AWS Public Sector Blog

HAQM Rekognition Demo for Defense

Within the U.S. Department of Defense (DoD), commanders have more resources and capabilities to effect positive change and innovate for the future. To increase innovation across the DoD, AWS securely enables defense and national security missions with secure, scalable, and cost-efficient solutions.

Cloud can empower the Defense Department to create groundbreaking new tools to enable its mission. One of these tools is HAQM Rekognition.

HAQM Rekognition, an AWS Artificial Intelligence service, allows software developers to quickly and easily build applications that analyze images and recognize faces, objects, and scenes. HAQM Rekognition uses deep learning technologies to automatically identify objects and scenes and provides a confidence score that lets developers tag images so that application users can search for specific images using key words. HAQM Rekognition can locate faces within images and detect attributes, such as whether or not the face is smiling or the eyes are open. HAQM Rekognition also supports advanced facial analysis functionalities such as face comparison and facial search. Using HAQM Rekognition in AWS GovCloud (US), developers can build an application that measures the likelihood that faces in two images are of the same person, in near real-time.

Watch this demo to learn how to use AWS APIs and services like the Internet of Things, HAQM Simple Storage Service (HAQM S3), and AWS Lambda, along with HAQM Alexa skills, to bring HAQM Rekognition to the edge.

In this demo, Mike Colson creates an AWS Rekognition collection and uses an AWS Lambda function to determine if the image matches the collection watch list. Then an analyst will be notified with an IoT visual alert and the alert can be cleared through an HAQM Echo. Watch the video here to learn more about HAQM Rekognition for defense.