Abstract
Printed Circuit Boards (PCBs) are components with increasing use for many applications. The industrial production of these components led to a situation of necessary efficient automation performance, for their production, and, mainly, of test systems for their quality control during the production process. Quality control of PCBs is a very complex task and the development of automatic testing machines is an asset for this purpose. This work is focused on the development of a vision system to be used in an automatic machine for testing PCBs in a systematic and automated procedure. The test procedure developed for PCBs is based on the development of a tool composed of needles that, when coming into contact with PCBs at predetermined contact points, allow the measurement of different predefined parameters and conclusion on their quality. The task of checking and controlling the quality of these needles, in the developed tool, is also automated, requiring a vision system to ensure that these needles meet the requirements for their assembly. This vision system is capable of detecting problems in the needle beds, and it is important to assess whether they will be able to be embedded in the PCBs, taking this process into account.
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Acknowledgments
This work is co-funded by the European Regional Development Fund (ERDF) through the North Regional Operational Program (NORTE 2020) of the Portugal 2020 Program [Project No. 43922, with acronym “iFixturing”; Funding Reference NORTE-01-0247-FEDER-043922].
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Pereira, F. et al. (2022). Design of a Vision System for Needles’ Beds Positioning Inspection: An Industrial Application. In: Hamrol, A., Grabowska, M., Maletič, D. (eds) Advances in Manufacturing III. MANUFACTURING 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-00218-2_12
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