# Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19

arXiv: https://arxiv.org/abs/2401.15675 · HTML: https://mlsanity.com/paper/2401.15675/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 40 references that are in the map.
- First posted on arXiv 28 Jan 2024.

## Builds on (most cited first, 9 of 9)

- [Object Detection with Deep Learning: A Review](https://mlsanity.com/paper/1807.05511/) (2018)
- [Masked Face Recognition Dataset and Application](https://mlsanity.com/paper/2003.09093/) (2020)
- [PyramidBox: A Context-assisted Single Shot Face Detector](https://mlsanity.com/paper/1803.07737/) (2018)
- [MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19](https://mlsanity.com/paper/2008.08016/) (2020)
- [Face Mask Detection using Transfer Learning of InceptionV3](https://mlsanity.com/paper/2009.08369/) (2020)
- [Face Attention Network: An Effective Face Detector for the Occluded Faces](https://mlsanity.com/paper/1711.07246/) (2017)
- [Multi-view Face Detection Using Deep Convolutional Neural Networks](https://mlsanity.com/paper/1502.02766/) (2015)
- [Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs](https://mlsanity.com/paper/2006.10147/) (2020)
- [Using Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World](https://mlsanity.com/paper/2005.05287/) (2020)

## Built on by (most cited first, 11 of 11)

- [Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance](https://mlsanity.com/paper/2405.18687/) (2024)
- [The Emotional Impact of Game Duration: A Framework for Understanding Player Emotions in Extended Gameplay Sessions](https://mlsanity.com/paper/2404.00526/) (2024)
- [A Novel Audio Representation for Music Genre Identification in MIR](https://mlsanity.com/paper/2404.01058/) (2024)
- [Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets](https://mlsanity.com/paper/2404.07225/) (2024)
- [Efficient Market Dynamics: Unraveling Informational Efficiency in UK Horse Racing Betting Markets Through Betfair's Time Series Analysis](https://mlsanity.com/paper/2402.02623/) (2024)
- [The Evolution of Football Betting- A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation](https://mlsanity.com/paper/2403.16282/) (2024)
- [Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization](https://mlsanity.com/paper/2405.17413/) (2024)
- [Analyzing Currency Fluctuations: A Comparative Study of GARCH, EWMA, and IV Models for GBP/USD and EUR/GBP Pairs](https://mlsanity.com/paper/2402.07435/) (2024)
- [Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting](https://mlsanity.com/paper/2403.00796/) (2024)
- [Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices](https://mlsanity.com/paper/2404.02177/) (2024)
- [Optimizing Photometric Light Curve Analysis: Evaluating Scipy's Minimize Function for Eclipse Mapping of Cataclysmic Variables](https://mlsanity.com/paper/2406.00071/) (2024)

## Abstract (arXiv)

A health crisis is raging all over the world with the rapid transmission of the novel-coronavirus disease (Covid-19). Out of the guidelines issued by the World Health Organisation (WHO) to protect us against Covid-19, wearing a facemask is the most effective. Many countries have necessitated the wearing of face masks, but monitoring a large number of people to ensure that they are wearing masks in a crowded place is a challenging task in itself. The novel-coronavirus disease (Covid-19) has already affected our day-to-day life as well as world trade movements. By the end of April 2021, the world has recorded 144,358,956 confirmed cases of novel-coronavirus disease (Covid-19) including 3,066,113 deaths according to the world health organization (WHO). These increasing numbers motivate automated techniques for the detection of a facemask in real-time scenarios for the prevention of Covid-19. We propose a technique using deep learning that works for single and multiple people in a frame recorded via webcam in still or in motion. We have also experimented with our approach in night light. The accuracy of our model is good compared to the other approaches in the literature; ranging from 74% for multiple people in a nightlight to 99% for a single person in daylight.