EP4265345B1 - Détection des objets en recirculation - Google Patents

Détection des objets en recirculation Download PDF

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Publication number
EP4265345B1
EP4265345B1 EP22169504.2A EP22169504A EP4265345B1 EP 4265345 B1 EP4265345 B1 EP 4265345B1 EP 22169504 A EP22169504 A EP 22169504A EP 4265345 B1 EP4265345 B1 EP 4265345B1
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EP
European Patent Office
Prior art keywords
piece
piece good
detection system
piece goods
complex
Prior art date
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Application number
EP22169504.2A
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German (de)
English (en)
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EP4265345A1 (fr
Inventor
Marco Fischer
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Koerber Supply Chain Logistics GmbH
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Koerber Supply Chain Logistics GmbH
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Application filed by Koerber Supply Chain Logistics GmbH filed Critical Koerber Supply Chain Logistics GmbH
Priority to EP22169504.2A priority Critical patent/EP4265345B1/fr
Priority to PCT/EP2023/059864 priority patent/WO2023202961A1/fr
Priority to CA3254071A priority patent/CA3254071A1/fr
Priority to US18/855,840 priority patent/US20250319493A1/en
Publication of EP4265345A1 publication Critical patent/EP4265345A1/fr
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Publication of EP4265345B1 publication Critical patent/EP4265345B1/fr
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    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/36—Sorting apparatus characterised by the means used for distribution
    • B07C5/361—Processing or control devices therefor, e.g. escort memory
    • B07C5/362—Separating or distributor mechanisms
    • 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
    • B07C3/00—Sorting according to destination
    • B07C3/02—Apparatus characterised by the means used for distribution
    • B07C3/08—Apparatus characterised by the means used for distribution using arrangements of conveyors

Definitions

  • the invention relates to the automation of logistics systems for piece goods with return.
  • the objects to be sorted are transported as 2D/3D bulk material on conveyor belts to a singulation system (e.g., Visicon, robot, Variotip).
  • a singulation system e.g., Visicon, robot, Variotip.
  • An oriented 1D stream with defined gaps between the objects is then generated.
  • the objects to be sorted are general cargo, such as parcels, shipping goods, or even luggage. Typical applications can be found in sorting systems at airports or at postal or other logistics service providers.
  • shipment "general cargo,” and “object” are used essentially synonymously below.
  • Errors can arise due to deficiencies in the sorting and/or singulation system (e.g., in mechanical components, detection technology, or special feeding situations) or in certain object types. These errors can include, for example, double feeds, incorrect orientation of a piece of goods, or an insufficient gap between the next object.
  • An automatic detection system detects these errors and can recirculate the affected shipments and feed them back into the singulating system via a recirculation conveyor line (circular line, loop).
  • the WO 99/21663 A1 shows a logistics system for piece goods, which separates piece goods and feeds them to a detection system.
  • the cause may be misidentification, where a single object is incorrectly identified as a duplicate.
  • misidentifications can also be due to defective objects, open shipments (e.g., open packages or suitcases), irregularly shaped objects (e.g., L-shaped boxes), special prints or stickers on the objects, protruding stickers or strips of adhesive tape, or glued objects that do not separate even after repeated singulation.
  • a baggage sorting system such as that used in airports
  • an error in the reading process can be diverted to a return route that brings the baggage back to the reading station.
  • the tag is damaged and the barcode is illegible, the error is not corrected, so the baggage in question continues to circulate until the error is corrected, for example by manually handling the baggage.
  • the rate of these recirculating objects increases, and they are detected by the detection system at periodic intervals depending on the round-trip time (RTT).
  • RTT round-trip time
  • the present invention is based on the object of optimizing the operation of a logistics system for piece goods with return.
  • the invention relates to a logistics system for piece goods.
  • the logistics system comprises a main conveyor line, a detection system, a discharge system, and a recirculation conveyor line.
  • the main conveyor line is designed to feed piece goods to the detection system and to convey them further downstream from there.
  • the discharge system is designed to feed piece goods that were fed to the detection system from the main conveyor line to the recirculation conveyor line.
  • the recirculation conveyor line is designed to feed piece goods that were fed to it from the discharge system back to the detection system.
  • the detection system is configured to generate a data set for a piece goods complex fed to it, by means of which data set the piece goods complex can be identified.
