OPERATIONAL STATUS: DEPLOYABLE

SKYGUARD TACTICAL

Autonomous Acoustic Air Defense Network. Edge-Native. Zero-Latency.

/// MISSION BRIEF

THE PROBLEM: Unauthorized drone surveillance costs construction sites $50k/day in delays. Critical infrastructure faces persistent counter-UAS gaps. Film productions lose $150k per incident.

THE SOLUTION: SkyGuard uses a 4-stage machine learning pipeline to detect drone acoustic signatures in real-time. Unlike visual systems (defeated by darkness/weather), acoustic detection works 24/7.

DETECTION ACCURACY 85.2%

11 Drone Classes

FALSE POSITIVE REJ 80%

Harmonic Filtering

LATENCY 17ms

Real-Time Edge

DEPLOYMENT 48hrs

Contract to Live

/// DEPLOYMENT VECTORS

SkyGuard is architected for specific high-risk verticals where failure is not an option.

SCENARIO ALPHA: BORDER SECURITY

Remote Patrol & Interdiction

Canada's 8,891 km border faces increasing drone smuggling. SkyGuard mobile arrays allow patrol units to detect surveillance drones in weather conditions where visual systems fail.

SCENARIO BRAVO: CRITICAL INFRASTRUCTURE

Perimeter Defense

Power generation and telecommunications facilities require 24/7 protection. SkyGuard provides automated alerting for reconnaissance drones before they breach restricted airspace.

SCENARIO CHARLIE: CONSTRUCTION

Site Integrity Monitoring

Unauthorized surveillance creates competitive leaks and safety violations. SkyGuard monitors the perimeter and sends SMS alerts to site security instantly.

SCENARIO DELTA: FILM PRODUCTION

IP Protection

Paparazzi drones cost productions $150k/incident. Mobile units with tactical radar displays integrate into existing security protocols for high-value shoots.

/// 4-STAGE CASCADE PIPELINE

Most systems are optimized for demos. SkyGuard is optimized for Silence (Low False Positives).

1. Harmonic Pre-Filter: Rejects 80% of biological noise (birds/wind) in 5ms using FFT.
2. MobileNetV2 Classification: Custom trained on 11 distinct drone signatures.
3. OOD Detection: Critical. Uses Mahalanobis distance to flag "Unknown/Modified" drones that don't match the database.
4. Temporal Smoothing: 7-frame rolling average prevents operator alert fatigue.

class DronePipeline:
    def __init__(self):
        self.harmonic_filter = HarmonicFilter(threshold=0.8)
        self.classifier = MobileNetV2(weights='custom_20_epochs')
        self.ood_detector = OODDetector(method='mahalanobis')
        self.smoother = TemporalSmoother(window=7)

    def predict(self, audio_chunk):
        # Stage 1: Fast rejection
        if self.harmonic_filter.reject(audio_chunk):
            return "NOISE" 
            
        # Stage 2 & 3: Classification & Anomaly Detection
        features = self.classifier.extract(audio_chunk)
        if self.ood_detector.is_anomaly(features):
            return "UNKNOWN_UAS" # Flag modified drones
            
        # Stage 4: Stabilize
        return self.smoother.process(features)
                

/// OPERATIONAL MODEL & PRICING

SkyGuard is deployed via a "Deploy & Sustain" doctrine. The software is an asset; the Threat Library is a subscription.

PHASE 1: INITIALIZATION

Site Deployment

$15,000 / SITE

✓ Environmental Calibration: Tuning to local noise floor.
✓ Hardware Integration: Setup on Edge devices (BYOD).
✓ Operator Training: 4-hour security workshop.
✓ Perpetual License: You own the base node forever.

* One-time CapEx Fee

RECOMMENDED

PHASE 2: SUSTAINMENT

Threat Intel Stream

$2,500 / MONTH

✓ Signature Updates: Patches for new DJI/Autel motors.
✓ Adversarial Evasion: Counter-measures for prop-masking.
✓ System Hardening: Monthly security optimization.
✓ 24/7 Engineering Support: Direct line to architect.

* Cancel anytime. System reverts to last update.

/// SYSTEM ONLINE

Deploy the Active Defense Grid

LAUNCH LIVE TERMINAL

REQUEST PILOT PROGRAM // RETURN TO HQ