📄️ How Live AI Detection Works
A camera that only streams is passive. It shows you the scene, but it's on you to notice anything. Detection is what makes a camera watchful. As the feed comes in, AI Live Insight analyzes it frame by frame and recognizes the objects you care about, a person, a vehicle, a weapon, so the system, not just the operator, is paying attention every second the camera is live.
📄️ Understanding the Object Library
Detection tells you that something is in frame, a person, a vehicle, a face. The Object Library is what tells you who or which one. It is your portal's gallery of known subjects, the people, vehicles, and objects you have enrolled ahead of time, so that when a camera sees one of them, the system doesn't just report "a person," it reports the specific subject you are watching for.
📄️ Understanding Face Recognition
Detection tells you a person is in frame. Face recognition tells you which person. It is the capability that takes a face seen on a live camera and matches it against the people you enrolled in the Object Library, so the moment someone on your watchlist walks past a camera, the system names them, on the video, in the event feed, and in the recording, without an operator having to recognize the face themselves.
📄️ How to Manage the Object Library
The Object Library is where you enroll the people, vehicles, and objects you want your cameras to recognize. This guide covers adding subjects, improving them with more photos, editing their details, finding them, reviewing where they have been seen, and removing them.
📄️ How to Set Up Face Recognition
Face recognition has two halves that have to meet in the middle: the faces you enroll in the Object Library, and the cameras you tell to look for them. Enroll a face but never turn recognition on for a camera, and nothing happens; turn recognition on but enroll no faces, and there is nothing to match. This guide walks the whole flow end to end, so a camera ends up naming the people on your watchlist as they appear.