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Hi Craig, yes Amazon Rekognition can help you with the face recognition using the Collection feature:
"Amazon Rekognition lets you use an input face to search for matches in a collection of stored faces. You start by storing information about detected faces in server-side containers called "collections". Collections store both individual faces and users (several faces of the same person). Individual faces are stored as face vectors, a mathematical representation of the face (not an actual image of the face). Different images of the same person can be used to create and store multiple face vectors in the same collection. You can then aggregate multiple face vectors of the same person to create a user vector. User vectors can offer higher face search accuracy with more robust depictions, containing varying degrees of lighting, sharpness, pose, appearance, etc."
https://docs.aws.amazon.com/rekognition/latest/dg/collections.html
Please check also the prices here to understand if it's in line with your business case: https://aws.amazon.com/rekognition/pricing/?nc1=h_ls
[please accept this answer if this helped]
Hi Alexandru,
Thanks so much for your response.
I will look at the links. May I ask you if I understand this correctly then, the process is that my users would upload their image to our site and this would deposit it somewhere within AWS where Amazon Rekognition would then process it.
Then, it would search the repository of images for that particular event which it has already converted into a searchable face database as described above and locate matches - return those results to our shopping cart with would then display those results.
Cheers,
Craig
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Hi Craig, correct. Here is an example architecture with the process flow explained: https://aws.amazon.com/blogs/machine-learning/build-your-own-face-recognition-service-using-amazon-rekognition/