Method for sorting pieces of luggage and luggage sorting system
Pieces of luggage are sorted which each carries an identification element with a set of information in the form of plaintext. In order to sort pieces of luggage efficiently, at least a portion of the set of information on the identification element is detected automatically and recognized automatically. During an examination, it is automatically verified whether the recognized portion of the set of information matches at least one set of data stored in a database.
1. A method of sorting pieces of luggage, the method comprising:
generating for each piece of luggage an information set including a machine-readable code and human-readable code, and storing the information set as a dataset in a database;
providing each piece of luggage with an identification element carrying the information set with the machine-readable code and human-readable code;
during a sorting process, automatically acquiring and automatically recognizing at least part of the information set in the identification element by acquiring the machine-readable code and, if the machine readable code is not recognizable, automatically acquiring the human-readable code from the identification element;
performing a check to thereby automatically verify whether the part of the information set that has been recognized matches at least one dataset that is stored in the database; and
sorting the respective piece of luggage according to information gleaned from the dataset that is stored in the database.
2. The method according to claim 1 , wherein the identification element includes a barcode and the part of the information set in the identification element that has been acquired differs from a plain text representation of the barcode.
3. The method according to claim 1 , wherein the check comprises verifying which dataset in the database has a closest match with the part of the information set that has been acquired.
4. The method according to claim 1 , wherein the check comprises automatically determining a destination to which the piece of luggage is to be transported.
5. The method according to claim 1 , which comprises performing the step of acquiring the part of the information set with an information acquisition apparatus and using optical text recognition for recognizing the part of the information set.
6. The method according to claim 1 , wherein the information set includes a plurality of information items and the at least one of the information items is at least partly recognized.
7. The method according to claim 1 , wherein:
the information set in the identification element includes at least one information item selected from the group consisting of a luggage number, a boarding number, a passenger's name, a flight number, a code for a departure airport, a code for a transit airport, and a code for a destination airport; and
the part of the information set that is automatically acquired and recognized is at least a part of the information items of the group.
8. The method according to claim 7 , which comprises recognizing a plurality of the information items in the information set and verifying, during the check, whether the plurality of information items match at least one dataset in the database.
9. The method according to claim 1 , wherein a part of the information set is at least partly recognized and is compared with a plurality of datasets in the database and, if the part of the information set does not match any of the datasets, replacing the information set by a dataset that has a closest match with the information set.
10. The method according to claim 1 , wherein the database is a dynamic database containing automatically generated datasets.
11. The method according to claim 1 , which comprises transmitting the information set to the database in a context of a generation of the identification element and storing the information set in the database as a dataset.
12. The method according to claim 11 , wherein the piece of luggage is an item of flight luggage that is being sorted at an airport, and the method further comprises transmitting a dataset that is generated from the information set to all airports involved in the transportation of the respective piece of luggage.
13. The method according to claim 12 , which comprises transmitting the dataset to a departure airport and, where applicable, to a destination airport and a transit airport.
14. The method according to claim 1 , which comprises determining in the database when a given piece of luggage arrives at a luggage destination thereof, and deleting the dataset relating to the given piece of luggage after a predetermined period of time following an arrival at the luggage destination.
15. The method according to claim 14 , which comprises deleting the dataset relating to the given piece of luggage after 24 hours following the arrival at the luggage destination.
16. The method according to claim 1 , wherein:
the database at least partly includes information items pertaining to a flight schedule, the flight schedule including information items selected from the group consisting of flight numbers of incoming aircraft, flight numbers of departing aircraft, departure airport, landing airport, arrival airport, departure time, and landing time; and
the check comprises verifying whether the part of the information set that has been recognized matches at least one of the items of the flight schedule that are stored in the database.
17. The method according to claim 16 , wherein the check comprises performing a plausibility check whether the part of the information set that has been recognized is plausible.
18. A luggage sorting system, wherein each piece of luggage includes an identification element with an information set in the form of machine-readable code and human-readable code, comprising:
a database having stored therein a dataset for each piece of luggage, the dataset containing the machine-readable code and human-readable code of the information set;
an information acquisition apparatus for automatically acquiring the information set in the form of human-readable code from the identification element and subjecting the human-readable code to optical character recognition if the machine-readable code is not recognizable; and
a checking unit configured to access the database in which the dataset with the machine-readable code and human-readable code is stored and to automatically verify, during a check, whether a part of the information set that has been recognized matches at least one dataset that is stored in the database.