Planned intervention: On Wednesday June 26th 05:30 UTC Zenodo will be unavailable for 10-20 minutes to perform a storage cluster upgrade.
Published July 30, 2021 | Version v1
Journal article Open

Facemask Detector in Surveillance for COVID-19

  • 1. Studying B.Tech (4th year), Department of Electronics and Communication Engineering (Spec in IOT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India.
  • 2. Studying B.Tech (4TH year), Department of Electronics and Communication Engineering (Spec in IOT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India.
  • 1. Publisher

Description

Due to this unexpected pandemic we are going on these days, wearing a face mask became mandatory to save ourselves as well as others from the virus. But it is difficult to monitor every citizen whether he is wearing a mask or not. But it is very important. So, to overcome this problem we came up with a solution to monitor every citizen using a deep learning concept. So, we are developing a face mask detector with opencv/keras. This helps us to easily identify the persons wearing masks or not which helps us in taking safety measures according to it. We tried using different types of platforms such as mobilev2net and resnet architecture but the accuracy of resnet architecture is more compared to the other architecture. 

Files

I93560710921.pdf

Files (272.4 kB)

Name Size Download all
md5:848392227c45b0f06e57dcefede2d26a
272.4 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 2278-3075 (ISSN)

Subjects

ISSN
2278-3075
Retrieval Number
100.1/ijitee.I93560710921