Analyze live video at scale in real-time using Amazon Kinesis Video Streams and Amazon SageMaker
You can now analyze live video at scale in real time using the Amazon Kinesis Video Streams Inference Template (KIT) for Amazon SageMaker. The KIT enables you to build scalable, real-time, ML-driven video analytics pipelines without using other libraries or writing custom software. You can attach Kinesis video streams to Amazon SageMaker endpoints in minutes and quickly deploy your machine learning algorithms to analyze live video feeds on the AWS Cloud.
You can now analyze live video at scale in real time using the Amazon Kinesis Video Streams Inference Template (KIT) for Amazon SageMaker. The KIT enables you to build scalable, real-time, ML-driven video analytics pipelines without using other libraries or writing custom software. You can attach Kinesis video streams to Amazon SageMaker endpoints in minutes and quickly deploy your machine learning algorithms to analyze live video feeds on the AWS Cloud.
The KIT contains the Kinesis Video Consumer Library software packaged as a Docker container and an AWS CloudFormation template that automates the deployment of all required AWS resources. The KIT also comes with a step-by-step example of integrating Amazon Kinesis Video Streams to Amazon SageMaker.
Amazon Kinesis Video Streams makes it easy to securely stream audio, video, and related metadata from connected devices to AWS for analytics, machine learning (ML), playback, and other processing. Amazon SageMaker is the managed platform for developers and data scientists to build, train, and deploy ML models quickly and easily.
To learn more about Amazon Kinesis Video Streams Inference Template, refer to our documentation.
Refer to the AWS Region Table for Amazon Kinesis Video Streams availability.