| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_23bcc0a59f58a1a7799c32aedc8a64ab |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2562-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1113
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2562-0219
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2503-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-002 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-65
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K7-10366
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K19-07749
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K19-0723 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K7-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-65
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-08 |
| filingDate |
2018-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2019-01-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5efd39a7a247115cfba7efc627137534 |
| publicationDate |
2019-01-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-10186329-B1 |
| titleOfInvention |
Baggage system, RFID chip, server and method for capturing baggage data |
| abstract |
A baggage system includes a plurality of RFID tags affixed to baggage items, a data collection engine, client devices and backend devices. The backend devices include trained machine learning models, business logic, and attributes of a plurality of events. A plurality of data collection engines and baggage terminal systems send attributes of new events to the backend devices. The backend devices can track the baggage items and predict particular outcomes of new events based upon the attributes of the new events utilizing the trained machine learning models. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110110785-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110110785-A |
| priorityDate |
2015-02-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |