EP1421999A2 - Procédé d'identification, de classification et de tri d'objets ou matériaux et système de reconnaissance correspondant - Google Patents
Procédé d'identification, de classification et de tri d'objets ou matériaux et système de reconnaissance correspondant Download PDFInfo
- Publication number
- EP1421999A2 EP1421999A2 EP03450254A EP03450254A EP1421999A2 EP 1421999 A2 EP1421999 A2 EP 1421999A2 EP 03450254 A EP03450254 A EP 03450254A EP 03450254 A EP03450254 A EP 03450254A EP 1421999 A2 EP1421999 A2 EP 1421999A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- objects
- sorting
- data
- unit
- classification
- 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.)
- Withdrawn
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Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/363—Sorting apparatus characterised by the means used for distribution by means of air
- B07C5/367—Sorting apparatus characterised by the means used for distribution by means of air using a plurality of separation means
-
- 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
- B07C5/04—Sorting according to size
- B07C5/10—Sorting according to size measured by light-responsive means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
Definitions
- the invention relates to a method for identifying, classifying and sorting objects, objects and materials Detection system and an arrangement for performing this method.
- Identification processes are used in a number of industrial processes or classification of objects, objects and materials an important instrument for process management and control.
- an automated sorting process specified at which the identification of the to be sorted Objects is performed using spectral data analysis ever after activation of the scanning device upstream of the spectrometer during the identification process, the spectral data for a predetermined amount of objects to be sorted and determined for the subsequent classification is forwarded to a computer unit.
- This process is complex in terms of apparatus technology, because such a recognition system from three subsystems, namely an image analysis system, a scanner and a NIR (near infrared) spectrometer exists.
- Another well-known method for classifying objects, Objects and materials are 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. Set these procedures however, the measurement spot must be representative of the whole Target is. If this is not guaranteed, for example if there is a possibility that the object is made of other materials is contaminated or covered, is inhomogeneous, or if the Measurement objects have a relevant surface structure that is captured these methods are inadequate. For such Cases, the use of systems is required with which records the required spectral information in a spatially resolved manner can be.
- filter systems in this area optionally discrete filters when observing fewer, more selected Wavelengths are used or where by using tunable optical filters a multispectral image, in Combination with a recording unit, usually a camera, is recorded.
- a recording unit usually a camera
- filter systems with more as an observed wavelength is that the measurement object not relative to the measuring device during the duration of the measurement allowed to move.
- a series receive images that include individual images of the measurement object individual wavelengths, but in different positions, whereby a complete image of a moving measurement object is not obtained can be. Due to this limitation, the requirement of Measurement with high resolution in both flat dimensions and in Real time without interrupting the process of such systems not be met.
- the object of the present invention is to overcome the disadvantages of Prior art methods for identifying and Classifying objects, objects and materials, while at the same time ensuring a simple procedure should be.
- a method of the type mentioned at the beginning is proposed, which is characterized in that in one process step the spectral data, such as color information, chemical Properties and spatial data such as shape, size, location and / or Structure of moving or moving relative to the measuring unit Objects, objects and materials in both flat dimensions with high spatial and full spectral resolution in real time are determined and recorded.
- the spectral data such as color information, chemical Properties and spatial data such as shape, size, location and / or Structure of moving or moving relative to the measuring unit Objects, objects and materials in both flat dimensions with high spatial and full spectral resolution in real time are determined and recorded.
- the spectral ranges are preferably the following ranges and / or sub-areas of the areas and / or combinations of the areas for use: ultraviolet (UV, 200 - 380 nm), visible light (380 - 780 nm), near infrared (NIR, 780 - 2500 nm) and medium Infrared (> 2.5 ⁇ m).
- UV, 200 - 380 nm ultraviolet
- visible light 380 - 780 nm
- NIR, 780 - 2500 nm near infrared
- medium Infrared > 2.5 ⁇ m.
