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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
SOCIAL DISTANCING AND FACE MASK DETECTION BY USING DEEP LEARNING
Authors
Sushama Ghodke, Akshay Rajurkar, Harshal Wandrekar, Ritesh Agwan, Dr.Srinivas Ambala
Keywords
Public Safety, social distancing, Deep learning, Mask detection using AI,Convolutional Neural Networks (CNNs),OpenCV, COVID-19.
Abstract
COVID-19, also known as the Corona Virus, caused drastic changes in culture, eventually leading to a pandemic. We suggest a deep learning-based method for detecting facial masks in videos in this paper. Using YOLO object detection on video recordings and photographs in real time, this paper focuses on a solution to help implement proper social distancing and wearing masks in public. The paper describes a tool for detecting social distancing using deep learning to assess the gap between people in order to reduce the effect of the coronavirus pandemic. The detection tool was created to warn people to keep a safe distance between them.
The open-source object detection pre-trained model based on the YOLOv3 algorithm was used to detect pedestrians using the video frame from the webcam as input.
IJCRT's Publication Details
Unique Identification Number - IJCRTI020032
Paper ID - 211584
Page Number(s) - 156-159
Pubished in - Volume 9 | Issue 11 | November 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Sushama Ghodke, Akshay Rajurkar, Harshal Wandrekar, Ritesh Agwan, Dr.Srinivas Ambala, "SOCIAL DISTANCING AND FACE MASK DETECTION BY USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.156-159, November 2021, Available at :http://www.ijcrt.org/papers/IJCRTI020032.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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