Machine vision for biomass power plants & pulp and paper mills

Turn your cameras into measurement devices.

Photoboiler measures what your operators can only watch: fuel and bed quality at biomass boilers, bark and wood loss in the wood room. Results go into your automation system like any other measurement, with an evidence image behind every value and alarm.

Matt black Photoboiler camera rig with glowing photoboiler text, bolted onto a fuel conveyor cover inside a power plant

Sounds familiar?

The things that stop your process are rarely the things you measure.

  • “The bed jammed, and there was no advance warning.”
  • “A new fuel batch came in. We only saw the effect on the bed hours later.”
  • “We keep replacing bed sand and still argue about what causes the sintering.”
  • “We know we’re losing wood at debarking, but not how much or when.”

Fuel feeds, ash conveyors, debarking lines and bunkers are still mostly watched by operators looking at security camera feeds. That works – until it doesn't.

01

Too rare

A bed that starts to sinter, a bad fuel batch or a stone heading for the chipper happens a few times a year. Nobody can stare at a monitor for months waiting for it.

02

Too fast

A change in the fuel or the log feed reaches the next process step in minutes. By the time the boiler or the line reacts, it's too late to act.

03

Too boring

Watching fuel or logs stream past for a whole shift is exactly the job people are worst at. Attention fades. A camera's doesn't.

Purpose-built analysers are expensive, single-purpose – and often simply don't exist for the problem you actually have. Photoboiler closes the gap: a rugged camera rig plus a model trained on your material, turning images into early warnings, trends and evidence your whole team can trust.

Applications

What Photoboiler measures for you

Real detections from real plants: the raw camera image next to what the model finds in it. Pick your industry.

Biomass & CHP power plants

Fuel feed, fluidised bed and bottom ash.

Bed material removal conveyor: raw image and the same image with sintered agglomerates highlighted in red

Bed sintering & bottom ash analysis

The risk
Sintered bed sand and foreign material quietly degrade fluidisation – until the bed jams with no advance warning, or you have to replace sand again.
What we measure
Agglomerates and foreign matter in the bed material removal stream, measured as share of area.
Your result
A live trend of bed condition to steer sand feed, sand recycling and fuel mix before the bed defluidises – and images that settle discussions about what is really coming out.
Fuel conveyor image and two segmentation overlays classifying different fuel materials

Fuel quality & fuel changes

The risk
A new supplier or batch brings more fines, more bark or the wrong material. Bed temperature drops or the bed jams, and you only find out afterwards.
What we measure
The material composition of the fuel stream, classified in real time on the conveyor.
Your result
Early warning when the fuel changes, data to steer combustion, and evidence images for supplier feedback.
Fuel conveyor image with a bent steel bar, the same image with the bar detected, and a segmentation mask highlighting the bar

Tramp metal & oversized objects

The risk
Steel bars, cables and oversized pieces jam screw conveyors, damage crushers and block the boiler feed.
What we measure
Foreign objects on the belt, located and segmented in every frame.
Your result
An alarm or belt-stop signal before the object reaches critical equipment – plus a time-stamped image that traces it back to the delivering truck. We often film the truck and its licence plate at unloading too, so you can stop the problem at the source.
Conveyor roller condition monitoring images with a detected fault highlighted in yellow

Conveyor condition monitoring

The risk
Rollers, belts and idlers fail in places that are hard – or unsafe – to inspect on rounds.
What we measure
Changes in the condition of critical mechanical parts, continuously.
Your result
Planned maintenance instead of unplanned stops. In use at Pori Energia.

Pulp & paper mills

Wood handling first – and other mill processes where standard measurement devices don't work.

Logs after the debarking drum: the raw camera image, and the same image with debarked wood in green and remaining bark in red-brown

Debarking: residual bark & wood loss

The risk
Too little debarking leaves bark on the logs. Too much sends good wood to the bark line – wood loss you have already paid for.
What we measure
Remaining bark on the logs after the drum, measured pixel by pixel. A camera on the bark conveyor measures how much wood ends up there.
Your result
Residual bark % and wood loss as continuous measurements in your automation system, to tune the drum on – instead of occasional manual checks.
  • Wood handling

Stone detection

Stones and other unfamiliar material on the debarking conveyor, detected before they reach the chipper – with an alarm signal to your automation system.

