Introduction
The relationship between ZEDEDA and Edge Impulse is a partnership aimed at simplifying and accelerating the deployment of Artificial Intelligence (AI) at the edge. ZEDEDA provides edge management and orchestration, while Edge Impulse provides a platform for building and deploying machine learning models to edge devices. You can deploy Edge Impulse AI models through the ZEDEDA Marketplace. This enables you to do secure, single-click deployment of edge AI applications to fleets of devices. Automatic monitoring of your models provides data for continuous model retraining.
The following Edge Impulse integration demo explains how you can deploy machine learning applications, specifically edge AI solutions, built with Edge Impulse on devices managed by ZEDEDA Cloud:
Deploying Edge Impulse Models on ZEDEDA Cloud Devices
The example uses a Raspberry Pi 4 with EVE-OS to create an end-to-end edge AI deployment, such as a computer vision application. The Edge Impulse model is packaged as a containerized application and deployed to the edge node through ZEDEDA Cloud. The article also mentions how to use the experimental Model Monitoring features to track Edge Impulse models running on devices in production.
Next Steps
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Get EVE-OS
- Flash an EVE-OS installer or live image
- Install EVE-OS on your edge node
- Create a Project in ZEDEDA Cloud (if one has not already been created for you)
- Onboard an edge node to ZEDEDA Cloud
- Add a Container as an Edge App Type