| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_1bbcd32d9adf88cbba6f84d9576e0c94 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30108
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23213
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate |
2021-02-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_14d8433f92892b505e0a5716c9e1443f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_18753b5fcd6e2821a6c667a4f4d94b79
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_00122e3e6ce892b6f327ad58904e74de |
| publicationDate |
2021-06-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-112950547-A |
| titleOfInvention |
A machine vision detection method for lithium battery separator defects based on deep learning |
| abstract |
The invention provides a machine vision detection method for lithium battery separator defects based on deep learning. and categories, and generate feature sets according to the defect range and category of various defect diaphragm images; use clustering algorithm to load feature sets to obtain a priori frame; build Yolov4 neural network model; use data set and feature set to train Yolov4 neural network model; Defect detection of lithium battery separators using the trained Yolov4 neural network model. The invention can improve the identification, detection and positioning efficiency of the lithium battery separator defect, improve the production efficiency and save the cost. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114136981-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113537414-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023272421-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113758932-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114782429-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023155069-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113758932-A |
| priorityDate |
2021-02-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |