EP3205411B1 - Procede de tri de bagages et systeme de tri de bagages - Google Patents

Procede de tri de bagages et systeme de tri de bagages Download PDF

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Publication number
EP3205411B1
EP3205411B1 EP16155151.0A EP16155151A EP3205411B1 EP 3205411 B1 EP3205411 B1 EP 3205411B1 EP 16155151 A EP16155151 A EP 16155151A EP 3205411 B1 EP3205411 B1 EP 3205411B1
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EP
European Patent Office
Prior art keywords
information set
luggage
information
database
airport
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.)
Active
Application number
EP16155151.0A
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German (de)
English (en)
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EP3205411A1 (fr
Inventor
Gisbert Dr. Berger
Svetlozar Delianski
Ulrich Dengler
Jörg Dr. ROTTLAND
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Siemens AG
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Siemens AG
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
Priority to EP16155151.0A priority Critical patent/EP3205411B1/fr
Application filed by Siemens AG filed Critical Siemens AG
Priority to PT161551510T priority patent/PT3205411T/pt
Priority to ES16155151T priority patent/ES2837357T3/es
Priority to CA3014096A priority patent/CA3014096C/fr
Priority to US16/077,547 priority patent/US11865586B2/en
Priority to CN201680081575.8A priority patent/CN108602095B/zh
Priority to PCT/EP2016/077724 priority patent/WO2017137106A1/fr
Publication of EP3205411A1 publication Critical patent/EP3205411A1/fr
Priority to HK18114127.7A priority patent/HK1255129A1/zh
Application granted granted Critical
Publication of EP3205411B1 publication Critical patent/EP3205411B1/fr
Active legal-status Critical Current
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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
    • B07C3/00—Sorting according to destination
    • B07C3/10—Apparatus characterised by the means used for detection ofthe destination
    • B07C3/14—Apparatus characterised by the means used for detection ofthe destination using light-responsive detecting 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
    • B07C2301/00—Sorting according to destination
    • B07C2301/0066—Check for destination address in a database or list

