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Build a video processing pipeline by using Amazon Kinesis Video Streams and AWS Fargate

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This pattern demonstrates how to use Amazon Kinesis Video Streams and AWS Fargate to extract frames from a video stream and store them as image files for further processing in Amazon Simple Storage Service (Amazon S3). 

The pattern provides a sample application in the form of a Java Maven project. This application defines the AWS infrastructure by using the AWS Cloud Development Kit (AWS CDK). Both the frame processing logic and the infrastructure definitions are written in the Java programming language. You can use this sample application as a basis for developing your own real-time video processing pipeline or to build the video preprocessing step of a machine learning pipeline. 

https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/build-a-video-processing-pipeline-by-using-amazon-kinesis-video-streams-and-aws-fargate.html?did=pg_card&trk=pg_card

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Build a video processing pipeline by using Amazon Kinesis Video Streams and AWS Fargate