An Application of Detecting Faces with Mask and without Mask using Deep Learning Model

Ratnesh Kumar Shukla, Arvind Kumar Tiwari

2021

Abstract

The proposed model is stronger as it naturally will identify people with masks and without mask. This approach reduces the deep learning process to a single stage and the mask detector model is added to identify with mask and without mask. What we need to do is to use the learning algorithm to provide us with bounding cases in one forward network pass for both people with masks and without masks. The Keras classifier is based on the MobileNetV2 neural net architecture. This model was tested in real time with pictures and video streams. Although the exactness of the prototype is around 98% and model optimisation is a continuous process by setting the hyper-parameters. We are finding a highly precise solution. Size and computer costs are highly optimized and tailored for object detection tasks on-device such as a cell phone or camera streams.

Paper Citation

in Harvard Style

Shukla R. and Tiwari A. (2021). An Application of Detecting Faces with Mask and without Mask using Deep Learning Model. In Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE, ISBN 978-989-758-544-9, pages 54-60. DOI: 10.5220/0010562500003161

in Bibtex Style

@conference{icacse21,
author={Ratnesh Kumar Shukla and Arvind Kumar Tiwari},
title={An Application of Detecting Faces with Mask and without Mask using Deep Learning Model},
booktitle={Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,},
year={2021},
pages={54-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010562500003161},
isbn={978-989-758-544-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,
TI - An Application of Detecting Faces with Mask and without Mask using Deep Learning Model
SN - 978-989-758-544-9
AU - Shukla R.
AU - Tiwari A.
PY - 2021
SP - 54
EP - 60
DO - 10.5220/0010562500003161