  • a piece goods complex can comprise a single piece goods item or multiple piece goods items.
  • a piece goods complex can be or comprise a piece goods cluster that was not correctly singulated.
  • a piece goods complex is a single singulated piece goods item.
  • the detection system is also configured to detect an error affecting a piece of cargo fed into it and to cause the discharge system to feed the affected piece of cargo to the recirculation conveyor line.
  • the detection system is also configured to store at least those data records that can be used to identify piece of cargo fed into the recirculation conveyor line.
  • the detection system is also configured to compare data records with each other and, if two or more data records match, to classify this match as evidence of a repeatedly affected piece of cargo.
  • the invention relates to a method for providing data or for operating a logistics facility for piece goods.
  • piece goods are conveyed in the logistics facility along a main conveyor line to an automatic detection system.
  • the detection system automatically detects an error affecting a piece goods complex.
  • the detection system automatically creates a first data set by means of which the piece goods complex can be identified.
  • the piece goods complex is diverted from the main conveyor line to a recirculation conveyor line.
  • the recirculation conveyor line causes the piece goods complex to be fed back to the detection system.
  • the detection system again detects the error affecting the piece goods complex and creates a second data set by means of which the recirculated piece goods complex can be identified.
  • the detection system detects a match between the first and second data sets and, based on this, classifies the first and second data sets as identifying the same piece goods complex and classifies the piece goods complex as repeatedly affected by the error.
  • the logistics system comprises a singulator.
  • the singulator is designed to singulate unit loads fed to the detection system.
  • the error that causes the detection system to direct the reject system to feed the faulty unit load complex to the recirculation conveyor line is an error in the singulation of the unit load complex. This creates the conditions for automatically detecting faulty unit loads.
  • the method step of detecting a match between the first and second data sets comprises comparing the second data set with a plurality of stored data sets.
  • the recognition system is configured to apply a preferably time-based search space restriction when comparing data sets. This enables efficient execution of data set comparisons.
  • the detection system is further configured to determine a probability for the match between two or more threshold values and, if the probability exceeds a threshold value, to classify the match as evidence of a repeatedly faulty piece goods complex.
  • This allows the method step of detecting a match between the first and the second data set This involves automatically determining a probability of agreement, and automatically interpreting an exceedance of the threshold as evidence of a repeatedly faulty cargo complex. In this way, cargo complexes can be classified as repeatedly faulty if the fault has not been resolved but has nevertheless changed after one or more recirculations.
  • the logistics facility is a sorting facility.
  • the data contained in a data set is also used to sort the piece goods assigned to the data set. This allows for synergies to be utilized by avoiding unnecessary redundancy in the complex analyses of a piece goods, as the data contained in a data set can also be used to sort the piece goods assigned to the data set.
  • the logistics system comprises a manual processing station.
  • the detection system is configured to cause the rejection system to feed a multiply faulty piece goods complex to the manual processing station. This allows for automatic relief of the recirculation conveyor line by automatically feeding a piece goods complex classified as multiply faulty to a manual processing station.
  • FIG. 1 schematically shows a logistics system 1 for piece goods, which includes an automatic exception detection system 3 with a 3-way split 4 and recirculation 5.
  • the logistics system 1 includes a main conveyor line 2, a detection system 3, a discharge system 4, a recirculation conveyor line 5, a singulation system 6, a manual processing station 7, a merging system 8, and a control system 9.
  • the control system 9 is designed and adapted to control the logistics system 1, or at least a selection of the systems 2, 3, 4, 5, 6, 7, 8.
  • At least the recognition system 3 comprises hardware and software or logic.
  • the hardware comprises a camera system 39 or other imaging system with a monitoring area, as well as a control system 38.
  • the software or logic can be implemented in the control system 38 and directly connected to the discharge system 4 in order to control it.
  • at least part of the software or logic of the recognition system 4 can be implemented in the higher-level control system 9 of the logistics facility 1.
  • functionalities of the recognition system 3 are therefore implemented in the control system 9, as can be seen by the dashed block 3, which represents the recognition system 3 and which overlaps with the control system 9.
  • the main conveyor line 2 is designed to guide piece goods from a feed 21 to the merging system 8, from there to the singulation system 6, from there to the detection system 3, from there to the discharge system 4, and from there to possible further processing systems 22.
