Furferi, R.; Governi, L.; Puggelli, L.; Servi, M.; Volpe, Y. Machine Vision System for Counting Small Metal Parts in Electro-Deposition Industry. Appl. Sci.2019, 9, 2418.
Furferi, R.; Governi, L.; Puggelli, L.; Servi, M.; Volpe, Y. Machine Vision System for Counting Small Metal Parts in Electro-Deposition Industry. Appl. Sci. 2019, 9, 2418.
Furferi, R.; Governi, L.; Puggelli, L.; Servi, M.; Volpe, Y. Machine Vision System for Counting Small Metal Parts in Electro-Deposition Industry. Appl. Sci.2019, 9, 2418.
Furferi, R.; Governi, L.; Puggelli, L.; Servi, M.; Volpe, Y. Machine Vision System for Counting Small Metal Parts in Electro-Deposition Industry. Appl. Sci. 2019, 9, 2418.
Abstract
In the fashion field, the use of electroplated small metal parts such as studs, clips and buckles is widespread. The plate is often made of precious metal, such as gold or platinum. Due to the high cost of these materials, it is strategically relevant and of primary importance for manufacturers to avoid any waste by depositing only the strictly necessary amount of material. To this aim, Companies need to be aware of the overall number of items to be electroplated so that it is possible to properly set the parameters driving the galvanic process. Accordingly, the present paper describes a Machine Vision-based method able to automatically count small metal parts arranged on a galvanic frame. The devised method relies on the definition of a proper acquisition system and on the development of image processing-based routines. Such a system is then implemented on a counting machine is meant to be adopted in the galvanic industrial practice to properly define a suitable set or working parameters (such as current, voltage and deposition time) for the electroplating machine and, thereby, to assure the desired plate thickness from one side and to avoid material waste on the other.
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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