video1.0<iframe src="https://www.loom.com/embed/f75e815f5c734c14ba3c7b0db96b0838" frameborder="0" width="1974" height="1480" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14801974Loomhttps://www.loom.com14801974https://cdn.loom.com/sessions/thumbnails/f75e815f5c734c14ba3c7b0db96b0838-a4bd08e86b4afa47.gif671.24This Loom explains how to use the ENS Titanium AI camera system face recognition to save known faces to the database and trigger alerts for shoplifter detection. In Intelligent Analytics under Face, you select a time frame and leave cameras on All, and only the two entrance-facing cameras with facial recognition are searched, returning a list of tagged faces (for today, 511). You can narrow results by using the search icon on a face, then register it by hovering and clicking the register icon, naming it and assigning it to groups like Thieves or Managers, where Thieves are set to alert via on-screen pop-ups and mobile notifications. The database can be managed in the sample database area by adding, modifying, deleting, and importing reference faces to search for detections over a chosen period, with matching events and expandable video clips showing before, during, and after.