AI Case Study

US Army test computer vision for an enemy infrastructure recognition system in real-time

The US Army is testing using a machine learning visual recognition system which identify enemy equipment and threats from a distance, providing soldiers with a real-time warning system.

Industry

Public And Social Sector

Security

Project Overview

"Army soldiers are testing goggles with an image-recognition system that can automatically spot threats like tanks and warn the rest of the squad — or transmit the target data to a distant missile battery so they can take it out. The artificially intelligent target detection will be part of the Integrated Vision Augmentation System (IVAS), for which Microsoft’s HoloLens won a two-year, $480 million contract earlier this week."

Reported Results

Proof of concept; results not available

Technology

Details not available

Function

Strategy

Analytics

Background

"Years of “attention management” research on aircraft pilots show that people in combat hyperfocus on the threat in front of them and stop checking instrument displays — which is what you want them to do, rather than wander into combat staring down at a screen like an iPhone addict about to walk into an open manhole. So in Army testing, soldiers vastly prefer the IVAS [Integrated Vision Augmentation System] approach of putting vital data right in their field of vision."

Benefits

Data

Camera images