  • feeding systems can be arranged that perform logistical processing steps for the piece goods.
  • the piece goods can be delivered in a random manner similar to bulk goods, and the upstream systems generate a single-layer piece goods flow from stacked piece goods, which is fed to the merging system 8.
  • the piece goods are fed to the singulation system 6, where the single-layered supplied piece goods are singulated.
  • the piece goods flow with stacked piece goods is fed to the singulation system 6, and the singulation system 6 generates a single-layer singulated flow of piece goods from it.
  • the recognition system 3 comprises a camera system configured to generate digital images of the piece goods fed to the recognition system 3.
  • the piece goods are optimally fed to the recognition system 3 singulated. However, if an error occurs in the singulation system 6, it may happen, for example, that a piece goods cluster 24 comprising two or more non-singulated piece goods is sent to the recognition system 3.
  • the recognition system 3 is supplied with piece goods complexes 23, 24 from the singulation system 6, which can be a correctly singulated piece goods 23 or a faulty piece goods cluster 24.
  • the reference number 23 generally designates general cargo complexes which only comprise a correctly separated piece of cargo
  • the reference number 24 designates general cargo complexes generally refers to general cargo clusters that include several general cargoes.
  • the recognition system 3 is configured to use digital image processing to determine from one or more of the digital images whether a piece of cargo has been correctly singulated or whether it is part of a piece of cargo cluster.
  • the recognition system 3 is thus configured to determine whether a piece of cargo complex 23, 24 is a correctly singulated piece of cargo 23 or a faulty piece of cargo cluster 24.
  • the recognition system 3 is therefore tasked with monitoring the quality of the singulation.
  • the discharge system can also comprise two 2-way splitters, wherein a first of the 2-way splitters is designed to discharge a piece goods complex from the main conveyor line to the recirculation conveyor line 5, while a second of the 2-way splitters is designed to feed a piece goods complex from the main conveyor line 2 to the manual processing station 7.
  • the detection system 3 interprets a piece goods complex 23, 24 as correctly separated piece goods 23 and thus not affected by an error, it controls the discharge system 4 in such a way that it conveys the piece goods complex 23, or in other words this piece goods 23, further along the main conveyor line 2.
  • the detection system 4 detects that a supplied piece goods complex is a If it is a piece goods cluster 24 that comprises two or more non-singulated piece goods, the detection system interprets this piece goods complex 24 as not correctly singulated and thus as affected by an error and controls the discharge system 4 in such a way that it feeds the piece goods cluster to the recirculation conveyor line 5.
  • the recognition system 3 is also configured to generate a data set 33, 34, 35, 36 for each delivery of a piece goods complex 24 identified as being affected by an error to the recognition system 4, by means of which the piece goods complex can be identified.
  • a data set 33, 34, 35, 36 can, for example, comprise a fingerprint of the piece goods complex, which represents geometric, optical, and/or physical properties of the piece goods complex, for example in the form of a vector.
  • the extracted data can also be concatenated into a number or a string, which then forms a fingerprint, e.g., length_width_height_color.
  • a deep learning method can also be used to determine a value or character string from the image that cannot be directly assigned to human-understandable values such as "length.”
  • the recognition system is configured to generate a data record only for those piece goods complexes that have been identified as being affected by an error. According to an alternative embodiment, the recognition system is configured to also generate a data record for other or all piece goods complexes supplied to the recognition system.
  • the recognition system 3 is also configured to store at least those data records 33, 34, 35, 36 in a database 31 by means of which the piece goods complexes fed to the recirculation conveyor line 5 can be identified. Alternatively, data records of all piece goods complexes fed to the recognition system 3 can also be generated and stored.
  • the recirculation conveyor line 5 is configured to first re-feed a cluster of incorrectly singulated piece goods, which was fed to it by the discharge system 4, to the singulation system 6 via the consolidation system 8.
  • the logistics system does not comprise a separate consolidation system 8; instead, the recirculation conveyor line 5 is configured to re-feed a cluster of incorrectly singulated piece goods, which was fed to it by the discharge system 4, directly to the singulation system 6.
  • the recirculation conveyor line 5 can comprise one or more belt conveyors.
  • the singulation system 6 correctly singulates the recirculated piece goods cluster in this pass, the correctly singulated piece goods are fed to the detection system 6.
