The galleries are empty for sixteen hours a day.

A museum protects things that cannot be replaced, in buildings that are open to the public by day and empty by night. The security configuration that earns its keep is about the hours nobody is there, and the rooms the public never enters.

What makes this estate hard to watch

Public by day, empty by night

The exposure is concentrated in the closed hours, which makes schedules the primary configuration tool.

Back-of-house is where the value sits

Stores, workshops and loading areas hold more than the galleries at any given moment, and have far less footfall.

Historic buildings constrain the cameras

Mounting positions, cabling routes and lighting are often fixed by the building itself rather than chosen.

From the trigger to the evidence

Which of these apply to you, and which cameras can carry them, is what the site survey establishes before anything is proposed.

01

Presence in a gallery after closing

Trigger

A person detected in a marked area during the closed window.

Camera context

The detection frame with the area drawn on the camera view.

Operator review

Security round, contractor, or unexplained.

What happens next

Alert to the control room with the frame, and the clip retained.

02

Entry to a collection store

Trigger

A badge opens a store or workshop, or a person is detected inside it out of hours.

Camera context

The camera at that door, at the moment of the event.

Operator review

Whether the person matches the credential on record.

What happens next

Logged with evidence for the collection-management record.

03

Loading bay activity outside schedule

Trigger

Movement at the loading bay when no movement is booked.

Camera context

A timestamped frame at the bay.

Operator review

A judgement made from the picture rather than a door contact.

What happens next

Escalated to the duty manager, evidence retained.

04

Perimeter activity at night

Trigger

Someone crosses the boundary or enters a courtyard after hours.

Camera context

The boundary camera, lit where a floodlight is wired in.

Operator review

Person or animal, settled from the frame.

What happens next

Voice challenge where a speaker covers it, alert to the on-call responder.

Built around what you already run

Schedules do most of the work

Areas carry the hours they are off limits, so the public day raises nothing and the closed hours raise what matters.

Works with the cameras the building allows

Standard RTSP and ONVIF on the estate you have. Where a position is poor, the survey says so rather than promising around it.

Processing and evidence on site

The appliance runs on your own network; continuous video does not leave the building.

Response where it is appropriate

Light and voice challenge in back-of-house and outdoor areas; silent alerting where an announcement would be the wrong move.

PARVEK detects people and vehicles and where they are. It does not do object-removal or item-taken analytics, and we would not claim it does — protecting individual objects remains a matter for your case, mount and physical security measures.

One appliance. NVR + AI + management.

Camera streams, recording, playback, AI events, evidence clips, alerts, reports, users and roles and camera health — centralised in one appliance inside your premises. Faces, clips and reports stay on site.

Input IP / Wi-Fi / compatible existing cameras
Network PoE / network
On premises PARVEK Appliance Recording · AI detection & rules · management
Mobile alertVoice warningLight / floodlightSiren / hooterEvidence clipReports
The PARVEK ops console: an event list on the left, the selected UNKNOWN PERSON detection frame in the centre, and resolve, escalate and physical-response controls on the right
Ops console — events, evidence and response in one place
The PARVEK mobile app showing a live camera view, an SOS/panic button, and tiles for devices, notifications, alerts and recordings
Mobile app — live view, alerts and SOS
Camera health diagnostics listing eight cameras with their frame rates, all green
Camera health — offline and degraded cameras flagged

Camera count, retention and storage are specified per appliance configuration and confirmed during the assessment.

What to measure on your own site

We do not publish improvement percentages, because none have been measured across a fleet and yours would not match them anyway. What a bounded proof of concept gives you is your own numbers, on your own footage:

  • Events per night across galleries, stores and the perimeter
  • How many need a response versus how many are rounds and wildlife
  • Whether each camera gives a usable image at night lighting levels
  • Time from detection to the control room having the frame
  • Whether the configured areas and hours match how the building is actually used

Frequently Asked Questions

Can it tell us if an object has been taken?

No. Item-removal analytics is not something PARVEK does, and we will not claim it. What it does well is tell you a person was in a place they should not have been, at a time nobody should have been, with the footage to prove it.

Our building is listed and we cannot move cameras easily. Does that matter?

It matters a great deal, and it is better established up front. The survey records what each existing position can actually resolve, and says plainly where a capability will not work from where the camera has to live.

Will this run during opening hours?

Only where you want it to. Most configurations are scheduled to the closed hours for gallery space, with back-of-house areas carrying their own windows.

Does it replace our intruder alarm?

No. It watches the same spaces on camera and raises its own events with a picture attached. Where you already run an intruder system, the survey works out which camera covers each zone so the two work together.

AI surveillance and analytics are technology-assisted and do not guarantee prevention or detection of every security incident or 100% accuracy.

Start with a site survey

Tell us what the site is, what it runs and what you need it to catch. The survey establishes whether your cameras can carry the use case — and from there, a proof of concept runs it on your own footage.