Public Health Compliance

A high-accuracy Real-time Computer Vision system designed to detect the presence of face masks. Trained on a diverse dataset of over 7,500 images, it handles various lighting conditions, angles, and facial obstructions.

Technical Highlights

• Model Base: MobileNetV2 for extreme efficiency (Transfer Learning approach).
• Classes: Detects "With Mask" and "Without Mask" with >98% accuracy on validation sets.
• Real-time Inference: Smooth performance on standard webcams and IP cameras.

Best Use Cases

Smart building entrances, hospital compliance monitoring, and automated retail safety gates.