Open AccessResearch on automatic arrange and detect system for plentiful immethodical components
Author(s) -
Kui Zhang,
Ru Zhang,
Cui Yaru,
Hailong Zhao,
Liu Huaguang,
Ran Honglei,
Yin Liu
Publication year - 2021
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 - 10.1088/1742-6596/1846/1/012028
Subject(s) - miniaturization , computer science , sample (material) , electronics , feature (linguistics) , matching (statistics) , artificial intelligence , quality (philosophy) , computer hardware , engineering , electrical engineering , linguistics , chemistry , philosophy , statistics , mathematics , epistemology , chromatography
With the development of electronic technology, the requirements for electronic components are gradually becoming chip, miniaturization and high precision. In this case, problems such as scattered sample parts and poor detection accuracy and stability in traditional production testing methods seriously affect production quality. Therefore, in-depth study of intelligent material discharge detection has become an important way to solve the problem. In this paper, the needs of intelligent detection are comprehensively analyzed, and the machine vision imaging optimization is deeply studied, feature matching and small sample capture placement technologies are learned. In order to realize intelligent discharge detection of micro scattered equipment, an automatic discharge system is developed, which integrates counting module, defect detection module and automatic discharge module.