International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed & Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

Abstract: The data attend from various sources like World Health Organization, the Wikipedia, Government Health Ministries, and other sources indicates that COVID-19 has sick more than 127 million people worldwide and has killed more than 2 million people. The two basic guidelines that required to be follow in public places to prevent the spread of the corona virus is by wearing face masks and following safe social distancing. To create a safe environment, we created a dynamic Computer Vision based automated system focused on the real-time face monitoring of people to determine both face masks and body temperature in public places by using Raspberry Pi 4 Model B to determine protocol following or not, through an integrated Pi camera module and to monitor body temperature with the help of MLX90614 sensor. For security purpose, system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check as per WHO guidelines. This system will help the society by saving time and also helps to reduce the spread of COVID-19.

Keywords: Deep Learning, Open CV, Keras, Python, Tensor Flow, Computer Vision, Raspberry Pi, COVID-19.


PDF | DOI: 10.17148/IJIREEICE.2022.10403

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