Execution Evidence / nmVR Edge Control

Neuromorphic Camera And VR Stabilization

Live Jetson Orin Nano stream comparing a deterministic baseline controller with SLNN+NdFractal+HRR. Baseline telemetry is used only for measurement, not as a neural fallback.

SLNN+NdFractal+HRR Baseline Control Connecting...
Tracking Fixture

Fast Tracking

White is the moving target. Red is the baseline controller. Blue is SLNN+NdFractal+HRR.

Baseline Error - px
Neural Error - px
Live Improvement -
Baseline Overshoot / Jitter - px / -
Neural Overshoot / Jitter - px / -
Validated Mean 1.86x lower
Baseline Neural Target

Baseline: damped spring/lead camera controller. Neural: adaptive reservoir controller with NdFractal memory and HRR correction.

Current measured result: mean tracking error is about 46% lower than baseline on this fixture.

VR Fixture

VR Horizon Stability

White is raw head bobble. Red and blue are residual shake after stabilization.

Baseline Residual -
Neural Residual -
Live Improvement -
Validated p95 0.0047
FPS -
Validated Mean 1.79x lower
Baseline Neural Raw Motion

Baseline: deterministic horizon damping. Neural: independent SLNN+NdFractal+HRR stabilization, with no baseline output fallback or oracle critic.

Current measured result: mean VR residual is about 44% lower than baseline; p95 residual is about 0.0047.