http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108960005-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-751 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-172 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-443 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V30-1478 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-584 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-30 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2017-05-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108960005-B |
| titleOfInvention | A method and system for establishing and displaying object visual labels in intelligent visual Internet of Things |
| abstract | The invention discloses a method and a system for establishing and displaying object visual labels in the intelligent vision Internet of things, wherein the method comprises: step 1, using the intelligent vision Internet of things to collect images of different types of objects; step 2, according to the collected images Corresponding visual tag libraries are established for different types of objects, and corresponding identification methods are constructed for different types of objects; and in step 3, the corresponding identification methods are selected according to the types of objects to identify and display the visual tag information of the identified objects. The invention establishes visual labels for the images of faces, license plates and objects, which are the key concerns in the intelligent visual Internet of Things, and establishes corresponding visual labels for the images of people, vehicles and objects through a certain algorithm, and realizes these three types of visual information. of interrelatedness. |
| priorityDate | 2017-05-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 23.