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AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Lex (MAC304)
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AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

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This session will introduce you to Amazon Rekognition, a new service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API lets you easily build powerful visual search and discovery into your applications. With Amazon Rekognition, you only pay for the images you analyze and the face metadata you store. There are no minimum fees and there are no upfront commitments.

To get started with Rekognition, simply log in to the Rekognition console to try the service with sample photos or your own photos. Join this session and learn more about Amazon Rekognition!

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AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203)

  1. 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Ranju Das November 30, 2016 NEW LAUNCH! Introducing Amazon Rekognition Easy-to-Use Deep Learning-based Image Recognition MAC203
  2. 2. Images – universal, ubiquitous, & essential
  3. 3. Images – explosive growth trends Source: InfoTrends Worldwide Consumer Photos Captured and Stored. 2013 -2017 prepared for Mylio.
  4. 4. Images – explosive growth trends Amazon S3 – Images Stored
  5. 5. Amazon Rekognition Deep learning-based image recognition service Search, verify, and organize millions of images Object and Scene Detection Facial Analysis Face Comparison Facial Recognition
  6. 6. Amazon Rekognition API DetectLabels Object and Scene Detection Detect objects, scenes, and concepts in images
  7. 7. Amazon Rekognition API DetectLabels { "Confidence": 94.62968444824219, "Name": "adventure" }, { "Confidence": 94.62968444824219, "Name": "boat" }, { "Confidence": 94.62968444824219, "Name": "rafting" }, . . .
  8. 8. Object and Scene Detection Flower ChairCoffee Table Living Room Indoors
  9. 9. Object and Scene Detection Maple Villa Plant Garden Water Swimming Pool Tree Potted Plant Backyard
  10. 10. Using Rekognition Object and Scene Detection  Photo-sharing apps can power smart searches and quickly find cherished memories, such as weddings, hiking, or sunsets.  Vacation rental markets can automatically label host- uploaded images with tags, such as fireplace, kitchen, or swimming pool.  Travel sites and forums can classify user generated images with labels such as beach, camping, or mountains.
  11. 11. Object and Scene Detection – Use Case Dynamic Search Indexing AMAZON ELASTICSEARCH AMAZON S3
  12. 12. Amazon Rekognition API Facial Analysis Detect face and key facial characteristics DetectFaces
  13. 13. Amazon Rekognition API [ { "BoundingBox": { "Height": 0.3449999988079071, "Left": 0.09666666388511658, "Top": 0.27166667580604553, "Width": 0.23000000417232513 }, "Confidence": 100, "Emotions": [ {"Confidence": 99.1335220336914, "Type": "HAPPY" }, {"Confidence": 3.3275485038757324, "Type": "CALM"}, {"Confidence": 0.31517744064331055, "Type": "SAD"} ], "Eyeglasses": {"Confidence": 99.8050537109375, "Value": false}, "EyesOpen": {Confidence": 99.99979400634766, "Value": true}, "Gender": {"Confidence": 100, "Value": "Female”} DetectFaces
  14. 14. Demographic Data Facial Landmarks Sentiment Expressed Image Quality Facial Analysis General Attributes
  15. 15. Demographic Data Facial Landmarks Sentiment Expressed Image Quality Facial Analysis Brightness: 25.84 Sharpness: 160 General Attributes
  16. 16. Using Rekognition Facial Analysis  Photo printing service can recommend the best photos to their users  Online dating applications can improve their match recommendations using face attributes  Retail businesses can understand the demographics and sentiment of in-store customers  Ad-tech services can display dynamic and personalized content to customers
  17. 17. Facial Analysis - Use Case (Retail – In-store and Online) Demographic and Sentiment Analysis Female Happy Smiling Male No Facial Hair Happy Female Sad No Eyeglasses
  18. 18. Facial Analysis - Use Case (Retail – In store and Online) Demographic and Sentiment Analysis AMAZON S3AMAZON REDSHIFTAMAZON QUICKSIGHT
  19. 19. Look Your Best All Day Time for A New Look? Facial Analysis - Use Case (Targeted Marketing) Demographic and Sentiment Analysis PersonAPersonB Sees Sees
  20. 20. Facial Analysis - Use Case (Targeted Marketing) Demographic and Sentiment Analysis demographic and sentiment attributes Look Your Best All Day Application AMAZON REDSHIFT AMAZON DYNAMODBAMAZON S3 log demographic profile updates retrieve ad image face image is collected and analyzed AMAZON REKOGNITION DetectFaces
  21. 21. CompareFaces Amazon Rekognition API Face Comparison Face-based user verification
