After almost two years of joint work SUPREMATIC and Smilart are proud to announce FaceStorm.
FaceStorm is platform, which uses facial recognition algorithms to reliably identify humans in cooperative and non-cooperative real-time scenarios.
With FaceStorm we able to match single face against gallery of 10,000 faces in about 80ms, using single, consumer grade, GPU accelerator.
Behind the scenes FaceStorm uses OSGi as a modularization technology, AMQP (RabbitMQ) for messaging, ZooKeeper for cluster coordination and MongoDB as a database. We also use CUDA for parallel computations.
FaceStorm uses our internally developed algorithms, which are able to robustly identify faces and be tolerant to natural and artificial distortions.
Images below are examples of faces acquired from the camera (left) which has been properly matched against gallery portraits (right).
FaceStorm is platform, which uses facial recognition algorithms to reliably identify humans in cooperative and non-cooperative real-time scenarios.
With FaceStorm we able to match single face against gallery of 10,000 faces in about 80ms, using single, consumer grade, GPU accelerator.
Behind the scenes FaceStorm uses OSGi as a modularization technology, AMQP (RabbitMQ) for messaging, ZooKeeper for cluster coordination and MongoDB as a database. We also use CUDA for parallel computations.
FaceStorm uses our internally developed algorithms, which are able to robustly identify faces and be tolerant to natural and artificial distortions.
Images below are examples of faces acquired from the camera (left) which has been properly matched against gallery portraits (right).
