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WestPoint · Eagle Eye Networks

The cloud does not remove the box at the premises. It makes it dumber.

Eagle Eye Networks is cloud video that works with the cameras you already have. At each premises there is still a device, but it stops being the recorder everything depends on and becomes a bridge: it collects, keeps a little and uploads.

Twenty premises, twenty recorders, zero people.

The problem it solves is almost never about video: it is about maintenance.

A chain with twenty shops has twenty recorders, each with its drive, its version and its own way of failing. Nobody in the shop knows that the drive in the back room has not recorded the stockroom camera for four months, and it will not be known until the day that image is needed.

Here the split changes: at each premises a bridge —a small device— talks to the cameras already there over the usual protocols, keeps the recent material locally and uploads the rest. The management, the users and the status of every premises are on a single page: if the bridge in shop seven has sent nothing for a day, it comes up there in red.

And one detail that separates it from the platforms with their own camera: you do not have to throw out what is installed. If the cameras are decent and speak standard protocols, they come in. That turns a software renewal into a project of weeks rather than a hardware investment.

How it is built.

Everything turns around the bridge and around one decision: what goes up, when, and at what quality.

  • The bridge is the one doing the work: it collects the streams, keeps them on its drive and sends them as configured. The sizing consists of choosing how many days it holds locally, and that is not a whim — it is how long the line at that premises can be down without losing anything.
  • What goes up is not everything at full blast: a light version of the video goes up continuously, and the full quality according to the contracted retention or when it is asked for. That setting decides the line bill and what you will actually have three months from now, so it has to be written into the handover, camera by camera.
  • Scaling: you add premises, not servers. Each premises is one more bridge in the same console and there is no central machine on the client's side, so a chain goes from twenty to sixty branches without redesigning anything.
  • Redundancy: the recording lives in two places —bridge and cloud—, which solves the classic problem of somebody walking off with the recorder. And the other way round: a camera hanging off a single bridge depends on that bridge. If the premises is critical, either there are two, or the risk is accepted knowingly.
  • Access and intruder detection are integrated, not unified, and video alerts can travel to an alarm receiving centre. The API is one of the most open in this group: it lets you cross a sale at the till with the image from that second, or build your own panel with the status of all sixty shops.

The five questions about the cloud.

The same five, and here with different answers from a platform with its own camera. It is best not to copy conclusions from one to the other.

Where the recordings live: in two places, the bridge at the premises and the provider's data centre. Which data centre that is and what region it is in is a clause in the contract, and there are European regions. Which one applies to you and what happens if it changes tomorrow is asked for in writing and kept with the file.

If the line goes down, recording continues on the bridge and, when it comes back, what is pending is uploaded. While it is down there is no access from outside and no alerts. And there is one limit that can lose video: if the outage lasts longer than the bridge's drive holds, the oldest material goes. That number is calculated and written down.

The cost of uploading video is the conversation on this platform, and it is not the peak: it is the sustained throughput, twenty-four hours a day, on a line contracted with downloading in mind. It is calculated camera by camera before signing, and if it does not stretch there are three ways out — less continuous quality, uploading at certain hours, or improving the line. The fourth, putting it in and seeing what happens, is paid for in video that is not there.

RGPD and international transfers: the provider is from outside the EU even when the region is European, so the usual is needed — a processor contract, transfer safeguards, a prior assessment where required, informing the staff and a truthful record of processing activities. It is a formality, and it is done beforehand.

And the dependency, which here is of another nature: the cameras are yours and they speak standard protocols, so the day you leave they stay and another system picks them up. What nobody takes with them is the cloud archive, which has to be exported before closing the service. What is rented here is the service, not the installation.

The subscription, and how it grows.

You pay per camera and for what that camera keeps: days of retention and quality. It has a budget trap worth seeing coming — the cost does not grow only when cameras are added, it grows when somebody decides more retention is needed. Going from thirty to ninety days on a hundred cameras is not an adjustment, it is another contract.

That is why the useful work comes first: how many days are needed at each point, because the till camera and the loading bay camera do not need the same as the one in the corridor. And into the same table you have to put what disappears: recorder renewals, visits over a drive, mismatched versions and the cost of not knowing that something was not recording.

Who it fits, and who it does not.

The answer depends less on the security than on the line at each site.