  • the detection system 6 recognizes these piece goods complexes as correctly singulated piece goods and controls the discharge system 4 so that these singulated piece goods are fed further along the main conveyor line to the other processing systems 22.
  • the recognition system 3 will again recognize the piece goods complex as a piece goods cluster and thus interpret it as affected by an error and create a second data record 34 for this piece goods cluster, by means of which the piece goods complex 24 can be identified again.
  • the recognition system compares this second data record 34 with the data records stored in the database 31. If the second data record 34 matches the first data record stored in the database 31, the recognition system 3 classifies the first and second data records 31, 34 as identifying the same piece goods complex and classifies the piece goods complex as repeatedly affected by an error, or as having already been recirculated at least once, and controls the discharge system.
  • the detection system 3 can also be configured to only discharge the piece goods complex in question into the manual processing station 7 if three or more data sets match. In this way, it can be prevented that the manual processing station is unnecessarily loaded if two passes through the singulation system are not sufficient to singulate a piece goods cluster.
  • the discharge system 4 is arranged downstream of the detection system 3. In other embodiments, the discharge system 4 and the detection system 3 can be arranged in a common section of the main conveyor line 2 or partially overlap.
  • the camera system of the detection system 3 covers a monitoring area that also includes the discharge system 4.
  • the singulation system 6 is arranged upstream of the detection system 3. In other embodiments, the singulation system 6 and the detection system 3 can be arranged in a common section of the main conveyor line 2 or partially overlap.
  • the camera system of the detection system 3 covers a monitoring area that also includes the singulation system 6.
  • the detection system 3 can also cover a monitoring area which covers both the singulation system 6 and the ejection system 4.
  • the error that affects a piece goods complex fed to the detection system 3 is a singulation error. In other embodiments, the error that affects a piece goods complex fed to the detection system 3 is not a singulation error, but a different error.
  • a logistics system which, like the embodiment of Figure 1 can be used in a sorting system, is in Figure 2 shown schematically.
  • Figure 2 shows a logistics system 101 for general cargo such as parcels or pieces of luggage.
  • the sorting system 101 is constructed similarly to the logistics system 1, however, the logistics system 1 does not include a singulation system and a modified recognition system 103.
  • a baggage sorting system such as those used in airports, this is generally not necessary, since the pieces of luggage are already individually handed over to the sorting system by an operator or a passenger.
  • Labels representing a sorting destination are affixed to or on the general cargo.
  • the sorting destination can be, for example, an addressee or a sorting or distribution center to which the parcel is to be transported.
  • the sorting destination can be, for example, a target or intermediate destination of a piece of luggage, such as a destination airport.
  • the information required for this can be applied to the label, for example, in the form of a barcode, in the form of plain text, or can be stored in a readable manner on another information carrier such as an RFID.
  • the recognition system 103 fails to extract the information necessary for sorting, for example because a label is damaged or obscured, the respective piece of goods is recognized by the recognition system 3 as being affected by an error, and the piece of goods is diverted to the recirculation conveyor line 5.
  • the error is therefore a sorting target that is at least not completely readable.
  • the recognition system 103 is configured to generate a data record for each piece of cargo by means of which the piece of cargo can be identified.
  • the recognition system 103 is also configured to read the destination on the labels and use it in the further processing systems 22, which may, for example, include a sorter for sorting the piece goods. If a sorting destination for a piece of goods is fully recognized by the recognition system, the recognition system 103 causes the discharge system to feed this piece of goods to the further processing systems 22.
  • the recognition system 103 causes the discharge system 4 to interpret this piece of goods as being affected by an error and to feed it to the recirculation conveyor line 5.
  • the recognition system 103 stores a data record for each piece of goods fed to the recirculation conveyor line 5, by means of which the piece of goods can be identified.
  • a piece of goods that has been discharged into the recirculation conveyor line 5 and is affected by an error is thus fed again to the recognition system 103. If the sorting destination is readable this time, for example because the label is no longer covered, the recognition system 103 causes the discharge system 4 to feed the piece of goods to the further processing systems 22. If the sorting destination is again unreadable, the recognition system again creates a second data set for this piece of goods, by means of which the piece of goods can be identified and compares the second data set with all data records in the database 31 and finds a match with the previously created first data set for this piece of goods, and therefore classifies the piece of goods as repeatedly affected by an error. and causes the discharge system 4 to feed the piece goods to the manual processing station 7.