  22. 22. Amazon Rekognition API CompareFaces { "FaceMatches": [ {"Face": {"BoundingBox": { "Height": 0.2683333456516266, "Left": 0.5099999904632568, "Top": 0.1783333271741867, "Width": 0.17888888716697693}, "Confidence": 99.99845123291016}, "Similarity": 96 }, {"Face": {"BoundingBox": { "Height": 0.2383333295583725, "Left": 0.6233333349227905, "Top": 0.3016666769981384, "Width": 0.15888889133930206}, "Confidence": 99.71249389648438}, "Similarity": 0 } ], "SourceImageFace": {"BoundingBox": { "Height": 0.23983436822891235, "Left": 0.28333333134651184, "Top": 0.351423978805542, "Width": 0.1599999964237213}, "Confidence": 99.99344635009766} }
  23. 23. Face Comparison
  24. 24.  IoT and camera manufacturers can integrate face- based verification directly into their products  Application of face comparison in locating person of interest for Public Safety  Hotels & hospitality businesses can provide seamless access for guests and VIPs  Online exams or polls can verify presence of registered person by comparing against image captured by webcam. Using Rekognition Face Comparison
  25. 25. Face Comparison – Use Case Face-based Verification AMAZON S3
  26. 26. Amazon Rekognition API Face Recognition Index and Search faces in a collection Index Search Collection IndexFaces SearchFacesByImage
  27. 27. Amazon Rekognition API f7a3a278-2a59-5102-a549-a12ab1a8cae8 & v1 02e56305-1579-5b39-ba57-9afb0fd8782d & v2 Face ID & vector<float>Face 4c55926e-69b3-5c80-8c9b-78ea01d30690 & v3transformed stored { f7a3a278-2a59-5102-a549-a12ab1a8cae8, 02e56305-1579-5b39-ba57-9afb0fd8782d, 4c55926e-69b3-5c80-8c9b-78ea01d30690 } IndexFace Collection
  28. 28. Amazon Rekognition API Face { f7a3a278-2a59-5102-a549-a12ab1a8cae8, 02e56305-1579-5b39-ba57-9afb0fd8782d, 4c55926e-69b3-5c80-8c9b-78ea01d30690 } SearchFacebyImage Collection Nearest neighbor search Face ID
  29. 29. Face Recognition
  30. 30. Using Face Recognition  Family photo sharing apps can use face recognition to group all faces of the same person in a family  Entertainment and news organizations can index decades of archived images to find celebrities  Secure campuses / workplaces can use face search to ensure all personnel in their facilities are authorized to be there  Public safety teams can leverage face collections to automate tracking of persons of interest
  31. 31. Face Recognition - Use Cases Indexing Faces into a Collection AMAZON S3 APPLICATION Image Indexer AMAZON REKOGNITION IndexFaces Person Details Application Table Face Collection AWS LAMBDACAMERA Live Frames
  32. 32. Face Recognition - Use Cases Search for similar face in Face Collection AMAZON S3
  33. 33. Amazon Rekognition Under the Hood
  34. 34. Ground Truth Generation Training
  35. 35. Ground Truth Generation SimpleAutomated Quality Fast Data Pipeline
  36. 36. Ground Truth Generation GlobalTrained ReliableElastic Human Workforce
  37. 37. Amazon Rekognition - Deep Learning Process Conv 1 Conv 2 Conv n … … Feature Maps Labrador Dog Beach Outdoors Softmax Probability Fully Connected Layer
  38. 38. DEMO
  39. 39. Benefits Fully Managed AWS Integration Low CostProven Scalability Secure
  40. 40. Amazon Rekognition – Availability and Pricing 1. Released General Availability 2. At launch available in 3 regions, 1. US East (N. Virginia) 2. US West (Oregon) 3. EU (Ireland) 3. Pricing • Pay as you go • Free Tier – 5000 images per month for first 12 months • Tiered Pricing designed
  41. 41. Amazon Rekognition – Pricing Details Image Analysis Tiers Price per 1000 images processed First 1 million images processed* per month $1.00 Next 9 million images processed* per month $0.80 Next 9 million images processed* per month $0.80 Next 90 million images processed* per month $0.60 Over 100 million images processed* per month $0.40 *Images processed: For APIs with image as input, it’s the number of images analyzed. For APIs with no image input 1 API call = 1 image processed.
  42. 42. Summary 1. Fully managed and easy-to-use image recognition service 2. Four primary capabilities 1. Object and Scene Detection 2. Facial Analysis 3. Face Comparison 4. Face Recognition 3. Integrated with AWS and AI Services • Amazon S3 • Lex and Polly 4. Scalable and low cost
  43. 43. Getting Started http://aws.amazon.com/rekognition/
  44. 44. Questions
  45. 45. Remember to complete your evaluations!
  46. 46. Thank you! Ranju Das
  • PoomWettayakorn

    Oct. 18, 2019
  • ilanchezhianganesamurthy

    Sep. 26, 2017
  • HsienWeiHsiang1

    Aug. 29, 2017
  • MingFongSie

    May. 9, 2017
  • koraykocabas

    Mar. 28, 2017
  • kevinhan

    Feb. 24, 2017
  • ratep

    Feb. 22, 2017
  • ras101

    Dec. 13, 2016

This session will introduce you to Amazon Rekognition, a new service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API lets you easily build powerful visual search and discovery into your applications. With Amazon Rekognition, you only pay for the images you analyze and the face metadata you store. There are no minimum fees and there are no upfront commitments. To get started with Rekognition, simply log in to the Rekognition console to try the service with sample photos or your own photos. Join this session and learn more about Amazon Rekognition!

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