Definitions

  • the invention relates to a method for sorting items of luggage, each of which comprises an identification element with an information record in the form of plain text.
  • the checked baggage is usually provided with a baggage label in order to be able to sort or assign the baggage item (e.g. a destination, a passenger name and / or other information) in the course of transport.
  • This baggage label usually contains a barcode and other transport-related information such as the baggage number, the flight number, the destination airport and, if applicable, the passenger name.
  • the barcode is read out during transport in order to be able to sort / assign it.
  • the baggage number is encoded with the barcode, for which the flight number and other transport-related information are stored.
  • a baggage label is often damaged when the item of baggage is transported (for example when it is transported over baggage belts or conveyor belts, when loading the aircraft and / or when unloading the aircraft).
  • the baggage label can be bent and / or twisted, the baggage label can get dirty, parts of the baggage label can be torn off and / or scraped off and / or the like. If the baggage label is damaged, the barcode can no longer be recognized, so the baggage label has to be read out by hand. This results in increased personnel costs. There are also delays in sorting / allocation. In some cases it may even happen that a connecting flight can no longer be reached due to the delays.
  • WO-A-97/11790 discloses a system for reading addresses on packets using OCR. It is proposed to look up the addresses in a database of addresses.
  • this object is achieved by a method for sorting pieces of luggage, in which the pieces of luggage each include an identification element with an information record in the form of plain text and in which at least part of the information record of the identification element is automatically recorded and automatically recognized and automatically checked during a check whether the recognized part of the information record matches at least one record which is stored in a database.
  • the information set is transferred to the database when the identification element is created.
  • the identification record transmitted to the database is also stored in the database as a data record.
  • the invention is based on the idea that automatic detection of the identification element, in particular its plain text, enables efficient, in particular fast and personnel-saving processing. Furthermore, the automatic test enables an efficient, in particular a fast and personnel-saving test.
  • the automatic check can also include other data sources, for example a flight plan, in order to check whether the recorded information set is plausible. For example, it can be checked whether a recorded flight number is in the current flight plan exists and is so plausible - otherwise this text version can be excluded.
  • the sorting is preferably carried out in an airport.
  • "Assign baggage” can be understood as “sort baggage”.
  • the destination to which the piece of luggage is to be transported can be assigned.
  • the destination can be a specific gate, a specific loading zone, for example a certain aircraft, a certain means of luggage transport (especially a certain baggage carousel), a destination airport or the like.
  • a piece of luggage can be, for example, a suitcase, a travel bag, a bulky piece of luggage, a piece of sports equipment or another piece of luggage.
  • the identification element can also be a baggage label, also called a banderole or baggage label.
  • the optical detection can be understood as "detecting" the part of the information set.
  • the detection can take place by means of a reading device, in particular a scanner and / or a camera.
  • An at least partially automatic detection can be understood as "automatic detection”.
  • the recording can include an acting person.
  • the acquisition can take place by means of a handheld reader, in particular a handheld scanner and / or a handheld camera.
  • the information set can be recorded fully automatically.
  • the part of the information set can be understood to mean reading out, in particular reading out by means of software.
  • the recognition / readout can be carried out by means of text recognition software.
  • the recognized part of the information set can be brought into a form that can be read by a computer / software.
  • the information set is in the form of plain text. That is to say, the information set preferably comprises a text that can be read by humans, in particular several letters and / or numbers.
  • a person skilled in the art can read directly from the information record without aids how the item of luggage is to be sorted. It is also advantageous if it can be read from the information record to which destination the item of luggage is to be transported.
  • the information set can include a destination airport code.
  • the destination airport abbreviation can be used to identify the destination airport to which the piece of luggage is to be transported. As a rule, these airport abbreviations are displayed larger than other information so that they can be recorded more easily.
  • the information set can include a barcode.
  • a coded form of information (s) can be understood as a barcode.
  • the information set can preferably be derived from the barcode.
  • the barcode can also be derived from the information record.
  • Information other than the barcode itself is expediently recorded and recognized, which recorded and recognized information is preferably located directly on the identification element.
  • one or more pieces of information are preferably recognized in plain text form, it can be possible to compare different and / or more pieces of information with the database.
  • the recorded part of the information record of the identification element differs from a plain text representation of the barcode.
  • the plain text representation of the barcode can be a baggage number, for example. That is, the information set comprises at least one piece of information that does not correspond to the plain text representation of the barcode.
  • the information set can include plain text, which differs from the plain text representation of a barcode.
  • a plain text representation of the barcode can preferably be dispensed with.
  • an automatic detection of at least part of the information set can make it possible to dispense with the barcode entirely.
  • the recorded part of the information record can be compared character by character with the at least one data record in the database.
  • a luggage carrier can e.g. B. be a baggage carousel and / or a baggage tray.
  • the baggage item is preferably sorted automatically in accordance with the determination.
  • the part of the information set is preferably recorded by an information recording device, in particular by a reading device. It is also advantageous if the part of the information set is recognized by means of optical text recognition, in particular by means of OCR (optical character recognition).
  • OCR optical character recognition
  • the optical text recognition can be carried out by means of text recognition software.
  • the optical text recognition can, for. B. recognize the part of the information set in the form of plain text character by character. Another part of the information set may not be able to be recorded and / or not recognized, for example because this other part has been damaged.