  • the recognition system 3 is configured to apply a preferably time-based search space restriction when comparing data records.
  • the restriction can be applied, for example, based on the circulation time of a piece of goods around the recirculation conveyor line, with only data records created, for example, somewhat longer than one or more circulation times ago being compared.
  • the search space restriction can also be timed based on circulation times, so that, for example, only data records created in a time interval covering one or more points in time that lie exactly one or more circulation times ago are compared.
  • the recognition system may not be able to recognize a complex of items with 100% certainty. Instead, it must calculate an overall probability that the item is a previously seen item based on various factors by weighting the individual matches (e.g., length 100% identical, width 90% identical, color identical, height 50% identical). Accordingly, a threshold (e.g., 80% certainty) must be used to determine the next action.
  • a threshold e.g., 80% certainty
  • the logistics system is a sorting system, and the data contained in a data set will additionally be used for sorting the piece goods assigned to the data set.
  • the recognition system can be connected to other systems of the sorting system, for example a sorter.
  • the recognition system 3, 103 is configured to transmit data or data sets to the sorter or the other systems of the sorting system, which data or data sets include, for example, a fingerprint or a barcode or other identification by means of which the piece goods can be identified or This allows synergies to be utilized for error detection and sorting. For example, it can avoid the time-consuming, unnecessary repetitive determination of fingerprints.
  • the creation of image fingerprints is trained into the recognition system using deep learning methods.
  • the discharge system is configured to selectively feed piece goods that have been fed to the detection system 3 to a manual processing station 7.
  • the detection system 3 is configured to cause the discharge system 4 to feed a piece goods complex affected by multiple errors to the manual processing station 7.
  • a data set comprises an identifier by means of which the piece goods complex on the basis of which the recognition system created the data set.
  • the logistics system 1, 101 is configured to track a recirculated piece goods complex along the recirculation conveyor line 5. This can be implemented, for example, such that the monitoring area of the detection system 3, 103 covers the entire recirculation conveyor line.
  • the recirculation conveyor line 5 can be regularly emptied. For a circulation period RTT, all detected faulty piece goods complexes are automatically conveyed from the recirculation conveyor line 5 to the manual processing station. This reduces the effective detection rate and increases personnel costs. If the supply of new piece goods complexes is also stopped, the throughput decreases instead, without adversely affecting the detection rate and with reduced personnel costs.
  • the recirculation conveyor line 5 can also be triggered to empty.
  • the trigger can be triggered when the recirculation rate increases, for example, when the recirculation rate exceeds a threshold. However, this may increase the susceptibility to errors due to fluctuations in the error rate of the singulation system 6.
  • newly detected exception objects are compared with a list of previously recirculated piece goods within the relevant time window (e.g., 1 min +/- 20 s). By comparing all data, a weighted probability for the occurrence of recirculation is calculated.
  • the position and orientation on the conveyor line which may be configured as a belt, can change slightly upon repeated detection, as can the contour and surface structure of deformable piece goods complexes.
  • the collected data is reused, possibly modified, in algorithms of other sorting methods such as ArtID/Letter Fingerprint.
  • a 3-strike rule or an n-strike rule can be applied, which stipulates that general cargo complexes must undergo at least two or more recirculations to be flagged as repeatedly faulty or repeatedly recirculated, respectively.

