Industrial Research World

Since the spread of the Covid-19 virus has become an emerging health problem all around the world, to slow down its devastating effects on societies and economies, World Health Organization (WHO) has imposed many guidelines. These guidelines include wearing face masks, maintaining social distancing, adopting of virtual work culture, and many more. Among all these guidelines, face mask detection is one of the innovative technology which can help in identifying the number of people wearing a face mask, regulating proper social distancing, and preventing a huge mass from the severity of the infection. The facemask detection technology is operated with the use of different programming languages and software such as Python,  Deep-Learning , Tensor Flow, Keras, OpenCV, and many more. Before diving in deep about facemask detection, let’s start with some fundamentals. How does a Face Mask Detector Function? Generally, face mask technology is proposed to function with the help of computer visio

  The  global face mask detection market  is estimated to be valued at   $3,040.9 million by 2028 , surging from   $1,191.6 million in 2020 , at a noteworthy   CAGR of 10.9% . Impact Analysis of COVID-19 on the Face Mask Detection Market The COVID-19 epidemic has caused damage to the worldwide industrial sector and material and product supply chains. International borders closed, economies decimated, and billions of people were quarantined or secluded in their own homes. The World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) advised social separation and use of sanitizers & face mask as important strategies for containment till vaccination reaches most of the population. Owing to such pandemic situation, the demand for face mask detection increased in last couple of years and is anticipated to grow over the forecast period. Increasing COVID-19 Pandemic Demand for Face Mask Detection. Check how Face Mask Detection increases in last two couple of