COVID-19 Compliance System: Real-Time Mask Detection and Reporting for Enhanced Public Safety

/ Computer Vision & Image Processing, Generative AI on AWS use cases / By

Description

To combat the spread of COVID-19, we developed a system to ensure compliance with mask-wearing rules. It captures live video to detect if individuals are wearing masks and reports non-compliance to authorities. This system uses our own and Kaggle data for training and testing.

Practical Use Case and User Story

As a facility manager, I need a system that uses computer vision to monitor live video feeds for mask compliance. It should leverage deep learning models to detect individuals not wearing masks, log these instances, and send real-time alerts to authorities. This will help ensure health and safety compliance, minimize economic disruptions, and provide adaptable monitoring for various environments.

Tech Stack Involved

YOLOv5 (You Only Look Once), Deep Learning, MTCNN, Amazon Rekognition, OpenCV, Python, Image Processing

Demo

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