Open Access Open Access  Restricted Access Subscription Access

Detection of Covid-19 Risk Factors in Real Time using Mask Detection and Body Temperature

Niranjan L, Aaliyar Nadeem Ahmed, Aftab Khan, Hassan Abbas, Jawad Usaid Ahmed

Abstract


Due From the starting of this pandemic crises covid-19, they are more than 6 millions of people who has been effected by this covid-19 and still being effected and numbers are rising very rapidly. Detection of this covid-19 disease and healthy precautions are very important in these cases, Especially when there are lot of peoples in a crowd like in some functions or venues where people will be having lots of contacts between each other, to prevent this, we are implementing an automated system for detecting the body temperature and mask detection of a particular person in real time, this can prevent not only the diseases but also the overall economic growths.

Full Text:

PDF

References


“World Health Organization Coronavirus disease (COVID-2019)situation reportswebsite”, available online at https://www.who.int/emergencies/diseases/novelcoronavirus-2019/situation-reports

“Raspberry Pi 4 Model B website”, available online [20.3.2020] at https://www.raspberrypi.org/products/raspberry-pi-4-model-b/

“Datasheet for Melexis MLX90614”, available online [20.3.2020] at https://www.melexis.com/media/files/documents/datasheets/mlx90614- datasheet-m el exi s. pdf

“Datasheet for - VL53L0X”, available online athttps://www.st.eom/resource/en/datasheet/vl5310x.p df

“SEWIO UWB Real-Time Location System (RTLS)”, available online [5.4.2020] at https://www.sewio.net/real-time-location-system- rtls-onuwb/

Deepak, N. R., & Balaji, S. (2015, December). Performance analysis of MIMO-based transmission techniques for image quality in 4G wireless network. In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (pp. 1-5). IEEE.

Deepak, N. R., & Balaji, S. (2015). A Review of Techniques used in EPS and 4G-LTE in Mobility Schemes. International Journal of Computer Applications, 109(9).

Thanuja, N., & Deepak, N. R. (2021, April). A Convenient Machine Learning Model for Cyber Security. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 284-290). IEEE. “OpenCV packages for Python”, available online at https://pypi.org/project/opencv python/

“Kivy - Cross-platform Python Framework for NUI development’available online [10.4.2020] at https://kivy.org

Sagonas, C., Antonakos, E., Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2016). 300 faces in-the-wild challenge: Database and results. Image and vision computing, 47, 3-18..


Refbacks

  • There are currently no refbacks.