ZEDEDA Edge AI – Object Recognition Use Case

In this ZEDEDA Edge Field Day Showcase, Sergio Santos, Account Solutions Architect shows how ZEDEDA manages edge AI for a practical object recognition use case, specifically for computer vision. His presentation shows how to deploy a stack of three applications—an AI inference container, a Prometheus database, and a Grafana dashboard—using the Docker Compose runtime across a fleet of three devices, one equipped with a GPU and two without. The demo highlights the ability to deploy and manage applications at scale from a single control plane, leveraging ZEDEDA’s automated deployment policies. The process starts from a clean slate, moves through provisioning the edge nodes, and automatically pushes the application stack based on predefined policies, including GPU-specific logic.
A key part of the demonstration is the live update and rollback process. Santos shows how to remotely update the inference container to a new version and then roll it back to the original without restarting the runtime. This highlights ZEDEDA’s lightweight, efficient updates and the use of its Zix infrastructure to push configuration changes. The demo also shows the ability to monitor application logs and device metrics (CPU, memory, network traffic) from the central ZEDEDA controller, proving the platform’s comprehensive management capabilities. The session concludes by demonstrating how to easily wipe the entire application stack by simply moving the edge nodes to a different project.