Social Distance and Face Mask Wearing Detection |
Author(s): |
| P. Peniel John Whistely , MVJ College of Engineering; S. Vishnu Vardhan Reddy, MVJ College of Engineering; Prashant, MVJ College of Engineering; R. Pavan Akash, MVJ College of Engineering |
Keywords: |
| Computer Vision, Social Distancing, Face Mask Detection, Neural Network, COVID-19 |
Abstract |
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Facemask detection is an intriguing issue in the field of Image processing and Computer Vision. The goal of this project is to create a model that can detect all faces in the picture, regardless of their alignment. This project's categorization is mostly based on Machine Learning Models. The dataset is used to train the model, which comprises examples of pictures with and without facemask. The reference articles we're referring to take a long and complicated approach to latency models, which is one of our goals. We create a model that detects faces. |
Other Details |
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Paper ID: IJSRDV9I50283 Published in: Volume : 9, Issue : 5 Publication Date: 01/08/2021 Page(s): 307-308 |
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