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assets/README.txt
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WiFi-Mat v3.2 - AI Thermal Monitor + WiFi CSI Sensing
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======================================================
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Embedded AI system combining thermal monitoring with WiFi-based
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presence detection, inspired by WiFi-DensePose technology.
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For Heltec ESP32-S3 with OLED Display
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CORE CAPABILITIES:
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------------------
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* Thermal Pattern Learning - Spiking Neural Network (LIF neurons)
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* WiFi CSI Sensing - Through-wall motion/presence detection
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* Breathing Detection - Respiratory rate from WiFi phase
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* Anomaly Detection - Ruvector-inspired attention weights
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* HNSW Indexing - Fast O(log n) pattern matching
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* Power Optimization - Adaptive sleep modes
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VISUAL INDICATORS:
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------------------
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* Animated motion figure when movement detected
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* Radar sweep with detection blips
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* Breathing wave visualization with BPM
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* Status bar: WiFi/Motion/Alert icons
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* Screen flash on anomaly or motion alerts
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* Dynamic confidence bars
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DISPLAY MODES (cycle with double-tap):
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--------------------------------------
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1. STATS - Temperature, zone, patterns, attention level
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2. GRAPH - Temperature history graph (40 samples)
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3. PTRNS - Learned pattern list with scores
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4. ANOM - Anomaly detection with trajectory view
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5. AI - Power optimization metrics
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6. CSI - WiFi CSI motion sensing with radar
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7. RF - RF device presence detection
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8. INFO - Device info, uptime, memory
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AI POWER OPTIMIZATION (AI mode):
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--------------------------------
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* Mode: ACTIVE/LIGHT/DEEP sleep states
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* Energy: Estimated power savings (0-95%)
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* Neurons: Active vs idle neuron ratio
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* HNSW: Hierarchical search efficiency
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* Spikes: Neural spike efficiency
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* Attn: Pattern attention weights
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WIFI CSI SENSING (CSI mode):
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----------------------------
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Uses WiFi Channel State Information for through-wall sensing:
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* MOTION/STILL - Real-time motion detection
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* Radar Animation - Sweep with confidence blips
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* Breathing Wave - Sine wave + BPM when detected
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* Confidence % - Detection confidence level
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* Detection Count - Cumulative motion events
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* Variance Metrics - Signal variance analysis
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Technology based on WiFi-DensePose concepts:
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- Phase unwrapping for movement detection
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- Amplitude variance for presence sensing
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- Frequency analysis for breathing rate
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- No cameras needed - works through walls
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BUTTON CONTROLS:
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----------------
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* TAP (quick) - Learn current thermal pattern
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* DOUBLE-TAP - Cycle display mode
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* HOLD 1 second - Pause/Resume monitoring
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* HOLD 2 seconds - Reset all learned patterns
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* HOLD 3+ seconds - Show device info
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INSTALLATION:
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-------------
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1. Connect Heltec ESP32-S3 via USB
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2. Run flash.bat (Windows) or flash.ps1 (PowerShell)
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3. Enter COM port when prompted (e.g., COM7)
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4. Wait for flash to complete (~60 seconds)
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5. Device auto-connects to configured WiFi
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REQUIREMENTS:
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-------------
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* espflash tool: cargo install espflash
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* Heltec WiFi LoRa 32 V3 (ESP32-S3)
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* USB-C cable
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* Windows 10/11
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WIFI CONFIGURATION:
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-------------------
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Default network: ruv.net
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To change WiFi credentials, edit source and rebuild:
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C:\esp\src\main.rs (lines 43-44)
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HARDWARE PINOUT:
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----------------
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* OLED SDA: GPIO17
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* OLED SCL: GPIO18
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* OLED RST: GPIO21
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* OLED PWR: GPIO36 (Vext)
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* Button: GPIO0 (PRG)
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* Thermal: MLX90614 on I2C
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TECHNICAL SPECS:
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----------------
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* MCU: ESP32-S3 dual-core 240MHz
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* Flash: 8MB
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* RAM: 512KB SRAM + 8MB PSRAM
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* Display: 128x64 OLED (SSD1306)
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* WiFi: 802.11 b/g/n (2.4GHz)
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* Bluetooth: BLE 5.0
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NEURAL NETWORK:
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---------------
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* Architecture: Leaky Integrate-and-Fire (LIF)
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* Neurons: 16 configurable
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* Patterns: Up to 32 learned
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* Features: 6 sparse dimensions
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* Indexing: 3-layer HNSW hierarchy
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SOURCE CODE:
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------------
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Full Rust source: C:\esp\src\main.rs
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WiFi CSI module: C:\esp\src\wifi_csi.rs
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Build script: C:\esp\build.ps1
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BASED ON:
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---------
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* Ruvector - Vector database with HNSW indexing
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* WiFi-DensePose - WiFi CSI for pose estimation
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* esp-rs - Rust on ESP32
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LICENSE:
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--------
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Created with Claude Code
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https://github.com/ruvnet/wifi-densepose
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