UCF Senior Design • Group 31

Smart Auto‑EQ Sound System

A sensor‑driven 2.1 speaker system that measures your room and auto‑equalizes playback in real time.

Auto‑EQ DSP LiDAR / ToF ESP32‑S3 2.1 Amplification

Project Overview

The Smart Auto‑EQ Sound System analyzes room acoustics with a calibrated microphone and LiDAR/ToF sensors, then applies an automatic EQ on an ESP32‑S3 to deliver consistent, high‑quality sound. A TPA3116D2‑based amplifier powers a 2.1 setup, with a desktop/mobile UI for live plots, manual overrides, and preset management.

Team

  • Xander Levine — CE (GUI / UX)
  • Noah Bixby — EE (PCB, Power, Amp)
  • Jordan Riley — EE (Amp, BT/USB, Sensors)
  • Matias Segura — CE (DSP & Auto‑EQ)

Review Committee

  • Mark Maddox — Instructor
  • Dr. Sonali Das — Lecturer
  • Dr. Maedeh Sadat Fasihi — Adjunct Lecturer

Mentor

Dr. Sreeram Sundaresh

Notes

Internal site for EEL 4914. Docs & milestones align with course guidelines.

System Targets
Frequency Response20 Hz – 20 kHz
THD≤ 0.5% @ rated power
Amplifier Output50 W (sub), 25 W (mid/high)
Latency≤ 20 ms
Compute / Sensors / Power
MCUESP32‑S3 (≥ 240 MHz, FPU/DSP)
LiDAR Accuracy≤ ±30 cm
Mic Accuracy≤ ±1 dB
Power Rails±12–24 V (audio), 5 V / 3.3 V (logic)

Hardware

  • ESP32‑S3 ↔ ADC/DAC ↔ TPA3116D2 amplifier stages
  • LiDAR/ToF on enclosures for geometry hints
  • Calibrated microphone for response capture
  • DC input → regulation → audio & logic rails

Software / DSP

  • Sweep / capture / FFT / EQ estimation (ESP‑DSP)
  • Auto‑EQ filter design (parametric / FIR / IIR)
  • Desktop/mobile UI: live plots, presets, manual override
  • Status LED: measuring, computing, done
Senior Design I
Divide & Conquer Document Midterm Milestone Report SD1 Final Report Mini Demo Video
Senior Design II
CDR Presentation Video CDR Presentation Slide Midterm Demonstration Video 8‑Page Conference Paper SD2 Final Report Final Presentation Video Final Presentation Slide Final Demonstration Video