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

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/icismme-15.2015.70
ID  - Zhou2015/07
ER  -