Project Info

Project Id:14785

Face Mask Detection By Deep Learning had seen significant progress in the domains of Image processing and Computer vision, since the rise of the Covid-19 pandemic. Many face detection models have been created using several algorithms and techniques. Face mask system which demands a person to wear face masks, keep social distancing, and use hand sanitizers to wash their hands. While other problems of social distancing and sanitization have not been addressed until now. the issue of face mask detection has not yet been adequately addressed. we employ Haar cascade detector to detect the face region in the input images, and then put the region of interest (ROI). . This classifier performs feature extraction by Haar Wavelet technique with 24×24 window size, uses AdaBoost to remove redundant features, and applies cascade classifiers to detect objects. The detected face regions by Haar cascade classifier is then put onto deep learning techniques to detect the regions of face masks.

• Model detects Mask with images/ live video
• Provides Highest Accuracy of 98%
• Web Based User Interface