It fits if…

You have many small or medium premises, cameras already installed and nobody technical at them. If you need to know from one screen which premises is not recording. If the video has to travel to an alarm receiving centre or to a system of your own. And if the line at each premises stretches to uploading, which is the condition that rules over all the others.

It does not fit if…

It is a single large installation with hundreds of high-resolution cameras: there the cloud sum stops adding up. Nor if there are poor or expensive connections that cannot be improved, if the specification requires that the images do not leave the premises, or if there is a control room watching many cameras live at once.

Analytics: what it brings, what can be put on it and where the ceiling is.

As standard: search by movement and by object, filters for finding a person or a vehicle in hours of recording, alerts by zone and by schedule, and the health status of each camera — which in a chain is the most profitable function of all even though nobody sells it.

What can be added: number plates, extra analytics contracted as a service and, above all, whatever is built through the API. Crossing video with the sales, with the queue times or with the stockroom deliveries is integration work, and here it can be done.

The ceiling of the included analytics is the ceiling of its architecture: at full quality and in the moment, what the bridge has in front of it gets analysed; in the cloud, whatever has been uploaded. If low quality is uploaded to save on the line, the analytics work with that low quality. It is a chain, and the narrowest link rules.

And what we owe you as a declaration: in the same house there is IRIS Neural, the NVMS from Infinity Neural, the other company in the group — our own product, and we say so before recommending it. On many installations they live together: the VMS governs cameras, recording and retention; IRIS brings the understanding of the scene. Here the coexistence is one of the clean ones, because the cameras are standard and both systems can take the image at the premises itself, at full quality, without fighting over the upload.

What we do.

On a cloud platform all the work goes into the preparation.

  • The survey of each premises before promising anything: what cameras there are, which of them are any use, what protocols they speak, what line it has and how much real upload it gives at eleven on a Tuesday. Measured, not the one in the operator's brochure.
  • The sizing: which bridge goes at each site, how many days it holds locally, what quality each camera uploads and how many cloud days each one deserves. With the sustained upload figure alongside, which is the one that decides whether this works.
  • The rollout: bridges, a video network separated from the company one, cameras added one by one and checked by day and by night, and user roles by position.
  • The commissioning of what raises alerts: which events generate which alert, to whom, at what hours and what the person receiving it does. With the integration to the alarm receiving centre tested by triggering the real event.
  • The migration and the maintenance: coexistence with the old recorders, exporting whatever has to be kept and then their removal. Then fields of view, checking that each camera uploads what it should, alerting on silent premises and an annual review of the contract.

Who operates it after we go.

The split is easier than on a classic system, and there is one place where a technician is still needed: the network.

  • IT: the network at each premises, the line, keeping the video traffic separate, the accounts and two-factor. There are no video servers, but there is a new and permanent dependency on the connection. When shop seven changes operator and nobody says anything, the one that finds out is the video system.
  • Security or whoever is in charge of each premises: watching, searching, marking, exporting for the police or the insurer and dealing with an alert. It is a web page and it is learnt in a morning, which makes it possible to give the manager of each branch access to their own cameras and to nothing else.
  • The detail that matters in a chain: with twenty premises there are twenty managers, and they change. If nobody reviews who still has access, the system ends up with accounts belonging to people who no longer work there. That review belongs to somebody with a name, and it is decided at handover.
  • It demands of the integrator more knowledge of networks and bandwidth than of video software. The problems here are almost never the program's: they are the line, the switch, the configured quality or an old camera that closes the connection every two hours.
  • Training: a morning for daily use, with one page per premises. And a session with IT on what happens when the line goes down and how a bridge's status is checked. Somebody on the client's side being able to tell «it is not recording» from «it is not uploading» saves half the calls.
  • Documentation: a list of premises with their bridge, their line and their calculated upload; a sheet per camera with what it sees, what it uploads and the days it keeps locally and in the cloud; a map of roles; the storage region and the processing contract; and the administrator accounts in the client's name.

Get started

How much upload does your weakest premises have?

With this platform it is the first question and almost the only one that can bring the project down. If you tell us how many premises there are, what cameras they have, what line each one has and how many days of recording you need, we will give you the upload and cost calculation before you buy anything — and if it does not add up, we will tell you then.