A 32-band audio spectrum visualizer, made with Raspberry Pi's RP2040. It can pick up and analyze the spectrum through an electret microphone. Just place this gadget near your audio speaker, it could visualize the spectrum on a 32x8 LED dot matrix display at 70 fps. Please check the detailed documentation and code at: https://github.com/megatops/arduino_toys/tree/main/spectrum
Audio Engineering: 32-Band Visualizer
The Audio Spectrum Visualizer is a breathtaking project that turns a complex mathematical equation (the Fast Fourier Transform) into a hypnotic light show on an LED matrix.
The Fast Fourier Transform (FFT)
When music plays, it's a messy wave of overlapping frequencies. The Arduino must "un-mix" the song in real-time.
- Sampling: The analog pin reads the audio wave from a microphone 10,000 times a second.
- The Algorithm: The FFT algorithm sorts those messy waves into "Bins."
- The Bins: Bin 1 is low Bass (20-60Hz), Bin 5 is Vocals (300Hz), and Bin 30 is Treble (10kHz+).
- Drawing: The Arduino maps the volume of each bin to the height of a bar graph on an LED screen (like an MSGEQ7 setup or using an LED Matrix).
Hardware Components
- Arduino Uno/Mega: Requires fast processing.
- MAX7219 Dot Matrix Modules (x4 or x8): Or WS2812B NeoPixel strips to act as the massive visual display screen.
- MAX4466 Microphone Amplifier: To pull the audio from the room.
- Optional: An MSGEQ7 IC, which is a special hardware chip that performs the frequency splitting automatically, saving the Arduino massive processing power.
This project sits proudly on any desk or entertainment center, proving that deep math can yield beautiful art.