| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5d7576285d411d00c697e07270d2814a |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30156
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2201-1296
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S17-89
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/G01N21-3586
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B2219-32335
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B2219-45031
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S15-89
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30148 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3581
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S7-417
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S7-412
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B13-027
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-41875
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S13-89
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S13-888
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-008
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3563 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S13-89
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S13-88
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V3-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S7-48
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01V8-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S7-41
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S7-539
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-3581 |
| filingDate |
2020-05-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_886c352be573ae72a09b5186c39100ce
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_43d66a001b913b829efafc7764174d5f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7ede3d638c50f0cf0691e9e92f5417da
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ba506f33906555d0c25d206612948c8c |
| publicationDate |
2022-07-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-4022341-A1 |
| titleOfInvention |
Learning-based see-through sensing suitable for factory automation |
| abstract |
A scanner for image reconstruction of a structure of a target object uses a neural network trained to classify each segment of a sequence of segments of a modified wave into one or multiple classes. The sequence of segments corresponds to the sequence of layers of the target object, such that a segment of modified wave corresponds to a layer having the same index in the sequence of layers as an index of the segment in the sequence of segments. The scanner executes the neural network for each wave modified by penetration through the layers of the target object to produce the classes of segments of the modified waves. Next, the scanner selects the classes of segments of different modified waves corresponding to the same layer to produce an image of the layer of the target object with pixel values being functions of labels of the selected classes. |
| priorityDate |
2019-08-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |