Point. Ask. Answer. Building Vision into AI on Constrained Hardware

Your Ring camera sees everything. And so does the company behind it. But what if you could build your own intelligent camera with a Raspberry Pi, a $10 webcam, and an AI model that actually understands what it sees? You still get smart alerts. You can still ask questions about what happened. But there’s no cloud dependency, no subscription, and no footage leaving your device. Your data. Your hardware. Your rules. In this session, we’ll use that idea as a real-world example to look under the hood of local multimodal AI: how vision models understand a scene, how inference runs on constrained hardware, how the system stores and retrieves context, and how these pieces come together to create an intelligent camera experience entirely on-device.