- An exemplary application for the method according to the invention is the material or sorting of objects, Objects and materials, such as waste materials, but also processing of recycling materials. It is known to be of all kinds Items such as waste and recycled material by hand sort by. It is based on criteria such as color, shape and composition of the objects to be sorted. Although one Manual pre-sorting, such as with smaller amounts of waste is carried out in households, a relief for the further waste disposal is still manual sorting complex to carry out. To simplify the sorting or the Sorting of health-endangering or unhealthy The method according to the invention can enable substances here be used.
- Another application example is the use of the invention Process for in-line quality control of products during the production process, for example surface coatings.
- the use of the method according to the invention enables distribution, homogeneity control for this application and quality of a coating process in real time. additionally can be achieved by using image processing algorithms automated on the classification result and real-time statements, for example via the spatial and / or the size distribution of irregularities hit what as a rule and / or quality assurance parameter for the process control of essential Is important for efficient and trouble-free production.
- the invention further relates to a detection system consisting of a detection unit for the simultaneous determination of the spatial resolved image and spectral data in real time, which is above the distributed on a transport system, preferably a conveyor track, positioned to classify and / or sort objects and a detection and identification connected to this unit Evaluation unit for evaluating the determined multispectral Image data.
- a detection unit for the simultaneous determination of the spatial resolved image and spectral data in real time, which is above the distributed on a transport system, preferably a conveyor track, positioned to classify and / or sort objects and a detection and identification connected to this unit Evaluation unit for evaluating the determined multispectral Image data.
- the detection unit moved on or by a single or multi-axis movement system with the test object in the rest position.
- lines can cross the direction of the relative Movement of the objects to be classified through a gap in the Detection system are mapped.
- this detection system from an imaging spectrograph in Combination with a recording unit.
- This system is through it marked that lines which are transverse to the direction of relative movement run between measurement object and detection unit, with Mapped using a suitable, spectrally coordinated optics and fed to an imaging spectrograph via an entry slit with a wavelength-dispersive element is equipped for spectral decomposition of the lines, so that at the Exit side of the spectrograph the incoming light into the corresponding spectral ranges and disassembled on a recording unit is mapped.
- the data determined as explained above are subsequently passed on to the evaluation unit, which advantageously consists of an electronic data processing system.
- the one with high Speed transmitted data from the detection unit first with the help of an appropriate computer software program read.
- the computer software includes for further processing a set of mathematical algorithms to work with Determined with the help of the recognition system / systems Data streams in real time.
- this classification serves to assign the recognized ones Objects in groups with similar or comparable properties, 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 used Hold on with the help of common color cameras, but these are on three color channels limited, so a color classification only with high technical effort or reduced precision can.
- the method according to the invention enables spectral decomposition enables, which is typical for 100 to 200 wavelengths is so that it can be precisely identified and classified the objects to be sorted is guaranteed.
- Detection units can either be shared or individual Detection and evaluation units are connected.
- the invention further relates to an arrangement for performing the inventive method as an automated material sorting process, which essentially consists of a continuous conveyor track and a device that is actually connected to the detection system, preferably a row of nozzles.
- an arrangement for performing the inventive method as an automated material sorting process which essentially consists of a continuous conveyor track and a device that is actually connected to the detection system, preferably a row of nozzles.
- the objects, objects and materials to be sorted are in Direction of arrow 7 on the conveyor belt 4 of the device 1 well distributed applied. After a short acceleration distance these items arrive at a speed of typically 1 to 3 m / s to the detection unit 2, which is above the Conveyor belt is arranged.
- the area of the conveyor belt to be considered is illuminated by at least one optical radiation source, which is preferably characterized by an over the observation area characterized spatially and spectrally homogeneous intensity distribution. In With this arrangement it is possible to create lines which run across the conveyor belt run through an optic 8 of the detection unit 2, as shown in 2 is to be detected.
- 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 any other camera which is suitable for the respective Spectral range is particularly suitable.
- CCD charge-coupled device
- CMOS complementary metal-oxide semiconductor
- the data are transmitted to the evaluation unit 3 and there further processed.
- the detection system defines two categories of data at the same time, 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 shape, Location, size and / or structure of the objects to be classified.
