A Low-Cost Vision-Based Monitoring of Computer Numerical Control (CNC) Machine Tools for Small and Medium-Sized Enterprises (SMEs).

Kim, Hyungjung; Jung, Woo-Kyun; Choi, In-Gyu; Ahn, Sung-Hoon

Kim, Hyungjung; Jung, Woo-Kyun; Choi, In-Gyu; Ahn, Sung-Hoon.

Afiliação

Kim H; Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Korea. hjkim81@snu.ac.kr.
Jung WK; Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Korea. afrak64@snu.ac.kr.
Choi IG; Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Korea. timetraveler@snu.ac.kr.
Ahn SH; Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Korea. ahnsh@snu.ac.kr.

Sensors (Basel) ; 19(20)2019 Oct 17.

Article em En | MEDLINE | ID: mdl-31627348

Palavras-chave

machine tool monitoring; open-source software; optical character recognition; small and medium-sized enterprises; smart factory

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article

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