  • Wood handling

Log jam early warning

Log build-up, misaligned and bridging logs on the feed conveyor, with early-warning alarms before a full jam. Often works with a standard security camera.

  • Wood handling

Log dimensions & production flow

Log thickness and length, and volume flow from belt speed, for continuous monitoring of debarking line production.

  • Mill processes

Sludge press monitoring

Sludge sticking to the wire, overflow beyond the wire and wire position, for stable dewatering.

  • Finished products

Roll inspection

Damaged end covers, wrinkled or torn wrapping and missing labels on finished rolls, before they go to storage or delivery.

  • Also at mills

Tramp metal & conveyor condition

The foreign-object detection and conveyor condition monitoring described above work on mill conveyors too.

Development projects

Beyond our core, we take on new targets together with customers who want to develop them. Results depend on the case, so we agree the goal and the success criteria with you up front – and tell you honestly if it isn't working.

  • Experimental

Waste & recovered fuels

Unexpected objects in RDF/SRF and other recovered fuels, flagged with an image as evidence.

  • Experimental

Waste bunkers & reception

Oversized items in waste bunkers and at reception, spotted before they block the feed.

  • Your process

Something only your operators can see?

If an experienced operator can spot it on camera, a model can often learn to measure it. Tell us about it →

The rig

Built for the plant floor, not the office.

Measurement-grade machine vision needs a steady view and steady light. Dust, moisture and vibration make both hard. That's why we build our own rig.

  • Rugged matt black enclosure

    Bolts straight onto conveyor covers, chutes and hatches. Camera, optics and electronics stay sealed away from dust and moisture.

  • Integrated lighting

    Controlled illumination gives consistent images day and night – the difference between a picture and a measurement.

  • Sealed cable glands, one tidy bundle

    Power and data in a single protected cable run. We deliver the rig with its installation plates, and your own maintenance staff mount it in a short stop – usually 1–2 hours, with us there to help.

  • Its own connection

    A transmitter box next to the rig sends images to our servers through its own modem and VPN – no server or network needed from you. For very fast response, the analysis can run right there at the edge.

Why operations managers invest

What is one avoided stop worth to you?

  • Availability. Fewer unplanned stops from bed jams, fuel changes, stones and log jams.
  • Bed sand & fuel cost. Act on sintering before it forces a sand change, and know what you're burning – and what you've paid for.
  • Wood loss. Tune debarking so good wood stays in the process, not in the bark line.
  • Facts, not arguments. Evidence images for internal discussions and supplier feedback.
  • Operator focus & safety. No extra screens to watch and fewer rounds into dusty, hazardous areas – your team makes decisions, the camera does the watching.

What do unplanned stops cost you?

Use your own numbers. Nothing is sent anywhere.

Annual cost at risk €120,000

Downtime is only part of it. Bed sand, fuel purchasing and wood loss add to the payback – we estimate those with you during the site assessment.

Let's see how much of that we can catch

How we work

From first walk-through to alarms in your control room.

Low risk, step by step. Start with one camera on one line, and expand once it has paid back. You decide at every stage based on results from your own process.

  1. 1

    Site assessment

    We walk your fuel handling, boiler house or wood room with your team. We find where vision pays back fastest, check what you can actually do with the result – and tell you if it isn't a fit.

  2. 2

    Proof of concept

    One rig on one target, on your own material. We agree success criteria up front and compare the results with your existing process data.

  3. 3

    Production

    Measurements and alarms go into your automation system like any other signal, with the evidence image behind each one – no extra screen to watch.

  4. 4

    Operate & improve

    We check measurements and cameras every month, and recalibrate the models when your material, light or camera changes.

How it runs

No IT project

Analysis runs on our servers in Finland or Sweden. The transmitter box connects through its own modem and VPN, so you don't need to provide a server or network. Prefer your own server? The same system runs there too.

Results in your DCS

We write results to your system over OPC UA, or you read them from our OPC UA server or REST API. Traditional mA signals work too. Images and trends are in a web interface.