- the shape of the objects is taken up by the lines across the conveyor belt with a typical resolution of between 128 Points and 1600 points are recorded and evaluated. Through the sequential recording of the lines arises from the aforementioned Lines a two-dimensional image. From this data set can be the geometric properties of the objects to be classified determine.
- the data processing includes for typical, purely qualitative classification a dark current correction, a referencing against one Standard, a normalization of the spectra, a filter stage for Reduction of noise, the calculation of the 1st or 2nd derivative as well as the actual classification according to one on the respective Use case coordinated and optimized algorithm.
- functions can be used to determine the center of gravity and / or the object or class edges and / or others Object properties by means of image processing algorithms. This makes it possible to precisely cut the objects to be separated recognize, classify in real time and further, for example make an appropriate sorting.
- waste separation for example, is for recycling Plastic bottles, such as polyethylene terephthalate (PET) bottles, not just the classification according to material, components, but also by color and / or by the type of screw cap of the bottle for the further work advantageous.
- Standard sorting criteria that with other classification methods Find use, such as length, width and shape or contour directly the data are extracted and used for sorting.
- the data is the so-called Output data of the evaluation module are sent via a custom interface, another model of computer software, to the corresponding control components, for example a higher-level process control system or, as in this exemplary application, to a unit for automated sorting, such as controllable blow-out nozzles.
- a unit for automated sorting such as controllable blow-out nozzles.
- Sorting with the aid of a controllable one is particularly preferred Row of nozzles 5, in which air nozzles 14 are arranged such that the air flows generated thereby the objects to be sorted out Swirl diagonally to the side in the appropriate collection container so that these can be pulled off the conveyor belt 4.
- the nozzle row 5 is, as can be seen from Figures 3 and 4, advantageously below arranged the dreams of the strips 13 carrying the objects.
- Another preferred method is to use an additional one Cross conveyor belt 6, which is at a distance of, for example, 30 cm is attached across the conveyor belt 4.
- the to be carried out Objects are in this embodiment by the Blow nozzles whirled onto this conveyor belt and then up transported away from the cross conveyor belt.
- This sorting process will explained in more detail based on the representation according to FIG. 3. This is too can see that the conveyor belt 4 in the longitudinal direction from several of each other spaced, e.g. there are about 50 strips 13.
- the row of nozzles 5 is mounted so that the individual nozzles 14 between the Strip 13 of the conveyor belt come into effect.
- the objects to be sorted are placed under the Conveyor belt mounted, controllable row of nozzles 5, whereby by the special design of the conveyor belt in the form of the strips 13 no interruption of the tape and therefore no interruption in the Flow occurs.
- the shape of the nozzles 14 and what is produced thereby Flow profiles are set so that the ones to be sorted out Objects according to their weight and the air flow generated on the cross conveyor belt 6 or in a side container (not shown) are whirled.
- the special conveyor belt 4 for example a belt belt, and that Attaching the row of nozzles 5 under this band, those objects remain which are not yet sorted out in this separation stage, continue with the same position and location on the conveyor belt for the Transport to the next separation stage.
- the method according to the invention for identifying, classifying and sorting objects is therefore feasible in a simple manner, because of one Unity simultaneously and with high spatial and spectral resolution real-time geometric and spectral data, for example regarding color and / or chemical properties of the considered Objects to be measured.
- the method according to the invention is particularly relevant for measurement objects, which result from process engineering or other reasons relative to the recognition system in Movement.
- the method according to the invention can in particular be using the detection system according to the invention from a unit for the simultaneous determination of image and Spectral data and an associated unit for evaluation perform the determined image and spectral data in a simple manner.
