المدن الذكية· SMART CITY
Aynعين المدينة
Traffic, parking, incident detection, and crowd flow — on edge devices.
Computer-vision analytics running on edge devices attached to the camera network you already have — turning existing CCTV into a live feed of traffic, parking, incidents, and crowd density.
من يرى المدينة يفهمها
“To see the city is to understand it.”
What Ayn does
Runs on existing cameras
Edge inference on your current camera network — no new hardware contracts.
Incident detection
Collisions, stalled vehicles, and unusual crowd gatherings are flagged the moment they appear.
Live parking occupancy
Real-time occupancy across every monitored lot, not a static count from last inspection.
Crowd-flow analytics
Density and movement patterns surface before a gathering becomes a safety concern.
Edge-first architecture
Inference runs at the edge, so bandwidth and latency don’t bottleneck a citywide rollout.
Sovereign data residency
Video and derived analytics stay in-Kingdom, PDPL-aligned.
See Ayn in action
An early UX walkthrough of the product, designed bilingually from day one.
City monitoring dashboard
Camera network
How it works
Connect
Edge devices attach to your existing camera feeds without touching the camera itself.
Detect
Traffic, parking, incidents, and crowd flow are analyzed continuously at the edge.
Alert
Operators see incidents the moment they happen, with location and severity.
Report
Historical trends inform planning decisions beyond the live feed.
See your city as one live system
We're selecting design-partner municipalities for the first pilot cohort. Book a briefing to see the product and discuss fit.
Request a Pilot