Bring visual context to industrial and operational alerts.

An industrial site generates alerts all day from systems that cannot see. PARVEK adds the one thing they are missing — the picture of the area at that moment — using the cameras already installed across the plant, with the processing running on site.

What the workflow looks like today

The alert has no picture attached

A fault, a stoppage or a zone alert tells the control room a state changed. Someone still has to walk out and look, or find the camera and scrub back to the right minute.

Cameras are everywhere and watched by nobody

A plant that has accumulated cameras over a decade usually has good coverage and no one with the time to monitor it. The footage is used after incidents, not during them.

The areas that matter are the ones nobody walks past

Plant rooms, roof access, chemical stores, conveyor runs and yard corners are exactly where an unnoticed event becomes an expensive one.

What changes in practice

Restricted and operational areas, watched continuously

Areas are marked on the camera view with the hours they are off limits — so a person on a conveyor run or in a plant room out of hours becomes an event rather than a thing found later.

People, vehicles and movement across the site

Person and vehicle detection, occupancy and counting, and movement between areas — the operational picture a plant has cameras for but no capacity to watch.

Response where the event is

A voice announcement in that area, a light, a relay-driven device, and the event at the control room desk with the frame attached.

Evidence that holds up afterwards

Every event carries its frame, clip, camera and time, retained on the appliance for the incident review or the report.

What raises an event on this workflow

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

Restricted-area entry A person in a marked area during an off-limits window — plant rooms, chemical stores, roof access, conveyor runs.
Yard and vehicle movement Vehicles at gates and in yards, counted and timestamped, with the frame.
Occupancy and crowding How many people are in a bay or area, and when that changes.
Person-down events Someone on the floor in an area that is normally worked alone, raised as an alert rather than discovered on the next round.
Operational alerts already in use Where a plant runs its own operational alerting, the useful question is which camera covers that area. The survey establishes that; reading from control systems is worked out per site rather than assumed.
Camera health and tamper A camera offline, obscured or moved — on a large site, frequently unnoticed for weeks.

From the event to the response

1

Something happens in an area

A person enters a plant room at 23:40, outside the permitted window.

2

PARVEK raises it with the frame

The detection, the camera, the area and the time, captured together.

3

The area responds

A spoken announcement in that room, a light, or a silent alert where announcing it would be the wrong move.

4

The control room sees it

The event reaches the console and the nominated phones while it is still happening.

5

It is kept for the review

Frame, clip and context retained on the appliance for the incident report.

Real frames, not illustrations

From live customer deployments. Faces are blurred where the person would otherwise be identifiable, and names are removed.

A restricted area drawn as a polygon on a camera view with a person detected inside it
Restricted area A marked area on the camera view, with a person detected inside it.
A worker detected in a plant area with PPE status shown by the detector
PPE check Whether required protective equipment is being worn in the area it is required.
A person lying on a floor labeled person down, face blurred
Person down A person on the floor, raised as an alert rather than found on the next round.

How it fits your site

Built around the cameras already on the plant

Standard RTSP and ONVIF streams, read directly or through existing recorders. Mixed estates are normal and expected.

The appliance runs on site

Analysis happens locally on your network. For multi-site operations, each site runs its own appliance.

Industrial conditions are the hard part

Dust, steam, vibration, glare and night lighting all affect what a camera can resolve. The survey establishes this per camera before any capability is promised.

Safety systems stay authoritative

PARVEK supplements them with visual context. It is not a certified safety or life-safety device and does not replace one.

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.

Prove it on your own cameras

The site survey comes first: your cameras, your areas, your hours and the use case you actually have. What comes out of it is a proof of concept running on your own footage, with agreed things to measure:

  • Which areas and hours actually need watching
  • Which existing cameras can resolve what is needed, and which need moving or relighting
  • Event volume per area over a working week, including shift changes
  • Whether announcements and lights are the right response in each area
  • Who receives what, and how fast it reaches them

Frequently Asked Questions

Does PARVEK connect to our PLC or SCADA system?

Not as a shipped connector, and we will not claim otherwise. PARVEK generates its own events from the cameras on site, which is what most plants actually need. If you want operational alerts from a control system brought together with video, that is worked out with you during the survey, against the specific system you run rather than assumed.

Can this replace our fire or gas detection?

No, and it should not be positioned that way. Certified life-safety and process-safety devices remain authoritative. PARVEK can add visual context around an area, but it is not a substitute for certified detection and we do not sell it as one.

Our cameras are old and the estate is mixed. Does that matter?

Mixed estates are the normal case, and reading standard streams rather than vendor SDKs is what makes them workable. What matters more than age is placement, resolution at the distance involved and lighting. The survey tells you which of your cameras are usable as they are.

Will dust, steam and glare break it?

They degrade what any camera can resolve, and the honest answer is that it varies by location. This is exactly what a proof of concept on your own cameras is for — it shows you the real behaviour in your conditions rather than a number from someone else’s site.

We run several plants. How does that work?

Each site runs its own appliance with processing local to it, and events roll up to the people who need them with role-based access per site. Multi-site structure is part of what the survey covers.

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.