| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f2d9fd632e7ef936d0d33e7b9b5f018c |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G08B21-182
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-082
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-0427
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-042
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00624 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G08B21-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2020-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2021-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c445734b3c46f41c8620cbba553487d4
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0988a17f83830cc0b37f0aff5f9bab00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e28dd714a6d7a4bfc67aab2988053957 |
| publicationDate |
2021-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
KR-102199627-B1 |
| titleOfInvention |
Apparatus for recognizing approaching vessel considering distance objects based on Deep Neural Networks, method therefor, and computer recordable medium storing program to perform the method |
| abstract |
Based on the deep neural network of the present invention, an apparatus for recognizing an approaching vessel considering the distance of a marine object includes a camera unit for capturing a surveillance image, and an area box indicating an area occupied by an object included in the captured surveillance image. A preprocessor that detects an object image by specifying through, a deep neural network that outputs with probability whether the object of the object image is a ship, and determines whether the object is a ship according to the probability, and the determination result, the object If is a ship, it calculates a risk indicating a probability of occurrence of a collision with the ship, and includes a control unit to warn of a collision risk if the calculated risk is higher than a threshold. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102311089-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102590238-B1 |
| priorityDate |
2020-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |