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Thermal image analysis for leak detection: settings, patterns and temperature difference

Prepared and reviewed by Kashf’s technical team · Last updated: · Editorial policy (Arabic)

اقرأ هذا Evidence بالعربية

You point the thermal camera at a wall and a blue patch appears. Is it a leaking pipe, condensation, or just a cold corner? The customer wants a clear answer and a picture they can understand. This is where thermal image analysis for leak detection starts to follow a method instead of a quick impression.

In this guide you will learn the camera settings that make an image fit for analysis, then how to use the Thermal Image Analyzer in Kashf Pro: it finds the anomalous patch and measures its shape, area and direction, calculates the temperature difference in degrees, compares an image taken before a repair with one taken after, and produces a report you can share with your customer.

What is the Thermal Image Analyzer and what does it give you?

It is a tool inside the Kashf Pro app that analyses a photo or screenshot from your thermal camera, whatever the make, because it reads the colours of the palette itself.

It gives you the pattern of the largest anomalous area, its size, its direction and the temperature difference, plus an optional AI opinion that reads the temperature scale and compares before and after, then a report link you can share with the customer.

Who is this tool for?

  • Leak detection technicians with a standalone thermal camera or one that clips onto a phone.
  • Maintenance and waterproofing technicians who document damp before and after their work.
  • Team supervisors who want a consistent standard for their technicians' images.

It is not a tool for homeowners, because a thermal image needs someone who understands emissivity and reflection.

When do you use it?

  • During the search: when a patch appears and you want to know its shape and direction before deciding where to listen or which line to pressure-test.
  • When documenting: to give the customer a marked-up image and numbers instead of “look at the blue bit here”.
  • After the repair: to compare a “before” image with an “after” image from the same angle and with the same range.
  • When you suspect a thermal bridge: if the cold sits in corners and where the ceiling meets the wall.

Where do you use it?

  • Bathrooms and kitchens: supply routes behind tiles and under floors.
  • Ceilings below a bathroom or roof: spreading damp or long linear traces.
  • Roofs and facades: provided you shoot away from direct sunlight.

The app runs in the phone's browser at /pro/app/.

What do you need before you start?

  • A Kashf Pro account: a free trial once per mobile number, then a monthly or yearly plan or usage credits. Each plan's limits are shown on the plans page.
  • A clear thermal image taken with a palette whose name you know: Iron, Rainbow, White hot or Black hot.
  • The temperature scale visible in the image, or knowledge of the lowest and highest temperature in the range.
  • An optional “before” image if you want to compare after a repair.

How to use it correctly, step by step

Thermal Image AnalyzerSubscription — free trial available

The app draws your image and places an analysis rectangle on it, which you move to leave out the scale bar and any text. Inside the rectangle it matches each pixel's colour to the nearest colour in the palette you chose, turning it into a heat index from 0 to 255.

It then calculates the median and how far pixels deviate from it. An anomalous pixel is one further from the median than a statistical threshold (2.5 times the estimated standard deviation, and at least 10 index points). If you choose “Cold spots” it looks for the coldest pixels; if you choose “Hot spots” it looks for the warmest.

It takes the largest connected area and calculates its size as a share of the rectangle, its elongation (the ratio of length to width) and its direction in degrees. Then it classifies the pattern:
- Linear: elongation greater than 3.
- Small spot: area below 3% of the rectangle.
- Touches the edge of the analysis area: the area touches the rectangle's border and covers less than 8%.
- Diffuse: anything else.
- No anomaly: if the largest area is smaller than 0.2% of the rectangle.

The temperature difference is shown as an index out of 255. If you enter the scale's lowest and highest temperatures, it is converted into degrees Celsius by linear interpolation. The “AI opinion” button sends the image and the numbers to the server, which reads the scale and suggests the most likely interpretation.

Steps for correct use

  1. Upload the image

    Open the tool at /pro/app/#/tool/thermal, tap the Image field and choose the screenshot from your camera app. If you have an image from before the repair, upload it under “Before” image for comparison (optional).

  2. Choose the palette and the search type

    Under Colour palette choose the same palette you shot with: Iron, Rainbow, White hot or Black hot. Under Looking for choose “Cold spots” for cold-water leaks and damp, or “Hot spots” for hot-water leaks or for roof-tank water that runs warm in summer.

  3. Adjust the analysis rectangle

    Move the rectangle and drag the circle in its corner to change its width and height independently until it covers only the wall or floor. Leave out the scale bar, logo, date and crosshair, because those are colours, not heat, and they spoil the calculation.

  4. Enter the scale if you know it

    Type the Min °C and Max °C shown on the scale bar, for example 24.5 and 31.0. These convert the difference into degrees. If you leave them blank, the difference is shown as a number out of 255, and the AI can fill them in.

  5. Tap “🔍 Analyse”

    The anomaly is coloured cyan inside the rectangle and framed in yellow. A pattern card appears with four numbers: anomaly area, temperature difference, elongation and direction. This step runs on the phone and does not send the image anywhere.

  6. Ask for the AI opinion, then save

    Tap 🧠 AI opinion so it reads the scale and suggests the most likely interpretation with a confidence level and advice. Each session allows 3 AI analysis requests. Then tap 💾 Save result to get a report link you can share with the customer.

