PI 2 ENGINE • PHOTONIC SYNC

Orchestrate light shows with AI precision on silicon.

Connect WLED, Govee, and DMX rigs to your Raspberry Pi 2. Our AI engine decomposes audio frequencies in real-time for high-tech, low-latency light shows.

<12msUDP Latency
500+Light Nodes
99.9%Sync Accuracy
Hardware Pipeline
NODE: PI2-CORE-01
Live (12ms)
HARDWARE NODE TELEMETRYSYNC STABLE

WLED UDP Broadcast

Confidence: 99.98%

Active

12ms

FFT Audio Analysis

Confidence: 99.94%

Synced

18ms

DMX Art-Net Bridge

Confidence: 100%

Stable

08ms

bridge.config.jsonUDP BROADCAST

"mode": "FFT_SYNC",

"latency": "LOW",

"universe": 0.0012

ARMv7 Optimized
Get Support
Hardware & Protocol Stack

Engineered for high-tech light shows.

Seamless integration across WLED, Govee, and DMX rigs, powered by optimized edge computing on your Raspberry Pi 2.

UDP Protocol
WLED Controller Link
Direct integration with WLED controllers for sub-10ms light show synchronization across your entire LED array.
System Log8ms Latency

Syncing Art-Net universe 0 to WLED output.

WLED Node: OnlinePacket Stability: 99.9%
Hardware Load98%
Local ExecutionView Docs
Local API
Govee LAN Control
Native LAN communication with Govee smart lights, bypassing cloud lag for instantaneous color transitions.
System Log0ms Cloud Lag

Govee LAN discovery complete. 4 zones.

Govee Bridge: ReadyLAN Discovery: Active
Hardware Load95%
Local ExecutionView Docs
Pro DMX
DMX Art-Net Engine
Professional-grade Art-Net output for complex DMX stage lighting rigs, managed directly from your Pi 2.
System LogNative Pipeline

Mapping DMX channels to audio transients.

DMX Universe: 1 ActiveUniverse Throughput: 512
Hardware Load92%
Local ExecutionView Docs
Edge Silicon
Raspberry Pi 2 Core
Optimized ARMv7 kernel for high-performance audio frequency decomposition and real-time photonic execution.
System LogEncrypted On-Device

FFT analysis running on 4-core thread.

Kernel: Real-TimeCPU Load: 14% Average
Hardware Load89%
Local ExecutionView Docs

Ready to build your light show?

Deploy the LUMINA stack to your Pi 2 in minutes.

Engine Pipeline

AI Sound Engine Architecture

A high-performance pipeline that transforms raw audio into synchronized light shows using real-time frequency analysis and neural mapping.

STAGE 010ms Latency
Audio Signal Ingestion
The engine samples incoming audio streams at high resolution, isolating sub-bass, mid-range, and treble transients for immediate processing.

Execution Protocol

  • Initialize high-speed buffer stream
  • Isolate FFT frequency bands
  • Normalize gain for peak detection
Sample Rate
48kHz
Stable stream
Buffer Load
2.4ms
Low overhead

Zero-Latency Processing

Optimized for Raspberry Pi 2 hardware to ensure real-time photonic execution.

System Telemetry
Efficiency: 100%
Signal In
1.55
Raw Data
System Load
0.00
Processing
Photonic Out
1.55
Light Output
Packet Transmission Log
Live Status
IDDescriptionValue
FFT-01Sub-Bass 20-120Hz+0.98
FFT-02Mid-Range 500-2kHz+0.42
FFT-03Treble 5kHz++0.15

Ready to build your light show?

Connect your WLED controllers and start streaming high-tech light shows today.

SYSTEM ARCHITECTURE MATRIX

Engineered telemetry against legacy lighting controls.

See how LUMINA’s neural audio analysis compares to manual cue consoles and standard consumer sound-reactive LED strips running on real hardware.

Art-Net / sACN Throughput

44.1 kHzLIVE

FFT Resolution Rate

Pi 2 CPU Allocation

14.2%LIVE

Optimized ARMv7 C++ Core

Audio Jitter Buffer

1.8 msLIVE

Deterministic Timing

BENCHMARK MATRIX: v2.4-STABLE / ARMv7
LUMINA Engine Standard DMX / Strips
Execution Parameter
LUMINA AI EnginePi 2 Ready
Manual DMX DeskSound-Reactive LED
Multi-universe output
Art-Net, sACN E1.31, DMX512 & WLED UDP packet broadcast
64+ Universes (Synchronized)
1-4 Universes (Hardware bound)
0 Universes (Single strand)
Latency timing
Live audio FFT input to physical LED emission pipeline
< 8.4 ms (Bare-metal Pi 2)
35 – 120 ms (Human cue delay)
40 – 80 ms (Hardware mic lag)
Adaptive genre recognition
Real-time tempo, drop prediction, and harmonic timbre mapping
Neural FFT (Instantaneous)
null (Static pre-programmed)
Analog peak detect only
Hardware footprint
Host requirements and continuous power consumption
Raspberry Pi 2 ($15 / 2.5W)
Dedicated Console / PC rig (250W+)
Embedded microcontroller
Cross-brand protocol bridging
Simultaneous execution across Govee, WLED, and DMX heads
Unified bus translation
Vendor locked / patch required
Proprietary RF / Bluetooth only
Setup & calibration time
Time needed to prepare a full live music lighting set
Zero config (Zero cue plotting)
15 – 40 hours cue sequencing
Plug-and-play (No automation)
Tested on Raspberry Pi 2 Model B running 512MB RAM with WLED v0.14 & DMX Art-Net nodes.
Hardware & Protocol FAQ

Technical Setup & Integration

Answers regarding Raspberry Pi 2 performance, network latency, and multi-protocol light show synchronization.

5 Technical Benchmarks

Yes, the Pi 2 ARMv7 architecture is sufficient for Art-Net to DMX conversion with optimized UDP buffers.

GPIO.pyCode Snippet
import socket
def send_dmx(universe, data):
    sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    packet = bytearray([0x41, 0x72, 0x74, 0x2d, 0x4e, 0x65, 0x74])
    # ... packet construction ...
    sock.sendto(packet, ("192.168.1.50", 6454))
Technical Note: By offloading packet construction to a dedicated thread, the Pi 2 maintains sub-15ms latency. We bypass heavy UI rendering to ensure the CPU cycles are reserved for photonic timing and network throughput.

System Architecture

Core components for high-performance light show execution:

HardwarePi 2

ARMv7 optimized for low-latency UDP broadcast.

ProtocolsArt-Net

Standardized DMX universe transmission.

AudioFFT

Real-time frequency band decomposition.

Latency:<15ms
Sync:UDP Broadcast
Status:Active
Optimization Tips

Ensure your network is on a dedicated 5GHz channel to minimize packet loss during high-intensity light shows.

Pro-grade adviceContact Us
Lumina Engine v2.4

Build your high-tech light show

Transform your Raspberry Pi 2 into a professional lighting controller. Sync any song with WLED, Govee, and DMX hardware using our AI-powered frequency decomposition engine.

Open source
No cloud required
DMX compatible

AI-Driven Sync

Real-time audio analysis maps beats to light pulses with sub-millisecond precision.

Edge Processing

Runs locally on your Pi 2, ensuring zero-latency performance without cloud lag.

Universal Control

Native support for WLED, Govee, and DMX Art-Net protocols in one interface.

<12ms
UDP Latency
100+
Light Nodes
Open
Source Code