Do you remember the futuristic movie called Minority Report, taken from the famous novel by Philip K. Dick, where a system automatically recognizes customers entering the store? The future is now, thanks to the AI services offered by Amazon. In this talk we will show you how easy it is to create a person's automatic recognition system by simply invoking services on the cloud and using cheap device like a RaspberryPi. We will show how to set up a complete serverless architecture with AWS Lambda to execute your code and interact with AWS services like S3, Rekognition and Polly. We will show to you how is simple to integrate the AWS world with a RaspberryPi (or any other IoT devie) through the AWS API Gateway service. We will show you all these thing with a real demo with real device.. because the future is now! For this demo we are used a simple Raspberry Pi 3 Model B with the Camera borad V2 and Bright PI board v1, on which we have installed the linux distro Raspbian. With Python and OpenCV framework we are written a simple script that uses camera to detect faces, take the frames and send these to the Cloud. An API Rest, realized with AWS Api Gateway, is the entry point for the AWS world. After that an AWS Lambda function takes in charge the request and implements all the logic to save the photo on a S3 bucket and call AWS Rekognition to analyse and detect the face. The function try to associates metadata saved on a DynamoDB table with the data returned from AWS Rekognition service. With this data the Lambda creates a simple phrase with name and surname of the recognized person and a special charateristic revealed on the photo. Finally a call to AWS Polly, a text-to-speech service, is made to get the mp3 from the text. Then the audio file is returned to the API Rest call that was made by the RaspberryPi. Finally the device closes the loop with the play of this file.