Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Deep Learning - Based COVID-19 Safety Monitoring
PaperId: :  14664
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14664
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Steffy FrancisIES College of Engineering Chittilappilly
Jensy VIES College of Engineering Chittilappilly

Abstract

Computer Engineering
Covid-19, Face mask, Social distancing, Computer vision, Yolo v3,
As of June 2, 2021, the fatal coronavirus illness 2019 (COVID-19) has spread to over 180 nations, resulting in 28,175,044 confirmed cases and 331,895 deaths in India alone. The population's vulnerability is heightened by the lack of effective treatment drugs and immunity to COVID-19. The population's vulnerability is heightened by the lack of effective treatment drugs and immunity to COVID-19. Because there are no effective vaccines or medications available, the only viable way to combat the pandemic is to follow covid guidelines, such as social distancing and wearing masks etc. In order to automate the task of monitoring social-distancing, mask, and age of a person using surveillance footage, this study provides a deep learning-based system. The suggested framework employs the YOLO v3 object detection model to distinguish persons from the background using bounding boxes and assigned IDs.It was discovered that it had improved accuracy for all of the input videos that were evaluated.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Steffy Francis, and Jensy V. "Deep Learning - Based COVID-19 Safety Monitoring" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 2702-2708
MLA Steffy Francis, and Jensy V. "Deep Learning - Based COVID-19 Safety Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 2702-2708.
APA Steffy Francis, & Jensy V. (2021). Deep Learning - Based COVID-19 Safety Monitoring. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 2702-2708.
Chicago Steffy Francis, and Jensy V. "Deep Learning - Based COVID-19 Safety Monitoring." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 2702-2708.
Oxford Steffy Francis, and Jensy V. 'Deep Learning - Based COVID-19 Safety Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 2702-2708. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_Learning___Based_COVID_19_Safety_Monitoring_ijariie14664.pdf (Accessed : ).
Harvard Steffy Francis, and Jensy V. (2021) 'Deep Learning - Based COVID-19 Safety Monitoring', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 2702-2708IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_Learning___Based_COVID_19_Safety_Monitoring_ijariie14664.pdf (Accessed : )
IEEE Steffy Francis, and Jensy V, "Deep Learning - Based COVID-19 Safety Monitoring," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 2702-2708, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_Learning___Based_COVID_19_Safety_Monitoring_ijariie14664.pdf [Accessed : ].
Turabian Steffy Francis, and Jensy V. "Deep Learning - Based COVID-19 Safety Monitoring." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 ().
Vancouver Steffy Francis, and Jensy V. Deep Learning - Based COVID-19 Safety Monitoring. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(3) : 2702-2708. Available from: https://ijariie.com/AdminUploadPdf/Deep_Learning___Based_COVID_19_Safety_Monitoring_ijariie14664.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Comparative Analysis of DevOps CI/Cd Tools: Optimizing Operational Efficiency of Software DeploymentComputer EngineeringSandeep Naduvinmani Download
An Overview of Cybersecurity in Connected and Autonomous Vehicles (CAVs) Computer EngineeringVaishali Kailas Shinde Download
"Lossless Data Hiding in the NTRU Cryptosystem Using Polynomial Encoding and Modulation"Computer EngineeringSanjana Sanjay Udare Download
"Real-Time Forest Fire Detection Using FireNet-CNN and Explainable AI Methods"Computer EngineeringPriyanka Navanath Bale Download
THE EVOLUTION OF JAVASCRIPT FRAMEWORKS: FROM JQUERY TO MODERN REACT/ANGULARCSEG.TAMILSELVAN Download
(BBMS) - BLOOD MANAGEMENT SYSTEMEngineeringInamullah Download
Deep Convolutional Neural Network-Based Recognition of Air-WritingComputer Engineering Dhongde.V.S Download
Medical Assistance Chatbot using Artificial Intelligence and Machine LearningComputer Engineering Shaikh Akhil Shadul Pasha Download
AGRICARD: ONE PLATFORM FOR ALL AGRICUTURAL NEEDSComputer Engineering Patil Kalpesh Prashant Download
CHANGE DETECTION APPROACH FOR DETECTING DEFORESTATIONComputer EngineeringAbhishek Kailas Tekale Download
Transforming Rural Administration Through Digital Innovation: The E-Gram Panchayat ApproachComputer EngineeringMiss. Mali Mansi Kishor Download
AI-Augmented Systems for Medication AdherenceComputer scienceSushritha Harthi H.Y Download
AI-Based Analytics for Chronic Obstructive Pulmonary DiseaseComputer scienceAnusha B.C Download
Dynamic AI Models for Real-Time ICU MonitoringComputer scienceMouna Shree Gowda Download
Predictive AI Models for Emergency Room TriageComputer scienceAkshatha H.U Download
12