AI HOLOGRAM CO-INVESTIGATOR SERIES LIGHT BEFORE DARK

Описание: (C)John lenard walson c2026

1️⃣ Operating Platform

Primary Target:

Android (USB-C audio + external sensor support)

Development Options:

Native Android (Kotlin / Java)

Cross-platform C++ core + Android wrapper

2️⃣ Audio Engine Layer

Handles real-time capture and buffering.

Options:

Android AudioRecord API (low-level native access)

AAudio (lower latency, newer devices)

Oboe (Google’s high-performance audio library)

JUCE (cross-platform C++ audio framework)

Requirements:

24-bit WAV support

48kHz–96kHz sampling

Low-latency buffering

Stable clock reference

3️⃣ DSP (Digital Signal Processing) Layer

Core signal analysis engine.

Libraries / Tools:

FFTW (Fast Fourier Transform library)

KissFFT (lightweight FFT)

Intel IPP (if desktop processing involved)

Custom C++ DSP modules

Functions Required:

Real-time FFT

Spectrogram generation

Band-pass / high-pass filtering

Noise profiling

Envelope detection

Formant estimation (LPC)

Harmonic-to-noise ratio

4️⃣ Visual Rendering Engine

Transforms DSP output into real-time graphics.

Options:

Unity (C#) – strong for 3D and projection mapping

OpenGL ES (native Android rendering)

Vulkan (high performance)

Unreal Engine (if building immersive 3D space)

For projection systems → Unity is typically most practical.

5️⃣ Data Handling & Storage

Structured logging is critical.

Requirements:

WAV file generation (lossless PCM)

Timestamp metadata embedding

JSON session logs

CSV export for spectral data

Indexed session database (SQLite)

6️⃣ Optional Integration Modules

If expanding system:

• Acoustic camera SDK integration
• External USB microphone drivers
• Sensor input APIs (temperature, EMF, barometric)
• LiDAR depth APIs (if spatial mapping used)

7️⃣ Synchronisation System

All modules must share:

Unified clock source

Event timestamp precision (millisecond minimum)

Replay alignment system

Minimal Software Build (Phase 1)

If starting clean and focused:

• Android native app
• AudioRecord or Oboe capture
• Real-time FFT
• Live spectrogram
• Waveform display
• WAV export

Everything else can layer on top.

If you’d like, I can next provide:

• A recommended exact tech stack combination
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