WiFi-Mat v3.2 - AI Thermal Monitor + WiFi CSI Sensing

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Embedded AI system combining thermal monitoring with WiFi-based

presence detection, inspired by WiFi-DensePose technology.

For Heltec ESP32-S3 with OLED Display

CORE CAPABILITIES:

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* Thermal Pattern Learning - Spiking Neural Network (LIF neurons)

* WiFi CSI Sensing - Through-wall motion/presence detection

* Breathing Detection - Respiratory rate from WiFi phase

* Anomaly Detection - Ruvector-inspired attention weights

* HNSW Indexing - Fast O(log n) pattern matching

* Power Optimization - Adaptive sleep modes

VISUAL INDICATORS:

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* Animated motion figure when movement detected

* Radar sweep with detection blips

* Breathing wave visualization with BPM

* Status bar: WiFi/Motion/Alert icons

* Screen flash on anomaly or motion alerts

* Dynamic confidence bars

DISPLAY MODES (cycle with double-tap):

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1. STATS - Temperature, zone, patterns, attention level

2. GRAPH - Temperature history graph (40 samples)

3. PTRNS - Learned pattern list with scores

4. ANOM - Anomaly detection with trajectory view

5. AI - Power optimization metrics

6. CSI - WiFi CSI motion sensing with radar

7. RF - RF device presence detection

8. INFO - Device info, uptime, memory

AI POWER OPTIMIZATION (AI mode):

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* Mode: ACTIVE/LIGHT/DEEP sleep states

* Energy: Estimated power savings (0-95%)

* Neurons: Active vs idle neuron ratio

* HNSW: Hierarchical search efficiency

* Spikes: Neural spike efficiency

* Attn: Pattern attention weights

WIFI CSI SENSING (CSI mode):

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Uses WiFi Channel State Information for through-wall sensing:

* MOTION/STILL - Real-time motion detection

* Radar Animation - Sweep with confidence blips

* Breathing Wave - Sine wave + BPM when detected

* Confidence % - Detection confidence level

* Detection Count - Cumulative motion events

* Variance Metrics - Signal variance analysis

Technology based on WiFi-DensePose concepts:

- Phase unwrapping for movement detection

- Amplitude variance for presence sensing

- Frequency analysis for breathing rate

- No cameras needed - works through walls

BUTTON CONTROLS:

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* TAP (quick) - Learn current thermal pattern

* DOUBLE-TAP - Cycle display mode

* HOLD 1 second - Pause/Resume monitoring

* HOLD 2 seconds - Reset all learned patterns

* HOLD 3+ seconds - Show device info

INSTALLATION:

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1. Connect Heltec ESP32-S3 via USB

2. Run flash.bat (Windows) or flash.ps1 (PowerShell)

3. Enter COM port when prompted (e.g., COM7)

4. Wait for flash to complete (~60 seconds)

5. Device auto-connects to configured WiFi

REQUIREMENTS:

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* espflash tool: cargo install espflash

* Heltec WiFi LoRa 32 V3 (ESP32-S3)

* USB-C cable

* Windows 10/11

WIFI CONFIGURATION:

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Default network: ruv.net

To change WiFi credentials, edit source and rebuild:

C:\esp\src\main.rs (lines 43-44)

HARDWARE PINOUT:

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* OLED SDA: GPIO17

* OLED SCL: GPIO18

* OLED RST: GPIO21

* OLED PWR: GPIO36 (Vext)

* Button: GPIO0 (PRG)

* Thermal: MLX90614 on I2C

TECHNICAL SPECS:

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* MCU: ESP32-S3 dual-core 240MHz

* Flash: 8MB

* RAM: 512KB SRAM + 8MB PSRAM

* Display: 128x64 OLED (SSD1306)

* WiFi: 802.11 b/g/n (2.4GHz)

* Bluetooth: BLE 5.0

NEURAL NETWORK:

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* Architecture: Leaky Integrate-and-Fire (LIF)

* Neurons: 16 configurable

* Patterns: Up to 32 learned

* Features: 6 sparse dimensions

* Indexing: 3-layer HNSW hierarchy

SOURCE CODE:

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Full Rust source: C:\esp\src\main.rs

WiFi CSI module: C:\esp\src\wifi_csi.rs

Build script: C:\esp\build.ps1

BASED ON:

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* Ruvector - Vector database with HNSW indexing

* WiFi-DensePose - WiFi CSI for pose estimation

* esp-rs - Rust on ESP32

LICENSE:

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Created with Claude Code

https://github.com/ruvnet/wifi-densepose