如何使用亚马逊Rekognition在流视频上执行面部识别？ [英] How to perform face recognition on a streaming video using amazon Rekognition?

问题描述

我正在流式传输来自树莓派的亚马逊运动学视频（已完成）。现在，我想使用Amazon Rekognition在该视频上执行面部检测/识别，该操作如何通过链接进行详细说明。谢谢

I am streaming video the amazon kinesis from raspberry pi (This is done). Now i want to perform face detection/recognition on that video using amazon Rekognition how to do it explain in detail with links. Thanks

推荐答案

来自使用流视频-Amazon Rekognition ：

您可以使用Amazon Rekognition Video可检测和识别流视频中的面部。典型的用例是当您要检测视频流中的已知面孔时。 Amazon Rekognition Video使用Amazon Kinesis Video Streams接收和处理视频流。分析结果从Amazon Rekognition Video输出到Kinesis数据流，然后由客户端应用程序读取。 Amazon Rekognition Video提供了一个流处理器（CreateStreamProcessor），您可以使用它启动和管理对流视频的分析。

You can use Amazon Rekognition Video to detect and recognize faces in streaming video. A typical use case is when you want to detect a known face in a video stream. Amazon Rekognition Video uses Amazon Kinesis Video Streams to receive and process a video stream. The analysis results are output from Amazon Rekognition Video to a Kinesis data stream and then read by your client application. Amazon Rekognition Video provides a stream processor (CreateStreamProcessor) that you can use to start and manage the analysis of streaming video.

在简单来说，您的应用程序会将视频发送到Amazon Kinesis Video。然后，它代表您调用Amazon Rekognition，并通过Amazon Kinesis流提供检测到的面部。您可以编写应用程序以使用此流并对检测到的人脸做出反应。视频要处理几秒钟的延迟。

In simple terms, your application sends video to Amazon Kinesis Video. It then calls Amazon Rekognition on your behalf and detected faces are provided via an Amazon Kinesis stream. You can write an application to consume this stream and react to faces detected. There is a delay of several seconds for the video to be processed.

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