und wenigstens eine mit der Detektionseinheit wirkmäßig verbundene Einrichtung zum Aussortieren von den Sortierkriterien entsprechend erkannten Gegenständen, Objekten oder Materialien vorgesehen sind. Weitere vorteilhafte Ausgestaltungen dieser Anordnung sind Gegenstand der Unteransprüche.The invention further relates to an arrangement for carrying out the method according to the invention, comprising a detection system consisting of a detection unit, which is positioned above on a transport system, and an evaluation unit connected to this unit, wherein the detection unit used is an imaging spectrograph in combination with a recording unit is provided, and being provided as Transportanalge a continuous conveyor track and at least one means operatively connected to the detection unit for sorting out of the sorting criteria corresponding detected objects, objects or materials. Further advantageous embodiments of this arrangement are the subject of the dependent claims.

Für die Durchführung des erfindungsgemäßen Verfahrens kommen als Spektralbereiche beispielsweise die folgenden Bereiche und/oder Subbereiche der Bereiche und/oder Kombinationen der Bereiche zur Anwendung: Ultraviolett (UV, 200 - 380 nm), sichtbares Licht (380 - 780 nm), nahes Infrarot (NIR, 780 - 2500 nm) und mittleres Infrarot (> 2,5 µm). Die so erfassten Gegenstände, Objekte und Materialien können anhand dieser Daten in Echtzeit klassifiziert und anschließend beispielsweise automatisiert sortiert werden.For carrying out the method according to the invention, the following ranges and / or subregions of the ranges and / or combinations of the ranges are used as spectral ranges: ultraviolet (UV, 200-380 nm), visible light (380-780 nm), near infrared ( NIR, 780 - 2500 nm) and mid-infrared (> 2.5 μm). The objects, objects and materials thus captured can be classified on the basis of this data in real time and then sorted automatically, for example.

Ein beispielhafter Anwendungsfall für das erfindungsgemäße Verfahren ist die material- bzw. sortenreine Sortierung von Gegenständen, Objekten und Materialien, wie Abfallstoffen, aber auch die Aufbereitung von Recycling-Materialien. Es ist bekannt, jegliche Art von Gegenständen, wie Abfallstoffe und Recycling-Material, per Hand zu sortieren. Dabei wird nach Kriterien wie Farbe, Form und Zusammensetzung der zu sortierenden Gegenstände vorgegangen. Obzwar eine Vorsortierung per Hand, wie dies beispielsweise bei kleineren Müllmengen in Haushalten durchgeführt wird, eine Erleichterung für die weitere Abfallentsorgung ist, sind dennoch manuelle Sortierverfahren aufwendig durchzuführen. Um die Sortierung zu vereinfachen bzw. die Sortierung von gesundheitsgefährdenden oder gesundheitsschädlichen Stoffen zu ermöglichen, kann hier das erfindungsgemäße Verfahren eingesetzt werden.An exemplary application for the method according to the invention is the sorting of articles in terms of material or type, Objects and materials, such as waste materials, but also the treatment of recycled materials. It is known to sort by hand any kind of items, such as waste and recycled material. It is based on criteria such as color, shape and composition of the items to be sorted. Although presorting by hand, as is done, for example, with smaller amounts of waste in households, is a relief for further waste disposal, yet manual sorting are consuming to perform. In order to simplify the sorting or to enable the sorting of health-endangering or harmful substances, the method according to the invention can be used here.

Ein weiteres Anwendungsbeispiel ist die Verwendung des erfindungsgemäßen Verfahrens zur in-line Qualitätskontrolle von Produkten während des Produktionsprozesses, beispielsweise von Oberflächenbeschichtungen. Die Verwendung des erfindungsgemäßen Verfahrens ermöglicht für diese Anwendung die Kontrolle der Verteilung, Homogenität und Qualität eines Beschichtungsprozesses in Echtzeit. Zusätzlich lassen sich durch Anwendung von Bildverarbeitungsalgorithmen auf das Klassifikationsergebnis automatisiert und in Echtzeit Aussagen, beispielsweise über die räumliche und/oder die Größenverteilung von Irregularitäten treffen, was als Regel- und/oder Qualitätssicherungsparameter für die Prozessführung von essentieller Bedeutung für eine effiziente und störungsarme Produktion ist. Gegenüber dem Stand der Technik, namentlich (i) off-line Stichprobenprüfungen, (ii) nicht-ortsaufgelösten on-line Summenprüfverfahren, im Anwendungsbeispiel Flächenwiderstand und/oder -kapazität, oder (iii) der, aus apparatetechnischer und finanzieller Hinsicht aufwendigen Verwendung mehrerer, über die Breite der Förderanlage verteilten Einzelmessköpfe, stellt das erfindungsgemäße Verfahren somit einen signifikanten Fortschritt dar.Another application example is the use of the method according to the invention for in-line quality control of products during the production process, for example of surface coatings. The use of the method according to the invention makes it possible to control the distribution, homogeneity and quality of a coating process in real time for this application. In addition, by applying image processing algorithms to the classification result, it is possible to automatically and in real time make statements, for example about the spatial and / or the size distribution of irregularities, which is an essential control and / or quality assurance parameter for the process control of essential importance for efficient and low-interference production , Compared to the state of the art, namely (i) off-line sampling tests, (ii) non-spatially resolved on-line sum testing, in the example sheet resistance and / or capacity, or (iii) the costly use of a plurality of apparatus, and equipment, distributed over the width of the conveyor individual measuring heads, the inventive method thus represents a significant advance.

Mit dem erfindungsgemäßen Verfahren können Linien quer zur Richtung der relativen Bewegung der zu klassifizierenden Gegenstände durch einen Spalt im Erkennungssystem abgebildet werden. Dabei besteht dieses Erkennungssystem aus einem bildgebendem Spektrographen in Kombination mit einer Aufnahmeeinheit. Dieses System ist dadurch gekennzeichnet, dass Linien, welche quer zur Richtung der Relativbewegung zwischen Messobjekt und Detektionseinheit verlaufen, mit Hilfe einer geeigneten, spektral abgestimmten Optik abgebildet und über einen Eintrittsspalt einem bildgebenden Spektrographen zugeführt werden, welcher mit einem wellenlängendispersiven Element zum spektralen Zerlegen der Linien ausgerüstet ist, so dass an der Austrittsseite des Spektrographen das eintretende Licht in die entsprechenden Spektralbereiche zerlegt und auf eine Aufnahmeeinheit abgebildet wird.With the method according to the invention, lines transverse to the direction of the relative movement of the objects to be classified can be imaged through a gap in the recognition system. In this case, this recognition system consists of an imaging spectrograph in combination with a recording unit. This system is characterized in that lines which extend transversely to the direction of relative movement between the object to be measured and detection unit, with Mapped by an appropriate, spectrally matched optics and fed via an entrance slit an imaging spectrograph, which is equipped with a wavelength dispersive element for spectral dissection of the lines, so that decomposed at the exit side of the spectrograph, the incoming light into the corresponding spectral regions and a receiving unit is shown.

Die, wie vorstehend erläutert, ermittelten Daten werden in der Folge an die Auswerteeinheit weitergegeben, die beispielsweise aus einer elektronischen Datenverarbeitungsanlage besteht. Die mit hoher Geschwindigkeit übertragenen Daten von der Detektionseinheit werden zunächst mit Hilfe eines entsprechenden Computer-Softwareprogramms eingelesen. Zur Weiterverarbeitung umfasst die Computer-Software eine Reihe von mathematischen Algorithmen zur Bearbeitung der mit Hilfe des Erkennungssystems / den Erkennungssystemen ermittelten Datenströme in Echtzeit.The data determined as explained above are subsequently forwarded to the evaluation unit, which consists for example of an electronic data processing system. The data transmitted at high speed from the detection unit are first read in by means of a corresponding computer software program. For further processing, the computer software includes a number of mathematical algorithms for processing in real time the data streams determined using the recognition system (s).

Bedingt durch die Relativbewegung werden sequentiell Linien aufgenommen und mittels Computersoftware zu einem multidimensionalen Informationsraum zusammengesetzt. Dieser besteht aus den beiden Ortskoordinaten in Längs- und Querrichtung zur Bewegungsrichtung sowie aus einer spektralen Dimension, welche die Spektralinformation als spektrale Intensität in Abhängigkeit der Wellenlänge beschreibt. Durch die Auswertung dieser Daten ist es möglich, sowohl Form, Größe und Lage der zu klassifizierenden Gegenstände als auch simultan dazu Farb- und/oder sonstige Materialeigenschaften, z.B. die chemische Zusammensetzung, zu bestimmen.Due to the relative movement, lines are sequentially recorded and assembled by means of computer software into a multidimensional information space. This consists of the two spatial coordinates in the longitudinal and transverse direction to the direction of movement and from a spectral dimension, which describes the spectral information as a spectral intensity as a function of the wavelength. By evaluating this data, it is possible to determine both the shape, size and position of the objects to be classified and, at the same time, color and / or other material properties, e.g. the chemical composition, to determine.

Allgemein dient diese Klassifikation der Zuordnung der erkannten Gegenstände zu Gruppen mit ähnlichen oder vergleichbaren Eigenschaften, wie im erfindungsgemäßen Fall, Form, Größe, Farbe, Struktur und/oder chemische Konstitution, sowie Kombinationen aus diesen und/oder ähnlichen Parametern. Zwar lassen sich Farben auch mit Hilfe von üblichen Farbkameras festhalten, jedoch sind diese auf drei Farbkanäle beschränkt, so dass eine Farbklassifikation nur mit hohem technischem Aufwand oder aber verminderter Präzision erfolgen kann. Durch das erfindungsgemäße Verfahren wird jedoch eine Spektralzerlegung ermöglicht, welche für 100 bis 200 Wellenlängen typisch ist, so dass ein präzises Identifizieren und Klassifizieren der zu sortierenden Gegenstände gewährleistet ist.In general, this classification serves to associate the detected objects with groups having similar or comparable properties, such as in the case according to the invention, shape, size, color, structure and / or chemical constitution, as well as combinations of these and / or similar parameters. Although colors can also be captured with the help of conventional color cameras, these are limited to three color channels, so that a color classification can be made only with great technical effort or reduced precision. However, the method according to the invention enables a spectral decomposition which is typical for 100 to 200 wavelengths, so that a precise identification and classification can be achieved the items to be sorted is guaranteed.

Durch die Beschränkung des mit einer Einheit erfassbaren Spektralbereiches kann es für spezifische Anwendungen vorteilhaft sein, das Gesamtsystem mit zwei oder mehr Detektionseinheiten, jeweils bestehend aus spektral abgestimmter Optik, bildgebendem Spektrographen und Kamera, auszustatten. Dadurch ist es möglich, die Informationsbasis der Klassifikation zu verbreitern und somit die Klassifikationszuverlässigkeit zu erhöhen. Die Detektionseinheiten werden dazu bevorzugt so in das Gesamtsystem integriert, dass sie synchron zueinander laufen und das selbe Beobachtungsfeld erfassen. Die Detektionseinheiten können wahlweise an eine gemeinsame oder individuelle Erkennungs- und Evaluationseinheiten angeschlossen sein.By limiting the unit-detectable spectral range, it may be advantageous for specific applications to equip the overall system with two or more detection units, each consisting of spectrally tuned optics, imaging spectrograph, and camera. This makes it possible to broaden the information base of the classification and thus to increase the classification reliability. The detection units are preferably integrated into the overall system in such a way that they run synchronously with each other and detect the same observation field. The detection units can optionally be connected to a common or individual recognition and evaluation units.