Installed in a short stop

We deliver the rig, installation plates and transmitter box. Your own maintenance staff mount them and bring power – usually 1–2 hours in total, with us there to help. The conveyor only needs to stop for the 10–20 minutes of work over it, which fits in a normal short stop.

Maintained, not abandoned

Monthly health checks, model recalibration and updates are part of the service. Support in Finnish business hours.

A sintered lump of bed sand held in a gloved hand next to a conveyor

Proven on site

Running where it matters.

At Pori Energia, continuous camera-based monitoring of critical fuel conveyor equipment helps secure plant availability. Our applications have been developed with operators of Finnish biomass power plants and the forest industry – in real dust, real heat and real winters.

Behind it is roughly twenty years of hands-on experience in industrial data analytics and machine vision projects, especially in power plants and forest industry.

FAQ

Questions operations managers ask us

Will it work on our material and conditions?

Dust, changing light and varying material are what usually make plant cameras unreliable. Our rig has its own lighting and a fixed view, so the images stay comparable shift after shift. Before you commit, the proof of concept runs on your own material and is checked against your existing process data – so you see what it detects, and what it doesn't, before investing further.

What if we can't act on what it detects?

Then it isn't worth doing, and we'll say so. In the site assessment we go through what can actually happen after an alarm – an operator action, a feed or air adjustment, a sand change, supplier feedback – and pick targets where the answer is clear.

Does it add work for our operators?

It should take work away. Measurements and alarms arrive in your automation system like any other signal, with the image behind each one. Hardware, servers and models are maintained by us.

We have our own AI / data team. Why work with you?

We're happy to work alongside them. What we bring is a camera rig built for dusty process environments, images and experience from similar plants, and models that are maintained over time. Results are open to your own systems through OPC UA and a REST API, so your engineers can focus on using them to optimise the process.

Can we start small?

Yes – that's the usual way. One camera on one target, and expand to more lines once the first one has paid back. A second application can often use a camera that's already installed – for example, stone detection on the debarking camera.

What do we need to do for the installation?

We deliver the rig, its installation plates and a transmitter box. Your own mechanical and electrical maintenance staff mount them and bring power – usually 1–2 hours of work in total, with us there to help. Only the work over the conveyor needs it stopped, typically 10–20 minutes once everything else is ready – about as long as a normal short conveyor stop. In our hosted setup you don't need to provide a server or a network connection, and in the best cases everything is up and running within a few days.

Can you use our existing CCTV cameras?

Sometimes. Some applications, such as log jam warning, often work with a standard security camera. Reliable measurement usually needs a fixed view and controlled lighting – which is why we built our own rig. We'll tell you honestly during the assessment.

How do results reach our operators?

Into your automation system (DCS), as normal measurement signals and alarms. We can write them to your system over OPC UA, you can read them from our OPC UA server or REST API, or we deliver traditional mA signals. The images behind every value are in a web interface.

Where does the analysis run?

Usually on our servers in Finland or Sweden. A transmitter box next to the camera connects to them through its own modem and VPN. For very fast response, the analysis can run on the edge computer in that box. And because everything runs in containers, the whole system can also run on your own server if you prefer.

What happens when our fuel or process changes?

Model accuracy can drift when your material, lighting or camera changes – that's normal. We check measurements every month and recalibrate the models with new images from your site when needed. That's part of the service, not a one-off project.

Do you work with waste-to-energy and recovered fuels?

Yes, as development projects. Waste and recovered fuels vary a lot, so we can't promise the same results as in biofuel, ash and wood handling. We agree goals and success criteria together up front.

How do we get started?

Book a site assessment below. We'll look at your process together and propose the target with the best payback – or tell you honestly if vision isn't the right tool. No obligation.

Contact

Let's look at your process together.

Not sure yet where to start? That's the most common starting point. Tell us about the incident or the doubt you have in mind – we'll help you find the target with the best payback, and tell you honestly if vision isn't the right tool.

Ville Laukkanen

Industrial data analytics & machine vision for power plants and forest industry

Book a site assessment

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