fluxstate-edge 1.0.2

Zero-Trace Contextual Edge Video Analytics SDK

FluxState: Zero-Trace Edge Intelligence SDK

FluxState Edge is an enterprise-grade, camera-agnostic video analytics SDK designed for high-security environments. It operates as a headless Intelligence layer, ingesting RTSP streams from existing IP cameras and applying advanced, multi-modal behavioral reasoning.

Unlike legacy security systems that rely on hardcoded tripwires or controversial facial recognition, FluxState utilizes a Behavioral Threat Matrix. It fuses geometric Vision (YOLOv8), 3D Skeletal Kinetics (MediaPipe), Acoustic Escalation (PyAudio), and RF Payload signatures to generate a dynamic, anonymous Reality Graph.

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🚀 Core Enterprise Capabilities

• Zero-Trace Privacy Engine: Engineered for strict GDPR and Defense data-retention compliance. Raw pixel buffers are processed entirely in ephemeral RAM and cryptographically overwritten (zeroed out) instantly post-inference, neutralizing memory-dump attacks.
• Hardware Agnostic (RTSP): Connects to any existing IP camera via standard RTSP URLs. No proprietary hardware required.
• Swarm Ledger (GPASS): Introduces Geometric Perceptual Anonymous Signature Swarm tracking. Associates behaviors to cryptographic hashes based on upper-body geometry instead of faces.
• Over-The-Air (OTA) Policies: Threat definitions, behavioral thresholds, and VMS Webhook destinations are loaded dynamically from intelligence_policy.json, allowing central command to update remote edge nodes without restarting the stream.
• Webhooks Integration Bus: Operates completely headlessly. Emits near-instant JSON telemetry payloads to centralized Video Management Systems (VMS) only when behavioral threats are confirmed.

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📦 Installation & System Requirements

System Dependencies: FluxState relies on native system libraries for optical character recognition and audio streaming.

• macOS: brew install tesseract portaudio
• Linux (Ubuntu/Debian): sudo apt-get install tesseract-ocr libportaudio2 libportaudiocpp0 portaudio19-dev

Install the SDK:

pip install fluxstate-edge

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🛠️ Seamless Developer Integration (The SDK)

FluxState is designed as the "Intel Inside" for your security infrastructure. It is meant to be embedded directly into your proprietary backend.

1. Minimal 5-Line Integration

Create an entrypoint script (e.g., main.py):

import time
from app import FluxStateNode

# Initialize the SDK (Zero-Trace Mode Enabled by Default)
sdk = FluxStateNode()

# Define your seamless integration hooks
def handle_threat(event_payload):
    print(f"\n[🚨 INTEGRATION BUS] Threat Detected! Escalating to VMS...")
    print(f"Target Identity: {event_payload['entities']}")
    print(f"Behavioral Vector: {event_payload['context_log']}")

# Bind the hook to the SDK
sdk.on_threat_detected = handle_threat

# Deploy Headlessly (Runs as a background daemon)
sdk.start_headless_daemon()

try:
    while True: 
        time.sleep(1)
except KeyboardInterrupt:
    print("Shutting down SDK cleanly...")
    sdk.stop()

2. Available Event Hooks

The FluxStateNode exposes the following native Python hooks for your backend:

• on_threat_detected(payload: dict): Fires immediately when the behavioral reasoning engine crosses the threshold defined in the active Intelligence Policy.
• on_telemetry_update(payload: dict): A silent telemetry hook that fires 30 times a second. Useful for bridging the raw geometric track data into local caching databases (Redis/Kafka) without triggering alarms.

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⚙️ Configuration: The Intelligence Policy

FluxState uses a dynamic JSON file (intelligence_policy.json) located in the runtime directory to configure behavioral thresholds. This file is hot-reloaded by the AI engine, allowing you to tweak camera sensitivity OTA.

{
  "SECTOR_ID": "ENTERPRISE-HQ-01",
  "RTSP_STREAM_URL": "0",
  "INTEGRATION_WEBHOOK_URL": "https://api.your-vms.com/v1/telemetry",
  "THREAT_VECTORS": {
    "ARMS_RAISED_OR_REACHING": {
      "enabled": true,
      "escalation_threshold": 0.85
    },
    "RAPID_KINETIC_SHIFT": {
      "enabled": true,
      "escalation_threshold": 0.90
    }
  }
}

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🛡️ Architecture Overview

For a deep dive into the threading model, asynchronous OCR extraction, and the mathematical implementation of the Zero-Trace Privacy Engine, please refer to the architecture.md file in the source repository.

FluxState is developed as an intelligence overlay for modern video management infrastructure.