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ShotSpotter: Real-Time Gunshot Detection in Urban Noise
- Program: Electrical and Computer Engineering
- Course: EN.520.448 Electronic Design Lab (EDL)
- Year: 2025
Project Description:
This project implements an integrated hardware-software architecture to enable robust acoustic sensing. The deployed setup pairs the microphone with a Blues Cygnet microcontroller board, which digitizes and streams audio data to a PC via USB. The wireless Blues Notecard operates by connecting to local Wi-Fi, enabling real-time environmental sound capture and automatic cloud uploads for centralized processing. Acoustic features, such as Mel-Frequency Energy (MFE) coefficients, are extracted from the raw signals to train machine learning models that are capable of distinguishing gunshots from ambient noise.
Project Photo:
AK-47 was used as one of the gun types for this project
