Invention Grant
- Patent Title: Substance identification device and method for extracting statistical feature based on cluster analysis
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Application No.: US16935415Application Date: 2020-07-22
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Publication No.: US11619599B2Publication Date: 2023-04-04
- Inventor: Zhi Zeng , Xingyu Pan , Xuewu Wang , Junli Li , Ming Zeng , Jianmin Li , Ziran Zhao , Jianping Cheng , Hao Ma , Hui Zhang , Hao Yu , Bicheng Liu
- Applicant: Tsinghua University , NUCTECH COMPANY LIMITED
- Applicant Address: CN Beijing; CN Beijing
- Assignee: Tsinghua University,NUCTECH COMPANY LIMITED
- Current Assignee: Tsinghua University,NUCTECH COMPANY LIMITED
- Current Assignee Address: CN Beijing; CN Beijing
- Agency: Merchant & Gould P.C.
- Priority: CN201910669208.5 20190723
- Main IPC: G01N23/201
- IPC: G01N23/201 ; G01N23/02 ; G06K9/62

Abstract:
The present disclosure provides a substance identification device and a substance identification method. The substance identification device comprises: a classifier establishing unit configured to establish a classifier based on scattering density values reconstructed for a plurality of known sample materials, wherein the classifier comprises a plurality of feature regions corresponding to a plurality of characteristic parameters for the plurality of known sample materials, respectively; and an identification unit for a material to be tested, configured to match the characteristic parameter of the material to be tested with the classifier, and to identify a type of the material to be tested by obtaining a feature region corresponding to the characteristic parameter of the material to be tested.
Public/Granted literature
- US20210025836A1 SUBSTANCE IDENTIFICATION DEVICE AND METHOD FOR EXTRACTING STATISTICAL FEATURE BASED ON CLUSTER ANALYSIS Public/Granted day:2021-01-28
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