Shulou(Shulou.com)05/31 Report--

This article is about how to build a face recognition App. I think it is very practical, so I share it with you. I hope you can get something after reading this article. Let's take a look at it.

Build an app for face recognition. The focus is not on face detection, but on server-less. The whole framework does not use any web container on EC2, only Lambda, S3, DynamoDB and Cognito.

Let's talk about the structure of the whole Server-less App. Put static resources on S3 and access Cognito through Javascript. In this way, picture upload is solved. The step of image processing is naturally given to Lambda, and an Event of ObjectCreated is created in Lambda, so that whenever S3 has a new image, Lambda Function will be called to write the processing result to DynamoDB, so that the step of image processing will be solved. Finally, the DynamoDB is displayed.

Lambda is still quite powerful, although it limits the memory and time to run, but developers do not need to care about infrastructure, high concurrency processing, and reduce the coupling degree of the system.

The above is how to build a face recognition App, the editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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