SafeGuard Vision – Compliance Detection at Scale

Enhancing Public Safety with Real-Time Face Mask Detection Using AI

Monitoring mask compliance in public spaces is a critical safety measure, especially during health crises—but manual enforcement through surveillance footage is labor-intensive and often unreliable.

To automate this process, a Convolutional Neural Network (CNN)-based AI model was developed to detect whether individuals are wearing face masks. Trained on a comprehensive image dataset, the system accurately identifies human faces and determines mask presence in real time.

Seamlessly integrable with live CCTV feeds or recorded video files, the solution supports multi-face detection on a single screen—making it ideal for crowded environments like airports, hospitals, and workplaces. This AI-powered system improves surveillance efficiency, ensures safety compliance, and reduces the need for manual monitoring.