Scailable

The Scailable platform and AI manager allow you to create and manage edge AI solutions effortlessly. Scailable provides a platform for creating and managing Edge AI solutions at scale. With Scailable, you can simply configure any supported edge device (such as a router, gateway, or IPC) to turn it into a "smart" device.

This tutorial describes how you can build and train an Edge Impulse model for vision tasks and deploy this model seamlessly using the Scailable platform.

Getting started with Scailable

Scailable provides a full end-to-end tutorial for importing an Edge Impulse model into the Scailable Cloud Platform. Please see their guide for information to install and setup all preliminary software and hardware requirements.

Preliminary steps

• Purchase Scailable officially supported hardware

• Create a Scailable platform account

• Create an Edge Impulse account

Now continue with the Scailable's tutorial ("Model training using the Edge Impulse platform.").

Next steps: building a machine learning model

With everything set up you can now build your vision-based machine learning model by following the below tutorial. Make sure that you select the FOMO MobileNetV2.0.1 on the model selection page in the Edge Impulse Studio.

• Detect objects with centroids (FOMO)

Import to Scailable

Once you have fully trained your model in Edge Impulse, continue with the Scailable tutorial ("Coupling your Edge Impulse model with Scailable") in their documentation.

Deploying back to device

Once you have fully trained your model in Edge Impulse, continue with the Scailable tutorial ("Deploying (and testing) your model on your edge device") in their documentation.