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5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023 ; : 1258-1261, 2023.
Article in English | Scopus | ID: covidwho-2274308

ABSTRACT

Recognizing and remembering various people is the most frequent task, which the human brain performs. With regard to this, the process of attendance becomes one of the hectic tasks, which requires subsequent modernization. The spread of COVID- 19 is also drastically increasing and are pushed to the situation of wearing mask the entire time. This brings in a situation of misidentifying the individuals and are also prone to impersonation in many official gatherings such as exams, meetings, etc. This cannot be decreased by unmasking their face in this pandemic situation just for the purpose of verification as it may lead to increase in COVID risk. Here, this research study implements a contactless face recognition system with a simple and smart database, which can take in any form of data as per the convenience. This system solves the above problem by making the face recognition smart using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) classifier. The main task of the system is to recognize the user's face (live) and automatically mark the time of recognition directly in the Google sheet along with the alphabets of P(Present), A(absent) or L(late) according to the given time range. This system makes effective use of google sheet for easy share ability, accessibility, and error free management. This can be used for number of purposes such as exam centers, schools, colleges, companies, hospitals and various other places in order to verify the people (contact less). © 2023 IEEE.

2.
21st International Conference on Hybrid Intelligent Systems, HIS 2021 and 17th International Conference on Information Assurance and Security, IAS 2021 ; 420 LNNS:88-105, 2022.
Article in English | Scopus | ID: covidwho-1750582

ABSTRACT

COVID-19 caused by novel Corona virus emerges as a pandemic threat to the entire humanity. People who suffer from malnutrition and lower immunity to fight against the virus are affected severely. From the corona statistics, it is reported children below 13 years, elder people and pregnant women are easily affected by Corona virus than other age group and their mortality rate is also higher. With no vaccine available till now, the only treatment option for the entire world is to have nutritious food and maintain better immunity against Corona virus. This issue becomes more severe in tribal regions of Tamilnadu where they have very low access to medical facilities. To create a healthy generation capable of surviving such infectious illness and other illness, balanced healthy nutrition without under-nourishment is very much essential. Developing such healthy individual starts during the time of pregnancy and hence, pregnant women need to be well-nourished, since it directly affects health of the infants. Malnutrition is a common problem to people of all ages. But, focus of the paper is only on pregnant women, married women who are yet to get pregnant and children under five years of age. Nutritional status of other people are not included in this study. In all the five districts, majority of tribal people live in forests with less resources, financial conditions, educational knowledge and exposure to modern methods available for pregnancy and infant development. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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