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Arduino Powered Cascading LED Stair Lights & Real-Time Bass Visualizer

Arduino controlled cascading LED under stair lights. Makes use of ultrasonic sensors to detect if someone is walking by the top/bottom of a staircase. Cascades the lights on and off in the appropriate direction.

Additional functionality to act as a real-time bass visualizer. See example video below.

Check out the accompanying blog posts for this code for more info and examples:

Examples

Example Up

Example Down

Parts to Modify for Your Own Buid

Standard Mode:

  • led_pins[]: set to the specific pins to that will control individual LEDs.
  • num_lights: total number of stair lights.
  • Sensor pin numbers (sensor_bottom_trig, etc): set to the specific pins to that are used for the ultrasonic sensors.
  • lightup_time: if you're generally slow going up/down stairs, you'll want to lengthen this.
  • interlight_delay: ditto for this one. Going too large/small for this value will result in an awkwardly fast/slow animation.
  • cooldown_time: if you feel like the cooldown should be more generious, make this value larger.
  • Distance thresholds (distance_top < x and distance_bot < y): minimum distance needed to be picked up by the sensors to start the animation. The bundled uss-calibration.ino will help you get these values.

Music Mode:

  • mic_pin: pin number that microphone module is connected to.
  • num_lights_music: number of lights to be used in music mode.
  • noise_threshold: cude noise filter. Increase to decrease sensitivity, decrease for increased sensitivity.
  • amplitude_divisor & bin_multipliers: used to convert amount of bass to number of stairs to illuminate. I reccomend looking in the music_mode() function to see how they're used. Decrease amplitude_divisor to increase the number of stairs to illuminate. Modify bin_multipliers with new values to effect how different frequencies influence number of stairs to illuminate. I reccomend tuning both of these for your setup.
  • sample_count & sample_frequency: how many samples to use for the Fourier transform & what frequency to sample at. Your individual hardware will influence this. Take a look at this video for a deeper dive into these.