  • hypotheses are set up as to which text could be on the identification element.
  • multiple text versions can be created using optical text recognition.
  • the optical text recognition can indicate a probability and / or a credibility for each text version.
  • the text version with the highest probability and / or credibility can be viewed as the recognized part of the information set. If the recognized part of the information record does not match any of the data records, the recognized part of the information record can be replaced by a further one of the text versions, which is then preferably compared with the database.
  • the created text versions are expediently compared with the data records in the database. Furthermore, it is determined between which of the text versions there is the best match with one of the data records.
  • the recognized part of the information record matches a data record in the database, it can preferably be recognized how the item of luggage is to be sorted.
  • the information set advantageously comprises a plurality of items of information. It is also useful if at least one of the items of information is at least partially recognized. It is preferred if at least one of the items of information is fully recognized. Furthermore, at least two of the items of information can be at least partially recognized.
  • the information set can include a baggage number as information.
  • the information set comprises a boarding number, a passenger name, a flight number, a starting airport abbreviation Stopover airport code and / or a destination airport code as information.
  • the information set can include further information, such as a flight date.
  • the flight date can include the day, month and / or time of the flight.
  • the part of the information set that is automatically recorded and recognized is expediently at least part of this information.
  • the departure airport, the intermediate airport or the destination airport can be the respective airports of the piece of luggage.
  • the data record includes a baggage number, a boarding number, a passenger name, a flight number, a departure airport code, an intermediate airport code and / or a destination airport code.
  • the data record can include further information, such as a flight date.
  • one or more arbitrary items of information in the information set are preferably at least partially recognized, it can be possible to compare different items of information with the database.
  • the pieces of information in the information set are recognized. It is also advantageous if, during the check, it is checked whether the multiple pieces of information match at least one data record in the database.
  • part of the information set can be at least partially recognized and compared with several data sets in the database. Furthermore, if the part of the information set does not match any of the data sets, the information set can be replaced by that data set which has the highest match with the information set.
  • the database is a dynamic database. It makes sense to generate the data records in the dynamic database automatically.
  • the data records of the dynamic database can also be generated independently.
  • the dynamic database is expediently updated continuously, in particular every second.
  • a data record preferably includes the information about the destination to which an item of luggage is to be transported.
  • the piece of luggage can be a piece of flight luggage.
  • the piece of luggage can also be sorted at an airport.
  • the data record can be stored or generated in the database when the bag is handed over at the airport, e.g. B. at a check-in.
  • the creation of the data record can take place simultaneously with the creation of the identification element or it can be time-delayed.
  • a data record generated from the information set is transmitted to all airports involved in the transport of a piece of luggage, for example to a departure airport, to a destination airport and / or to an intermediate airport.
  • an airport at which the item of luggage is sorted may have received the data record from another airport, in particular if the airport at which the item of luggage is sorted is an intermediate airport or a destination airport for the item of luggage. In this way it can be guaranteed that each of the participating airports can access the complete data set. If the identification element is read in at one of the participating airports, the recorded part of the information record can be compared directly with the at least one data record, regardless of which of the participating airports the piece of luggage is currently in. As a rule, the identification element is not damaged until the item of luggage is being transported, so that there is a need to compare the identification element with the at least one data record at the intermediate airport or at the destination airport.
  • the luggage destination can e.g. B. be a certain baggage claim belt in the destination airport.
  • the data record relating to this item of luggage is preferably deleted after a predetermined period of time, in particular after 24 hours after the item of luggage has arrived at the luggage destination.
  • the database at least partially includes information on a flight plan.
  • the flight plan can include flight numbers of arriving aircraft and / or departing aircraft, their departure airport, their landing airport, their departure time and / or their landing time. It is further preferred if, during the check, it is checked whether the recognized part of the information set corresponds to at least one of the flight plan information items stored in the database. In particular, it can be checked during the check whether the recognized part of the information set is plausible.
  • the recognized flight number actually exists, whether the flight with the recognized flight number has already landed, whether the flight from the recognized airport has already landed and / or the like. If recognized information is not plausible, a different version of the information set may become more likely.
  • the flight plan is the current flight plan; H.
  • the flight plan for the last 48 hours and the next 96 hours preferably the flight plan for the last 24 hours and the next 48 hours.
  • the invention also relates to a baggage sorting system for carrying out a method according to the invention.
  • the baggage sorting system according to the invention comprises an information acquisition device for automatic acquisition of the information set in the form of plain text and a checking unit which is set up to automatically check during a check whether a recognized part of the information set corresponds to at least one data set stored in a database.
  • the baggage sorting system according to the invention can be the baggage sorting system mentioned above in connection with the method. Consequently, the elements of the baggage sorting system mentioned below can be the elements mentioned above in connection with the method.
  • the information acquisition device is preferably a reading device. Furthermore, the reading device can capture at least part of the information set. In addition, the reading device can transmit the recorded part of the information set to text recognition software. Optical text recognition can preferably be carried out by means of the text recognition software.
  • the checking unit can comprise the text recognition software.