Die Erfindung wird im folgenden beispielhaft anhand der Fig. 1 bis 4 erläutert, wobei

  • Fig. 1 eine mögliche Vorrichtung zur Durchführung des erfindungsgemäßen Verfahrens;
  • Fig. 2 einen in dieser Vorrichtung vorgesehenen bildgebenden Spektrographen mit integrierter Aufnahmeeinheit;
  • Fig. 3 ein in dieser Vorrichtung vorgesehenes Förderband; und
  • Fig. 4 den Querschnitt dieses Förderbandes darstellen.
The invention will be described below by way of example with reference to FIG Fig. 1 to 4 explains
  • Fig. 1 a possible device for carrying out the method according to the invention;
  • Fig. 2 an imaging spectrograph having an integrated receiving unit provided in this device;
  • Fig. 3 a conveyor belt provided in this apparatus; and
  • Fig. 4 represent the cross section of this conveyor belt.

Eine vorteilhafte Ausführungsform des erfindungsgemäßen Verfahrens für die Anwendung als Erfassungs-, Klassifikations- und Steuersystem für die sortenreine Materialsortierung wird in der Folge anhand der beispielhaften Darstellungen gemäß Fig. 1 bis 4 näher erläutert:

  • Die zu sortierenden Gegenstände, Objekte und Materialien werden in Richtung des Pfeils 7 auf das Förderband 4 der Vorrichtung 1 gut verteilt aufgebracht. Nach einer kurzen Beschleunigungsstrecke gelangen diese Gegenstände mit einer Geschwindigkeit von typischerweise 1 bis 3 m/s zur Detektionseinheit 2, welche oberhalb des Förderbandes angeordnet ist. Der zu betrachtende Bereich des Förderbandes ist durch wenigstens eine optische Strahlungsquelle beleuchtet, welche sich bevorzugt durch eine über den Beobachtungsbereich räumlich und spektral homogene Intensitätsverteilung auszeichnet. In dieser Anordnung ist es möglich, Linien, welche quer zum Förderband verlaufen, durch eine Optik 8 der Detektionseinheit 2, wie sie in Fig. 2 dargestellt ist, zu erfassen. Das von dieser Beobachtungslinie ausgehende Licht gelangt über den Eintrittsspalt 9 - siehe Figur 2 - in einen abbildenden Spektrographen 10, der mit einem wellenlängendispersiven Element 11, bevorzugt einem Transmissionsgitter, ausgerüstet ist, so dass an der Austrittseite des Spektrographen unter Erhalt der räumlichen Information der abgebildeten Linie die Lichtstrahlen der abgebildeten Linien spektral zerlegt auf einer Aufnahmeeinheit 12 abgebildet werden. Diese Aufnahmeeinheit 12 ist vorteilhafterweise ein zweidimensionales Array, wie eine CCD-(charge-coupled device) oder CMOS- (complementary metal-oxide semiconductor) Kamera oder eine sonstige Kamera, welche für den jeweiligen Spektralbereich besonders geeignet ist.
An advantageous embodiment of the method according to the invention for use as a detection, classification and control system for the sorted material sorting will be described in the following with reference to the exemplary illustrations Fig. 1 to 4 explained in more detail:
  • The objects, objects and materials to be sorted are applied well distributed in the direction of the arrow 7 on the conveyor belt 4 of the device 1. After a short acceleration section, these objects reach the detection unit 2 at a speed of typically 1 to 3 m / s, which is arranged above the conveyor belt. The area of the conveyor belt to be considered is illuminated by at least one optical radiation source, which preferably passes through the observation area distinguishes spatially and spectrally homogeneous intensity distribution. In this arrangement, it is possible, lines that are transverse to the conveyor belt, through an optical system 8 of the detection unit 2, as shown in FIG Fig. 2 is shown to capture. The light emanating from this observation line passes over the entrance slit 9 - see FIG. 2 in an imaging spectrograph 10, which is equipped with a wavelength-dispersive element 11, preferably a transmission grating, so that the light beams of the imaged lines are spectrally dissected on a receiving unit 12 on the exit side of the spectrograph while preserving the spatial information of the imaged line. This recording unit 12 is advantageously a two-dimensional array, such as a CCD (charge-coupled device) or CMOS (complementary metal-oxide semiconductor) camera or other camera, which is particularly suitable for the respective spectral range.

Die Daten werden an die Auswerteeinheit 3 übermittelt und dort weiterverarbeitet. Mit dem erfindungsgemäß verwendeten Erkennungssystem werden gleichzeitig zwei Kategorien von Daten bestimmt, nämlich einerseits die Spektraldaten zum Bestimmen der Farbe und/oder der chemischen Eigenschaften und anderseits die Bilddaten zum Bestimmen von Form, Lage, Größe und/oder Struktur der zu klassifizierenden Gegenstände. Die Form der Gegenstände wird dadurch aufgenommen, dass die Linien quer zum Förderband mit einer typischen Auflösung von zwischen 128 Punkten und 1600 Punkten erfasst und ausgewertet werden. Durch die sequentielle Aufnahme der Linien entsteht aus den vorgenannten Linien ein zweidimensionales Bild. Aus diesem Datensatz lassen sich die geometrischen Eigenschaften der zu klassifizierenden Gegenstände bestimmen.The data is transmitted to the evaluation unit 3 and further processed there. Two categories of data are simultaneously determined with the recognition system used according to the invention, namely on the one hand the spectral data for determining the color and / or the chemical properties and on the other hand the image data for determining the shape, position, size and / or structure of the objects to be classified. The shape of the objects is captured by capturing and evaluating the lines across the conveyor belt with a typical resolution of between 128 points and 1600 points. Due to the sequential recording of the lines, a two-dimensional image emerges from the aforementioned lines. From this data set, the geometric properties of the objects to be classified can be determined.

