| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ae15396132411fbb4b24a51c72d80846 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-774 |
| filingDate |
2022-03-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a1376dc6cb315179d4863a1b30228be8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c4ce907142fa4770a990958bac04c594
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6f2318646d3a67af8f81c402c2ccb037
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3440604bff8e687c17d3dced9acf955e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0f34483e874ff5193b8b7547257a4a21
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_992a535aa2f85a8a188f5e4bb1544cb0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e801920ad71e30b08d5a5fe3ad5963dc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0ffd7d5ffd0f0687567df6f0d329e30e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_88211bc28e2e815a275ff85d44799451
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_90605af2f71593f870713fa32f18635f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c0232e48ad389e72cb1bbbe413db01ae
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_df415a9e72830d0c1228bff0b70b65df |
| publicationDate |
2022-08-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114972901-A |
| titleOfInvention |
A rapid identification method of sulfur-fumed medicinal materials based on artificial intelligence YOLOX algorithm |
| abstract |
The invention relates to a rapid identification method for sulfur-fumed medicinal materials based on an artificial intelligence YOLOX algorithm. The unsulfur-fumed medicinal materials samples are subjected to sulfur-fuming treatment in a sulfur-fuming device to obtain sulfur-fumed medicinal materials samples; Images were taken of the samples; images of sulfur-fumed medicinal materials and unsulfur-fumed medicinal materials were taken to construct a sample data set, and the YOLOX model was trained; finally, the medicinal materials to be identified were input into the sulfur-fumed medicinal materials detection model to achieve rapid identification of medicinal materials. The invention adopts the artificial intelligence YOLOX algorithm to quickly identify sulfur-fumed medicinal materials, overcomes the defects of large subjective influence and poor consistency of artificial sensory evaluation, and provides an accurate and objective method for rapid identification of sulfur-fumed medicinal materials. |
| priorityDate |
2022-03-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |