This project implements a secure, touchless access control system using voice-based authentication on a Boolean FPGA (Spartan-6). It combines Python-generated audio and Verilog-based FPGA design to analyze and compare dominant audio frequencies, allowing access only when the voice patterns match.

• Technology: Spartan-6 FPGA (Boolean Board), Verilog HDL, Python (gTTS, pydub), Vivado Design Suite
• Function: Uses FFT-based frequency analysis to compare a test voice against a stored reference and activates a servo motor if they match (simulates door unlock).
• Applications: Smart home access, secure labs, voice-based authentication systems

• Generates speech using Google Text-to-Speech (gTTS)
• Converts audio to 16-bit PCM and saves as .mem format

• Sends chunks via serial to FPGA
• Command protocol:
  • 'R' - Reference
  • 'T' - Test
  • 'D' - Display/Compare

• Stores .mem data into BRAM
• Simulates FFT by finding peak amplitude
• Compares frequencies within a 5% error margin
• Controls LEDs and Servo PWM based on result

• Match: 90deg (Unlocked) - All LEDs ON
• Mismatch: 0deg (Locked) - All LEDs OFF

• uart_rx.v: UART receiver
• uart_bram_led_servo.v: Main FSM, BRAM, FFT-mock logic, PWM generation
• servo_pwm.v: PWM signal for SG90 servo control
• fft_freq_compare.v: (optional advanced) frequency bin comparison

• Vivado Design Suite 2024.1 (Synthesis, Simulation, Implementation)
• Python: gTTS, pydub, numpy, pyserial
• Hardware: Boolean FPGA (Spartan-6), SG90 servo, USB-to-UART cable