| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2ebf79f7681d09f2352a99713ecbe3f2 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8883
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8887
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-90
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30108 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-776
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-9027
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0008
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-7747
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-8851
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-88
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-90 |
| filingDate |
2020-09-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_52e5bce0c5c8d12259fd2ab3162e6ed2 |
| publicationDate |
2022-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-4016057-A1 |
| titleOfInvention |
Learning process device and inspection device |
| abstract |
Provided is a learning processing device (30) which is based on a neural network model and image data obtained by capturing an image of the object to be inspected, and which constructs the neural network model used for inspecting the object to be inspected, the learning processing device (30) being provided with a learning unit (30) which performs a learning process under prescribed learning conditions on the basis of a list of the image data including a plurality of learning images and constructs the neural network model, wherein the learning unit (30) embeds unique model identification data in the neural network model, whenever the neural network model is constructed. |
| priorityDate |
2019-09-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |