Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Study of PCB micro-drilling geometry detection method based on machine vision

Authors
Ting Zhou, Tao Cheng, Ping Feng, Xiaobo Peng
Corresponding Author
Ting Zhou
Available Online July 2015.
DOI
https://doi.org/10.2991/icismme-15.2015.70How to use a DOI?
Keywords
PCB micro-drilling; Dimensional inspection; Machine vision; Image processing
Abstract
Traditional methods rely on for measuring tools in the machine detection of PCB micro drill have limitations, for example, labor-intensive, poor stability, low efficiency and so on. This paper proposes a detection method for machine vision and image feature extraction, and achieves non-contact, high-precision online/offline automatic measurement of geometry of PCB micro-drilling. The simulation and experimental results show that this method is simple, feasible and able to quickly and accurately measure the PCB micro-drilling. It’s up to 1 m and can also be used for dimensional inspection of other small parts. This has great practical value.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Sciences, Machinery, Materials and Energy
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/icismme-15.2015.70How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ting Zhou
AU  - Tao Cheng
AU  - Ping Feng
AU  - Xiaobo Peng
PY  - 2015/07
DA  - 2015/07
TI  - Study of PCB micro-drilling geometry detection method based on machine vision
BT  - First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 354
EP  - 359
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.70
DO  - https://doi.org/10.2991/icismme-15.2015.70
ID  - Zhou2015/07
ER  -