Running the model

At this point you should be done with all the configuration and confident about the selected model, the generated output, and the configured inputs. This is the time to truly deploy your model by setting it to run on the edge device.
The screen below shows the user feadback you should receive before clicking the "Run model" button.
Take care to inspect all the status symbols: all of these should be blue or green to indicate that everything is ready to go. If any of these symbols is not blue, please check the status and notifications page for potential troubleshooting.

Here we go...

You can now click "Run model" and the model will start running according to your configuration. You will receive feedback that the model is running (see the cogs), and all the status buttons will turn green.
At this point, your application platform will receive data. You have successfully deployed an AI model to the edge!
You can "Peek" at the data to quickly see what is sent and detected.
A lot of models also have near realtime visualisations, the "view live visualisation" button will be available for those.
There are visualisations available for locating faces, ANPR, bar code scanning, line crossing, classification and many more.
If you want to learn more about viewing the collected data in the Scailable platform please see our data inspection page in the platform documentation.