Skip to content

Latest commit

 

History

History
59 lines (31 loc) · 3.34 KB

ABOUT.md

File metadata and controls

59 lines (31 loc) · 3.34 KB

ABOUT

The Home Assistant addon provides configuration and control for the Ambianic Edge entity detection and classification in images and videos using artificial intellience (AI).

Step 1: Add repository

Add the addon's Github repository to the Add-on store, accessible from the Supervisor (n.b. lower-left corner of the Home Assistant Web interface).

The Supervisor Dashboard displays any installed addons with indications for status and upgrade.

The Supervisor Add-on store displays addons available from configured repositories.

Additional repositories may be added (n.b control element, upper-right corner)

For example: http://github.com/dcmartin/hassio-addons

The addons from the added repository are displayed in the Add-on store:

Step 2: Install ambianic

Install the addon and the Home Assistant supervisor will download the appropriate Docker container from Docker Hub; for example the armv7 version for RaspberryPi.

After installation -- which may require significant time depending on network speed -- the addon should be configured with the sources and other options and started. See the DOCS.md file for more information on configuration options.

When an update to an addon is available, a notification is provided.

Step 3: Browse to ui.ambianic.ai

The Ambianic Edge software communicates using WebRTC to a progressive Web application (PWA) that provides the user-interface. The PWA provides for settings to establish the peer-to-peer (P2P) connection between the edge device and the Web browser.

Using a Web browser, navigate to https://ui.ambianic.ai (note: SSL/TLS) and the PWA will load and provide access to the controls (n.b. on the left-side).

The PWA connects to the edge device through a redezvous on the local area network (LAN) requiring both the Web browser and the edge device to be on the same LAN for initiation.

Once the P2P connection is established it will be maintained even when the Web browser is not on the same LAN.

The PWA provides a timeline of events, e.g. Object Detection, and displays them chronologically with the latest at the top.