  • the checking unit can comprise the database. Furthermore, the test unit can have access to the database, in particular access to a storage medium on which the database is stored.
  • the information acquisition device and the test unit are expediently connected to one another by a cable, in particular by a data transfer cable.
  • FIG 1 shows schematically a baggage sorting system 2 with an information acquisition device 4.
  • the information acquisition device 4 is designed as a reading device, in particular as a camera.
  • the baggage sorting system 2 further comprises a test unit 6.
  • the test unit 6 and the information acquisition device 4 are connected to one another by a cable 7, in particular by a data transfer cable.
  • the checking unit 6 comprises text recognition software 8 for optical text recognition.
  • the checking unit 6 also includes a database 10.
  • the database 10 also includes several data records.
  • the database 10 is a dynamic database in which the data records are automatically generated or stored.
  • an identification element 18 is created, an information record 22 is transmitted to the database 10 and stored in the database 10 as a data record.
  • the identification element 22 is created when a piece of luggage 16 is checked in, for example at a departure airport.
  • FIG 1 a luggage belt 12 is shown, which runs over rollers 14.
  • the directions of movement of the rollers 14 and the baggage belt 12 are shown by arrows.
  • the item of luggage could also be transported, for example, using luggage trays and / or another means of luggage transport.
  • the item of luggage 16, in particular an item of flight luggage, is located on the luggage belt 12.
  • the identification element 18, in particular a baggage label, is attached to the item of luggage 16.
  • the identification element 18 comprises the information set 22 in the form of plain text (cf. FIG 2 and FIG 3 ).
  • the information acquisition device 4 is set up for the automatic acquisition of the information record 22 in the form of plain text. At least part of the information set 22 of the identification element 18 is automatically recorded. Furthermore, at least part of the information set 22 is automatically recognized, in particular by means of the text recognition software 8. In addition, during a check, in particular by means of the checking unit 6, it is automatically checked whether the recognized part of the information record 22 has at least one data record that is stored in the database 10 is, matches.
  • the information set 22 of the identification element 18 is in the form of plain text (cf. FIG 2 ). Furthermore, the information set 22 comprises several items of information 24, 26, 28, 30, 32, 34, 36, 38 (cf. FIG 2 ).
  • FIG 2 shows schematically an intact identification element 18.
  • the identification element 18 comprises a barcode 20, which is printed horizontally and vertically.
  • the identification element 18 further comprises an information record 22 in the form of plain text.
  • the information set 22 in turn comprises a boarding number 26, a passenger name 28, an intermediate airport code 32 and the associated flight number 30 and a destination airport code 34 and the associated flight number 30 as information.
  • the information set 22 also includes an issue date 36 and a flight date 38.
  • the information set 22 also includes a baggage number 24 which corresponds to the plain text representation of the barcode 20.
  • FIG 3 shows an example of the identification element 18 from FIG 2 which is now damaged, especially twisted and stuck together.
  • an item of luggage 16 with such a damaged identification element 18 arrives at an intermediate airport and has to be sorted.
  • the barcode 20 and the baggage number 24 are damaged in such a way that this information 20, 24 is now illegible.
  • the text recognition (software) 8 recognizes the part of the information set 22 character by character. Another damaged part of the information set 22 cannot be detected and / or cannot be recognized.
  • the optical text recognition 8 recognizes a plurality of items of information 26, 28, 30, 32, 34 of the information set 22 at least partially.
  • part of the passenger name 28 can be recognized, e.g. B. MUSTERMA, and another part of the passenger name 28 cannot be recognized because the characters of the other part, e.g. B. NN, damaged and thus illegible.
  • the destination airport abbreviation 34 is fully recognized, for example.
  • the text recognition (ssoftware) 8 off FIG 1 hypothesizes what text could be on the identification element 18.
  • multiple text versions can be created by means of the optical text recognition 8.
  • the optical text recognition 8 indicates a probability for each text version.
  • the optical text recognition 8 creates the text versions LH 550, LH 650 and LH 850 for flight number 30 to the destination airport with the probabilities 40%, 50%, 10%.
  • the text version with the highest probability here LH 650
  • the database 10 of the intermediate airport at which the item of luggage 16 is to be sorted has received the data record from a departure airport of the item of luggage 16. This means that the data record relating to the item of luggage 16 was generated at the departure airport, which data record was then transmitted to all participating airports, that is to say to the intermediate airport as well as to the destination airports.
  • the checking unit 6 (of the intermediate airport) can thus access a complete data set.
  • the recognized part of the information set 22 does not match any of the data records, so that the recognized part of the information set 22 can be replaced by another of the text versions (e.g. the recognized Part of the information set 22 the recognized flight number 30 LH 650 can be replaced by the other text version LH 550), which other text version is then preferably compared with the database 10.
  • the database 10 also contains a flight plan for the intermediate airport.
  • the information set can be further compared with the flight plan.
  • flight numbers 30 and airport abbreviations 32, 34 can be compared with the flight plan and it can be established whether the information recognized is plausible.
  • the flight number 30 LH 650 to the destination airport of the item of luggage 16 is not plausible, for example, if a flight with such a flight number 30 z. B. does not take off within the next 24 hours.
  • the destination airport abbreviation 34 of the information set 22 can be compared with the landing airports of departing aircraft entered in the flight plan and, if they match, e.g. possible flight numbers 30 to the destination airport.
  • the in FIG 1 The baggage sorting system 2 illustrated is checked during a check to determine which data record of the database 10 has the greatest correspondence with the recorded part of the information record 22. During the check, it is checked whether the plurality of pieces of information or information parts of the information record 22 recognized match at least one data record in the database 10. In this way, the item of luggage 16 can be assigned a destination and / or other information, ie the item of luggage 16 can be sorted.
  • the item of luggage 16 is preferably sorted automatically in accordance with the determination.
  • information of the identification element other than that mentioned here can also be recorded and recognized and used in the comparison with the data records in the database.

