cUAS Case Study

Counter-UAS

Detection you can certify. Decisions you can defend.

Detection performance

QAINET's counter-UAS detection layer fuses radar, RF, and harmonic sensors using physics-based multi-sensor fusion — not statistical pattern matching.

Two performance datasets, two pedigrees:

Why counter-UAS is the right deployment for QAINET

Counter-UAS combines every operational pressure QAINET was designed for — and every certification requirement other autonomy stacks fail on:

The only autonomy substrate delivering all five simultaneously.

What operators get

  • Edge-deployable — runs in degraded, denied, or jammed RF

  • Structurally sealed engagement constraints — encoded as hard 3SAT clauses against the cryptographically sealed safety kernel

  • Affect-aware decisions — HACM-ANS adjusts soft constraints to operator state without touching the hard safety envelope

  • Signed engagement log — every detection-through-decision trace cryptographically signed and replayable

  • Fail-closed — if no safe action exists, the system holds

Status

Production today under FAA discipline. Validated at 100-drone adversarial scale, April 2026.

December 13, 2025

Author: LARS WOOD

Publication: QAINET® Detection Validation Studies

December 13, 2025

Author: LARS WOOD

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