Implemented real-time vibration signal acquisition and FFT based spectral analysis in MATLAB from an Arduino accelerometer system to detect earthquake-like signals in a noisy data set. I started with a simulated earthquake signal in MATLAB, and worked out a frequency domain bandpass filtering system to isolate for quick pulses within the frequency range for earthquake indicators. I then created an Arduino measurement tool with an accelerometer to collect data comparable to seismic data (albeit not with enough sensitivity to collect real seismic data. I set up a demonstration using marbles to simulate constant noise and a heavy metal sphere to represent a quick irregular signal as a parallel for real data. With the accelerometer sitting on a table where all the objects were poured out, the waveform was similar to seismic data. From there, I applied the same filtering functions with parameters optimized for the demo data. With the demo fully set up, I could determine through the accelerometer if the metal sphere was included in the signal or not, and at exactly what time it collided with the table.