Gaze: The Sovereign AI Forensic Sentinel for UGREEN AI NAS
"Security shouldn't mean trading your privacy for peace of mind, nor should it mean spending your Sunday scrubbing through 12 hours of empty camera footage."
The Reality of Modern Surveillance
We have surrounded our homes and small businesses with high-definition cameras. Every driveway, porch, stockroom, and entryway is watched 24/7. Yet, our security systems remain remarkably blind.
When a package is stolen, a catalytic converter is cut off at 3:00 AM, or an unauthorized vehicle idles outside a warehouse, the experience is always the same: a frantic, exhausting search through fragmented timelines, squinting at pixelated timestamps, and hoping you don’t miss the critical five seconds of action.
The industry’s answer has been "Cloud AI"—an expensive compromise that requires streaming continuous, unencrypted video feeds of your private living spaces to third-party data centers. Beyond the obvious privacy violations, continuous 4K cloud video processing quickly runs into the hard mathematical realities of bandwidth saturation and unsustainable API costs:
$$V_{\text{daily}} = N_{\text{cameras}} \times \text{Bitrate} \times 86{,}400\text{s} \quad \implies \quad C_{\text{cloud}} \gg C_{\text{local}}$$
We don’t need more cloud subscriptions. We need local, private intelligence right where our video feeds already live: on the NAS.
Enter Gaze
Gaze transforms the UGREEN AI NAS into an autonomous on-premises forensic investigator.
Instead of passive video storage, Gaze gives your NAS active perception. It monitors physical surveillance feeds, applies local Vision Language Models (VLM) directly on the device, cross-references faces against your private household photo library, and compiles tamper-evident forensic dossiers—without a single byte of video, biometric data, or license plate information ever leaving your local network.
Whenever an incident occurs, you simply talk to your NAS:
"Gaze, investigate unusual activity around the driveway between 1:00 AM and 5:00 AM yesterday and prepare an incident brief."
How Gaze Operates: Multi-Agent Local Orchestration
Under the hood, Gaze is built as an intelligent multi-agent orchestrator natively integrated with UGOS and the Uliya Skill Architecture. Rather than relying on a single unfocused LLM, Gaze coordinates four specialized expert systems:
┌─────────────────────────────────────────┐
│ Natural User Query │
│ "Investigate driveway, 1am - 5am" │
└────────────────────┬────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│ Gaze Autonomous Controller │
└──────┬─────────────┬─────────────┬──────┘
│ │ │
┌────────────┘ │ └────────────┐
▼ ▼ ▼
┌──────────────────────┐ ┌──────────────────────┐ ┌──────────────────────┐
│security-monitor-agent│ │ photo-agent │ │ knowledge-agent │
│ ug-surveillance │ │ ug-photo │ │ ug-knowledge │
│ ─────────────── │ │ ─────────────── │ │ ─────────────── │
│ • Timeline events │──►│ • Local Vision VLM │──►│ • Timeline synthesis │
│ • Plate recognition │ │ • Figure album match │ │ • Dossier drafting │
│ • Frame extraction │ │ • Attire & behavior │ │ • Evidence packaging │
└──────────────────────┘ └──────────────────────┘ └──────────────────────┘
│
▼
┌──────────────────────┐
│ file-agent │
│ ug-filesystem │
│ ─────────────── │
│ • SHA-256 Hashing │
│ • waiting_approval │
│ • Sovereign Archive │
└──────────────────────┘
- Intelligent Hardware Sifting (
security-monitor-agent):
Gaze queries the UGOS surveillance timeline for target zones and timestamps, pulling relevant movement clusters, vehicle license plates, and raw frame crops. - On-Device Visual Forensics (
photo-agent):
Snapshot frames are evaluated locally using on-device Vision Language Models. Gaze generates natural-language scene understanding ("Male subject in dark hoodie, holding a metal pry bar by the side latch"). - Biometric Grounding:
Gaze cross-references detected faces against registered household profiles infigure-albums. Familiar family members returning home are recognized and suppressed, eliminating false alarm fatigue, while unrecognized subjects are isolated for scrutiny. - Structured Incident Synthesis (
knowledge-agent):
The visual narrative, vehicle plates, and timecodes are consolidated into a chronological forensic dossier. - Cryptographic Chain of Custody (
file-agent):
Every snapshot and video clip is sealed with a cryptographic checksum:
$$\mathcal{H} = \text{SHA-256}(\text{evidence_frame})$$
Before anything is permanently written or archived, Gaze pauses in a zero-trust waiting_approval state, asking the user to confirm the dossier and review the findings.
Why UGREEN AI NAS Is the Perfect Hardware for Gaze
Gaze isn’t an application that merely happens to run on a NAS—it is architected from day one around the unique hardware profile of the UGREEN AI NAS iDX6011 Pro (64GB):
- Massive Storage Bandwidth: Local SATA/NVMe drive bays handle uncompressed multi-channel 4K video feeds without bottlenecking.
- On-Device NPU & VLM Acceleration: The 64GB memory footprint and hardware NPU allow running high-parameter Vision Language Models locally at zero inference cost.
- True 24/7 Sovereign Operation: Gaze never sleeps. It operates behind your home firewall, immune to cloud outages, internet disconnections, or third-party service deprecations.
The Vision Ahead
Gaze represents the future of personal and SMB data sovereignty. For Round 1, we have built and verified the complete Uliya orchestration core, multi-agent contracts, and reference test specifications, achieving a 100% clean static pass with zero linter errors.
When selected for Round 2, we will deploy Gaze directly onto the remote UGREEN AI NAS iDX6011 Pro environment to benchmark real-time multi-camera frame extraction, tune local VLM prompt latency, and demonstrate end-to-end incident investigation on live hardware.
Gaze keeps watch. Your private data stays yours.
Built With
- ai-agents
- computer-vision
- cybersecurity
- edge-ai
- linux
- multi-agent-systems
- ugos
- ugreen-ai-nas
- uliya-skill
- vision-language-models
