SOLUTIONS / OKKHI ANALYTICS / ANL-01

ANL-01

Smart Parking

Per-stall occupancy from ordinary cameras — utilization dashboards without ground sensors.

OKKHI ANALYTICS · THE FLOOR, UNDERSTOOD IN NUMBERS.
Smart Parking — annotated camera view

Per-stall occupancy from the cameras already covering your lot — live availability, utilization analytics, and overstay detection without burying a single ground sensor.

Stall polygons are drawn once per camera; everything after that is continuous and automatic.

TYPICAL DEPLOYMENT
CamerasExisting CCTV (RTSP)
ComputeEdge GPU (shared)
RefreshContinuous
OutputLive map · utilization API
The problem

Drivers circle for spots while stalls sit empty out of sight — and ground sensors cost more than the problem they solve.

Who it's for

Facilities, malls, and campuses managing paid or assigned parking

The outcome

Occupancy becomes a live dashboard — no sensors buried in concrete, no manual counting.

How it works
STEP 1Capture

Lot cameras cover the stalls; no new hardware in the ground.

STEP 2Map stalls

Stall polygons are drawn once on each camera view.

STEP 3Classify

Each stall is classified occupied or free, continuously.

STEP 4Dashboard

Live availability and utilization flow to your dashboard and API.

See it in action

Concept demonstration. To show client footage instead, replace media/video/smart-parking.mp4 — the page updates automatically.

Where it's used
1Office and mall lots
2Plant vehicle yards
3Visitor parking guidance
4Utilization planning
Related solutions
Request a pilot for ANL-01 Fixed scope · weeks not months · your cameras, your product

Proof beats promises.
See it on your own cameras.

We run a two-week pilot on your footage, with your incidents, measured against your numbers. If the results don't convince you, you keep the full report and owe nothing.

Book a free live demo