GEM Framework Technology

Global β†’ Edge β†’ Mesh: Three-Tier Intelligence Architecture

Production-Proven Since November 2024

Three-Tier Architecture

The GEM Framework distributes intelligence across three distinct tiers, each optimized for specific responsibilities. This architecture enables 1:10+ operator ratios through autonomous coordination.

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GLOBAL TIER

Ground Control Station

  • SAGE Coordinator: Strategic planning and mission orchestration
  • PostgreSQL: Centralized pattern database and knowledge base
  • Prometheus + Grafana: Real-time metrics and visualization
  • Mission Planning: High-level objectives and tactical assignments
βœ… Running 24/7 in IFP Platform
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EDGE TIER

Individual Drone Intelligence

  • Raspberry Pi 5: 2.4GHz ARM CPU, 8GB RAM
  • Hailo AI HAT: 26 TOPS NPU for YOLOv8n at 30 FPS
  • Local Decisions: Real-time object detection and classification
  • Autonomous Operation: Continue mission during communication loss
βœ… Hardware in place
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MESH TIER

Swarm Coordination Layer

  • NATS Event Bus: <500ms latency peer-to-peer communication
  • Pattern Federation: Shared detections across swarm members
  • Self-Healing: Automatic task redistribution on failure
  • Decentralized: No single point of failure
βœ… Proven in 9-agent coordination

Edge AI Processing Pipeline

Every drone runs complete AI stack locally. No cloud dependency. Real-time decisions.

6-Step Processing Pipeline (33ms total)

1. Frame Capture

Pi Camera 3 β†’ 640x640 @ 30 FPS

Cost: ~2ms per frame

2. YOLOv8n Inference

Hailo AI NPU (26 TOPS) acceleration

Cost: ~28ms (vs 286ms CPU-only = 8.5x speedup)

3. Object Detection

Bounding boxes + class labels (vehicles, people, etc.)

Cost: <1ms post-processing

4. Pattern Analysis

HDBSCAN clustering for anomaly detection

Cost: ~1ms (batch processing every 10 frames)

5. Local Decision

Alert / Store / Ignore based on anomaly score

Cost: <1ms decision logic

6. NATS Event Publish

Share detection with swarm + global database

Latency: <500ms to all nodes

Performance Summary

  • 30 FPS sustained throughput (33ms per frame)
  • Real-time processing with <100ms end-to-end latency
  • Low power: ~15W total (5W NPU + 10W Pi 5)
  • Fully autonomous operation (no cloud dependency)

Hardware Specifications

Commercial off-the-shelf components. Easily sourced. Rapidly replaceable.

πŸ–₯️ Compute Platform

Raspberry Pi 5 (8GB)
  • CPU: Broadcom BCM2712, Quad-core ARM Cortex-A76 @ 2.4GHz
  • RAM: 8GB LPDDR4X-4267
  • Storage: 128GB MicroSD (high-endurance)
  • Power: 5V 5A USB-C (~10W typical)
  • Cost: $80 USD

🧠 AI Accelerator

Hailo AI HAT+ (Hailo-8L)
  • NPU: Hailo-8L (26 TOPS INT8)
  • Interface: M.2 2242 PCIe Gen 3 x1
  • Power: ~5W typical
  • Latency: 28ms for YOLOv8n (640x640)
  • Cost: $95 USD

πŸ“· Vision Sensor

Raspberry Pi Camera Module 3
  • Sensor: Sony IMX708 (11.9MP)
  • Resolution: 4608Γ—2592 (12MP stills), 1920Γ—1080 @ 60 FPS
  • Interface: CSI-2 (2-lane)
  • FOV: 66Β° diagonal (Wide variant: 102Β°)
  • Cost: $25 USD

🚁 Drone Platform

Holybro X650 V2 ARF Kit
  • Frame: 650mm carbon fiber wheelbase
  • Motors: T-Motor MN4014 KV330 (4Γ—)
  • Flight Time: 30 minutes (6S 5000mAh battery)
  • Payload: 3,500g (212g used = 6% utilization)
  • Cost: $800 USD (ARF kit)

Total Cost per Drone: ~$1,000 USD

Compare to: Switchblade 600 ($70,000), DJI Matrice 300 RTK ($14,000), Skydio X2 ($13,000). Our platform is 10-70x cheaper with comparable autonomy and superior swarm coordination.

Software Stack

Open-source foundation. Python ecosystem. Battle-tested components.

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Core Runtime

  • Python 3.11: Main application language
  • asyncio: Asynchronous I/O for concurrency
  • Docker: Containerized deployment
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Computer Vision

  • YOLOv8n: Ultralytics implementation
  • Hailo SDK: NPU acceleration layer
  • OpenCV: Image preprocessing
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Machine Learning

  • HDBSCAN: Anomaly detection clustering
  • scikit-learn: Feature engineering
  • NumPy: Numerical operations
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Data Storage

  • PostgreSQL 15: Pattern database
  • TimescaleDB: Time-series metrics
  • Redis: High-speed cache
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Communication

  • NATS: Event mesh (<500ms latency)
  • MAVLink: Drone telemetry protocol
  • gRPC: Ground control API
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Observability

  • Prometheus: Metrics collection
  • Grafana: Real-time dashboards
  • Jaeger: Distributed tracing
βœ… Production Metrics from IFP Platform

This Technology is REAL

9
Autonomous Agents
Running 24/7 since Nov 22
288
Operations/Day
12 ops/hour sustained
26
Anomalies Detected
Pattern discovery works
100%
Telemetry Capture
Zero data loss

What We Offer

Most defense tech is vaporware until proven in combat. We're different:

  • Same GEM Framework: Servers β†’ Drones (architecture identical)
  • Same NATS Mesh: Already coordinating 9 agents successfully
  • Same PostgreSQL: 70+ detections stored, pattern federation proven
  • Same Python Stack: Rapid iteration, proven stability
  • Same Observability: Prometheus/Grafana already deployed

βœ… This isn't a prototype. It's a production system being adapted to drones.