Deepva Face Attributes
Recognition of facial attributes
Do you want to take facial recognition one step beyond classic face recognition? At the heart of our Face Attributes functionality is the ability to read characteristics such as emotion, age and gender, or even accessories such as hats or glasses. It’s the little things that matter! Pay attention to the small details. Analyse emotions such as “happy”, “sad”, “angry” or “confused”.
Unwanted attributes such as ‘eyes closed’ or ‘mouth open’ can also be used to filter out images. It is also possible to identify special features as well as demographic information about the person. Identify images and videos that create the right mood.
Transforming data into value
Recognition of emotions
Detection of facial features
Analysis of the video mood
Face Attributes use cases
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.