Deepva Face Recognition
Full power of Face Recognition in one function
Daily workflows are taken to the next level
function description
Identification of individuals
Is finding personalities in your media data taking a lot of time and causing unnecessary costs? DeepVA Face Recognition quickly detects and identifies people in a variety of categories and helps to structure large media archives, easily find relevant content and use media data for individual needs.
Benefits
Transforming data into value
Accurate face recognition
Face masks aren't a problem
Over 21,000 pre-trained personalities
use cases
Face Recognition use cases
DeepVA Face Recognition is used by media, sports, construction or retail organizations and city archives to simplify content search to the maximum, to identify people in real-time or to broadcast targeted advertising. A variety of use cases can be covered, such as contextual or emotional video tagging, live recognition of people or athletes, or deep fake detection.
Improving visual search
How can I efficiently find what I’m really looking for in my visual media material?
how it works
How does Face Recognition work?
Face Recognition analyzes faces with respect to a number of different vectors and compares them with the underlying database. The database may consist of either pre-trained personalities, your own training data, or a combination of the two.
