Vantage Platform

Zero-emission awareness. Human truth through any wall.

Vantage uses passive Wi-Fi CSI to detect humans and estimate pose through walls without active radar or visible/IR energy, preserving a low-signature posture. Built for breach operations, site security, and covert overwatch with an edge-only pipeline.

Pose inference core Mesh-ready Offline-first

Every capability centers on resilient pose estimation so operators understand posture and intent before breaching.

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Capabilities

Each module is engineered around the pose estimation pipeline—supporting features feed richer skeletal overlays and mission telemetry while staying passive.

Presence Detection

Low-latency detection on sub-second windows with adaptive thresholds for high-clutter structures.

Pose States

Standing, crouched, and prone classification primes the skeletal estimator and informs ROE.

Motion Vectors

Vectorized CSI deltas map speed, direction, and acceleration to anticipate movement.

Zone / Sector Location

Triangulate presence into sectors for rapid room clearing and follow-on skeletal overlays.

Behavioral Cues

Micro-Doppler patterns reveal agitation, compliance, and dwell time.

Local Logs

Structured JSON, CLI, and GUI outputs with ATAK-ready feeds. Secure export for analytics.

Modular form factors include Tripod Nodes, Handheld Kits, and Remote Payloads tailored for covert operations.

Tripod Node

Deployable mast with directional antennas for site security and long-duration coverage.

Handheld Kit

Portable controller with quick-look pose confidence and silent alerts for breach teams.

Remote Payload

Modular payload integrates with tactical robots and drones for covert overwatch and remote sensing.

Architecture

From RF capture to pose inference, every stage runs locally. CSI ingest → denoising → skeletal estimation → redacted telemetry.

▹ Modular pipeline orchestrated with containerized microservices.
▹ GPU-optional inference with quantized pose networks for Jetson / Pi.
▹ Secure local API for overlays, dashboards, and third-party integrations.

Operational Stack

Built for embedded teams that need deterministic behavior. Every module stays lean so future skeletal overlays render without starving CSI ingest.

RF Front-End

Intel 5300 / AX210 profiles, calibrated antenna maps, and OUI-cached spectrum intel for quick device attribution.

Pose Core

WiPose / PassiveWiFiPose-ready tensors with quantized weights to keep Jetson Nano and Pi 5 within thermal limits.

Telemetry

Schema-validated JSON, CSV, and SQLite logs with hash-chained records for chain-of-custody.

Visualization

Reserved HUD bands for skeletal overlays, mobility vectors, and direction/distance labels without redrawing the full scene.

Hardening & Ops

▹ Offline update bundles signed for air-gapped kits.
▹ Configurable emissions lock to keep radios passive during staging.
▹ CLI health checks for CSI packet loss, clock drift, and thermal margins.
▹ Export profiles for ATAK, KML, and offline replay without cloud calls.

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Technical Specifications

Subsystem	Details
Hardware	Intel AX210 / Wi-Fi 6E radios, multi-band antennas, ruggedized enclosures.
Compute	Raspberry Pi 4/5 or Jetson Nano with optional GPU acceleration for pose inference.
Power	DC 12–24 V input, hot-swappable battery packs, < 25 W draw in continuous sensing.
Interfaces	Ethernet, Wi-Fi, secure CLI/API, ATAK plugin, optional HDMI HUD.

Ready to see pose intelligence in action?

Schedule a controlled demonstration or request our offline briefing packet.

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