Die Datenverarbeitung umfasst für typische, rein qualitative Klassifikation eine Dunkelstromkorrektur, eine Referenzierung gegen einen Standard, eine Normalisierung der Spektren, eine Filterstufe zur Reduktion des Rauschens, die Berechnung der 1. oder 2. Ableitung sowie die eigentliche Klassifikation nach einem auf den jeweiligen Anwendungsfall abgestimmten und optimierten Algorithmus. Weitere Funktionen können beispielsweise die zur Bestimmung des Schwerpunktes und/oder der Objekt- bzw. Klassenkanten und/oder anderer Objekteigenschaften mittels Bildverarbeitungsalgorithmen sein. Dadurch ist es möglich, die zu trennenden Gegenstände präzise zu erkennen, in Echtzeit zu klassifizieren und im weiteren beispielsweise eine entsprechende Sortierung vorzunehmen.For typical, purely qualitative classification, the data processing includes a dark current correction, a referencing to a standard, a normalization of the spectra, a filter stage to reduce the noise, the calculation of the 1st or 2nd derivative as well as the actual classification according to a specific application and optimized algorithm. Further functions can be, for example, those for determining the center of gravity and / or the object or class edges and / or other object properties by means of image processing algorithms. This makes it possible to precise the objects to be separated recognize, classify in real time and in the further example to make a corresponding sorting.

Im Falle von Mülltrennung ist beispielsweise für das Recycling von Kunststoffflaschen, wie Polyethylenterephthalat (PET) - Flaschen, nicht nur die Klassifikation nach Material, Komponenten, sondern auch nach Farbe und/oder nach Art der Schraubkappe der Flasche für die Weiterarbeitung vorteilhaft. Ebenso können Standard-Sortierkriterien, die bei anderen Klassifikationsverfahren Verwendung finden, wie Länge, Breite und Form bzw. Kontur direkt aus den Daten extrahiert und zur Sortierung herangezogen werden. Durch Kombination der benötigten Daten im softwareseitigen Evaluationsmodul, beispielsweise durch Vergleich mit hinterlegten Soll-Vorgaben, kann das Klassifikationsergebnis an die prozessspezifische Anforderung angepasst werden. Die Daten, das sind die sogenannten Output-Daten des Evaluationsmoduls, werden über eine benutzerdefinierte Schnittstelle, ein weiteres Modell der Computer-Software, an die entsprechenden Steuerkomponenten, beispielsweise ein übergeordnetes Prozessleitsystem oder, wie in dieser beispielhaften Anwendung, an eine Einheit zur automatisierten Sortierung, etwa steuerbare Ausblasdüsen, weitergeleitet. Bei dieser Anwendung für die Materialsortierung kann somit nach dem Ermitteln der vorgenannten Daten eine automatisierte Sortierung, zum Beispiel durch Ausblasen oder mittels gesteuerter Klappen, erfolgen.In the case of waste separation, for example, for the recycling of plastic bottles, such as polyethylene terephthalate (PET) - bottles, not only the classification by material, components, but also by color and / or the nature of the screw cap of the bottle for further processing advantageous. Likewise, standard sorting criteria that are used in other classification methods, such as length, width and shape or contour can be extracted directly from the data and used for sorting. By combining the required data in the software evaluation module, for example by comparison with stored target specifications, the classification result can be adapted to the process-specific requirement. The data, the so-called output data of the evaluation module, is transmitted via a user-defined interface, another model of the computer software, to the corresponding control components, for example a higher-level process control system or, as in this exemplary application, to an automated sorting unit , about controllable exhaust nozzles, forwarded. In this application for material sorting, an automated sorting, for example by blowing out or by means of controlled flaps, can thus take place after the determination of the aforementioned data.

Besonders bevorzugt ist die Sortierung mit Hilfe einer steuerbaren Düsenreihe 5, in welcher Luftdüsen 14 derart angeordnet sind, dass die dadurch erzeugten Luftströme die auszusortierenden Gegenstände schräg seitlich in entsprechende Auffangbehälter wirbeln, so dass diese vom Förderband 4 abgezogen werden können. Die Düsenreihe 5 ist, wie aus Figuren 3 und 4 ersichtlich, vorteilhafterweise unterhalb der die Gegenstände tragenden Trume der Streifen 13 angeordnet.Particularly preferred is the sorting with the aid of a controllable nozzle row 5, in which air nozzles 14 are arranged such that the air streams generated thereby vortex the items auszusortierenden laterally into corresponding receptacle so that they can be deducted from the conveyor belt 4. The nozzle row 5 is as out FIGS. 3 and 4 can be seen, advantageously arranged below the strands of the strips 13 carrying the articles.

