Visionaire Docker Snapshot is a containerized Face Recognition to be deployed on top of Docker Runtime
Process Rapidly detects and matches faces from two photos.
Our face recognition achieves 99.83% accuracy using Labelled Faces in the Wild (LFW) dataset. In addition, on our own testing dataset, the system manages to achieve a false non match rate of 17% and a false match rate of 0%.
Assures to correctly recognize a face with a particular condition like minor tilt, nod, age, and minor attributes like glasses and scarf.
Our face match can be used as a verification system (1-to-N comparison).