Landscapes
- Sorting Of Articles (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Length Measuring Devices By Optical Means (AREA)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP09008037A EP2110187B1 (fr) | 2002-11-21 | 2003-11-20 | Procédé d'identification, de classification et de tri d'objets, de matériaux et système de reconnaissance destiné à l'exécution de ce procédé |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AT17512002 | 2002-11-21 | ||
AT17512002 | 2002-11-21 |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP09008037A Division EP2110187B1 (fr) | 2002-11-21 | 2003-11-20 | Procédé d'identification, de classification et de tri d'objets, de matériaux et système de reconnaissance destiné à l'exécution de ce procédé |
Publications (2)
Publication Number | Publication Date |
---|---|
EP1421999A2 true EP1421999A2 (fr) | 2004-05-26 |
EP1421999A3 EP1421999A3 (fr) | 2005-11-30 |
Family
ID=32180923
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP09008037A Revoked EP2110187B1 (fr) | 2002-11-21 | 2003-11-20 | Procédé d'identification, de classification et de tri d'objets, de matériaux et système de reconnaissance destiné à l'exécution de ce procédé |
EP03450254A Withdrawn EP1421999A3 (fr) | 2002-11-21 | 2003-11-20 | Procédé d'identification, de classification et de tri d'objets ou matériaux et système de reconnaissance correspondant |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP09008037A Revoked EP2110187B1 (fr) | 2002-11-21 | 2003-11-20 | Procédé d'identification, de classification et de tri d'objets, de matériaux et système de reconnaissance destiné à l'exécution de ce procédé |
Country Status (3)
Country | Link |
---|---|
EP (2) | EP2110187B1 (fr) |
AT (1) | AT7250U1 (fr) |
ES (1) | ES2407086T3 (fr) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CH702891A1 (de) * | 2010-03-25 | 2011-09-30 | Qualysense Ag | Vorrichtung und Verfahren zum Sortieren von landwirtschaftlichen Partikeln. |
CN106824824A (zh) * | 2016-10-26 | 2017-06-13 | 湖南理工学院 | 一种具有前置图像处理及反射式光谱单元的塑料分选系统 |
CN109530271A (zh) * | 2018-12-11 | 2019-03-29 | 天津市宽达水产食品有限公司 | 速冻青豆残次品在线检测与剔除装备 |
CN110202716A (zh) * | 2019-05-17 | 2019-09-06 | 佛山市玖州智能装备技术有限公司 | 废品塑料瓶分拣系统及其分拣方法 |
CN111757783A (zh) * | 2018-02-21 | 2020-10-09 | 西门子股份公司 | 无法输送的物品的识别 |
DE102021200894B3 (de) | 2021-02-01 | 2022-04-21 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein | Optisches Untersuchen von Objekten eines Materialstroms wie beispielsweise Schüttgut |
CN114589109A (zh) * | 2022-02-28 | 2022-06-07 | 太仓金马智能装备有限公司 | 一种高精度可回收物智能识别系统及其识别方法 |
CN115026011A (zh) * | 2022-05-25 | 2022-09-09 | 北京隆翔环保科技有限公司 | 一种固体废弃物智能处理系统 |
US11878327B2 (en) | 2019-03-13 | 2024-01-23 | Digimarc Corporation | Methods and arrangements for sorting items, useful in recycling |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
ES2898049T3 (es) * | 2016-06-21 | 2022-03-03 | Soreq Nuclear Res Ct | Analizador de XRF para identificar una pluralidad de objetos sólidos, sistema de clasificación y un método de clasificación del mismo |
CN108620337B (zh) * | 2018-03-29 | 2020-02-21 | 潍坊路加精工有限公司 | 一种运动物料检测分档的方法及系统 |
DE102022120823A1 (de) | 2022-08-17 | 2024-02-22 | Krones Aktiengesellschaft | Vorrichtung und Verfahren zum Inspizieren von Behältnissen |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
DE19751862A1 (de) | 1997-11-22 | 1999-05-27 | Lutz Prof Dr Priese | Verfahren und Vorrichtung zum Identifizieren und Sortieren von bandgeförderten Objekten |
