Face Mask Detection Alert System

Team

Aiesha Parker, Gona Woche, Henry Huynh

Categories

Network Support

Overview

In the wake of the COVID-19 pandemic, small businesses are hit hard the most as they endure the never-ending waves of repeated lockdowns. As vaccines continue to be rolled out, wearing masks are more important than ever to ensure the safety of individuals. Advancements in AI and Deep Learning have proven their effectiveness in recognition and classification through image processing. This project uses deep learning techniques to distinguish if the person is wearing a face mask or not using a pre-trained AI model through TensorFlow, Haar Cascades and other Python libraries. Footage is recorded via webcam or surveillance camera and processed though the Python program in real time. Through protocols such as SMTP and MIME, an alert is logged and sent via email to the administrator/authorities with an image attachment of the person’s face who violated mask guidelines if the conditions are met for someone not wearing a mask.

Face Mask Detection Alert System Video

Real-time face mask detection alert system using TensorFlow, OpenCV, Haar Cascades, etc. Detection is determined through a pre-trained AI model, and uses SMTP to send email alerts containing images of the person’s face if they are not wearing a mask.

Face Mask Detection Alert System Poster