aws-rekognition-faces

AWS Rekognition for comparing faces

Process Flows

1 . You need to create a collection of face images

aws rekognition create-collection \
--collection-id "faces" \
--region us-east-1 \
--profile user2

2. Once step 1 is done you can get the collection name

aws rekognition list-collections \
--region us-east-1 \
--profile user2 

3. Add images to the rekognition AI by sending images to it

aws rekognition index-faces \
--image '{"S3Object":{"Bucket":"scottrekognition","Name":"scott.jpg"}}' \
--collection-id "faces" \
--region us-east-1 \
--profile user2

4. Test by doing something like this

aws rekognition search-faces-by-image \
--image '{"S3Object":{"Bucket":"bucket-name","Name":"Example.jpg"}}' \
--collection-id "collection-id" \
--region us-east-1 \
--profile adminuser

or run python3 detect-many.py

Your Response should be something like this

Matched With 96.99021911621094% Similarity
To FaceId : 32276a6d-f838-558a-bc1b-6f6d6e8b79cf
Which is ImageId : 51b4f021-b8ab-5945-95ed-1c6c02db5b54
With 99.99979400634766 Confidence