Amazon Rekognition

Automate and lower the cost of your image recognition and video analysis with ML

Benefits of Amazon Rekognition

Quickly add pretrained or customizable computer vision APIs to your applications without building machine learning (ML) models and infrastructure from scratch.

Analyze millions of images, video streams, and stored videos within seconds, and augment human review tasks with AI.

Scale up and down based on your business needs with fully managed AI capabilities and pay only for the images and videos you analyze.

Why Amazon Rekognition?

Learn how Amazon Rekognition can help your business and development teams to solve your most pressing computer vision needs—with no ML skills required and at a lower cost.

Features

Face liveness

Face liveness

Detect real users and deter bad actors using spoofs in seconds during facial verification.
Face detection and analysis

Face detection and analysis

Detect faces appearing in images and videos and recognize attributes, such as open eyes, glasses, and facial hair, for each face.
Custom labels

Custom labels

Detect custom objects, such as brand logos, using automated machine learning (AutoML) to train your models with as few as 10 images.
Text detection

Text detection

Extract skewed and distorted text from images and videos of street signs, social media posts, and product packaging.
Face compare and search

Face compare and search

Determine the similarity of a face against another picture or from your private image repository.
Content moderation

Content moderation

Detect potentially unsafe, inappropriate, or unwanted content across images and videos.

More features

Labels

Labels

Detect objects, scenes, activities, landmarks, dominant colors, and image quality.
Celebrity recognition

Celebrity recognition

Identify well-known people to catalog photos and footage for media, marketing, and advertising.
Video segment detection

Video segment detection

Detect key segments in videos, such as black frames, start or end credits, slates, color bars, and shots.

Use cases

Quickly and accurately identify unsafe or inappropriate content across image and video assets based on general or business-specific standards and practices.

Use facial comparison and analysis in your user onboarding and authentication workflows to remotely verify the identity of opted-in users.

Automatically detect key video segments to reduce the time, effort, and costs of video ad insertion, content operations, and content production.

Deliver timely and actionable alerts when a desired object is detected in your live video streams. Create home automation experiences, such as automatically turning on a light when a person is detected.


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