Eine weitere bevorzugte Methode ist die Verwendung eines zusätzlichen Querförderbandes 6, das in einem Abstand von beispielsweise 30 cm quer über dem Transportförderband 4 angebracht ist. Die auszutragenden Gegenstände werden bei dieser Ausführungsform durch die Ausblasdüsen auf dieses Förderband gewirbelt und anschließend auf dem Querförderband abtransportiert. Dieser Sortiervorgang wird anhand der Darstellung gemäß Fig. 3 näher erläutert. Daraus ist zu ersehen, dass das Förderband 4 in Längsrichtung aus mehreren voneinander beabstandeten, z.B. etwa 50 Streifen 13 besteht. Die Düsenreihe 5 ist so angebracht, dass die einzelnen Düsen 14 zwischen den Streifen 13 des Förderbandes zur Wirkung kommen. An diesen Ausblasstationen werden die zu sortierenden Gegenstände über die unter dem Förderband montierten, steuerbaren Düsenreihe 5 geführt, wobei durch die besondere Ausführung des Förderbandes in Form der Streifen 13 keine Unterbrechung des Bandes und somit auch keine Unterbrechung im Förderstrom erfolgt. Die Form der Düsen 14 und das dadurch erzeugte Strömungsprofil sind so eingestellt, dass die auszusortierenden Gegenstände entsprechend ihrem Gewicht und dem erzeugten Luftstrom auf das Querförderband 6 oder in einen seitlichen Auffangbehälter (nicht dargestellt) gewirbelt werden. Durch die Verwendung des speziellen Förderbandes 4, beispielsweise einem Riemenband, und das Anbringen der Düsenreihe 5 unter diesem Band, verbleiben jene Gegenstände, welche in dieser Trennstufe noch nicht aussortiert werden, weiterhin mit gleicher Position und Lage auf dem Förderband für den Transport zur nächsten Trennstufe. Dadurch können je nach Anforderungsprofil auch mehrere Trennschritte durchgeführt werden. Dadurch wird das automatisierte Sortieren unterschiedlicher Gegenstände ermöglicht, so dass eine spezifische Sortierung nach Zusammensetzung, wie nach unterschiedlichen Kunststoffen, Metallen und dergleichen, aber auch nach Umweltschädlichkeit, Verkaufswert oder Brennwert ermöglicht ist.Another preferred method is the use of an additional cross conveyor belt 6, which is mounted at a distance of, for example, 30 cm across the transport conveyor belt 4. The articles to be discharged are in this embodiment swirled through the discharge nozzles on this conveyor belt and then transported away on the cross conveyor belt. This sorting process is based on the representation according to Fig. 3 explained in more detail. It's too see that the conveyor belt 4 in the longitudinal direction of a plurality of spaced apart, for example, about 50 strips 13 consists. The nozzle row 5 is mounted so that the individual nozzles 14 between the strips 13 of the conveyor belt come into effect. At these Ausblasstationen the objects to be sorted are guided over the mounted under the conveyor belt, controllable nozzle row 5, which is carried out by the special design of the conveyor belt in the form of strips 13 no interruption of the belt and thus no interruption in the flow. The shape of the nozzles 14 and the airfoil produced thereby are adjusted so that the items to be sorted out are swirled onto the cross conveyor 6 or into a side receptacle (not shown) according to their weight and airflow generated. By using the special conveyor belt 4, such as a belt band, and the attachment of the nozzle row 5 under this band, those objects that are not sorted out in this separation stage, continue to remain in the same position and location on the conveyor belt for transport to the next separation stage , As a result, several separation steps can be carried out depending on the requirement profile. As a result, the automated sorting of different objects is made possible so that a specific sorting by composition, such as according to different plastics, metals and the like, but also by environmental damage, sales value or calorific value is made possible.

Zusammenfassend kann gesagt werden, dass das erfindungsgemäße Verfahren zum Identifizieren, Klassifizieren und Sortieren von Gegenständen deshalb in einfacher Weise durchführbar ist, da von einer Einheit simultan und mit hoher räumlicher und spektraler Auflösung in Echtzeit geometrische sowie spektrale Daten, beispielsweise betreffend Farbe und/oder chemischer Eigenschaften der betrachteten Messobjekte erfasst werden. Das erfindungsgemäße Verfahren ist besonders relevant bei Messobjekten, welche sich aus prozesstechnischen oder sonstigen Gründen relativ zum Erkennungssystem in Bewegung befinden. Das erfindungsgemäße Verfahren lässt sich insbesondere mit Hilfe des erfindungsgemäß verwendeten Erkennungssystems, bestehend aus einer Einheit zum gleichzeitigen Ermitteln von Bild- und Spektraldaten und einer mit dieser verbundenen Einheit zum Auswerten der ermittelten Bild- und Spektraldaten in einfacher Weise durchführen.In summary, it can be said that the method according to the invention for identifying, classifying and sorting objects can therefore be carried out in a simple manner, since geometric and spectral data, for example concerning color and / or chemical data, of a unit simultaneously and with high spatial and spectral resolution in real time Characteristics of the objects to be measured are recorded. The method according to the invention is particularly relevant in the case of measurement objects which are in motion relative to the recognition system for process engineering or other reasons. The method according to the invention can be carried out in a simple manner, in particular with the aid of the recognition system used according to the invention, consisting of a unit for the simultaneous determination of image and spectral data and a unit connected therewith for evaluating the determined image and spectral data.

Claims (8)

  1. A process for identifying, classifying and sorting items, objects and materials, wherein in one process step the spectral data, such as colour, chemical properties and spatial data, such as shape, size, position and/or structure of items, objects and materials moved or moving relative to the measuring unit are determined and recorded in real time in both planar dimensions with high spatial and full spectral resolution and the items, objects and materials recorded in this manner are classified in real time using this data and then sorted and wherein the items matching a sorting criterion are removed from the process cycle by means of a sorting mechanism, preferably by means of a controllable air current, without the entire process being interrupted, characterized in that a recognition system comprising a detection unit (2) for the simultaneous determination of spatial resolved image and spectral data in real time, which is positioned above the items to be sorted which are distributed on a transport system, preferably a conveyor belt (4), and an evaluation unit (3) connected to this unit for evaluating the multispectral image data obtained is used and that an imaging spectrograph (10) is used as the detection unit in combination with a recording unit (12), whereby lines which run transversely to the direction of the relative movement between the observed item, object or material and the detection unit are imaged with the help of a suitable spectrally coordinated optical system (8) and supplied to the imaging spectrograph (10) via an entry slot (9), said spectrograph being equipped with a wavelength-dispersive element, preferably a transmission grid (11), for extracting spectral information from a light beam, so that at the outlet side of the spectrograph the light beams of the imaged lines are spectrally fragmented, while retaining the spatial information, and displayed on the recording unit (12).
  2. A configuration for implementing the process according to claim 1, comprising an recognition system made up of a detection unit (2), which is positioned above a transport system, and an evaluation unit (3) connected to this unit, wherein an imaging spectrograph (10) is used as the detection unit in combination with a recording unit (12) and wherein a continuous conveyor belt (4) as the transport system and at least one mechanism (5) effectively connected to the detection unit for sorting the items, objects or materials identified as matching the sorting criteria are provided.
  3. The configuration according to claim 2, characterized in that the sorting mechanism comprises a row of nozzles (5) and collecting vessels attached to the side.
  4. The configuration according to claim 2, characterized in that the sorting mechanism comprises a series of nozzles (5) and a transverse conveyor belt (6) positioned transversely above the conveyor belt (4).
  5. The configuration according to one of the claims 2 to 4, characterized in that the conveyor belt (4) is continuous throughout the entire system.
  6. The configuration according to claim 5, characterized in that the continuous conveyor belt (4) is formed from a plurality of parallel strips (13) in a longitudinal direction and that the row of nozzles (5) is disposed beneath the offshoot of the strips (13) supporting the items.
  7. The configuration according to one of the claims 2 to 6, characterized in that the items being sorted are removed from the material flow by being blown out obliquely to the side.
  8. The configuration according to claim 7, characterized in that the items being sorted are spun by blowing out onto a transverse conveyor belt (6) located above the transport belt and thereby removed from the material flow.
EP09008037A 2002-11-21 2003-11-20 Method for identifying, classifying and sorting objects and materials and a recognition system for carrying out this method Revoked EP2110187B1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AT17512002 2002-11-21
EP03450254A EP1421999A3 (en) 2002-11-21 2003-11-20 Process for identification, classification and sorting of objects and materials and according recognition system

Related Parent Applications (2)

Application Number Title Priority Date Filing Date
EP03450254A Division EP1421999A3 (en) 2002-11-21 2003-11-20 Process for identification, classification and sorting of objects and materials and according recognition system
EP03450254.2 Division 2003-11-20

Publications (2)

Publication Number Publication Date
EP2110187A1 EP2110187A1 (en) 2009-10-21
EP2110187B1 true EP2110187B1 (en) 2013-02-27

Family

ID=32180923

Family Applications (2)

Application Number Title Priority Date Filing Date
EP03450254A Withdrawn EP1421999A3 (en) 2002-11-21 2003-11-20 Process for identification, classification and sorting of objects and materials and according recognition system
EP09008037A Revoked EP2110187B1 (en) 2002-11-21 2003-11-20 Method for identifying, classifying and sorting objects and materials and a recognition system for carrying out this method

Family Applications Before (1)

Application Number Title Priority Date Filing Date
EP03450254A Withdrawn EP1421999A3 (en) 2002-11-21 2003-11-20 Process for identification, classification and sorting of objects and materials and according recognition system

Country Status (3)

Country Link
EP (2) EP1421999A3 (en)
AT (1) AT7250U1 (en)
ES (1) ES2407086T3 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109844509A (en) * 2016-06-21 2019-06-04 索雷克核研究中心 The XRF analysis device, sorting system and its method for sorting of multiple solid objects for identification

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH702891B1 (en) * 2010-03-25 2013-07-15 Qualysense Ag Apparatus and method for sorting agricultural particles.
CN106824824A (en) * 2016-10-26 2017-06-13 湖南理工学院 A kind of separating plastic system with preposition image procossing and reflective spectrum unit
EP3530360A1 (en) * 2018-02-21 2019-08-28 Siemens Aktiengesellschaft Detection of non-conveyable mail items
CN108620337B (en) * 2018-03-29 2020-02-21 潍坊路加精工有限公司 Method and system for detecting and grading moving materials
CN109530271A (en) * 2018-12-11 2019-03-29 天津市宽达水产食品有限公司 Frozen fresh green pea defect ware on-line checking and rejecting are equipped
US11878327B2 (en) 2019-03-13 2024-01-23 Digimarc Corporation Methods and arrangements for sorting items, useful in recycling
CN110202716B (en) * 2019-05-17 2024-04-30 佛山市玖州智能装备技术有限公司 Waste plastic bottle sorting system and sorting method thereof
DE102021200894B3 (en) 2021-02-01 2022-04-21 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein Optical examination of objects in a material flow such as bulk goods
CN114589109B (en) * 2022-02-28 2023-12-12 太仓金马智能装备有限公司 High-precision recyclable object intelligent recognition system and recognition method thereof
CN115026011B (en) * 2022-05-25 2023-02-21 北京隆翔环保科技有限公司 Intelligent solid waste treatment system
DE102022120823A1 (en) 2022-08-17 2024-02-22 Krones Aktiengesellschaft Device and method for inspecting containers

