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Altair® AI Edge™ Device Installation

The Altair® AI Edge™ device is designed to be installed easily and safely in an industrial environment.

Physical Mounting

The solid aluminum enclosure has several standard 'tripod' mount points (1/4" x 20 female screw) to allow users to mount it in a variety of ways. Only one mount point is needed for safe installation.

mounting

Power and Networking

The Altair® AI Edge™ device has a single RJ45 Ethernet jack for both network and power. It requires standard PoE or PoE+ with at least 15W of PoE power.

ethernet

Most installations will take advantage of modern network switches with PoE injection. If you need to power the device without a PoE switch, you can use a standalone PoE injector for power.

injector

If you need to retrieve the device IP (e.g. it has been assigned an IP via DHCP), add the "get-node-ip" action and event to the cluster thing schema - see IoT docs page

Altair® AI Edge™ devices boot immediately when power is supplied via PoE; there is no on/off switch.

First Boot

Altair® AI Edge™ devices ship with only minimal software; the rest is downloaded when booting for the first time. Hence when you power up an Altair® AI Edge™ device for the first time, it will immediately try to connect to Altair IoT Studio (either our SaaS tenant or your on-premise installation) and, once it has established connectivity, will start downloading and installing software via IoT Studio EdgeOps. You should see telemetry coming from the device in IoT Studio after a couple of minutes.

telemetry

Note: this initial installation download is large. Please wait at least 10 minutes for the device to appear on IoT Studio's EdgeOps Fleet Management screens.

Camera Setup with the Media Streamer App

There is an app in the Altair IoT Studio Marketplace called Raspberry Pi Media Streamer that comes preinstalled on Altair® AI Edge™ devices. It streams live video from the camera to get the correct setup orientation during installation.

To view the stream, go to your local device IP in your browser at port 32432: http://<my-device-ip>:32432/cam/

Note: The Media Streamer app is turned off by default. You must scale down the Media Streamer before using the camera with AI Edge Toolbox operators!

Scaling the Media Streamer Up/Down

There are several ways to scale the Media Streamer up/down.

Scaling the Media Streamer Up/Down via AI Studio with the AI Edge Toolbox extension

You can use the Toggle Media Streamer (IoT) operator in AI Edge Toolbox to scale the Media Streamer up or down. See the accompanying tutorial process inside AI Studio for details.

toggle-media-streamer

Scaling the Media Streamer Up/Down via IoT Studio

To scale the Media Streamer up/down via IoT Studio, go to AnythingDB → device → Actions/Events

  • action == manage-deployment
  • command == scale
  • correlationId == abcdefg
  • parameters → deployment == ase-media-streamer
  • parameters → namespace == ecp
  • parameters → replicas == 0 (scale down) or 1 (scale up)
  • event == manage-deployment

OR

You can use the "send-kubectl" action to run the equivalent of:

kubectl -n ecp scale --replicas=0 deployments/ase-media-streamer

or in array format:

["-n","ecp","scale","--replicas=0","deployments/ase-media-streamer"]

OR

You can use the send-kubernetes-api directly (quicker response, bypasses cli):

PATCH

/apis/apps/v1/namespaces/ecp/deployments/ase-media-streamer

[{"op":"replace","path":"/spec/replicas","value":0}]

[{\"op\":\"replace\",\"path\":\"/spec/replicas\",\"value\":0}]

This is the preferred method. (No need to add the "manage-deployment" action.)