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  • Control Of Conveyors (AREA)
  • Discharge Of Articles From Conveyors (AREA)

Claims (15)

  1. Installation logistique (1) pour articles de détail, comprenant un convoyeur principal (2), un système de détection (3), un système d'éjection (4) et un convoyeur de recirculation (5) ;
    - le convoyeur principal (2) étant conçu pour transporter les articles vers le système de détection (3) et à partir de celui-ci vers l'aval ;
    - le système d'éjection (4) étant conçu pour amener les articles, qui ont été amenés au système de détection (3), depuis le convoyeur principal (2) jusqu'au convoyeur de recirculation (5) ;
    - le convoyeur de recirculation (5) étant conçu pour amener à nouveau au système de détection (3) des articles qui lui ont été amenés par le système d'éjection (4) ;
    - le système de détection (3) étant conçu pour générer, pour un complexe d'articles (23, 24) qui lui est amené, un jeu de données (33, 34, 35, 36) permettant d'identifier le complexe d'articles (23, 24) ;
    - le système de détection (3) étant en outre conçu pour détecter une erreur affectant un complexe d'articles (24) qui lui est amené et pour inciter le système d'éjection (4) à amener au convoyeur de recirculation (5) le complexe d'articles (24) affecté par l'erreur ;
    caractérisée en ce que
    - le système de détection (3) est en outre conçu pour mémoriser au moins les lots de données (33, 34, 35, 36) permettant d'identifier les complexes d'articles (23, 24) amenés au convoyeur de recirculation (5) ;
    - le système de détection (3) est en outre conçu pour comparer entre eux les lots de données (33, 34, 35, 36) et, en cas de concordance de deux ou plusieurs lots de données (33, 34, 35, 36), pour classifier cette concordance comme preuve d'un complexe d'articles (24) affecté par des erreurs répétées.
  2. Installation logistique (1) selon la revendication 1,
    comprenant un dispositif de singularisation (6) conçu pour singulariser des articles amenés au système de détection (3), sachant que l'erreur à cause de laquelle le système de détection (3) incite le système d'éjection (4) à amener au convoyeur de recirculation (5) le complexe d'articles (24) affecté par l'erreur est une erreur dans la singularisation du complexe d'articles.
  3. Installation logistique (1) selon l'une des revendications précédentes, dans laquelle un lot de données comprend une sélection des données suivantes :
    - l'heure de la détection ;
    - des informations d'image de l'article, d'une partie de l'article ou d'un groupe d'articles, les informations d'image pouvant également comprendre plusieurs images sous différentes perspectives ;
    - des données extraites de l'article, d'une partie de l'article ou d'un groupe d'articles, telles qu'une ou plusieurs hauteurs, un ou plusieurs volumes, une ou plusieurs dimensions, une ou plusieurs couleurs, un ou plusieurs types, un poids, des sous-éléments reconnaissables (par exemple des étiquettes, des roulettes de valise, des fermetures ...), la position par rapport à d'autres articles, une ou plusieurs empreintes digitales d'image, une ou plusieurs structures de surface ;
    - un ou plusieurs codes à barres appliqués à l'article ou au groupe d'articles ;
    - un ou plusieurs textes en clair qui sont appliqués à l'article ou au groupe d'articles et qui ont été extraits par reconnaissance de texte ;
    - une ou plusieurs vitesses de transport.
  4. Installation logistique (1) selon l'une des revendications précédentes, dans laquelle le système de détection (3) est conçu pour effectuer une restriction de l'espace de recherche, de préférence basée sur le temps, lors de la comparaison des lots de données.
  5. Installation logistique (1) selon l'une des revendications précédentes, dans laquelle le système de détection (3) est en outre conçu pour déterminer une probabilité de concordance entre deux ou plusieurs valeurs seuils et, en cas de dépassement d'une valeur seuil par la probabilité, pour classifier la concordance comme preuve d'un complexe d'articles affecté par des erreurs répétées.
  6. Installation logistique (1) selon l'une des revendications précédentes,
    dans laquelle l'installation logistique est une installation de tri, et les données contenues dans un lot de données sont en outre utilisées pour un tri de l'article associé au lot de données.
  7. Installation logistique (1) selon l'une des revendications précédentes, comprenant un poste de traitement manuel (7),
    le système de détection (3) étant conçu pour inciter le système d'éjection (4) à amener au poste de traitement manuel (7) un complexe d'articles affecté par des erreurs multiples.
  8. Procédé d'exploitation d'une installation logistique pour articles de détail, comprenant les étapes de procédé consistant à :
    - transporter les articles dans l'installation logistique le long d'un convoyeur principal (2) vers un système de détection automatique (3) ;
    - détecter automatiquement par le système de détection (3) une erreur affectant un complexe d'articles (23, 24) ;
    - créer un premier lot de données (33, 34, 35, 36) permettant d'identifier le complexe d'articles (23, 24) ;
    - suite à la détection de l'erreur, éjecter le complexe d'articles (23, 24) du convoyeur principal (2) vers un convoyeur de recirculation (5) qui assure d'amener à nouveau le complexe d'articles (23, 24) au système de détection (3) ;
    - lorsque le complexe d'articles (23, 24) est amené à nouveau au système de détection (3), il détecte à nouveau l'erreur et crée un deuxième lot de données (33, 34, 35, 36) permettant d'identifier le complexe d'articles (23, 24) ;
    - détecter une concordance entre le premier et le deuxième lot de données (33, 34, 35, 36) et, en se basant sur celle-ci, classifier le complexe d'articles (33, 34, 35, 36) comme étant affecté par des erreurs répétées.
