Study of PCB micro-drilling geometry detection method based on machine vision
Ting Zhou, Tao Cheng, Ping Feng, Xiaobo Peng
Available Online July 2015.
- https://doi.org/10.2991/icismme-15.2015.70How to use a DOI?
- PCB micro-drilling; Dimensional inspection; Machine vision; Image processing
- 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.
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 -