New crate `wifi-densepose-ruvector` implements all 7 ruvector v2.0.4 integration points from ADR-017 (signal processing + MAT disaster detection): signal::subcarrier — mincut_subcarrier_partition (ruvector-mincut) signal::spectrogram — gate_spectrogram (ruvector-attn-mincut) signal::bvp — attention_weighted_bvp (ruvector-attention) signal::fresnel — solve_fresnel_geometry (ruvector-solver) mat::triangulation — solve_triangulation TDoA (ruvector-solver) mat::breathing — CompressedBreathingBuffer 50-75% mem reduction (ruvector-temporal-tensor) mat::heartbeat — CompressedHeartbeatSpectrogram tiered compression (ruvector-temporal-tensor) 16 tests, 0 compilation errors. Workspace grows from 14 → 15 crates. MAT crate: fix all 54 warnings (0 remaining in wifi-densepose-mat): - Remove unused imports (Arc, HashMap, RwLock, mpsc, Mutex, ConfidenceScore, etc.) - Prefix unused variables with _ (timestamp_low, agc, perm) - Add #![allow(unexpected_cfgs)] for onnx feature gates in ML files - Move onnx-conditional imports under #[cfg(feature = "onnx")] guards README: update crate count 14→15, ADR count 24→26, add ruvector crate table with 7-row integration summary. Total tests: 939 → 955 (16 new). All passing, 0 regressions. https://claude.ai/code/session_0164UZu6rG6gA15HmVyLZAmU
wifi-densepose-mat
Mass Casualty Assessment Tool for WiFi-based disaster survivor detection and localization.
Overview
wifi-densepose-mat uses WiFi Channel State Information (CSI) to detect and locate survivors
trapped in rubble, debris, or collapsed structures. The crate follows Domain-Driven Design (DDD)
with event sourcing, organized into three bounded contexts -- detection, localization, and
alerting -- plus a machine learning layer for debris penetration modeling and vital signs
classification.
Use cases include earthquake search and rescue, building collapse response, avalanche victim location, flood rescue operations, and mine collapse detection.
Features
- Vital signs detection -- Breathing patterns, heartbeat signatures, and movement classification with ensemble classifier combining all three modalities.
- Survivor localization -- 3D position estimation through debris via triangulation, depth estimation, and position fusion.
- Triage classification -- Automatic START protocol-compatible triage with priority-based alert generation and dispatch.
- Event sourcing -- All state changes emitted as domain events (
DetectionEvent,AlertEvent,ZoneEvent) stored in a pluggableEventStore. - ML debris model -- Debris material classification, signal attenuation prediction, and uncertainty-aware vital signs classification.
- REST + WebSocket API --
axum-based HTTP API for real-time monitoring dashboards. - ruvector integration --
ruvector-solverfor triangulation math,ruvector-temporal-tensorfor compressed CSI buffering.
Feature flags
| Flag | Default | Description |
|---|---|---|
std |
yes | Standard library support |
api |
yes | REST + WebSocket API (enables serde for all types) |
ruvector |
yes | ruvector-solver and ruvector-temporal-tensor |
serde |
no | Serialization (also enabled by api) |
portable |
no | Low-power mode for field-deployable devices |
distributed |
no | Multi-node distributed scanning |
drone |
no | Drone-mounted scanning (implies distributed) |
Quick Start
use wifi_densepose_mat::{
DisasterResponse, DisasterConfig, DisasterType,
ScanZone, ZoneBounds,
};
#[tokio::main]
async fn main() -> anyhow::Result<()> {
let config = DisasterConfig::builder()
.disaster_type(DisasterType::Earthquake)
.sensitivity(0.8)
.build();
let mut response = DisasterResponse::new(config);
// Define scan zone
let zone = ScanZone::new(
"Building A - North Wing",
ZoneBounds::rectangle(0.0, 0.0, 50.0, 30.0),
);
response.add_zone(zone)?;
// Start scanning
response.start_scanning().await?;
Ok(())
}
Architecture
wifi-densepose-mat/src/
lib.rs -- DisasterResponse coordinator, config builder, MatError
domain/
survivor.rs -- Survivor aggregate root
disaster_event.rs -- DisasterEvent, DisasterType
scan_zone.rs -- ScanZone, ZoneBounds
alert.rs -- Alert, Priority
vital_signs.rs -- VitalSignsReading, BreathingPattern, HeartbeatSignature
triage.rs -- TriageStatus, TriageCalculator (START protocol)
coordinates.rs -- Coordinates3D, LocationUncertainty
events.rs -- DomainEvent, EventStore, InMemoryEventStore
detection/ -- BreathingDetector, HeartbeatDetector, MovementClassifier, EnsembleClassifier
localization/ -- Triangulator, DepthEstimator, PositionFuser
alerting/ -- AlertGenerator, AlertDispatcher, TriageService
ml/ -- DebrisPenetrationModel, VitalSignsClassifier, UncertaintyEstimate
api/ -- axum REST + WebSocket router
integration/ -- SignalAdapter, NeuralAdapter, HardwareAdapter
Related Crates
| Crate | Role |
|---|---|
wifi-densepose-core |
Foundation types and traits |
wifi-densepose-signal |
CSI preprocessing for detection pipeline |
wifi-densepose-nn |
Neural inference for ML models |
wifi-densepose-hardware |
Hardware sensor data ingestion |
ruvector-solver |
Triangulation and position math |
ruvector-temporal-tensor |
Compressed CSI buffering |
License
MIT OR Apache-2.0