AI as a Service: the future has never been so simple with cloud
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.
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AI as a Service: the future has never been so simple with cloud
- 1. AI AS A SERVICE: THE FUTURE HAS NEVER BEEN SO SIMPLE WITH CLOUD Emiliano Pecis, Gabriele Stella e Andrea Mercanti | Storm Reply
- 2. MEETING AGENDA AI AS A SERVICE 1 AWS Artificial Intelligence 2 Amazon Rekognition 3 Amazon Polly 4 Serverless Framework 5 Storm Face Recognition Platform 6 Rekognition Use Cases 7 What Else?
- 3. AWS ARTIFICIAL INTELLIGENCE LEARN, SEE, SPEAK, WRITE MACHINE LEARNING REKOGNITION POLLY LEX
- 5. AMAZON REKOGNITION DEEP LEARNING-BASED IMAGE RECOGNITION SERVICE. SEARCH, VERIFY, TAG AND ORGANIZE MILLIONS OF IMAGES OBJECT AND SCENE DETECTION FACIAL ANALYSIS FACE COMPARISON FACIAL RECOGNITION
- 6. AMAZON REKOGNITION OBJECT AND SCENE DETECTION
- 7. AMAZON REKOGNITION FACE DETECTION AND ANALYSIS
- 10. AMAZON POLLY TEXT TO SPEECH POWERED BY DEEP LEARNING TEXT IN, LIFE-LIKE SPEECH OUT She improves day after day!
- 11. The Only Limit Is Your Imagination REKOGNITION USE CASES
- 12. REKOGNITION USE CASES RETAIL – DEMOGRAPHIC AND SENTIMENT ANALYSIS Rekognition can detect emotions like happy, sad, or surprised from facial images
- 13. REKOGNITION USE CASES FACE-BASED USER VERIFICATION Applications can confirm user identities by comparing their live image with a reference image
- 14. REKOGNITION USE CASES WEBSITES - IMAGE MODERATION Automatically detect inappropriate content in images using the Image Moderation API
- 15. REKOGNITION USE CASES REAL ESTATE – IMAGE CLASSIFICATION Rekognition makes images searchable so you can discover objects and scenes that appear within them.
- 16. REKOGNITION USE CASES In law enforcement, it is extremely important to identify persons of interest quickly. In Washington County, Oregon, there are nearly 20,000 different bookings (when a person is processed into the jail) every year. As time passes, officers’ memories of individual bookings fade. • 300.000+ images of previous offenders indexed in 2 days • Face match reduced from multiple days to seconds • First suspect identified within first week IDENTIFY PERSONS OF INTEREST FOR LAW ENFORCEMENT Ref. https://aws.amazon.com/it/blogs/ai/using-amazon-rekognition-to-identify-persons-of-interest-for-law-enforcement/
- 17. The future is really simple with Amazon FACE RECOGNITION PLATFORM
- 18. FACE RECOGNITION PLATFORM RASPBERRY PI 3, CAMERA BOARD AND OPENCV
- 19. AWS SERVERLESS FRAMEWORK NO SERVER, NO PAIN API GATEWAY LAMBDA DYNAMODB S3
- 20. FACE RECOGNITION PLATFORM ARCHITECTURAL OVERVIEW
- 21. API GATEWAY LAMBDA REKOGNITION DYNAMODB POLLY FACE RECOGNITION PLATFORM A DEEP DIVE IN THE LOGIC CUSTOM API Return mp3 file Return mp3 file Return face metadata Return face matching Trigger Return REKOGNITION API DYNAMODB API POLLY API
- 22. DOES IT REALLY WORK!? WHAT ELSE?
- 23. THANK YOU www.reply.com STORM REPLY Torino – Milano – Roma