Face recognition
I work in a large logistics business (24,000 employees) that has rolled out FotoWare across the business in the last 6 months.
Our company is over 60 years old and has an image library of 50,000+ images. We have integrated our FotoWare solution with Google and Microsoft image AI tools to tag the images, which is great for searchability, but we need a face recognition feature.
It’s important for us to ensure that the people that feature in the images we publish are still with the business.
If we had face recognition we could make images that feature employees that have left the business as ‘not approved’.
Is this a possibility?
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There's a few companies looking at Face Recognition services now, and I know there's a few Proof Of Concepts (including one we've built ourself for a demo at a conference next week) using Azure's Face Recognition APIs.
Since you are already using Azure Cognitive Services, have you considered extending this to Face Recognition?
The Face Recognition Services by Azure can be used to automatically tag images with names, although the database will have to be trained (Because the APIs don't know the names of your employees). The database can actually be trained using existing metadata, or whenever someone updates the name of a person in the metadata.
A recurring job could then be set up to scan through the assets with names of people that leaves the company and update the status of the image.
Some integration work will be required, but not much as the need for custom user interfaces would be little or none.
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