Real-Time Face Mask Detection System Using Computer Vision and Machine Learning
Abstract
The COVID-19 pandemic has accelerated the demand for automated public health monitoring systems, with real-time face mask detection emerging as a critical tool for enforcing mask mandates and reducing disease transmission in public spaces. This paper presents a comprehensive review and practical blueprint for developing a real-time face mask detection system using computer vision and machine learning. We discuss the underlying technologies, system architecture, implementation details, performance evaluation, deployment challenges, and future directions, drawing on recent research and real-world deployments.
How to Cite This Article
Ingrid Lammers, Hiroshi Takashi (2025). Real-Time Face Mask Detection System Using Computer Vision and Machine Learning . International Journal of Engineering and Computational Applications (IJECA), 1(2), 17-20.