Abstract

School/Department
Stevens Institute of Technology Department of Electrical and Computer Engineering

Project Name

Flock Force

Description

In today's urban landscape, the challenge of localizing and monitoring wireless signal sources is becoming increasingly critical. In high-profile venues with security concerns, such as protests, parades, conferences, government buildings, banks, and residences, the need for effective wireless monitoring becomes paramount. Flock Force is an integration and visualization platform developed to address the challenge of localizing and monitoring wireless signal sources both indoors and outdoors. Designed for use in densely populated areas and high-profile environments, Flock Force aims to deliver a versatile solution for mapping wireless transmitting devices in a user-friendly package. Flock Force distinguishes itself with its unified approach, seamlessly combining indoor and outdoor signal localization. The outdoor component of the projects localization system employs reliable localization techniques like Dynamic Beam Steering Direction Finding and Angle of Arrival (AoA) estimation to accurately estimate the 3D location of signals outdoors. In indoor spaces, the system utilizes Wi-Fi and Bluetooth fingerprinting, creating a database to recognize signal types and strengths in each room and utilizing pre-existing customer-owned commercial off-the-shelf (COTS) hardware to minimize installation costs. This data is then used to construct 2D maps, extendable to 3D by incorporating height measurements from existing Wi-Fi points and additional rooms. The outputs from both indoor and outdoor components converge to generate a robust 3D visualization platform integrated with mapping APIs, facilitating intuitive data interpretation for the end user. By offering a user-friendly solution for locating wireless devices in diverse settings, Flock Force enhances security measures and promotes safety in diverse settings by providing a user-friendly solution for locating wireless devices, safeguarding high-profile locations and addressing signal localization challenges through its integrated and cost-effective system.

Member(s)

Jacob Agbata

Ryan Alberti

Cesar Espejo

Terrence Meekins

Caleb Romero

Piotr Zelazny

Advisor(s)

Professor Tewodros A. Zewde, Stevens Institute of Technology

Tags (optional)

Wireless-Localization, SDR, Wi-Fi Fingerprinting