The Problem
- The United States Air Force (USAF) needs a faster way
to analyze video feeds to support post-disaster relief efforts after
natural disasters such as hurricanes, tornadoes, floods, and
earthquakes. Quicker and more automated methods are needed to free up
human resources and to leverage the technological performance of
automated tools to identify anomalies in video footage to aid first
responders in giving assistance to those who need it most.
- The Solution
- This project will focus on defining a concept of operations
(CONOPS) for a software system to process and analyze twelve hours of
video for the purpose of disaster relief. The main deliverable for the
project will be a CONOPS document and a minimum of 2 alternatives to
recommend for executing the task. The project is only concerned with
defining how the software system should work.