Szczegóły publikacji

Opis bibliograficzny

Transfer learning algorithm in image analysis with augmented reality headset for Industry 4.0 technology / Mateusz KOZEK // W: MSM'2020 [Dokument elektroniczny] : Mechatronic Systems and Materials : 15th international conference : 1–3 July 2020, Białystok, Poland / eds. Z. Kulesza, [et al.]. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2020. — e-ISBN: 978-1-7281-6956-9. — S. 71–75. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 74–75, Abstr. — Abstract W: MSM 2020 [Dokument elektroniczny] : 15th international conference : Mechatronic Systems and Materials : 1–3 July 2020, Białystok, Poland : book of abstracts. — Wersja do Windows. — Dane tekstowe. — [Białystok : Bialystok University of Technology], [2020]. — S. 14. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://www.msm2020.pb.edu.pl/app/uploads/2020/06/MSM2020-BOOK-OF-ABSTRACTS.pdf [2020-08-31].

Autor

Słowa kluczowe

Industry 4.0mixed realityaugmented realitymachine learning

Dane bibliometryczne

ID BaDAP129808
Data dodania do BaDAP2020-09-09
Tekst źródłowyURL
DOI10.1109/MSM49833.2020.9201739
Rok publikacji2020
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaInstitute of Electrical and Electronics Engineers (IEEE)

Abstract

Modern technology lines in Industry 4.0 standard use many complex smart systems to improve the speed of production. Manufacturing becomes more flexible and, on the other hand, more demanding for a process operator. This article presents mixed reality glasses that supports the work of the operator integrated via a cloud with a technology line. Transfer learning algorithm is shown in a set of artificial neural network algorithms belonging to the Deep Learning class to analyze the image from ML headset. This algorithm is designed to recognize the current occupation of the storage tray with direct transmission of information to the control and measurement system.

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