amazon rekognition - image analysis overview
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About Me
@alex_casalboni
clda.co/rekogni.on
Bachelor in Computer Science
Master in Sound & Music Engineering
Web Developer (6+ years)
Cloud Evangelist @ Cloud Academy
Image Analysis Context
clda.co/rekogni.on
Object Detec?on
Extrac.on of labels
Tagging w/ Confidence
Facial Analysis
Face detec.on
Face comparison
Face search
What is NOT supported (yet)?
clda.co/rekogni.on
Op.cal Character Recogni.on (OCR)
Explicit content (nudity, violence, etc.)
Logo detec.on (popular products)
Image rendering (landmarks, boxes, etc.)
Facial Analysis
clda.co/rekogni.on
Face Detec?on != Face Recogni?on
Image scan
Loca.on & features
Confidence ~ Detec.on
Numerical representa.on
Vectors comparison
Confidence ~ Similarity
clda.co/rekogni.on
60% of the ?me, it works every ?me!
Python Examples
clda.co/rekogni.on
clda.co/rekogni.on-‐python
Face Details -‐ ALL AWributes
clda.co/rekogni.on
Face Indexing and Collec?ons
clda.co/rekogni.on
User B
Face Collec.on
Search by Face
dc090f86-48a4-5f09-905f-44e97fb1d455
bh020ftl-12a3-ho09-1355-21blpfb42acd
011bdsa1-op5j-gf14-bhg2-1p7agds6mca9
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User A
Index new Images
S3 Events & Rekogni?on Architecture
clda.co/rekogni.on
User S3 Bucket Lambda
DynamoDB
CloudSearch
Rekognition
orUpload Trigger
IndexPut Item
Commit
Authen?ca?on & Rekogni?on Architecture
clda.co/rekogni.on
User API Gateway Lambda Authorizer
DynamoDBRekognition
Call Invoke
Search Get Item
