• Merugu sushmitha
• M.Shyamsunder

Covid-19 has recently had a cascade effect on industry, travel, tourism, and hospitality, devastating the world economy. This effort, which relies on computer vision and deep learning, aims to have an influence and significantly tackle the real-world problem of safety measures in addition to the expanding curve of human mortality caused by the epidemic around the world. Through the use of OpenCV, Keras/TensorFlow, and Deep Learning, a Face Mask Detection system is being developed in this work. The system's use of the MobileNetV2 architecture makes it simple to integrate into a variety of embedded devices with low processing capability. Face masks will be picked up in both real-time videos and photos.

Machine learning-based mask detection system

"Machine learning-based mask detection system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.f596-f601, January-2022, Available :http://www.jetir.org/papers/JETIR2201586.pdf

"Machine learning-based mask detection system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppf596-f601, January-2022, Available at : http://www.jetir.org/papers/JETIR2201586.pdf