Machine vision for automatic inspection of pin through hole components assembled on a PCB

S Celaschi; MS de Castro; Alecio Fernandes; A.L. Xavier

doi:10.30574/gjeta.2021.6.1.0004

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Machine vision for automatic inspection of pin through hole components assembled on a PCB

S Celaschi ^{1, *}, MS de Castro ², Alecio Fernandes and A.L. Xavier ³

1 CTI Renato Archer, 13069-901, Campinas – SP, Brazil.

2 Sumsung Eletrônica da Amazônia, 13097-000, Campinas – SP, Brazil.

3 Agencia Espacial Brasileira, Brasília - 70610-200, DF, Brazil.

Research Article

Global Journal of Engineering and Technology Advances, 2021, 06(01), 091-098.

Article DOI: 10.30574/gjeta.2021.6.1.0004

DOI url: https://doi.org/10.30574/gjeta.2021.6.1.0004

Publication history

Received on 08 January 2021; revised on 15 January 2021; accepted on 17 January 2021

Abstract

Automatic and innovative equipment was developed to inspect the assembly of pin-through-hole components on printed circuit boards. Its performance was tested on an industrial assembly line of motherboards for desktop computers. The test was conducted to inspect, under the binomial criterion Pass/Fail, the process of inserting PTH-DIMM components on semi-finished PCBs. Using the concept of Inspection Accuracy in binomial classification analysis it was estimated that the accuracy of this inspection is greater than 98%.

Keywords

Automatic Optical Inspection; Machine Vision; Printed Circuit Board; PTH components.

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How to cite this article

S Celaschi, MS de Castro, Alecio Fernandes and A.L. Xavier. Machine vision for automatic inspection of pin through hole components assembled on a PCB. Global Journal of Engineering and Technology Advances, 2021, 6(1), 091-098. Article DOI: https://doi.org/10.30574/gjeta.2021.6.1.0004

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