Imagine you work for a marketing agency that has tens of thousands of stock images. You find that many images don't have descriptive file names and others are completely mislabeled. You don't want to spend hours and hours relabeling them and moving them around to different folders. But what if you could find the images you need without relying on metadata? In this blog post, we will review an end-to-end solution to show you how to do this using Amazon Rekognition.
What to expect • Quick intro • 3 demo applications • Polly • Rekognition • MXnet • Wrap up. 4. 2017, Amazon Web Services, Inc. or its Affiliates. Event driven A B CEvent on B by A triggers C Invocation Lambda functions Action 6. 2017, Amazon Web Services, Inc. or its Affiliates. How Lambda works S3 event notifications DynamoDB Streams Kinesis events Cognito events SNS events Custom events CloudTrail events LambdaDynamoDB Kinesis S3 Any custom Invoked in response to events - Changes in data - Changes in state Redshift SNS Access any service, including your own Such as… Lambda functions CloudWatch events 7. 2017, Amazon Web Services, Inc. or its Affiliates. No servers to provision or manage Scales with usage Never pay for idle Availability and fault tolerance built in Serverless means… 9. 2017, Amazon Web Services, Inc. or its Affiliates. EVENT DRIVEN CONTINUOUS SCALING PAY BY USAGE Serverless means… 10. 2017, Amazon Web Services, Inc. or its Affiliates.
Amazon Rekognition makes it easy to detect, search for, and compare faces in images to find matches. In this post, we show how to use Amazon Rekognition to find distinct people in a video and identify the frames that they appear in. You could use face detection in videos, for example, to identify actors in a movie, find relatives and friends in a personal video library, or track people in video surveillance. First, we explain how the serverless solution finds distinct people in a video. Then, we explain how to implement the solution in your AWS account with AWS CloudFormation and to test it with a sample video.
You can't just assume that when an application reads each letter of a sentence that the output will make sense. Amazon Polly provides speech synthesis functionality that overcomes those challenges, allowing you to focus on building applications that use text-to-speech instead of addressing interpretation challenges. Amazon Polly turns text into lifelike speech. It lets you create applications that talk naturally, enabling you to build entirely new categories of speech-enabled products. Amazon Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.