Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_23bcc0a59f58a1a7799c32aedc8a64ab |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-002 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/A61B5-7264 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/A61B2562-08 |
classificationCPCInventive |
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/G06N3-088 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K19-07749 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K19-0723 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/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-65 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K7-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-65 |
filingDate |
2018-08-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2019-01-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5efd39a7a247115cfba7efc627137534 |
publicationDate |
2019-01-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-10192636-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-110586485-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110586485-B |
priorityDate |
2015-02-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |