From Estimationto Ground Truth.
Tired of sensor drift and "woosted" leaderboards? AeroGraph uses Visual-Inertial Calibration to deliver metrics you can actually trust—context-normalized for real comparison.
Why Your Current Data Is Wrong
Every jump tracker on the market suffers from the same physics problem: integration drift.
The "Woosting" Problem
WOO mounts on the board. Flick your board above your head at the apex? The sensor counts it as jump height. Competitive leaderboards are filled with technically-flawed jumps that register higher than stable boosts.
The Drift Problem
MEMS accelerometers measure acceleration, not position. To get height, the system integrates twice—and errors compound quadratically. A tiny 0.01g bias becomes meters of error after 60 seconds.
The AeroGraph Solution
Visual-Inertial Calibration (VIC) uses camera footage to continuously correct sensor drift. The camera sees absolute position—the horizon, the water, reference points—and resets the error to zero.
Drift Simulator
Watch how sensor drift compounds over time
Why Visual-Inertial Calibration Works
Traditional IMUs measure acceleration and integrate twice to get position. Each integration compounds errors—growing with t² (time squared). After 60 seconds, the error can exceed 300%.
AeroGraph's VIC uses computer vision to continuously correct the drift. The camera sees the horizon, the water, the reference points—and constantly resets the error to near-zero.
Context-Normalized Metrics
An 8m jump in 35-knot gusty conditions is NOT the same as 8m in 20-knot stable wind. AeroGraph normalizes your performance for true comparison.
35kts gusty, Tarifa
28kts, Cape Town
18kts stable, Brazil
Rider A benefits from extreme conditions that most can't replicate.
Perfect execution in moderate wind
Excellent height-to-wind ratio
Overpowered, less controlled
Skill matters more than extreme conditions.
AI Video Highlights
Mount a camera. Ride. AeroGraph automatically clips your best moments, analyzes your pose, and gives you coaching feedback.
Auto-Clip Detection
AI identifies jumps, tricks, and wipeouts from raw footage. No manual editing required.
Pose Estimation
Computer vision tracks your body position mid-air. Get feedback on knee extension, bar position, and rotation.
Progression Tracking
See your technique improve over time with objective metrics, not just feelings.
Full API Access
Build your own integrations. Access all your session data, metrics, and AI analysis programmatically.
import { AeroGraph } from '@aerograph/sdk';
const client = new AeroGraph({ apiKey: process.env.AERO_KEY });
// Get your latest session with full metrics
const session = await client.sessions.getLatest({
include: ['jumps', 'weather', 'normalized_scores']
});
console.log(session.jumps[0]);
// {
// height_raw: 8.5,
// height_vic: 8.47, // VIC-corrected
// duration: 3.2,
// wind_at_jump: 22,
// normalized_score: 94.2,
// pose_analysis: { knee_extension: 168, bar_position: 'optimal' }
// }Ready for Real Data?
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