Overview

Getting started

Getting started →

Install FaceStream.AI with Docker, add your first camera, enrol a person and send a first message to Home Assistant, Loxone or your phone.

Getting started

Installation →

Install FaceStream.AI with Docker or Docker Compose, on a Synology, QNAP or Unraid NAS, a Raspberry Pi or Linux without Docker. Updates and backups.

Getting started

Editions and licence →

What FaceStream.AI Free, Pro, Business and Enterprise include, how to enter a licence, and how activation and the update period work.

Setting up

Adding a camera →

Add IP cameras, video doorbells and the Loxone Intercom: ONVIF camera search, RTSP and MJPEG addresses by brand, output size, detection zones.

Setting up

People and photos →

Enrol the people FaceStream.AI should recognise: which photos work best, how many you need, and how to rename or delete someone.

Setting up

Recognition and requests →

Continuous face recognition or recognition when the doorbell rings: the settings, the liveness check, the events and the trigger API.

Setting up

Connections and rules →

Send face recognition events to Home Assistant, Loxone, KNX, MQTT, webhooks or your phone: connections, rules, placeholders, delivery log.

Setting up

Events and visits →

The visit log: who was recognised at which camera, when and for how long, with the pictures — and how long they are kept.

Integrations

Face recognition in Home Assistant →

Face recognition for Home Assistant via MQTT discovery: a device per camera, automations for arrivals, strangers and the doorbell, a live dashboard.

Integrations

Face recognition with Loxone →

Face recognition for the Loxone Intercom and Miniserver: the bell starts the recognition, the name lands on a virtual input. Step by step.

Integrations

KNX →

Write a KNX group address when somebody is recognised: a switch, a number or a text over a KNXnet/IP gateway, with examples.

Integrations

MQTT, webhooks and UDP →

Connect face recognition to Node-RED, ioBroker, openHAB, n8n or your own scripts over MQTT, HTTP webhooks or UDP.

Integrations

Push messages, e-mail and syslog →

A push message with the picture via Telegram, Pushover or ntfy, an e-mail with the face and the whole picture, or a line in your syslog collector.

Use cases

Use case: smart home →

Face recognition recipes for the smart home: a doorbell that knows who rang, children home from school, couriers, the driveway at night.

Use cases

Use case: hotels and hospitality →

Face recognition in hotels, with consent: greet returning guests who opted in, and hear about unknown people in staff areas after hours.

Use cases

Use case: security and restricted areas →

Face recognition for server rooms, entrances after hours and restricted areas: alerts with the picture, e-mail records, syslog.

Help

Troubleshooting →

Cameras without a picture, people not recognised, messages that do not arrive, wrong times, a forgotten password — and where to look first.

Help

Privacy and your data →

What FaceStream.AI stores, where and for how long, what leaves your network, and how to remove a person entirely.