[TRLC-DK1] Camera timestamp drift and sync validation for builders labs (intermediate)
TRLC-DK1 discussion on camera timestamp drift, sync validation, capture alignment, and practical checks for usable robot-learning datasets.
DK1 teams often assume their cameras are synchronized until they inspect a longer collection run and realize timestamp drift quietly degraded the dataset.
How are you validating camera synchronization and timestamp stability before collecting serious robot-learning episodes?
Please share your checks for dropped frames, drift accumulation, trigger alignment, and the moment you decide a run is no longer trustworthy.
If you reply, include one exact sync failure symptom and one exact validation or correction step that helped.
This is a high-value thread when replies include how drift was measured, not just that it existed.
If your lab has a short sync validation routine before every capture session, post it. That kind of checklist gets reused fast.
Explain whether the failure showed up in annotation, replay, learning curves, or human review. Searchers care about downstream impact.