Social Awareness and Safety Assistance of COVID-19 based on DLN face mask detection and AR Distancing

(1) Andi Tenriawaru Mail (Department of Mathematics, Faculty of Mathematics and Natural Science, Halu Oleo University, Kendari 93231,Indonesia, Indonesia)
(2) * Ahmad Hoirul Basori Mail (Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Saudi Arabia)
(3) Andi Besse Firdausiah Mansur Mail (Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Saudi Arabia)
(4) Qusai Al-Qurashi Mail (Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Saudi Arabia)
(5) Abdullah Al-Muhaimeed Mail (Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Saudi Arabia)
(6) Majid Al-Hazmi Mail (Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Saudi Arabia)
*corresponding author

Abstract


The outbreak of coronavirus disease (COVID-19) has forced major countries to apply strict policy toward society. People must wear a facemask and always keep their distance from each other's to avoid virus contamination. Government employ officers to monitor citizen and warn them if not wearing a face mask. The warning message also spread through SMS and social media to ensure people about safety and awareness. This paper aims to provide face mask detection using the Deep Learning Network(DLN) and warning system through video stream input from CCTV or images then analyzed. If people not wearing a mask are detected, they will alert them through the speaker and remind them about a penalty. AR distancing very useful to give position toward violator location based on the detected person in a certain area. The system is designed to work intelligently and automatically without human intervention. With the accuracy of 99% recognition, it's expected that the system can help the government to increase people awareness toward the safety of themselves and people around them.


   

DOI

https://doi.org/10.29099/ijair.v5i2.230
      

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References


WHO. (2021, 1 March 2021). WHO Coronavirus (COVID-19) Dashboard, https://covid19.who.int/, Last Accessed March 2021. Available: https://covid19.who.int/

E. Dong, H. Du, and L. Gardner, "An interactive web-based dashboard to track COVID-19 in real time," The Lancet Infectious Diseases, vol. 20, no. 5, pp. 533-534, 2020.

S. A.-M. o. Health. (2021). Covid 19 Dashboard, Ministry of Health, Covid19 Command and Control Center CCC, The National Health Emergency Operation Center NHEOC. https://covid19.moh.gov.sa/, Last Accessed: March 2021.

W. Advice. (2021, March). Coronavirus disease (COVID-19) advice for the public, https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public?gclid=EAIaIQobChMIib-i3L2q7wIVk6SyCh3Tyw2GEAAYAiAAEgKbPvD_BwE, Last Accessed: March 2021.

T. Singhal, "A Review of Coronavirus Disease-2019 (COVID-19)," (in eng), Indian journal of pediatrics, vol. 87, no. 4, pp. 281-286, 2020.

J. Bullock, A. Luccioni, K. Hoffmann Pham, C. Sin Nga Lam, and M. J. a. e.-p. Luengo-Oroz, "Mapping the Landscape of Artificial Intelligence Applications against COVID-19," p. arXiv:2003.11336Accessed on: March 01, 2020Available: https://ui.adsabs.harvard.edu/abs/2020arXiv200311336B

P. Kumar et al., "Temporary reduction in fine particulate matter due to 'anthropogenic emissions switch-off' during COVID-19 lockdown in Indian cities," (in eng), Sustain Cities Soc, vol. 62, p. 102382, Nov 2020.

A. M. Rahmani and S. Y. H. Mirmahaleh, "Coronavirus disease (COVID-19) prevention and treatment methods and effective parameters: A systematic literature review," (in eng), Sustainable cities and society, vol. 64, pp. 102568-102568, 2021.

C. M. Peak et al., "Individual quarantine versus active monitoring of contacts for the mitigation of COVID-19: a modelling study," (in eng), Lancet Infect Dis, vol. 20, no. 9, pp. 1025-1033, Sep 2020.

T. Abel and D. McQueen, "The COVID-19 pandemic calls for spatial distancing and social closeness: not for social distancing!," (in eng), Int J Public Health, vol. 65, no. 3, p. 231, Apr 2020.

T. L. D. Huynh, "Does culture matter social distancing under the COVID-19 pandemic?," (in eng), Saf Sci, vol. 130, p. 104872, Oct 2020.

S. Tuli, S. Tuli, R. Tuli, and S. S. Gill, "Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing," Internet of Things, vol. 11, p. 100222, 2020/09/01/ 2020.

S. L. Schneider and M. L. Council, "Distance learning in the era of COVID-19," (in eng), Arch Dermatol Res, pp. 1-2, May 8 2020.

H. Durmuş, M. E. Gökler, and S. Metintaş, "The Effectiveness of Community-based Social Distancing for Mitigating the Spread of the COVID-19 Pandemic in Turkey," J Prev Med Public Health, vol. 53, no. 6, pp. 397-404, 11 2020.

