COVID-19 FACE MASK DETECTION

International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 02 | Feb 2022 www.irjet.net

e-ISSN: 2395-0056 p-ISSN: 2395-0072

COVID-19 FACE MASK DETECTION Waydande Nishantkumar Anand1, Prof.Bhor P.A2 1-2Dept.

of Computer Engineering, Jaihind College of Engineering, Pune, Maharashtra, India Dept. of Computer Engineering, Jaihind College of Engineering, Pune, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------3Professor,

Abstract:

MOTIVATION

Coronavirus has spread all around the world now and it has impacted all areas. The medical care arrangement of practically every nation is going through emergency. Many advances had taken to lessen the spread of Coronavirus where wearing a veil is one of them. In this Project, we have proposed a framework which will assist with decreasing the spread of covid19 at Grocery Shop which further can be carried out at Malls, Universities, Smart Urban communities and so forth through CCTV Cameras by recognizing individuals who are not wearing a veil. We trust this framework will assist with lessening the spread of Covid-19 in some content by illuminating to the proprietor of Grocery shop about the speculated individual.

Coronavirus is an overpowering contamination brought about by a recently discovered Corona virus. One of the least demanding method for controlling transmission is by providing basic instruction about the COVID-19 contamination, the ailment it causes and the way it spreads.

The reason for this venture to make individuals mindful that wearing a cover is fundamental for their own and other's wellbeing and one having high temperature ought not meander outside to stop the spread of virus. The proposed project carry out IoT-put together system with respect to COVID-19 monitoring at Grocery Shop has end to make individuals mindful that face covers are fundamental for their own and other's security and one having high temperature ought not wander outside to stop the spread of infection. So, Following the principles is exceptionally essential . For that - Checking whether each one is wearing a Keywords:-CNN, Face Mask, Face Recognition, veil. - Checking Temperature of assemblage of everybody Covid19. who is entering. - Checking everybody is keeping social separation The motivation of this task came from looking a INTRODUCTION large portion of individuals disobeying the decides guidelines that are obligatory to stop the spread of Covid We are managing COVID-19 from most recent 2 years and it can get transmitted through PROBLEM STATEMENT air. In this way, to keep away from the immediate contact at public premises we are working on IOT The impacts of COVID-19 on the worldwide economy Based framework which can distinguish mask and should be visible with the naked eye, as the control of assuming any issue appears, automatically it will individuals in the homes carries with one that keeps on send data of that individual to the proprietor or being experienced, it is applicable to put individuals' particular authorities. The principle center is to wellbeing before any useful action. That is why biosecurity recognize faces, not to distinguish or check it also measures and social separating conventions have been detecting whether or not the individual is wearing implemented to limit the spread of this perilous infection. cover. Since these scenarios become vital to follow As well as the limit in public institutions, businesses and since the Covid19.and still we really want to follow different foundations has been restricted, highlighting the these principles in light of the fact that Covid-19 alleged telecommuting (in specific cases). In this manner, isn't absolutely under control. In future also We organizations have implemented various philosophies, should be prepared for these sort of pandemics. procedures, and methods to safeguard the honesty and Likewise for safeguarding us from Virus we want to health, both while entering and remaining in up close and observe the guidelines. We really want to check personal work meetings. As previously referenced, CNN whether or not the individual wearing a mass. Along have been a significant mechanical device during this these lines, we can handle the transmission of pandemic. Albeit most methodologies have been taken infections or anyviral illnesses which communicates towards the diagnosis of the infection, observing and through air. Today CCTV's are utilized in many anticipation has likewise been covered. public and private regions for reconnaissance exercises we can utilize them to enforce the rules like wearing cover

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International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 02 | Feb 2022 www.irjet.net RELATED WORK

HARDWARE REQUIREMENTS

1. To distinguish veil from video/picture input by

CCTV System And additionally recognizing the temperature of separate individual by non-contactless procedures. Thus, that we wear' t need any person for really looking at temperature or to inspect cover of the individual.

2.

There are numerous temperature weapons accessible concerned specialists to make ap propriate moves when the temperature surpasses a particular breaking point. in this task, we'll connect an IR temperature sensor and send the cautions with the image of the individual assuming the temperature of a specific individual surpasses the set worth.

Parameter

Minimum Requirement

1

Processor

Core I7

2

RAM

3GB

Goals : 1. Manual Monitoring is very difficult for officers to check whether the peoples are wearing a mask or not .So in our technique, we are using web cam to detect peoples faces and to prevent from virus transmissions. Objectives :

4.

To take a gander at right now accessible Face Detection, Mask Detection and Temperature Discovery strategies.

