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.