J. Jakhar and P. Kharya, "Social distancing and promoting psychological well being during COVID-19 pandemic," International Journal of Social Psychiatry, p. 0020764020968132, 2020.

I. Kuitunen, M. Artama, L. Mäkelä, K. Backman, T. Heiskanen-Kosma, and M. Renko, "Effect of Social Distancing Due to the COVID-19 Pandemic on the Incidence of Viral Respiratory Tract Infections in Children in Finland During Early 2020," vol. 39, no. 12, pp. e423-e427, 2020.

N. B. Masters et al., "Social distancing in response to the novel coronavirus (COVID-19) in the United States," PLOS ONE, vol. 15, no. 9, p. e0239025, 2020.

M. Qian and J. Jiang, "COVID-19 and social distancing," (in eng), Zeitschrift fur Gesundheitswissenschaften = Journal of public health, pp. 1-3, 2020.

P. Kumar and L. Morawska, "Could fighting airborne transmission be the next line of defence against COVID-19 spread?," City and Environment Interactions, vol. 4, p. 100033, 2019/12/01/ 2019.

W.-j. Guan et al., "Clinical Characteristics of Coronavirus Disease 2019 in China," vol. 382, no. 18, pp. 1708-1720, 2020.

S. Katal, S. K. Johnston, J. H. Johnston, and A. Gholamrezanezhad, "Imaging Findings of SARS-CoV-2 Infection in Pediatrics: A Systematic Review of Coronavirus Disease 2019 (COVID-19) in 850 Patients," (in eng), Acad Radiol, vol. 27, no. 11, pp. 1608-1621, Nov 2020.

B. Udugama et al., "Diagnosing COVID-19: The Disease and Tools for Detection," (in eng), ACS Nano, vol. 14, no. 4, pp. 3822-3835, Apr 28 2020.

P. Nagrath, R. Jain, A. Madan, R. Arora, P. Kataria, and J. Hemanth, "SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2," (in eng), Sustainable cities and society, vol. 66, pp. 102692-102692, 2021.

S. Yang, P. Luo, C. C. Loy, and X. Tang, "WIDER FACE: A Face Detection Benchmark," in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 5525-5533.

K. Zhang, Z. Zhang, Z. Li, and Y. Qiao, "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks," IEEE Signal Processing Letters, vol. 23, no. 10, pp. 1499-1503, 2016.

M. M. Abrar, R. Islam, and M. A. H. Shanto, "An Autonomous Delivery Robot to Prevent the Spread of Coronavirus in Product Delivery System," in 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2020, pp. 0461-0466.

K. H. S. Allehaibi, A. H. Basori, and N. N. Albaqami, "B-COV:Bio-inspired Virtual Interaction for 3D Articulated Robotic Arm for Post-stroke Rehabilitation during Pandemic of COVID-19," International Journal of Computer Science and Network Security, vol. 21, no. 2, pp. 110-119, 2021.

D. D. Auria and F. Persia, "Robots against the Coronavirus: the need for a new generation of robots to help global society," in 2021 IEEE 15th International Conference on Semantic Computing (ICSC), 2021, pp. 421-424.

A. H. Basori, "Emotion Walking for Humanoid Avatars Using Brain Signals," International Journal of Advanced Robotic Systems, vol. 10, no. 1, p. 29, 2013/01/01 2013.

C. L. Chung, D. B. Chen, and H. Samani, "Action Detection and Anomaly Analysis Visual System using Deep Learning for Robots in Pandemic Situation," in 2020 International Automatic Control Conference (CACS), 2020, pp. 1-6.

V. kamalasanan and M. Sester, "Living with Rules: An AR Approach," in 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2020, pp. 213-216.

D. Zhang, W. Wei, W. Zheng, and Z. Guo, "The Navigation Design of Mobile Robot in the Man-Machine Environment for Service Assist," in 2020 4th International Conference on Automation, Control and Robots (ICACR), 2020, pp. 37-43.

N. N. Albaqami, K. H. S. Allehaibi, and A. H. Basori, "Dynamic Heterogeneous Crowd Behaviour Detection Framework for Evacuation Plan during Emergency Situation," International Journal of Computer Science and Network Security, vol. 19, no. 12, pp. 61-68, 2019.

H. M. A. AlJahdali and A. H. Basori, "Emotional Contagion Driven of Parent-Child’s Agents in Crowd during Panic Situation," International Journal of Computer Science and Network Security, vol. 19, no. 1, pp. 261-266, 2019.

A. H. Basori, "NAOCared: Intelligent and Communally Humanoid assistive robot for elderly care support " International Journal of Computer Science and Network Security, vol. 20, no. 4, pp. 113-120, 2020.




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