Artirilmiş gerçeklik gözlükleri ile nesne tanima

Mehmet Selcuk Albayrak; Alper O. Ner; Hazim Kemal Ekenel

doi:10.1109/SIU.2019.8806255

Artirilmiş gerçeklik gözlükleri ile nesne tanima

Mehmet Selcuk Albayrak
, Alper O. Ner
, Hazim Kemal Ekenel

Bilgisayar Mühendisliği Bölümü

Innovation and Transformation Department

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

2 Atıf (Scopus)

Özet

Employee training in fast-food restaurants is a long, practice-based process which is mainly done on the job. Employee performance during training directly affects service quality and customer satisfaction. In this study, it is aimed to optimize the training process in fast-food restaurants with use of augmented reality glasses. For this purpose, a comparative study is performed to determine the most suitable model of augmented reality glasses in the market. It is aimed to shorten the training period of the employee, to help the employee in this process and to introduce the objects around him. Light convolutional neural networks are compared to solve the object recognition problem on augmented reality glasses. As a result, MobileNet model is selected and fine-tuned to recognize the objects in a restaurant kitchen. The outcomes of this study will be used to fully train and supervise the employees without the need for a trainer in the future.

Tercüme edilen katkı başlığı	Object recognition on augmented reality glasses
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	27th Signal Processing and Communications Applications Conference, SIU 2019
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728119045
DOI'lar	https://doi.org/10.1109/SIU.2019.8806255
Yayın durumu	Yayınlandı - Nis 2019
Etkinlik	27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Türkiye Süre: 24 Nis 2019 → 26 Nis 2019

Yayın serisi

Adı	27th Signal Processing and Communications Applications Conference, SIU 2019

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	27th Signal Processing and Communications Applications Conference, SIU 2019
Ülke/Bölge	Türkiye
Şehir	Sivas
Periyot	24/04/19 → 26/04/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Keywords

Augmented reality glasses
Convolutional neural networks
Deep learning
Fast food employee training

Belgeye Erişim

10.1109/SIU.2019.8806255

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Albayrak, M. S., Ner, A. O., & Ekenel, H. K. (2019). Artirilmiş gerçeklik gözlükleri ile nesne tanima. In 27th Signal Processing and Communications Applications Conference, SIU 2019 Makale 8806255 (27th Signal Processing and Communications Applications Conference, SIU 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2019.8806255

@inproceedings{6b0ba5f2da314edc9255d975d8d3fb69,

title = "Artirilmi{\c s} ger{\c c}eklik g{\"o}zl{\"u}kleri ile nesne tanima",

abstract = "Employee training in fast-food restaurants is a long, practice-based process which is mainly done on the job. Employee performance during training directly affects service quality and customer satisfaction. In this study, it is aimed to optimize the training process in fast-food restaurants with use of augmented reality glasses. For this purpose, a comparative study is performed to determine the most suitable model of augmented reality glasses in the market. It is aimed to shorten the training period of the employee, to help the employee in this process and to introduce the objects around him. Light convolutional neural networks are compared to solve the object recognition problem on augmented reality glasses. As a result, MobileNet model is selected and fine-tuned to recognize the objects in a restaurant kitchen. The outcomes of this study will be used to fully train and supervise the employees without the need for a trainer in the future.",

keywords = "Augmented reality glasses, Convolutional neural networks, Deep learning, Fast food employee training",

author = "Albayrak, \{Mehmet Selcuk\} and Ner, \{Alper O.\} and Ekenel, \{Hazim Kemal\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th Signal Processing and Communications Applications Conference, SIU 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

year = "2019",

month = apr,

doi = "10.1109/SIU.2019.8806255",

language = "T{\"u}rk{\c c}e",

series = "27th Signal Processing and Communications Applications Conference, SIU 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "27th Signal Processing and Communications Applications Conference, SIU 2019",

address = "United States",

}

Albayrak, MS, Ner, AO & Ekenel, HK 2019, Artirilmiş gerçeklik gözlükleri ile nesne tanima. in 27th Signal Processing and Communications Applications Conference, SIU 2019., 8806255, 27th Signal Processing and Communications Applications Conference, SIU 2019, Institute of Electrical and Electronics Engineers Inc., 27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Türkiye, 24/04/19. https://doi.org/10.1109/SIU.2019.8806255

Artirilmiş gerçeklik gözlükleri ile nesne tanima. / Albayrak, Mehmet Selcuk; Ner, Alper O.; Ekenel, Hazim Kemal.
27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8806255 (27th Signal Processing and Communications Applications Conference, SIU 2019).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Artirilmiş gerçeklik gözlükleri ile nesne tanima

AU - Albayrak, Mehmet Selcuk

AU - Ner, Alper O.

AU - Ekenel, Hazim Kemal

PY - 2019/4

Y1 - 2019/4

N2 - Employee training in fast-food restaurants is a long, practice-based process which is mainly done on the job. Employee performance during training directly affects service quality and customer satisfaction. In this study, it is aimed to optimize the training process in fast-food restaurants with use of augmented reality glasses. For this purpose, a comparative study is performed to determine the most suitable model of augmented reality glasses in the market. It is aimed to shorten the training period of the employee, to help the employee in this process and to introduce the objects around him. Light convolutional neural networks are compared to solve the object recognition problem on augmented reality glasses. As a result, MobileNet model is selected and fine-tuned to recognize the objects in a restaurant kitchen. The outcomes of this study will be used to fully train and supervise the employees without the need for a trainer in the future.

AB - Employee training in fast-food restaurants is a long, practice-based process which is mainly done on the job. Employee performance during training directly affects service quality and customer satisfaction. In this study, it is aimed to optimize the training process in fast-food restaurants with use of augmented reality glasses. For this purpose, a comparative study is performed to determine the most suitable model of augmented reality glasses in the market. It is aimed to shorten the training period of the employee, to help the employee in this process and to introduce the objects around him. Light convolutional neural networks are compared to solve the object recognition problem on augmented reality glasses. As a result, MobileNet model is selected and fine-tuned to recognize the objects in a restaurant kitchen. The outcomes of this study will be used to fully train and supervise the employees without the need for a trainer in the future.

KW - Augmented reality glasses

KW - Convolutional neural networks

KW - Deep learning

KW - Fast food employee training

UR - https://www.scopus.com/pages/publications/85071994178

U2 - 10.1109/SIU.2019.8806255

DO - 10.1109/SIU.2019.8806255

M3 - Konferans katkısı

AN - SCOPUS:85071994178

T3 - 27th Signal Processing and Communications Applications Conference, SIU 2019

BT - 27th Signal Processing and Communications Applications Conference, SIU 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Signal Processing and Communications Applications Conference, SIU 2019

Y2 - 24 April 2019 through 26 April 2019

ER -

Artirilmiş gerçeklik gözlükleri ile nesne tanima

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap