AI Surveillance & Smart CCTV for Abu Dhabi Premises

Edge AI vs server VCA — which belongs on your site

“AI camera” usually means edge inference: a small NPU on the camera runs the detector locally, so the alarm is generated at the device and the network only carries the alert and the clip. Server VCA runs the same class of model on a GPU-equipped recorder or analytics server against multiple RTSP streams. Edge wins on bandwidth, latency, and resilience to network drop; server wins where you need uniform analytics across mixed older cameras, or where you want to re-run a forensic query against archived footage.

Emirtech specifies the split honestly: edge for the perimeter and entry points where latency matters, server VCA where you need forensic search across recorded footage or want a single analytics layer above a heterogeneous camera estate. Where the camera and lens themselves are the bottleneck — backlight at a gate, glare on glass, fog in the morning — no analytic will save you, and we will say so on the survey before quoting. We integrate AI surveillance under the same ADMCC-approved CCTV installation envelope as the rest of the system.

• Per-camera analytics map: which feed runs which detector, at what frame rate, against which ROI polygon
• Sensor and lens selection sized to the analytic — not the other way round — with WDR, IR distance, and minimum lux written down
• Acceptance test: a defined window with logged true and false alarms before sign-off, not a vendor demo
• Threshold tuning revisited at 30 days against the operator’s actual alarm log, with adjustments recorded
• Documented escalation path: alarm → on-shift operator → named dispatch — nothing else counts as “working”
• ADMCC approval, free site survey and an itemised written quotation