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The good news is you would only need to make one call to SearchFaces for each new applicant. The largest expense you'll face is the indexing of the 100 million people in your database. Just an FYI, last time I checked, there is a 20 million face limit for a single collection.. so if you do in fact have 100 million faces, you'll need to break those up into 5 collections of 20 million.. so in that case, you would need to make 5 api calls to SearchFaces (one to each collection).
You might also find this example in the pricing page useful for estimating your cost.
See the example scenario in: https://aws.amazon.com/rekognition/pricing/
Example Scenario: You create a collection of 1M faces using IndexFaces API, and perform 3 million search in the face collection using SearchFacesbyImage API.
Total number of images processed with Group 1 APIs (IndexFaces, SearchFacesbyImage) is 4 million.
Cost of processing 4 million images with Group 1 APIs
First 1 million images. $0.0010 per image 1,000,000 images X $0.0010/image = $1,000. Next 3 million images $0.0008 per image. 3,000,000 images X 0.0008/image = $2,400
Cost of face meta data storage = 1 million faces metadata objects x $0.00001/face per month = $10.
Total cost for this example scenario = $3,400 + $10 = $3410.
In your use case it sounds like you have already completed the IndexFaces calls and would only be making on-going SearchFacesbyImage calls.
Thanks for the response. Just curious, if for every new applicant I need to add their photo to the collection and index it, wouldn't I be better off using the SearchFaces API in this case as opposed to the SearchFacesByImage API?
CompareFaces is an API that doesn't interact with your collection resource. SearchFaces or SearchFacesByImage API would search all the faces in your collection and return the ones that's the closest. There's also a limit on the number faces stored in a collection, that's 20MM.
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Thanks for the info!
(Specifically,
SearchFacesByImage
is probably the API you're looking for - rather thanSearchFaces
)