Amazon Rekognition (AMS SSPS) - AMS Advanced User Guide

Amazon Rekognition (AMS SSPS)

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.

With Amazon Rekognition Custom Labels, you can identify objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the model development heavy lifting for you, so no machine learning experience is required. You simply need to supply images of objects or scenes you want to identify, and the service handles the rest.

To learn more, see Amazon Rekognition.

Amazon Rekognition in AWS Managed Services FAQs

Common questions and answers:

Q: How do I request access to Amazon Rekognition in my AMS account?

Request access by submitting a Management | AWS service | Self-provisioned service | Add (ct-3qe6io8t6jtny) change type. This RFC provisions the following IAM role to your account: customer_rekognition_console_role & customer_rekognition_service_role. Once provisioned in your account, you must onboard the role in your federation solution.

Q: What are the restrictions to using Amazon Rekognition in my AMS account?

Full functionality of Amazon Rekognition is available with the Amazon Rekognition self-provisioned service role.

Q: What are the prerequisites or dependencies to using Amazon Rekognition in my AMS account?

If you use Kinesis Video Streams that provide the source streaming video for an Amazon Rekognition Video stream processor or a data stream as a destination to write data to Kinesis Data Streams, kindly provide AMS with a kinesisStreamName when creating the RFC.