Face Mask Detection in Crowd Areas using Deep Learning for Avoid Spreading of Covid-19 Corona Virus
Nalacheruve Bhargavi1, G. Vishnu Murthy2

1Bhargavi Nalacheruve*, M.Tech, Department of Computer Science and Engineering, Anurag CVSR University, Hyderabad, India.
2Dr. G. Vishnu Murthy, PhD, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, India.
Manuscript received on February 16, 2022. | Revised Manuscript received on February 27, 2022. | Manuscript published on March 30, 2022. | PP: 28-32 | Volume-11, Issue-4, March 2022 | Retrieval Number: 100.1/ijitee.C97900311422 | DOI: 10.35940/ijitee.C9790.0311422
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Object discovery, focused on robotically noting device factors on snap shots or movies, expands the photo kind. In the previous couple of years, smart traveler manipulate has been appreciably utilized in small matters detection methods made use of in website vacationer manage, shrewd radar to manipulate structures, armed forces matters detection tools in the Navy. Great for beneficial treatments made use of to discover. Positioning of scientific tools made use of within the navy, medical navigating, operations, and so forth. COVID-19, a special corona virus dispersing in overdue 2019, stands for a opportunity for public fitness. Numerous international locations demand that everybody wear a public masks to keep away from the unfold of the Corona virus. To prevent the unfold of the Corona virus, an item discovery method just like a unmarried shot detector focuses on specific in addition to real-time popularity of face mask in supermarkets. Contributions are made with 3 parts: 1) to attract out the functions used by the lightweight spine network, that’s primarily based upon SSD and additionally exquisite separable convection, which enhances discovery charge and Satisfies real-time detection wishes. 2) Suggest Feature Improvement Module (FEM) to strengthen the CNN fashions’ deeper capabilities to beautify tiny things feature examples. 3) Develop a COVID-19-Mask, a big facts set to decide if customers are sporting mask, by gathering snap shots in 2 supermarkets. The corporation goals to reap high detection accuracy and also real-time efficiency of the proposed components. 
Keywords: Mask detection, COVID-19, Convolutional Neural Networks, Single Shot Detector.
Scope of the Article: Deep Learning