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Construction of intelligent testing system for electronic components
Author(s) -
Kui Zhang,
Cui Yaru,
Zhao Hai-long,
An Shengbiao,
Jie Huang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1693/1/012215
Subject(s) - computer science , consistency (knowledge bases) , flexibility (engineering) , process (computing) , automation , quality (philosophy) , identification (biology) , enhanced data rates for gsm evolution , software , electronics , software engineering , engineering , artificial intelligence , operating system , mechanical engineering , philosophy , statistics , botany , mathematics , electrical engineering , epistemology , biology
In order to solve the problems such as unreasonable plan, opaque process, insufficient flexibility and excessive manual participation in the process of screening, identification and quality consistency inspection of electronic components in China, a software and hardware construction scheme of intelligent detection system for electronic components is proposed, which integrates the cutting-edge technologies such as machine vision, deep learning, IOT(internet of things), data mining. Relying on the National Semiconductor Device Quality Supervision and Inspection Center, part of the construction work has been completed, and the information, automation and intelligence of the testing business have been realized.

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