Challenge
Mechanical watch drift is interesting to track over time, but manual measurement is inconvenient and error-prone. The app turns the measurement into a fast mobile workflow without specialized hardware.
Solution
Watch Drift uses CameraX to capture the watch dial, a precise measurement timestamp and the OpenClaw AI skill to read the seconds hand from the sub-dial. The result is the calculated drift in seconds and a path toward tracking changes over time.
Outcome
- Fast measurement directly from a phone without manually recording hand position.
- Practical example of connecting mobile UI, camera and AI image reading.
- A project ready for further expansion with history and trend visualization.
