Standalone Architecture

FindFace Enterprise Server SDK components and neural network models can be deployed on a single host (standalone) making it easier to start deployment and cater to basic requirements of your applications. A typical standalone installation of FindFace Server is shown on the diagram below.

Tip

In addition to FindFace Server, you can also harness the advanced features.

Note

Standalone installation can be done step-by-step or from a developer-friendly installer.

Component	Description
findface-facenapi	Python daemon which runs HTTP API. This daemon executes face detection functions, interfaces with MongoDB and findface-nnapi and tarantool@FindFace daemons.
tntapi (tarantool@FindFace as a shard)	Daemon which enables interaction with the face descriptors index.
findface-nnapi	Daemon which extracts a feature vector (based on neural networks). Requires the packages with models <findface-data>.deb.
MongoDB	Database which stores faces metadata, galleries details, settings, etc.
findface-upload	Nginx web server used to receive images using WebDAV.
NTLS	Local license server which interfaces with NtechLab Global License Server (for network licensing) or a USB dongle (for on-premise licensing) and passes a license to licensable components.