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB1579741A (en) * 1978-01-09 1980-11-26 Secretary Industry Brit Sorting of items into different classes
US5216484A (en) 1991-12-09 1993-06-01 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Real-time imaging spectrometer
US6060677A (en) * 1994-08-19 2000-05-09 Tiedemanns-Jon H. Andresen Ans Determination of characteristics of material
DE19751862C2 (en) 1997-11-22 2002-09-19 Lutz Priese Method and device for identifying and sorting belt-conveyed objects
AT2986U1 (en) * 1998-08-25 1999-08-25 Binder Co Ag LINEAR SORTING DEVICE
DK1185854T3 (en) * 1999-03-19 2007-03-26 Titech Visionsort As material Inspection
AUPQ607100A0 (en) 2000-03-07 2000-03-30 Colour Vision Systems Pty Ltd Spectral assessment of fruit
WO2002007066A1 (en) 2000-07-14 2002-01-24 Spectral Dimensions, Inc. High-volume on-line spectroscopic composition testing of pharmaceutical dosage units
FR2822235B1 (en) * 2001-03-19 2004-10-22 Pellenc Sa DEVICE AND METHOD FOR AUTOMATICALLY INSPECTING OBJECTS FLAPPING IN SUBSTANTIALLY SINGLE FLOW

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109844509A (en) * 2016-06-21 2019-06-04 索雷克核研究中心 The XRF analysis device, sorting system and its method for sorting of multiple solid objects for identification
CN109844509B (en) * 2016-06-21 2021-10-26 索雷克核研究中心 XRF analyzer, method for identifying marked object, sorting system and sorting method

Also Published As

Publication number Publication date
EP1421999A3 (en) 2005-11-30
EP2110187A1 (en) 2009-10-21
EP1421999A2 (en) 2004-05-26
AT7250U1 (en) 2004-12-27
ES2407086T3 (en) 2013-06-11

Similar Documents

Publication Publication Date Title
EP1105715B1 (en) Method and device for detecting and differentiating between contaminations and accepts as well as between different colors in solid particles
EP2598860B1 (en) Method, sensor unit and machine for detecting "sugar top" defects in potatoes
EP1030740B1 (en) Method and device for identifying and sorting objects conveyed on a belt
AT398174B (en) METHOD AND DEVICE FOR SEPARATING BLEED WOOD STICKS
EP2643103B1 (en) Process and device for sorting separate grains of bulk material
DE4102767A1 (en) METHOD FOR QUALITATIVE ANALYSIS OF PLASTIC PARTICLES
DE4129754C2 (en) Process for the recovery of pure plastic fractions
EP2110187B1 (en) Method for identifying, classifying and sorting objects and materials and a recognition system for carrying out this method
EP0562506A2 (en) Method and device for sorting bulk material
EP1048363A2 (en) Method and apparatus for sorting waste paper
EP3494385B1 (en) Device and method for analysing the alloy composition of metal scrap fragments
DE69921021T2 (en) A method of distinguishing product units and apparatus therefor
DE19949656A1 (en) Separating scrap plastics from vehicles, electronics and other areas according to type, has two stages of separation which use sensors to determine material sort and position on a belt or carousel
DE10149505A1 (en) Method and device for selecting plastics and other materials with regard to color and composition
EP1533045B1 (en) Process and device for improved sorting of waste paper and cardboard
DE19816881B4 (en) Method and device for detecting and distinguishing between contaminations and acceptances as well as between different colors in solid particles
EP3707496B1 (en) Identification of one or more spectral features in a spectrum of a sample for a constituent analysis
EP3493924B1 (en) Device and method for analysing the alloy composition of metal scrap fragments
DE102004051311B4 (en) Apparatus and method for performing fluorescence and emission spectrometry
DE102005032493A1 (en) Equipment separating natural- and artificial corks, illuminates them with electromagnetic beam and compares reflected and emitted spectra with results from natural cork
Leitner et al. Identification of flexographic-printed newspapers with NIR spectral imaging
DE102016220523A1 (en) Apparatus and method for analyzing optically detectable inhomogeneities on the surface of wafers
EP4324572A1 (en) System for analyzing and sorting a piece of material
DE202019100945U1 (en) Apparatus for determining the quality of substitute fuels
DE202022104718U1 (en) System for analyzing and sorting a piece of material

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

AC Divisional application: reference to earlier application

Ref document number: 1421999

Country of ref document: EP

Kind code of ref document: P

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LI LU MC NL PT RO SE SI SK TR

RIN1 Information on inventor provided before grant (corrected)

Inventor name: KULCKE, AXEL, DR.

Inventor name: GURSCHLER, CHRISTIAN

Inventor name: SCHERF, WERNER, DR.

Inventor name: LEITNER, RAIMUND

17P Request for examination filed

Effective date: 20100324

17Q First examination report despatched

Effective date: 20110519

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

GRAS Grant fee paid

Free format text: ORIGINAL CODE: EPIDOSNIGR3

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

AC Divisional application: reference to earlier application

Ref document number: 1421999

Country of ref document: EP

Kind code of ref document: P

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LI LU MC NL PT RO SE SI SK TR

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

Free format text: NOT ENGLISH

REG Reference to a national code

Ref country code: CH

Ref legal event code: EP

REG Reference to a national code

Ref country code: AT

Ref legal event code: REF

Ref document number: 598214

Country of ref document: AT

Kind code of ref document: T

Effective date: 20130315

REG Reference to a national code

Ref country code: IE

Ref legal event code: FG4D

Free format text: LANGUAGE OF EP DOCUMENT: GERMAN

REG Reference to a national code

Ref country code: DE

Ref legal event code: R096

Ref document number: 50314709

Country of ref document: DE

Effective date: 20130425

RAP2 Party data changed (patent owner data changed or rights of a patent transferred)

Owner name: TOMRA SORTING AS

REG Reference to a national code

Ref country code: ES

Ref legal event code: FG2A

Ref document number: 2407086

Country of ref document: ES

Kind code of ref document: T3

Effective date: 20130611

REG Reference to a national code

Ref country code: AT

Ref legal event code: HC

Ref document number: 598214

Country of ref document: AT

Kind code of ref document: T

Owner name: TOMRA SORTING AS, NO

Effective date: 20130418

REG Reference to a national code

Ref country code: DE

Ref legal event code: R081

Ref document number: 50314709

Country of ref document: DE

Owner name: TOMRA SORTING AS, NO

Free format text: FORMER OWNER: TITECH VISIONSORT AS, OSLO/OSLO, NO

Effective date: 20130528

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: BG

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130527

Ref country code: SE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

REG Reference to a national code

Ref country code: NL

Ref legal event code: VDEP

Effective date: 20130227

REG Reference to a national code

Ref country code: SK

Ref legal event code: T3

Ref document number: E 14220

Country of ref document: SK

REG Reference to a national code

Ref country code: FR

Ref legal event code: CD

Owner name: TOMRA SORTING AS, NO

Effective date: 20130723

Ref country code: FR

Ref legal event code: CA

Effective date: 20130723

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

Ref country code: SI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

Ref country code: PT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130627

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130528

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: CZ

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

Ref country code: EE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

Ref country code: NL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

Ref country code: RO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

Ref country code: DK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: ES

Payment date: 20130903

Year of fee payment: 11

Ref country code: SK

Payment date: 20130902

Year of fee payment: 11

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: CY

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: FR

Payment date: 20130913

Year of fee payment: 11

PLBI Opposition filed

Free format text: ORIGINAL CODE: 0009260

26 Opposition filed

Opponent name: SCHOEN, GEORG

Effective date: 20131121

Opponent name: STEINERT ELEKTROMAGNETBAU GMBH

Effective date: 20131125

Opponent name: LLA INSTRUMENTS GMBH

Effective date: 20131126

PLAX Notice of opposition and request to file observation + time limit sent

Free format text: ORIGINAL CODE: EPIDOSNOBS2

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: AT

Payment date: 20131126

Year of fee payment: 11

Ref country code: DE

Payment date: 20131127

Year of fee payment: 11

Ref country code: GB

Payment date: 20131120

Year of fee payment: 11

REG Reference to a national code

Ref country code: DE

Ref legal event code: R026

Ref document number: 50314709

Country of ref document: DE

Effective date: 20131121

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: IT

Payment date: 20131118

Year of fee payment: 11

PLAF Information modified related to communication of a notice of opposition and request to file observations + time limit

Free format text: ORIGINAL CODE: EPIDOSCOBS2

BERE Be: lapsed

Owner name: TITECH VISIONSORT AS

Effective date: 20131130

REG Reference to a national code

Ref country code: CH

Ref legal event code: PL

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MC

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

Ref country code: LI

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20131130

Ref country code: CH

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20131130

REG Reference to a national code

Ref country code: IE

Ref legal event code: MM4A

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: BE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20131130

PLAF Information modified related to communication of a notice of opposition and request to file observations + time limit

Free format text: ORIGINAL CODE: EPIDOSCOBS2

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20131120

PLBB Reply of patent proprietor to notice(s) of opposition received

Free format text: ORIGINAL CODE: EPIDOSNOBS3

REG Reference to a national code

Ref country code: DE

Ref legal event code: R119

Ref document number: 50314709

Country of ref document: DE

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: TR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20130227

REG Reference to a national code

Ref country code: AT

Ref legal event code: MM01

Ref document number: 598214

Country of ref document: AT

Kind code of ref document: T

Effective date: 20141120

GBPC Gb: european patent ceased through non-payment of renewal fee

Effective date: 20141120

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LU

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20131120

Ref country code: SK

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20141120

Ref country code: HU

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT; INVALID AB INITIO

Effective date: 20031120

REG Reference to a national code

Ref country code: SK

Ref legal event code: MM4A

Ref document number: E 14220

Country of ref document: SK

Effective date: 20141120

REG Reference to a national code

Ref country code: FR

Ref legal event code: ST

Effective date: 20150731

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: AT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20141120

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: GB

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20141120

Ref country code: DE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20150602

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FR

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20141201

REG Reference to a national code

Ref country code: ES

Ref legal event code: FD2A

Effective date: 20151229

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20141120

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: ES

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20141121

PLAY Examination report in opposition despatched + time limit

Free format text: ORIGINAL CODE: EPIDOSNORE2

PLBC Reply to examination report in opposition received

Free format text: ORIGINAL CODE: EPIDOSNORE3

RDAF Communication despatched that patent is revoked

Free format text: ORIGINAL CODE: EPIDOSNREV1

REG Reference to a national code

Ref country code: DE

Ref legal event code: R064

Ref document number: 50314709

Country of ref document: DE

Ref country code: DE

Ref legal event code: R103

Ref document number: 50314709

Country of ref document: DE

RDAG Patent revoked

Free format text: ORIGINAL CODE: 0009271

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: PATENT REVOKED

27W Patent revoked

Effective date: 20160630

REG Reference to a national code

Ref country code: AT

Ref legal event code: MA03

Ref document number: 598214

Country of ref document: AT

Kind code of ref document: T

Effective date: 20160630

REG Reference to a national code

Ref country code: SK

Ref legal event code: MC4A

Ref document number: E 14220

Country of ref document: SK

Effective date: 20160630