Jewellery counter — Hamdan
Overhead camera per display tray, absence dwell 10 s, schedule disarmed for the morning re-stock. Cleaner whitelisted by time, not by face.
Asset Protection · Abu Dhabi
A display piece, a server, an exhibit, a cash drawer: the security question is not just “was the room entered?” but “is the asset still there?” Object-removed detection inverts the abandoned-object pipeline. Instead of alarming on a new stable blob, it alarms on a stable blob that has gone — the asset that has lived in this region of interest for hours or days and is now missing. In Abu Dhabi this matters on jewellery counters in Hamdan boutiques, server racks in Mussafah comms rooms, gallery exhibits on Saadiyat, and back-of-house safes in hospitality. Emirtech is the ADMCC-approved integrator that specifies the camera angle (overhead is usually the only honest answer), draws the ROI around the asset, tunes the absence dwell, and runs the acceptance test — including the “moved by the cleaner” failure mode.
Mechanically, object-removed runs on the same background model used by abandoned-object, but with the polarity reversed. The model learns the asset as part of the long-term background. When the foreground inside the ROI suddenly looks more like “empty surface” than “asset present” for longer than an absence dwell — typically 10 to 120 seconds depending on whether you want to catch a snatch-and-grab or a slow lift — the rule raises an alarm. A classifier guards against people standing in front of the asset being read as “removed”: the model needs a clear, person-free view of the empty surface for the dwell to expire. Why this matters specifically here: much retail and gallery CCTV is mounted high on a ceiling for coverage, not directly above the asset, so the background model fights with shopper occlusion. Sun rakes through glass facades in the mornings on Hamdan and Saadiyat and changes the surface reflectance. Cleaners legitimately move display items at fixed times. Emirtech’s job is to put the right camera at the right angle (overhead or tight oblique), draw the ROI on the asset footprint, set an absence dwell that matches the threat (10 s for a smash-and-grab counter, 60 s for a static gallery piece), schedule the analytic to disarm during cleaning windows, and run a logged acceptance test. We also write the escalation: alarm raises a clip plus a still of the empty ROI to the duty manager.

It works when the camera sees the asset surface clearly from above or close oblique, the lighting is stable enough that the background model is not constantly relearning, and the asset rarely moves legitimately. It does not work when the camera is staring across a busy retail floor at chest height — people occlude the asset constantly and the model never gets a clean baseline. It is also not a replacement for an EAS tag or a physical lock on a high-value item; it is an additional layer that raises an alarm faster than a CCTV review.
For the wider AI analytic suite this sits alongside, see AI video analytics; the camera and recorder choices are designed within our ADMCC-approved CCTV installation envelope.

Overhead camera per display tray, absence dwell 10 s, schedule disarmed for the morning re-stock. Cleaner whitelisted by time, not by face.
Overhead camera on the top of the rack, ROI per server. Absence dwell 30 s. Used as an early indicator alongside the rack door reed switch.
Tight oblique, absence dwell 60 s, schedule disarmed during the curator’s daily rotation window. Alarm raises a clip to the gallery duty officer.
Overhead camera in the cash room, ROI on the safe footprint. Absence dwell 30 s. Alarm pairs with the safe’s own open/close event for cross-check.
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