Claims (14)

  1. Procédé de tri de bagages (16), comprenant respectivement un élément d'identification (18) qui comporte un ensemble d'informations (22) se présentant sous la forme d'un texte en clair,
    dans lequel
    - au moins une partie de l'ensemble d'informations (22) de l'élément d'identification (18) est automatiquement détectée et automatiquement reconnue et
    - une vérification permet de vérifier automatiquement si la partie reconnue de l'ensemble d'informations (22) correspond à au moins un ensemble de données stocké dans une base de données (10) ;
    - l'ensemble d'informations (22) étant transmis à la base de données (10) lors de la création de l'élément d'identification (18) et étant stocké dans la base de données (10) en tant qu'ensemble de données.
  2. Procédé selon la revendication 1,
    caractérisé en ce que l'élément d'identification (18) comprend un code à barres (20), la partie détectée de l'ensemble d'informations (22) de l'élément d'identification (18) étant différente d'une représentation en texte en clair du code à barres (20).
  3. Procédé selon la revendication 1 ou 2,
    caractérisé en ce que la vérification permet de vérifier quel ensemble de données de la base de données (10) a la correspondance la plus élevée avec la partie détectée de l'ensemble d'informations (22).
  4. Procédé selon l'une des revendications précédentes, caractérisé en ce que la vérification permet de déterminer automatiquement la destination vers laquelle le bagage (16) doit être transporté.
  5. Procédé selon l'une des revendications précédentes, caractérisé en ce que la partie de l'ensemble d'informations (22) est détectée par un dispositif d'acquisition d'informations (4), notamment par un dispositif de lecture, et est reconnue au moyen d'une reconnaissance optique de texte (8).
  6. Procédé selon l'une des revendications précédentes, caractérisé en ce que l'ensemble d'informations (22) comprend une pluralité d'informations (24, 26, 28, 30, 32, 34, 36, 38) et au moins l'une des informations (24, 26, 28, 30, 32, 34, 36, 38) est au moins partiellement reconnue.
  7. Procédé selon l'une des revendications précédentes, caractérisé en ce que l'ensemble d'informations (22) de l'élément d'identification (18) comprend à titre d'informations un numéro de bagage (24), un numéro d'embarquement (26), un nom de passager (28), un numéro de vol (30), une abréviation d'aéroport de départ, une abréviation d'aéroport d'escale (32) et/ou une abréviation d'aéroport de destination (34)
    et en ce que la partie de l'ensemble d'informations (22) qui est automatiquement détectée et reconnue, est au moins une partie de ces informations (24, 26, 28, 30, 32, 34).
  8. Procédé selon la revendication 7,
    caractérisé en ce que plusieurs des informations (24, 26, 28, 30, 32, 34) de l'ensemble d'informations (22) sont reconnues et que la vérification permet de vérifier si la pluralité d'informations (24, 26, 28, 30, 32, 34) correspondent à au moins un ensemble de données de la base de données (10).
  9. Procédé selon l'une des revendications précédentes, caractérisé en ce qu'une partie de l'ensemble d'informations (22) est au moins partiellement reconnue et comparée à une pluralité d'ensembles de données de la base de données (10) et, si la partie de l'ensemble d'informations (22) ne correspond à aucun des ensembles de données, l'ensemble d'informations (22) est remplacé par l'ensemble de données qui a la correspondance la plus élevée avec l'ensemble d'informations (22).
  10. Procédé selon l'une des revendications précédentes, caractérisé en ce que la base de données (10) est une base de données dynamique, dont les ensembles de données sont créés automatiquement.
  11. Procédé selon la revendication 1,
    caractérisé en ce que le bagage (16) est un bagage d'avion qui est trié dans un aéroport, et un ensemble de données généré à partir de l'ensemble d'informations (22) est transmis à tous les aéroports impliqués dans le transport d'un bagage (16), par exemple à un aéroport de départ, à un aéroport de destination et/ou à un aéroport d'escale.
  12. Procédé selon l'une des revendications précédentes, caractérisé en ce que la base de données (10) détecte le moment où le bagage (16) arrive à destination et l'ensemble de données relatif à ce bagage (16) est supprimé après une durée prédéterminée, notamment au bout de 24 heures après que le bagage (16) est arrivé à destination.
  13. Procédé selon l'une des revendications précédentes, caractérisé en ce que la base de données (10) comprend au moins partiellement des informations d'un plan de vol, qui comprend les numéros de vol des avions à l'arrivée et/ou au départ, leur aéroport de départ, leur aéroport d'atterrissage, leur heure de départ et/ou leur heure d'atterrissage, et
    la vérification permet de vérifier si la partie reconnue de l'ensemble d'informations (22) correspond à au moins une des informations du plan de vol enregistrées dans la base de données (10), en particulier si la partie reconnue de l'ensemble d'informations (22) est plausible.
  14. Système de tri de bagages (2) pour mettre en œuvre un procédé selon l'une des revendications précédentes, comportant un dispositif d'acquisition d'informations (4) pour détecter automatiquement l'ensemble d'informations (22) sous forme de texte en clair et une unité de vérification (6) qui est conçue pour vérifier automatiquement lors d'une vérification si une partie reconnue de l'ensemble d'informations (22) correspond à au moins un ensemble de données qui est enregistré dans une base de données (10).
EP16155151.0A 2016-02-11 2016-02-11 Procede de tri de bagages et systeme de tri de bagages Active EP3205411B1 (fr)

