Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: June 2022

Volume 7 | Issue 6

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Face Mask Detection Using CNN Techniques and Machine Learning
Authors Name: Miss. Date Mayuri S , Miss.Thoke Sarika K , Miss.Chatur Snehal A , Miss. Kothmire Prathama R , Prof. Pawar U.B
Unique Id: IJSDR2205029
Published In: Volume 7 Issue 5, May-2022
Abstract: After the breakout of the worldwide pandemic COVID-19, there arises a severe need of protection mechanisms, face mask being the primary one. The basic aim of the project is to detect the presence of a face mask on human faces on live streaming video as well as on images. We have used deep learning to develop our face detector model. The architecture used for the object detection purpose is Single Detector (SSD) because of its good performance accuracy and high speed. Alongside this, we have used Shot basic concepts of transfer learning in neural networks to finally output presence or absence of a face mask in an image or a video stream. Experimental results show that our model performs well on the test data with 100 percent and 99 percent precision and recall, respectively. We are making a savvy framework which will identify the whether the specific user has wear the mask or not and furthermore observing the social distancing of two user. Our framework will be python and AI based which will be the safe and quick for delivering the yields. At the point when the client is recognize without mask or dodging social distancing framework offers caution to control room, Control room in control make a declaration of wearing mask or follow social distancing , in the event that still user maintain a strategic distance from it , at that point the specific user will face police.
Keywords: centralized system, Data, Transparency, access control mask Detection, Social
Cite Article: "Face Mask Detection Using CNN Techniques and Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 5, page no.150 - 156, May-2022, Available :http://www.ijsdr.org/papers/IJSDR2205029.pdf
Downloads: 00096793
Publication Details: Published Paper ID: IJSDR2205029
Registration ID:200378
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 150 - 156
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview

Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media

Indexing Partner