| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fd37276b8bd3adc92dd388854c3baf52 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30156
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/G01N2201-1296
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3586
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S17-89
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30148
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B2219-45031
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B2219-32335
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S15-89 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3563
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3581
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S13-89
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-008
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B13-027
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B19-41875
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S13-888
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S7-412
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S7-417 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B19-418
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B13-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T11-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-3581
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-3563
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate |
2019-08-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f3e62a6b9dfcf77ffbff80fda489d6e9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b66391e33cd9e0170051f954f652a7aa
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c6b83485f25c2b25049a638d3e7bcb04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_93ee20045b21267fb887cc23661deece |
| publicationDate |
2021-03-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2021064013-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 |