Edge AI Cameras with Privacy

Cameras have quietly become one of the most powerful—and most scrutinized—devices in the connected home. As AI-driven detection improves, so do concerns about where video data is processed, stored, and accessed. Edge AI is changing that equation by keeping analysis local, enabling faster response times and more intelligent automation without defaulting to the cloud. For integrators, this opens up new possibilities around occupancy awareness, perimeter detection, and system-wide triggers—but also raises important design decisions around network architecture, data handling, and client trust.

This training will cut through the noise to focus on current capabilities, where edge processing delivers measurable advantages, and where cloud-based systems still play a role. Drawing on perspectives from both the control layer and camera manufacturers, the discussion will center on real-world deployments, design tradeoffs, and how these systems perform in the field.