Gunshot Detection System with the Use of Machine Learning 

Abstract

It is becoming more apparent that gun violence on innocent and unarmed citizens is becoming more frequent. With no clear-cut way to prevent gun violence, a system to become more prepared and to alert first responders can go a long way to save lives in danger. The purpose of our gunshot detection system is to sense a gunshot and provide its location to first responders and the public with no delay or human error. In this project, we design and build a gunshot detection system that accurately detects and notifies people of gunshots. The gun fire classification portion of the system makes use of an artificial neural network machine learning algorithm to detect the gunshot. It is imperative that the system be accurate and provide instant notification.

 

Team Members

Said Blanc Juan Bonalde Timothy Byrnes
 

Said Blanc
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Juan Bonalde
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Timothy Byrnes
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