Full implementation of Project AETHER — Contrastive CSI Embedding Model. ## Phases Delivered 1. ProjectionHead (64→128→128) + L2 normalization 2. CsiAugmenter (5 physically-motivated augmentations) 3. InfoNCE contrastive loss + SimCLR pretraining 4. FingerprintIndex (4 index types: env, activity, temporal, person) 5. RVF SEG_EMBED (0x0C) + CLI integration 6. Cross-modal alignment (PoseEncoder + InfoNCE) 7. Deep RuVector: MicroLoRA, EWC++, drift detection, hard-negative mining, SEG_LORA ## Stats - 276 tests passing (191 lib + 51 bin + 16 rvf + 18 vitals) - 3,342 additions across 8 files - Zero unsafe/unwrap/panic/todo stubs - ~55KB INT8 model for ESP32 edge deployment Also fixes deprecated GitHub Actions (v3→v4) and adds feat/* branch CI triggers. Closes #50
99 lines
3.9 KiB
Markdown
99 lines
3.9 KiB
Markdown
# wifi-densepose-wifiscan
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[](https://crates.io/crates/wifi-densepose-wifiscan)
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[](https://docs.rs/wifi-densepose-wifiscan)
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[](LICENSE)
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Multi-BSSID WiFi scanning for Windows-enhanced DensePose sensing (ADR-022).
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## Overview
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`wifi-densepose-wifiscan` implements the BSSID Acquisition bounded context for the WiFi-DensePose
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system. It discovers and tracks nearby WiFi access points, parses platform-specific scan output,
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and feeds multi-AP signal data into a sensing pipeline that performs motion detection, breathing
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estimation, attention weighting, and fingerprint matching.
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The crate uses `#[forbid(unsafe_code)]` and is designed as a pure-Rust domain layer with
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pluggable platform adapters.
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## Features
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- **BSSID registry** -- Tracks observed access points with running RSSI statistics, band/radio
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type classification, and metadata. Types: `BssidId`, `BssidObservation`, `BssidRegistry`,
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`BssidEntry`.
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- **Netsh adapter** (Tier 1) -- Parses `netsh wlan show networks mode=bssid` output into
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structured `BssidObservation` records. Zero platform dependencies.
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- **WLAN API scanner** (Tier 2, `wlanapi` feature) -- Async scanning via the Windows WLAN API
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with `tokio` integration.
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- **Multi-AP frame** -- `MultiApFrame` aggregates observations from multiple BSSIDs into a single
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timestamped frame for downstream processing.
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- **Sensing pipeline** (`pipeline` feature) -- `WindowsWifiPipeline` orchestrates motion
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detection, breathing estimation, attention-weighted AP selection, and location fingerprint
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matching.
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### Feature flags
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| Flag | Default | Description |
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|------------|---------|------------------------------------------------------|
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| `serde` | yes | Serialization for domain types |
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| `pipeline` | yes | WindowsWifiPipeline sensing orchestration |
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| `wlanapi` | no | Tier 2 async scanning via tokio (Windows WLAN API) |
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## Quick Start
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```rust
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use wifi_densepose_wifiscan::{
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NetshBssidScanner, BssidRegistry, WlanScanPort,
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};
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// Parse netsh output (works on any platform for testing)
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let netsh_output = "..."; // output of `netsh wlan show networks mode=bssid`
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let observations = wifi_densepose_wifiscan::parse_netsh_output(netsh_output);
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// Register observations
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let mut registry = BssidRegistry::new();
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for obs in &observations {
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registry.update(obs);
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}
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println!("Tracking {} access points", registry.len());
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```
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With the `pipeline` feature enabled:
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```rust
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use wifi_densepose_wifiscan::WindowsWifiPipeline;
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let pipeline = WindowsWifiPipeline::new();
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// Feed MultiApFrame data into the pipeline for sensing...
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```
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## Architecture
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```text
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wifi-densepose-wifiscan/src/
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lib.rs -- Re-exports, feature gates
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domain/
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bssid.rs -- BssidId, BssidObservation, BandType, RadioType
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registry.rs -- BssidRegistry, BssidEntry, BssidMeta, RunningStats
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frame.rs -- MultiApFrame (multi-BSSID aggregated frame)
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result.rs -- EnhancedSensingResult
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port.rs -- WlanScanPort trait (platform abstraction)
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adapter.rs -- NetshBssidScanner (Tier 1), WlanApiScanner (Tier 2)
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pipeline.rs -- WindowsWifiPipeline (motion, breathing, attention, fingerprint)
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error.rs -- WifiScanError
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```
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## Related Crates
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| Crate | Role |
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|-------|------|
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| [`wifi-densepose-signal`](../wifi-densepose-signal) | Advanced CSI signal processing |
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| [`wifi-densepose-vitals`](../wifi-densepose-vitals) | Vital sign extraction from CSI |
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| [`wifi-densepose-hardware`](../wifi-densepose-hardware) | ESP32 and other hardware interfaces |
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| [`wifi-densepose-mat`](../wifi-densepose-mat) | Disaster detection using multi-AP data |
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## License
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MIT OR Apache-2.0
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