Review Paper on Face Mask Detection with Body Temperature Monitoring Using IoT

Abstract

The huge family of viruses known as coronaviruses, which are common, contagious, and hazardous to all humans, have become more prevalent in recent years. It spreads from one person to another by exhaling the contagious breath, which then deposits virus droplets on various surfaces. These droplets are then breathed by additional persons, who eventually become infected. As a result, it is essential that we protect both ourselves and our loved ones from this situation. We may practice safety measures like keeping a safe distance from others, washing our hands every two hours, applying hand sanitizer and most importantly wearing a mask. Therefore, as a precaution, the World Health Organization (WHO) suggested wearing masks in crowded locations. In some places, infections have spread quickly due to improper facial mask usage. We required a dependable solution for mask monitoring to overcome this problem. Face mask detection software based on AI and image processing techniques can help government organizations that are working to make wearing a face mask required. For face detection, helmet detection, and mask detection, the approaches mentioned in the article utilize Machine learning, Deep learning, and many other approaches. It will be simple to distinguish between persons having masks and those who are not having masks using all of these ways. The effectiveness of mask detectors must be improved immediately.