Kart Race Analyzer
1 · Race Data Sources
Provide the two inputs required by the analyzer: an onboard race video and the corresponding lap-time dataset. Lap times can be loaded from a CSV export, entered manually, or extracted automatically from a photograph of your timing sheet.
Onboard Video (MP4)
Lap Times
mm:ss.SSS or decimal seconds.| Lap #e.g. 1, 2, 3… | Lap timee.g. 0:55.234 or 55.234 | Positionoptional · e.g. 2 |
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| Lap #auto · by row order | Lap timee.g. 0:55.234 or 55.234 |
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2 · Race Start Calibration
Mark the frame where the race begins, then fine-tune it against the final lap change. A small reaction-time error in the initial mark accumulates over every lap, so aligning the predicted final-lap-change with the actual on-track moment minimises timing drift across the whole session.
3 · Race Telemetry & Fastest-Lap Reference
Review the full session with live telemetry burned in over the footage — current lap, lap time, and an in-lap timer — alongside a continuously looping playback of your fastest lap. Use this view to identify the sectors where you are losing time relative to your personal best.
4 · Lap Comparison Bench
Run any two laps side by side in synchronised playback. The typical workflow is to compare your reference lap — usually your fastest — against a slower one to pinpoint the corners and braking zones where time is being lost.
5 · Split Times
Mark three recurring landmarks on lap 1 — a braking board, a kerb, a marshal post — by drawing a box around each. The tool then uses OpenCV.js template matching to locate those same landmarks in every lap and builds a sector-split table. Split 1 always begins at the lap change.
| Lap | Split 1 | Split 2 | Split 3 | Lap (Σ) |
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