Automated face recognition technology (AFRT) is a an encrypted mathematical process for matching an image of an individual (i.e., their face) with other images containing that same individual.
We use AFRT to match the face of a member with images of them in a particular Enterprise Gallery. For example, if a school imports the identification photo of a student into its Gallery, pixevety runs a locked-down-to-the-Gallery facial recognition process to find other images of that student that are held in the school’s Gallery. A member is recognised in an image when their name is “tagged” to a face in that image.
pixevety does not run facial recognition processes between separate Galleries, therefore a face identified in one Gallery (e.g. a school’s Gallery) will not be recognised in another Gallery. The school controls this data in their Gallery.
As an award-winning privacy-first platform, when a school enables AFRT in its pixevety Gallery the technology is primarily used to determine a member’s consent restrictions that need to be applied to images in real-time on upload and at scale (e.g. photos tagged with Johnny Smith will be immediately marked as “Not for Marketing use”). A unique privacy-enhancing use of this technology, it is the only way to deliver consistent privacy consent protection across large growing digital media collections.
It is important to note that face recognition is regarded as an essential function of an Organisation’s Consent Management Module, as it is necessary to automatically identify members faces featured in photos once uploaded into the Gallery to apply their specific consent wishes around access and use.
Privacy of images, and the consent of members tagged in those images, is of paramount importance to pixevety. We will never use this data for surveillance, commercial or profiling purposes.