README.txt
Radical EcoSystem — Standalone Version (No Computer)
Author: Carlotta Premazzi
Program: Fabricademy 2025/2026
System Type: Autonomous Bio-Hybrid Installation
Project page: https://class.textile-academy.org/2026/carlotta-premazzi/project/
Website: https://www.cpdesignstudio.com/

Overview
This version operates as a self-contained ecosystem without a computer.
Plant activity and environmental data directly drive:
    • pneumatic movement
    • light behaviour
    • sound (generated internally by Pocket Scion)
The system is minimal, stable, and installation-ready.

Components
Inputs
    • Capacitive soil moisture sensor
    • Pocket Scion (audio output active)
    • MAX30105 (heartbeat)
Processing
    • Arduino UNO
Outputs
    • 2x air pumps (pneumatic flower)
    • Valve (air direction)
    • Addressable RGB LED strip (NeoPixel-compatible, 5V, 3-pin)
    • Audio output directly from Pocket Scion

Behaviour
    • Soil moisture → defines breathing state (DRY / OK / WET)
    • Pocket Scion → generates sound directly (no processing)
    • Heartbeat → adds rhythmic pulses to movement and light

Pin Map
    • Moisture sensor → A1
    • MAX30105 → SDA (A4), SCL (A5)
    • Pump IN → D10
    • Pump OUT → D11
    • Valve → D3
    • LED data → D5

Setup
    1 Connect sensors:
        ◦ Moisture → A1
        ◦ MAX30105 → SDA (A4), SCL (A5)
    2 Connect outputs:
        ◦ Pumps → D10 / D11
        ◦ Valve → D3
        ◦ LEDs → D5
    3 Audio:
        ◦ Connect Pocket Scion audio jack to speakers
    4 Power supply:
        ◦ 12V external power supply → pumps and pneumatic system
        ◦ 5V regulated supply → Arduino, sensors, and LED strip
        ◦ Common ground shared across the whole system

Notes
    • No laptop required
    • Fully autonomous behaviour
    • Designed for long-duration exhibition

Use Case
✔ Installations
✔ Exhibitions
✔ Low-maintenance setups


README.txt
Radical EcoSystem — Extended Version (Computer + Audio/Visual System)
Author: Carlotta Premazzi
Program: Fabricademy 2025/2026
System Type: Autonomous Bio-Hybrid Installation
Project page: https://class.textile-academy.org/2026/carlotta-premazzi/project/
Website: https://www.cpdesignstudio.com/

Overview
This version expands the system into an immersive audiovisual ecosystem.
Biological signals are processed and translated into:
    • generative sound (Web Audio / Pure Data)
    • real-time visuals (TouchDesigner)
    • enhanced reactive behaviour
The system integrates physical and digital layers, extending the installation into a spatial audiovisual environment.

Components
Inputs
    • Capacitive soil moisture sensor
    • Pocket Scion
    • MAX30105
Processing
    • Arduino UNO
    • Computer (Web Audio / Pure Data / TouchDesigner)
Outputs
    • Pneumatic flower (2x air pumps + valve)
    • Addressable RGB LED strip (NeoPixel-compatible, 5V, 3-pin)
    • Generative / spatial sound
    • Visual projections (TouchDesigner)

Behaviour
    • Soil moisture → defines breathing state (DRY / OK / WET)
    • Plant signals → modulate sound behaviour
    • Heartbeat → adds rhythmic pulses and increases system reactivity
    • Digital system → translates data into sound and visual dynamics

Pin Map
    • Moisture sensor → A1
    • MAX30105 → SDA (A4), SCL (A5)
    • Pump IN → D10
    • Pump OUT → D11
    • Valve → D3
    • LED data → D5

Data Flow
Arduino → Serial → Computer
Data includes:
    • Moisture level
    • Moisture state (DRY / OK / WET)
    • Heartbeat (BPM + trigger)
    • Plant signal intensity

Setup
Hardware
    • Same connections as standalone version
Software
    1 Upload Arduino code
    2 Open serial connection (57600 baud)
    3 Open Pocket Scion App
    4 Choose audio system:
        ◦ Web Audio (browser-based)
        ◦ Pure Data (sound engine)
    5 Open TouchDesigner:
        ◦ Receive serial / OSC data
        ◦ Map data to visuals

Notes
    • Requires computer, projector, and sound system
    • Higher expressive and visual complexity
    • Suitable for immersive and spatial installations

Use Case
✔ Immersive installations
✔ Festivals
✔ Multi-channel environments
✔ Research / data visualization