Zero-emission awareness. Human truth through any wall.
Vantage turns commodity Wi-Fi signals into actionable awareness — detecting presence, pose, movement, and location through walls with a zero-emission, edge-only pipeline.
Every capability centers on resilient pose estimation so operators understand posture and intent before breaching.
Request a DemoCapabilities
Each module is engineered around the pose estimation pipeline—supporting features feed richer skeletal overlays and mission telemetry.
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.
Tripod Node
Deployable mast with directional antennas for perimeter overwatch and long-duration coverage.
Handheld
Portable controller with quick-look pose confidence and silent alerts for breaching teams.
UGV / UAS Payload
Modular payload integrates with tactical robots and drones for remote sensing in denied corridors.
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.
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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.