Amazon Rekognition | Video Analytics Flashcards

1
Q

How can I give feedback to Rekognition to improve its text recognition?

Video Analytics

Amazon Rekognition | Machine Learning

A

Please send us your requests through AWS Customer Support. Amazon Rekognition continuously expands the types of text content recognized based on customer feedback.

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2
Q

How do Amazon Rekognition Video asynchronous APIs work?

Video Analytics

Amazon Rekognition | Machine Learning

A

Rekognition Video processes a video stored in an Amazon S3 bucket. The design pattern is an asynchronous set of operations. You start video analysis by calling a Start operation such as StartLabelDetection. The completion status of the request is published to an Amazon Simple Notification Service topic. To get the completion status from the Amazon SNS topic, you can use an Amazon Simple Queue Service queue or an AWS Lambda function. Once you have the completion status, you call a Get operation such as GetLabelDetection to get the results of the request.

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3
Q

What is Person Tracking?

Video Analytics

Amazon Rekognition | Machine Learning

A

With Rekognition Video, you can track each person within a shot and through the video across shots. Rekognition Video detects persons even when the camera is in motion and, for each person, returns a bounding box and the face, along with face attributes and timestamps. For security and surveillance applications, this makes investigation and monitoring of individuals easy and accurate. For retail applications, this allows to generate customer insights, such as how customers move across aisles in a shopping mall or how long they are waiting in checkout lines.

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4
Q

How can I analyze videos in real time?

Video Analytics

Amazon Rekognition | Machine Learning

A

In streaming mode, you can search faces against a collection with tens of millions of faces in real time. Rekognition Video face detection and face recognition APIs natively integrate with video stream from Amazon Kinesis Video Streams, a service that enables developers to transmit thousands of live feeds and associated metadata. For security applications, this makes real-time identification of Persons of Interest easy and accurate.

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