Autonomous Mobile Vision System for Terrorist Attack Prevention

Abstract

This paper consists of research into an autonomous mobile vision system with the ability to detect and prevent terrorist attacks. The system runs on a piece of computer vision software that can recognize common objects through a camera. A highly mobile spider-like platform was designed to move the camera through a crowded area, and multiple path planning algorithms are tested.