SENTRY

Research Assistant
Project Overview
SENTRY, Soft Target Engineering to Neutralize the Threat Reality, detects possible hazards in crowded, public areas. We worked under the Department of Homeland Security to develop AI technology to detect such threats.
My Contributions
I was selected as an UPLIFT scholar, as one of 38 participants, working under a research professor. I primarily worked in MATLAB outlining 75 different images to train the radar system, which had the goal of detecting potential hazards in crowded areas.
Hundreds of thousands of soft targets and crowded spaces exist in the United States, accessed by tens of millions of people each day. This vast volume of people, complex and varied venues, and often limited security or protective measures make these spaces vulnerable to attack by terrorists or targeted violence.

Three recent changes have intensified this risk: a more diverse set of actors and motivations for attacks, communication advances that have compressed the timeline for the detection and prevention of violence, and broader access to weapons. Soft targets and crowded spaces frequently straddle the public-private domain, and insufficient numbers of homeland security professionals are equipped with the training required to address these risks.
SENTRY 
Source: https://sentry.northeastern.edu/overview/