1. Using Live streams /Model, identify the person's Face.

2. We can keep peoples safe from our technique

PROPOSED SYSTEM

APPLICATIONS

The IOT based framework is fundamentally grouped into two sections Face Detection and Mask Detection.

We can see the progression of Mask Detection in fig.

7.1. Initially we will separate picture from webcam and afterward we will apply picture pre processing and and afterward we will stack the facial covering recognition model. so we can get to know that who is wearing and who isn't wearing a mask.

1. To prevent the spreading of corona virus.

2. To Reducing the number of workers to checking of covid masks in large public areas.

AREA OF PROJECT To safeguard ourselves from the COVID-19 Pandemic, for all intents and purposes everyoneputs on a facial covering. In most open occasions, like shopping centers, theaters, and parks,it is turning out to be progressively essential to check whether individuals in the group wear facemasks. The advancement of an IOT answer for identify whether a person iswearing a facial covering and award them access could be incredibly useful tosociety. In this venture, a basic Face Mask recognition machine is assembled usingConvolutional Neural Networks, a Deep Learning technique (CNN). This CNNModel is worked for ongoing applications. This rendition can likewise be utilized toextend an undeniable programming application with the goal that anybody can test it out beforesubmitting it to the overall population. This rendition accomplishes a degree of accuracyof north of 96%. This can likewise be utilized related to other methodsto further develop exactness levels considerably more

SOFTWARE REQUIREMENTS Sr. No.

PARAMETER

MINIMUM REQUIREMENT

1

OPERATING SYSTEM

Windows 7/8

2

CODING LANGUAGE

Python

3

IDE

VsCode

4

DATABASE

SQL

5

WEBSERVER

Anaconda

|

SR. No

GOALS AND OJECTIVES

3.

To examine and sum up the course of Face Detection, Mask Detection and Temperature Detection

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International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 02 | Feb 2022 www.irjet.net

e-ISSN: 2395-0056 p-ISSN: 2395-0072

[9]Talha Ikram, Abdullah Saeed, NoorUl Ayn, Muhammad Ali Tahir, RafiaMumtaz”A review of the prevalent ICT As indicated by the accomplished outcomes, techniques used for COVID-19 SOP violation detection, 2018 the proposed arrangement can be utilized for the purpose for certain impediments . Like number of [10]J.L.Amritha Varshini, J.L.Amrita Sree, Aathira Dineshan, handled edges or measurements each second. In T Anjali, O.D. Jayakumar Abhilash Bharadwaj”Face mask future, it is wanted to explore different avenues detection and recog-nition using an IoT enabled PDMS-Ag eregarding different deep learning and PC vision skin sensor that works incontact and non-contact modes” structures for object identification on Raspberry Pi in 2019 4th International Conference on Computing , 2019. request to accomplish higher framerate. At last, a definitive objective is to incorporate the system given in this show our structure for proficient.

CONCLUSION

REFERENCES

[1]J. Barabas, R. Zalman and M. Kochlan, ”Automated evaluation of COVID19 risk factors coupled with realtime, indoor, personal localization data for potential disease identification, prevention and smart quarantining,” 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)

[2]R. Moorthy H., V. Upadhya, V. V. Holla, S. S. Shetty and V. Tantry, ”CNN based Smart Surveillance System: A Smart IoT Application Post Covid-19 Era,” 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)

[3]K. Zhu, Z. Du, W. Li, D. Huang, Y. Wang and L. Chen,

”Discriminative Attention-based Convolutional Neural Network for 3D Facial Expression Recognition,”2018

[4]M. M. Rahman, M. M. H. Manik, M. M. Islam, S.Mahmud

and J. -H. Kim, ”An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network,” 2020 IEEE International IOT, Electronics and Mechatronics Conference

[5]T. Meenpal, A. Balakrishnan and A. Verma, ”Facial Mask Detection using Semantic Segmentation,” 2019 4th International Conference on Computing, Communications and Security (ICCCS), Rome, Italy, 2019

[6]J.L.Amritha Varshini, J.L.Amrita Sree, Aathira Dineshan, T

Anjali, O.D. Jayakumar, Abhilash Bharadwaj,”Face mask detection and recog-nition using an IoT enabled PDMSAg e-skin sensor that works incontact and non-contact modes”2019

[7]Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian”Robust Face MaskDetection using Deep Learning on IoT Devices”2018 International Conference on Design Innovations for 3Cs Compute Communicate Control [8]Davang Sikand, Jaya Krishna Raguru, Vijay Kumar Sharma”Alert Sys-tem for Face Mask Detection using CNN”2015

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