AWS Machine Learning Blog

Category: HAQM Rekognition

Introducing an image-to-speech Generative AI application using HAQM SageMaker and Hugging Face

Vision loss comes in various forms. For some, it’s from birth, for others, it’s a slow descent over time which comes with many expiration dates: The day you can’t see pictures, recognize yourself, or loved ones faces or even read your mail. In our previous blogpost Enable the Visually Impaired to Hear Documents using HAQM […]

Build an image search engine with HAQM Kendra and HAQM Rekognition

In this post, we discuss a machine learning (ML) solution for complex image searches using HAQM Kendra and HAQM Rekognition. Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. With the internet, searching and obtaining an image has never been easier. Most […]

Detect real and live users and deter bad actors using HAQM Rekognition Face Liveness

Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and bot detection. These customers verify user identity by matching the user’s face in a selfie captured by a device camera with a government-issued identity card photo or preestablished profile photo. They […]

Automatic image cropping with HAQM Rekognition

Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Many publishers have a large library of stock images that they use for their articles. These images can be reused many times for different stories, especially when the […]

Automate HAQM Rekognition Custom Labels model training and deployment using AWS Step Functions

With HAQM Rekognition Custom Labels, you can have HAQM Rekognition train a custom model for object detection or image classification specific to your business needs. For example, Rekognition Custom Labels can find your logo in social media posts, identify your products on store shelves, classify machine parts in an assembly line, distinguish healthy and infected […]

How to decide between HAQM Rekognition image and video API for video moderation

Almost 80% of today’s web content is user-generated, creating a deluge of content that organizations struggle to analyze with human-only processes. The availability of consumer information helps them make decisions, from buying a new pair of jeans to securing home loans. In a recent survey, 79% of consumers stated they rely on user videos, comments, […]

Chronomics detects COVID-19 test results with HAQM Rekognition Custom Labels

Chronomics is a tech-bio company that uses biomarkers—quantifiable information taken from the analysis of molecules—alongside technology to democratize the use of science and data to improve the lives of people. Their goal is to analyze biological samples and give actionable information to help you make decisions—about anything where knowing more about the unseen is important. […]

Improve scalability for HAQM Rekognition stateless APIs using multiple regions

In previous blog post, we described an end-to-end identity verification solution in a single AWS Region. The solution uses the HAQM Rekognition APIs DetectFaces for face detection and CompareFaces for face comparison. We think of those APIs as stateless APIs because they don’t depend on an HAQM Rekognition face collection. They’re also idempotent, meaning repeated […]

Metrics for evaluating an identity verification solution

Globally, there has been an accelerated shift toward frictionless digital user experiences. Whether it’s registering at a website, transacting online, or simply logging in to your bank account, organizations are actively trying to reduce the friction their customers experience while at the same time enhance their security, compliance, and fraud prevention measures. The shift toward […]

AWS Cloud technology for near-real-time cardiac anomaly detection using data from wearable devices

Cardiovascular diseases (CVDs) are the number one cause of death globally: more people die each year from CVDs than from any other cause. The COVID-19 pandemic made organizations change healthcare delivery to reduce staff contact with sick people and the overall pressure on the healthcare system. This technology enables organizations to deliver telehealth solutions, which […]