Team coverage
Demand and support
No longer overlap
The opening experience shows one physical space becoming progressively understandable. Supported existing cameras observe anonymously. A shared spatial reference resolves into the physical operating model. An anonymous journey reveals a bottleneck and a local coverage gap. A manager-reviewed intervention opportunity and recurring local context remain grounded in that same world.
AnyVidi
Make your physical space speak.
See how your operation actually runs using the cameras you already have.
Use the cameras already in your space.
AnyVidi works with supported existing cameras, so you can start without adding a new sensing layer.
Bring every camera into one shared digital twin.
Each view is aligned to the same 3D space, so movement and activity can be understood across the whole location.
The whole space becomes measurable.
Measure distances and object dimensions, and estimate anonymous person height across the mapped space.
See what visitors do next.
After an exposure or interaction, follow the next physical step through the space.
See where people start waiting.
Spot where queues build, movement slows or visitors wait longer than expected.
See where customers need help but your team is not there.
Compare customer demand with staff presence to find areas that are being left uncovered.
Act while there is still time to change what happens next.
Keep the active condition and response location visible while there is still time to act.
See which recurring patterns deserve a closer look.
AnyVidi surfaces what deserves attention while the decision stays with your team.
One live view of how your whole operation is running.
Enterprise-grade spatial intelligence.
Without a dedicated sensor stack.
Keep the suitable views from your existing CCTV and IP cameras. AnyVidi adds an on-site Edge PC and a shared spatial reference to bring those views together in one Living Operational Twin.
Suitable existing cameras
Keep the views that already work.
Camera views→
Edge PC, on site
Add the spatial processing layer.
Shared spatial reference→
Living Operational Twin
See movement, journeys, waiting and where attention is needed.
Processing stays on site by default.
Video is processed locally on the Edge PC.
Where camera views are suitable, the core deployment does not require LiDAR or dedicated depth sensors.
First, understand the space.
Then understand what happens inside it.
A short guided walkthrough maps the space. From there, see where people go, where they pause or wait, and whether staff are nearby.
Start with the space.
We map the space with a guided walkthrough, then check what each camera can reliably see.
See where people go.
See how people move between areas the cameras cover, without identifying them.
See where people stop.
See where people pause and for how long, not what they intend to do.
See where waiting forms.
See where waiting builds, using the rules we agree with you.
See whether help is nearby.
See whether staff are nearby when people are waiting. People remain anonymous.
See what keeps happening.
Spot recurring patterns in the areas we have checked, so managers know where to take a closer look.
AnyVidi shows what matters.
Your team decides what happens next.
When waiting builds and help is elsewhere, AnyVidi can flag it under rules we set with your team.
Response opportunity
People are waiting.
Help is elsewhere.
In supported pilots, alerts go to the available staff group set up for that area.
See where help is needed.
The alert tells you where to look and why.
Your team stays in control.
Local by default.
Anonymous by design.
Video is processed on site by default. Anonymous events may sync for reporting and approved location learning. No facial recognition or biometric identity.
Our privacy approachA working day is full of moments.
AnyVidi brings the important ones forward.
Your team has a day to run, not another screen to watch. AnyVidi flags the moments that match the rules we set with you.
09:00
One location.
One working day.
Visitors begin arriving. Staff are nearby.
Example day for a supported pilot, not customer results.
Doors open.
Visitors begin arriving. Staff are nearby.
Staff are nearbyDemand is building.
More people reach collection. Nothing needs attention yet.
Nothing needs attention yet.Waiting is forming.
People begin waiting near collection. For now, it is worth watching.
Worth watchingWaiting is building.
Waiting is building at collection and no staff are nearby.
Team notified.The situation is changing.
Waiting is easing and staff are nearby again. Managers can review how long this lasted.
See what changedWaiting is forming at the entrance.
A new waiting point is developing near the entrance.
Team notified.
A lot happened. Only some moments needed attention.
See what changes
from one location to the next.
Compare waiting, journeys and staff coverage across locations, without losing sight of how each place works.
Location A
A larger floor with a shared collection point.
Waiting keeps returning at collection.
Location B
A smaller floor with a different route to service.
Waiting is occasional here.
Compare more than totals. Compare like with like: the same measure, comparable areas and the same period.
Example locations, not measured results or a ranking.
Start with
one useful question.
We check the cameras already in place, confirm what they can measure and build a focused pilot around the question that matters first.
Camera views
Start with the cameras you have.
Suitability
Check what the cameras can see clearly.
Coverage
See which areas are covered and which are not.
Operating question
Choose the question to answer first.
Focused pilot
Agree what to try and how to judge it.