  9. Procédé selon la revendication 8, dans lequel les articles amenés au système de détection (3) sont transportés à travers un dispositif de singularisation (6), et le système de détection (3) mesure la qualité de la singularisation du complexe d'articles.
  10. Procédé selon l'une des revendications 8 ou 9, dans lequel un lot de données comprend une sélection des données suivantes :
    - l'heure de la détection ;
    - des informations d'image de l'article, d'une partie de l'article ou d'un groupe d'articles ;
    - des données extraites de l'article, d'une partie de l'article ou d'un groupe d'articles, telles qu'une ou plusieurs hauteurs, un ou plusieurs volumes, une ou plusieurs dimensions, une ou plusieurs couleurs, un ou plusieurs types, une ou plusieurs empreintes digitales d'image, une ou plusieurs structures de surface ;
    - un ou plusieurs codes à barres appliqués à l'article ou au groupe d'articles ;
    - un ou plusieurs textes en clair qui sont appliqués à l'article ou au groupe d'articles et qui ont été extraits par reconnaissance de texte ;
    - une ou plusieurs vitesses de transport.
  11. Procédé selon l'une des revendications 8 à 10, dans lequel l'étape de détection d'une concordance entre le premier et le deuxième lot de données consiste à comparer le deuxième lot de données avec une pluralité de lots de données stockés (33, 34, 35, 36).
  12. Procédé selon la revendication 11, dans lequel le système de détection (3) est conçu pour, lors de la comparaison de lots de données, effectuer une restriction de l'espace de recherche, de préférence basée sur le temps, afin de sélectionner la pluralité de lots de données (33, 34, 35, 36) avec lesquels le deuxième lot de données est comparé.
  13. Procédé selon l'une des revendications 8 à 12, dans lequel l'étape de procédé de détection d'une concordance entre le premier et le deuxième lot de données consiste à déterminer automatiquement une probabilité pour la concordance et à interpréter automatiquement un dépassement de la valeur seuil comme preuve d'un complexe d'articles affecté par des erreurs répétées.
  14. Procédé selon l'une des revendications 8 à 13, dans lequel les données contenues dans un lot de données sont en outre utilisées pour un tri de l'article associé au lot de données.
  15. Procédé selon l'une des revendications 8 à 14, dans lequel le complexe d'articles classifié comme étant affecté par des erreurs multiples est amené automatiquement à un poste de traitement manuel (7).
EP22169504.2A 2022-04-22 2022-04-22 Détection des objets en recirculation Active EP4265345B1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP22169504.2A EP4265345B1 (fr) 2022-04-22 2022-04-22 Détection des objets en recirculation
PCT/EP2023/059864 WO2023202961A1 (fr) 2022-04-22 2023-04-17 Détection d'objets en recirculation
CA3254071A CA3254071A1 (fr) 2022-04-22 2023-04-17 Détection d'objets en recirculation
US18/855,840 US20250319493A1 (en) 2022-04-22 2023-04-17 Detection of recirculating objects

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Application Number Priority Date Filing Date Title
EP22169504.2A EP4265345B1 (fr) 2022-04-22 2022-04-22 Détection des objets en recirculation

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EP4265345B1 true EP4265345B1 (fr) 2025-06-04

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US (1) US20250319493A1 (fr)
EP (1) EP4265345B1 (fr)
CA (1) CA3254071A1 (fr)
WO (1) WO2023202961A1 (fr)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6076683A (en) * 1997-10-29 2000-06-20 Sandvik Sorting Systems, Inc. Sorter mechanism
FR2841673B1 (fr) * 2002-06-26 2004-12-03 Solystic Chronomarquage d'objets postaux par signature d'image et machine de tri associee

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CA3254071A1 (fr) 2025-06-14
WO2023202961A1 (fr) 2023-10-26
EP4265345A1 (fr) 2023-10-25

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