Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection
This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.
A smart door that grants access if everyone wears a face mask.
POC with Spring, Logback, Graylog, Prometheus and Grafana, to demonstrate log structuring, sensitive data masking, traceability, metrics and dashboards with alerts
zeiper restful api
This repository contains an android app implementing a Machine Learning model for mask detection
A Real-time Mask detection mobile App. This project was built using pytorch framework for PYTORCH-2021 hackathon.
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