অক্ষি OKKHI

On-premise vision AI

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SOLUTIONS / OKKHI SENTINEL / SEN-14

SEN-14

Visitor & Service Analytics

Counts visitors at every entrance and desk, anonymously, from the cameras already on the ceiling.

OKKHI SENTINEL · SURVEILLANCE THAT UNDERSTANDS.
Visitor & Service Analytics — annotated camera view

Every entrance and desk gets a reliable, anonymous headcount — people in, people out, running totals by hour and by zone. No badges, no opt-in app, just the cameras already on the ceiling.

This is the footfall layer underneath OKKHI's other showroom and branch analytics: service interaction, product interest, and repeat-visit recognition all build on the same anonymous counts.

TYPICAL DEPLOYMENT
CamerasExisting ceiling CCTV
ComputeEdge GPU (shared)
MetricsContinuous
OutputDashboards · API · reports
The problem

Nobody can say objectively how long customers wait or how service varies by hour — mystery shopping samples a moment and calls it the truth.

Who it's for

Showrooms, branches, and service centers measuring customer experience

The outcome

Wait times, service times, and visitor flow become numbers you can manage — not impressions you can argue about.

How it works
STEP 1Capture

Ceiling cameras cover entrances, queues, and service desks.

STEP 2Track

Visitors are tracked anonymously across overlapping views.

STEP 3Zone events

Desk and queue zones record dwell, engagement, and abandonment.

STEP 4Insight

Time-to-serve, peak load, and conversion flow to dashboards and API.

See it in action
Where it's used
1Bank branch entrances
2Showroom and retail entrances
3Service center footfall
4Hour-by-hour staffing baseline
Related solutions
Request a pilot for SEN-14 Fixed scope · weeks not months · your cameras, your product
Free 2-week pilot · you keep the report Let's Talk

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 live demo

For teams deploying vision AI

Field notes from real deployments.

Once a month: what we learned shipping AI monitoring on factory floors and branch networks in Bangladesh — what worked, what broke, what we'd do differently. No product pitches.

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