FindFace Multi Data Storages

In this section:

List of Storages

FindFace Multi uses the following data storages:

  • Tarantool-based feature vector database that stores object feature vectors and recognition events: /opt/findface-multi/data/findface-tarantool-server

  • PostgreSQL-based main system database that stores internal system data, records, and user accounts: /opt/findface-multi/data/postgresql

  • The directory that stores photos uploaded to records, video files, full frames of events and counters, and object thumbnails: /opt/findface-multi/data/findface-upload/uploads

  • The directory that stores such event artifacts as normalized object images: /opt/findface-multi/data/findface-multi-legacy/uploads

    Note

    It also stores video chunks if you are using Video Recorder.

  • (Only with Video Recorder) MongoDB-based database storage: /opt/findface-multi/data/mongodb/ that stores meta-information of the video chunks, including their exact location in the /opt/findface-multi/data/findface-multi-legacy/uploads.

Feature Vector Database Galleries

There are the following default galleries in the Tarantool-based feature vector database:

  • ffsec_body_events: feature vectors extracted from bodies detected in the video.

  • ffsec_body_objects: feature vectors extracted from body images uploaded to the record index.

  • ffsec_body_clusters: centroids of body clusters.

  • ffsec_car_events: feature vectors extracted from vehicles detected in the video.

  • ffsec_car_objects: feature vectors extracted from vehicle images uploaded to the record index.

  • ffsec_car_clusters: centroids of vehicle clusters.

  • ffsec_face_events: feature vectors extracted from faces detected in the video.

  • ffsec_face_objects: feature vectors extracted from face images uploaded to the record index.

  • ffsec_face_clusters: centroids of face clusters.

  • ffsec_user_face: feature vectors extracted from the FindFace Multi users’ photos for face-based authentication.