Fast & Flexible
Face Recognition with Docker Deployment
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Detect known and unknown person
- Local computation delivered in containerized image
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Auto analytics update
- Video stream input suitable for surveillance
High Quality with Proven Implementation

Fast Identification
Rapidly process, detect, and identify faces from multiple live video sources
simultaneously in real-time.

High Accuracy
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.