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Title: :  DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE
PaperId: :  22954
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22954
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
POOJA VBANNARI AMMAN INSTITUTE OF TECHNOLOGY
NANDHINI NBANNARI AMMAN INSTITUTE OF TECHNOLOGY
AKSHARA PBANNARI AMMAN INSTITUTE OF TECHNOLOGY
SWATHYPRIYADHARSINI PBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Computer Science and Engineering
YOLO-You Only Look Once, COCO-Common Objects in Context,DNN-Deep Neural Network.
In recent years, the world has witnessed unprecedented challenges brought about by the outbreak of infectious diseases, such as COVID-19, that require rapidand effective responses to ensure public health and safety. Social distancing has emerged as a crucial measure to mitigate the spread of contagious diseases in crowded settings. However, monitoring and enforcing social distancing in crowdedspaces can be a complex and resource-intensive task. This project presents a novel approach to address this challenge by harnessing the power of big data analytics, deep learning, and artificial intelligence (AI). We propose a system for crowd surveillance that leverages advanced computer vision techniques to monitor socialdistancing compliance in real-time. The key components of oursystem include datacollection, pre- processing, deep learning-based object detection, and intelligent decision-making. The data collection process involves the deployment of high-resolution cameras and sensors in public areas and other crowded spaces. These devices continuously capture video and sensor data, creating a massive influx of information. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are used to analyze visual data, identify individuals, and track their movements. Our big data-enabled crowd surveillance system provides real-time insights into social distancing compliance, allowing for rapid intervention when violations occur. By leveraging the power of big data and AI, our system can enhance public health and safety efforts in crowded environments,contributing to the containment of infectious diseases. This project outlines a cutting-edge approach to crowd surveillance for social distancing using big data analytics, deep learning, and artificial intelligence.

Citations

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IJARIIE POOJA V, NANDHINI N, AKSHARA P, and SWATHYPRIYADHARSINI P. "DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 1961-1966
MLA POOJA V, NANDHINI N, AKSHARA P, and SWATHYPRIYADHARSINI P. "DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 1961-1966.
APA POOJA V, NANDHINI N, AKSHARA P, & SWATHYPRIYADHARSINI P. (2024). DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 1961-1966.
Chicago POOJA V, NANDHINI N, AKSHARA P, and SWATHYPRIYADHARSINI P. "DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 1961-1966.
Oxford POOJA V, NANDHINI N, AKSHARA P, and SWATHYPRIYADHARSINI P. 'DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 1961-1966. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DETECTING_SOCIAL_DISTANCING_USING_DEEP_LEARNING_AND_ARTIFICIAL_INTELLIGENCE_ijariie22954.pdf (Accessed : ).
Harvard POOJA V, NANDHINI N, AKSHARA P, and SWATHYPRIYADHARSINI P. (2024) 'DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 1961-1966IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DETECTING_SOCIAL_DISTANCING_USING_DEEP_LEARNING_AND_ARTIFICIAL_INTELLIGENCE_ijariie22954.pdf (Accessed : )
IEEE POOJA V, NANDHINI N, AKSHARA P, and SWATHYPRIYADHARSINI P, "DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 1961-1966, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/DETECTING_SOCIAL_DISTANCING_USING_DEEP_LEARNING_AND_ARTIFICIAL_INTELLIGENCE_ijariie22954.pdf [Accessed : ].
Turabian POOJA V, NANDHINI N, AKSHARA P, and SWATHYPRIYADHARSINI P. "DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver POOJA V, NANDHINI N, AKSHARA P, and SWATHYPRIYADHARSINI P. DETECTING SOCIAL DISTANCING USING DEEP LEARNING AND ARTIFICIAL INTELLIGENCE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 1961-1966. Available from: https://ijariie.com/AdminUploadPdf/DETECTING_SOCIAL_DISTANCING_USING_DEEP_LEARNING_AND_ARTIFICIAL_INTELLIGENCE_ijariie22954.pdf
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