Comparative analysis of mask detection models and mobile device deployment based on different automated machine learning platforms

Zhepei Chen; Zichao He

doi:10.1117/12.2640933

13 October 2022 Comparative analysis of mask detection models and mobile device deployment based on different automated machine learning platforms

Zhepei Chen, Zichao He

Author Affiliations +

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 1228728 (2022) https://doi.org/10.1117/12.2640933
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

In the current situation of a severe epidemic, the feasibility of model training on the automated machine learning platform and deployment on mobile terminal for mask detection is feasible since it may provide higher accuracy. In this study, we optimized the original dataset, adjusted the quantity proportion of various types, screened the image quality to alleviate the effect of the overfitting. The dataset is made into an open source that supports different formats and has been uploaded to Kaggle. Then, the trained models based on Create ML and EasyDL platforms are deployed in the mobile terminal, the accuracy of each model and detection effect on mobile terminals were obtained, respectively. Lastly, the advantages and disadvantages of the models and applications of the two platforms (Create ML and EasyDL) are compared.

Citation Download Citation

Zhepei Chen and Zichao He "Comparative analysis of mask detection models and mobile device deployment based on different automated machine learning platforms", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 1228728 (13 October 2022); https://doi.org/10.1117/12.2640933

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available