Early Detection Using a Vision System Integrated to a Die-Casting Equipment

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Abstract

This paper aims to report a study on the impacts of the usage of a vision system, integrated into die-casting equipment of metal alloy material, for early detection of defective products generated during the manufacturing process. After performing the analysis of the current process, we used the early detection of a defective product as a method of detecting the deviation of a process, in order to allow the rapid interruption of the production, preventing producing more non-conforming products and, later, compared the effectiveness of this inclusion to the traditional and pre-established system, known as SPC - Statistical Process Control. SPC is widely used however, due to its nature of sampling control, there may be a risk of sending products with problems to the next operation, or even to the final customer, and in certain sectors of the industry, such as automotive, fault tolerance levels are in a constantly decreasing due to the potential damage that a bad product can cause to the company.

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APA

dos Santos, R. E., & Lins, R. G. (2022). Early Detection Using a Vision System Integrated to a Die-Casting Equipment. In Smart Innovation, Systems and Technologies (Vol. 295 SIST, pp. 311–323). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-08545-1_30

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