• A S Salma Banu

After the prisonbreak of the worldwide COVID-19 pandemic, there arises a severe want for protection mechanisms, the mask being the first one. The project's essential aim is to see the presence of a mask on human faces on live streaming video still as in pictures. We've got used deep learning to develop our face detector model. The design used for the item detection purpose is Single Shot Detector (SSD) due to its smart performance accuracy and high speed. Aboard this, we've used basic ideas of transfer learning in neural networks to finally output the presence or absence of a mask in a picture or a video stream. Experimental results show that our model performs well on the check knowledge with 100% and ninety-nine exactitude and recall, severally.

Machine learning, Deep learning, computer vision, face mask, OpenCV, TensorFlow, Keras, CNN

"IN-SITU FACE MASK DETECTION USING DEEP LEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.343-346, June-2019, Available :http://www.jetir.org/papers/JETIR1908E48.pdf

"IN-SITU FACE MASK DETECTION USING DEEP LEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp343-346, June-2019, Available at : http://www.jetir.org/papers/JETIR1908E48.pdf