Better person aggregation

[mbudm]

Currently when bulk uploading around 300 images the person categorisation ends up with multiples of the same person - more if it's a baby/child.

I think there may be a clever way to use the face matches of all faces in person A to see if there is a certain level of similarity to the face matches of all faces in person B.

This could be a cron job lambda. It could prompt the user to merge people or if above a certain confidence level, do it automagically in the background.

[mbudm]

I looked into using graph database - this will work but the easy option Neptune DB is costly for this project