The average marketing team created more than 5,000 assets last year. Within those assets are potentially hundreds of images with human faces. It’s one thing to deploy them, but it’s another to manage these assets every time talent usage rights expire or your team experiences leadership changes. Unless you’re using face recognition within your digital asset management platform, odds are you’ll spend untold hours on a manual search and replace mission.
You can now find faces faster thanks to an update to our AI powered facial recognition feature in the IntelligenceBank Digital Asset Management system.
Facial recognition uses artificial intelligence to identify faces in images and add their names as searchable keyword tags, making it quick and easy to find any image containing a specific person or people in your DAM.
Why facial recognition?
- Manage usage rights – Ensure you’re always compliant by only using approved images containing specific people.
- Find images fast – Automatic tagging of faces enables all images of a specific person or people to be instantly found with a simple search.
- Reduced time spent tagging – No need to spend time on the tedious task of manually tagging images with the names of people.
Use cases
While being able to quickly find images containing specific people is a no brainer, there are many specific use cases for facial recognition that drive home just how valuable it can be, particularly for businesses concerned about managing their brand and legal risk. Here are just a few examples:
Managing talent usage
Reduce the risk of using images with out of date talent agreements by quickly finding all images featuring a specific person, then checking if these images are still approved for use.
Executive search
Has a senior executive recently left your business? Ensure all images they feature in are removed from your asset library so they can’t be used in the future. Simply search for their name to find all images.
Managing healthcare images
Hospitals need to be sensitive that deceased people, especially children, are not featured on any promotional material. Facial recognition is a quick way to find images of these patients and ensure they are no longer used.
Higher education
Universities have imagery of hundreds and thousands of individuals. If someone has requested not to be in ads, or if there is a legal issue with a student or teacher, facial recognition is a great way to find faces in a crowd and ensure these images are not used.
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