Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8a7dded9775efdb91e05126f728c752b |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30141 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20104 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-95638 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8887 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20132 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-956 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-8851 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-88 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-32 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-956 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-34 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
filingDate |
2020-11-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7dd46b480fb68e24fcfe3e75d7d4ec29 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ad58bff5c8dc17ff70ae964060257917 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_33d2eab88b200acb41a82fe992d4d265 |
publicationDate |
2021-02-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
CN-112419260-A |
titleOfInvention |
A kind of PCB text area defect detection method |
abstract |
The invention discloses a method for detecting defects in a PCB character area. The method includes the following steps: S1 acquires a standard image sub-region image, and splits the standard image into small images that are convenient for processing; S2 uses a trained text detection model to screen the standard sub-region image containing text; S3 uses a fast positioning method The method obtains the test sub-area images corresponding to the standard sub-area images, and labels the data to construct a training data set; S4 builds a model, and uses the training data set to train the model; S5 sends the standard text area images and the test text area images into the trained network to obtain the prediction result; S6 judges whether the sub-region image contains defects according to the network prediction result. By using the present invention, the defects of the PCB character area can be accurately detected, and the misjudgment when the characters are inconsistent is eliminated. The invention can be widely used in PCB board related defect detection systems in industrial vision. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115035101-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114943738-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116678898-A |
priorityDate |
2020-11-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |