http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112528690-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_eda37409f26cb8e833ba67f2b1bc1fd5
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01B15-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N23-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K7-10
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01B15-04
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_8d391aa727db3f79d87e718801d24954
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2f3b30bd95cd8778cfdec2ca97636d53
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e03d879e40b016a5749ab4421e190353
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_43fcf9c61d32dd6f41ae3f53f960bf7b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_771898c8aa68b0d9e928f1f05f637de6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_792c3179c839e669184f37355ee1a586
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_93b9eef13115a4c0786c8f4e2de325ae
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_440931d9d639635683c29e6ca99caa5a
publicationDate 2021-03-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112528690-A
titleOfInvention Non-contact object material and shape recognition method, storage medium and computing device
abstract The invention discloses a non-contact object material and shape identification method, a storage medium and a computing device. The object to be tested is placed in a designated detection area of a sensing plane, and the ID and RSS of each tag in the process of communication between an RFID reader and a tag are collected. value and phase parameters, identify the shape and material of the object to be tested; perform similarity calculation, and determine the classification of the object to be tested according to the obtained results as seen items and unseen items; if it is a seen item, it will collect The obtained RSS and phase signals are extracted to obtain the optimal features, and the material and shape of the item to be tested are identified; if it is an unseen item, the text feature that is closest to the RF feature similarity of the item to be tested is searched in the hidden space. The corresponding text with the highest text feature similarity is used as the recognition category of the item to be tested, and the material and shape of the item to be tested are identified. The invention has low cost, realizes cross-environment, determines the shape and material of the item at the same time, and recognizes the unseen item, that is, the item that does not exist in the training set.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113553858-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113553858-B
priorityDate 2020-11-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419513094
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID28718

Total number of triples: 33.