WO2001067073A1 (fr) | 2000-03-07 | 2001-09-13 | Colour Vision Systems Pty Ltd | Examen spectral de fruits |
WO2002007066A1 (fr) | 2000-07-14 | 2002-01-24 | Spectral Dimensions, Inc. | Vérification spectroscopique en ligne des compositions pour doses posologiques pharmaceutiques fabriquées en grandes quantités |
Family Cites Families (5)
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 |
US6060677A (en) * | 1994-08-19 | 2000-05-09 | Tiedemanns-Jon H. Andresen Ans | Determination of characteristics of material |
AT2986U1 (de) * | 1998-08-25 | 1999-08-25 | Binder Co Ag | Lineare sortiereinrichtung |
EP1185854B1 (fr) * | 1999-03-19 | 2006-11-29 | Titech Visionsort As | Inspection de matiere |
FR2822235B1 (fr) * | 2001-03-19 | 2004-10-22 | Pellenc Sa | Dispositif et procede d'inspection automatique d'objets defilant en flux sensiblement monocouche |
-
2003
- 2003-11-20 ES ES09008037T patent/ES2407086T3/es not_active Expired - Lifetime
- 2003-11-20 EP EP09008037A patent/EP2110187B1/fr not_active Revoked
- 2003-11-20 EP EP03450254A patent/EP1421999A3/fr not_active Withdrawn
-
2004
- 2004-06-01 AT AT0803504U patent/AT7250U1/de not_active IP Right Cessation
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
DE19751862A1 (de) | 1997-11-22 | 1999-05-27 | Lutz Prof Dr Priese | Verfahren und Vorrichtung zum Identifizieren und Sortieren von bandgeförderten Objekten |
WO2001067073A1 (fr) | 2000-03-07 | 2001-09-13 | Colour Vision Systems Pty Ltd | Examen spectral de fruits |
WO2002007066A1 (fr) | 2000-07-14 | 2002-01-24 | Spectral Dimensions, Inc. | Vérification spectroscopique en ligne des compositions pour doses posologiques pharmaceutiques fabriquées en grandes quantités |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CH702891A1 (de) * | 2010-03-25 | 2011-09-30 | Qualysense Ag | Vorrichtung und Verfahren zum Sortieren von landwirtschaftlichen Partikeln. |
CN106824824A (zh) * | 2016-10-26 | 2017-06-13 | 湖南理工学院 | 一种具有前置图像处理及反射式光谱单元的塑料分选系统 |
CN111757783B (zh) * | 2018-02-21 | 2023-05-26 | 西门子物流有限责任公司 | 无法输送的物品的识别 |
CN111757783A (zh) * | 2018-02-21 | 2020-10-09 | 西门子股份公司 | 无法输送的物品的识别 |
CN109530271A (zh) * | 2018-12-11 | 2019-03-29 | 天津市宽达水产食品有限公司 | 速冻青豆残次品在线检测与剔除装备 |
US11878327B2 (en) | 2019-03-13 | 2024-01-23 | Digimarc Corporation | Methods and arrangements for sorting items, useful in recycling |
CN110202716A (zh) * | 2019-05-17 | 2019-09-06 | 佛山市玖州智能装备技术有限公司 | 废品塑料瓶分拣系统及其分拣方法 |
CN110202716B (zh) * | 2019-05-17 | 2024-04-30 | 佛山市玖州智能装备技术有限公司 | 废品塑料瓶分拣系统及其分拣方法 |
DE102021200894B3 (de) | 2021-02-01 | 2022-04-21 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein | Optisches Untersuchen von Objekten eines Materialstroms wie beispielsweise Schüttgut |
CN114589109A (zh) * | 2022-02-28 | 2022-06-07 | 太仓金马智能装备有限公司 | 一种高精度可回收物智能识别系统及其识别方法 |
CN114589109B (zh) * | 2022-02-28 | 2023-12-12 | 太仓金马智能装备有限公司 | 一种高精度可回收物智能识别系统及其识别方法 |
CN115026011A (zh) * | 2022-05-25 | 2022-09-09 | 北京隆翔环保科技有限公司 | 一种固体废弃物智能处理系统 |
CN115026011B (zh) * | 2022-05-25 | 2023-02-21 | 北京隆翔环保科技有限公司 | 一种固体废弃物智能处理系统 |
Also Published As
Publication number | Publication date |
---|---|
AT7250U1 (de) | 2004-12-27 |
EP2110187B1 (fr) | 2013-02-27 |
EP2110187A1 (fr) | 2009-10-21 |
EP1421999A3 (fr) | 2005-11-30 |
ES2407086T3 (es) | 2013-06-11 |
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