- On-device AI
- AI that runs inside the phone or XR device itself, not on an internet server — so it responds instantly, even offline.
- Galaxy XR / XR module
- Samsung's XR (extended-reality) device — worn like glasses or goggles to overlay information onto what you see. The on-site learning runs here.
- Detector
- AI that finds 'what is where' on screen — e.g., the pot, the ingredients, the hands.
- Tracker
- AI that keeps following the same object without losing it as it moves.
- Quantization
- Compressing a heavy AI to run fast on small devices while preserving accuracy.
- NPU acceleration
- Processing on the device's dedicated AI chip (NPU), saving speed and power — practically essential for real-time on-device AI (a general chip alone is slow and drains the battery).
- (AR) overlay
- Placing the AI's guidance (next move, position, score) precisely over the real cooking scene.
Why is the overlay the hardest part? While hands and ingredients move nonstop in front of you, the detector must find each object accurately → the tracker must follow it without losing it → only then can guidance be laid precisely on top. A slight delay or misalignment breaks the learning. Because all of this must run in real time inside the device — not on a server — quantization and NPU acceleration become the crux.