Priority Applications (8)

Application Number Priority Date Filing Date Title
PT161551510T PT3205411T (pt) 2016-02-11 2016-02-11 Método de classificação de bagagem e sistema de classificação de bagagem
ES16155151T ES2837357T3 (es) 2016-02-11 2016-02-11 Procedimiento de clasificación de equipaje y sistema de clasificación de equipaje
EP16155151.0A EP3205411B1 (fr) 2016-02-11 2016-02-11 Procede de tri de bagages et systeme de tri de bagages
US16/077,547 US11865586B2 (en) 2016-02-11 2016-11-15 Method for sorting pieces of luggage and luggage sorting system
CA3014096A CA3014096C (fr) 2016-02-11 2016-11-15 Procede pour trier des bagages et systeme de tri de bagages
CN201680081575.8A CN108602095B (zh) 2016-02-11 2016-11-15 用于分拣行李件的方法和行李分拣系统
PCT/EP2016/077724 WO2017137106A1 (fr) 2016-02-11 2016-11-15 Procédé pour trier des bagages et système de tri de bagages
HK18114127.7A HK1255129A1 (zh) 2016-02-11 2018-11-06 用於分揀行李件的方法和行李分揀系統

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP16155151.0A EP3205411B1 (fr) 2016-02-11 2016-02-11 Procede de tri de bagages et systeme de tri de bagages

Publications (2)

Publication Number Publication Date
EP3205411A1 EP3205411A1 (fr) 2017-08-16
EP3205411B1 true EP3205411B1 (fr) 2020-08-19

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EP3572156B1 (fr) 2018-05-24 2020-07-22 Solystic Procede de tri de bagages dans un aeroport
EP3572157B1 (fr) 2018-05-24 2020-07-29 Solystic Procede de tri bagage en aeroport avec videocodage optimise

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US11146733B1 (en) * 2019-08-16 2021-10-12 American Airlines, Inc. Cargo management system and methods
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CN115270836A (zh) * 2022-09-22 2022-11-01 广州市弘宇科技有限公司 行李中转识别的方法、系统及装置

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EP3572157B1 (fr) 2018-05-24 2020-07-29 Solystic Procede de tri bagage en aeroport avec videocodage optimise
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Also Published As

Publication number Publication date
WO2017137106A1 (fr) 2017-08-17
CN108602095B (zh) 2024-06-28
CA3014096C (fr) 2021-06-22
CA3014096A1 (fr) 2017-08-17
PT3205411T (pt) 2020-09-01
US11865586B2 (en) 2024-01-09
ES2837357T3 (es) 2021-06-30
HK1255129A1 (zh) 2019-08-09
US20190039098A1 (en) 2019-02-07
CN108602095A (zh) 2018-09-28
EP3205411A1 (fr) 2017-08-16

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