Fast & Flexible
Face Recognition with Docker Deployment
Detect known and unknown person
- Local computation delivered in containerized image
Auto analytics update
- Video stream input suitable for surveillance
High Quality with Proven Implementation
Rapidly process, detect, and identify faces from multiple live video sources simultaneously in real-time.
Our face recognition achieves 99,83% accuracy using Labelled Faces in the Wild (LFW) dataset
Robust in Real Situation
Assures to correctly recognize face with a particular condition like tilted, nodded, aged, and minor attributes like glasses and scarf.