Choosing Analyses
An analysis is one AI model watching one camera. Analyses belong to the camera, not to a rule, so multiple rules can share one analysis and the computation runs once.
| Analysis | Provides | Preparation |
|---|---|---|
| Object Detection | Which of 80 everyday objects are in view, and where. | None |
| Face Recognition | Whether the face is a registered person, or unknown. | Enroll faces |
| License Plate Recognition | The plate number and whether it is on the registered list. | Register plates |
| Fire Detection | Whether fire or smoke is visible. | None |
| QR / Barcode | The contents of a code. | None |
| OCR (Text Recognition) | Text read from the frame, in one of 11 languages. | None |
| Custom Classification | Which of your own classes the scene matches. | Train |
| Custom Anomaly | How far the scene deviates from normal. | Train |
Aside from Custom Classification and Custom Anomaly Detection, which require training, the other six analyses run as soon as they are added. Requiring preparation does not mean the analysis will not run; it means it cannot identify what it sees. Face Recognition detects faces before anyone is enrolled and reports every one as unknown; License Plate Recognition reads numbers but marks every plate unregistered. Enrollment is what enables identifying who, or which vehicle.
Custom Classification and Custom Anomaly are different: before training they have no reference to judge against, so they cannot evaluate at all. These two require collecting samples first, and including face and plate enrollment, four analyses require teaching.