How to read the result

The pattern

  • Linear — usually points to a pipe route: follow the route's direction in degrees, then confirm by listening or with a pressure test on that line.
  • Small concentrated spot — a leak point or a joint: look for a nearby joint, elbow or mixer.
  • Diffuse — damp saturating an area: the water has spread through the layer. The source is usually at the upper edge of the area or the edge closest to the pipework, so do not dig in its middle.
  • The anomaly touches the edge of the analysis area — widen the area: this refers to the edges of the analysis rectangle, not the corners of the room; the area may extend beyond it. Widen or move the rectangle and analyse again before deciding. If the cold remains in room corners and where the ceiling meets the wall, compare with a similar dry corner, because it may be a thermal bridge rather than a leak.
  • No clear anomaly: no difference in the rectangle exceeds the threshold. This does not rule out a leak; the temperature contrast may have been weak when the image was taken.

The numbers

  • Anomaly area %: a share of the rectangle, not of the wall. Change the rectangle and the percentage changes.
  • Temperature difference: the difference between the middle of the anomalous area and the rectangle's median. Values below 1 °C call for caution, because they are close to camera noise and reflection effects.
  • Route direction: the angle of the long axis. Compare it with the expected direction of the pipework.

The AI opinion

It gives the most likely of: supply leak, drain leak, spreading damp, condensation, air conditioning and ductwork, thermal bridge, or no anomaly, with a confidence percentage. With a “before” image it writes “✅ Improved after repair” or “⚠️ No improvement”. Treat it as a second opinion, not a final verdict.

Analyse your thermal image →

Camera settings that make an image fit for analysis

The tool analyses colours, not raw thermal data. The quality of the result therefore starts with how the camera is set up before you press the shutter.

Emissivity and reflection

  • Emissivity: most building materials, such as plaster, paint and concrete, sit between 0.90 and 0.95. Set about 0.93 if you do not know the material.
  • Shiny surfaces: glazed tiles, polished marble and metal reflect your body heat and the lighting. Shoot at a slight angle, and watch for a patch that moves with you, because that is a reflection, not a leak.
  • Reflected temperature: if your camera lets you set it, set it to roughly the room temperature.

Range and palette

  • Lock the range manually: turn off auto-ranging and keep the span narrow, for example 5 to 8 degrees around the wall temperature. A wide range hides a small difference.
  • The same range before and after: if the range changes between the two images the colours change too, and the comparison becomes misleading.
  • Turn off extra layers: visual image blending (MSX), picture-in-picture and coloured isotherm zones all change the colours, and the tool will read them as heat.

Creating a temperature contrast

A leak only shows up when the water temperature differs from the building's.
- Hot line: run the water heater and open the hot water for 10 to 15 minutes, then close it and shoot.
- Cold line: damp cools the surface by evaporation, so it usually looks colder than its surroundings.
- In a Saudi summer, and in other hot climates: water from a roof tank can arrive warmer than an air-conditioned room, so a cold-line leak shows up as warm. Try both modes.
- Facades and roofs: shoot them at night or at dawn, once the solar heat stored in the wall has faded.

A worked example: a living-room ceiling below a bathroom

You photograph a living-room ceiling below a bathroom with the Iron palette, with the scale running from 26.0 to 32.0 °C.

  1. You place the rectangle on the ceiling only, choose “Cold spots” and enter 26 and 32.
  2. The result: a linear pattern, elongation 4.6, direction 12°, area 6.5% and a difference of 2.1 °C.
  3. The route heads towards the washbasin in the bathroom above. You run the hot water for 10 minutes and shoot again in “Hot spots” mode, and a warm line appears on the same route.
  4. The preliminary conclusion: a leaking hot line in the bathroom floor. Confirm with a pressure test on the hot line alone, then listen along the route.

After the repair and drying, you shoot from the same angle with the same range and upload the first image as “before”, and the AI writes “✅ Improved after repair”.

Common mistakes that spoil the result

  • Leaving the scale bar inside the rectangle: its colours represent the whole range, so it is read as a large anomaly.
  • Choosing a palette other than the image's: colour matching fails and the numbers become meaningless.
  • Auto-ranging: the camera widens the range when a lamp or window is in view, and the damp contrast disappears.
  • An image with visual blending or text over the wall: edges and lines are read as temperature differences.
  • Treating cold corners as a leak: corners, ceiling-wall junctions and concrete beams are naturally colder. Compare with a similar dry corner.
  • Shooting under an air-conditioning vent: the air stream paints cold patches.
  • Comparing before and after before the area has dried: residual damp can last for days after a repair. Wait, or measure with a moisture meter.

The honest limits of the tool

  • Photos and screenshots only: the live stream from most thermal cameras is locked inside their own apps, so the tool works on the image after it has been captured.
  • It analyses colours, not raw thermal data: converting to degrees assumes the scale is linear between the minimum and maximum. Some manufacturers' palettes differ slightly from the built-in ones, so the difference in degrees is approximate.
  • One area: only the largest anomalous area in the rectangle is analysed, so analyse each anomaly with its own rectangle.
  • The AI opinion needs a provider connected to the server. If none is connected, the message “AI analysis requires an AI provider to be connected” appears and the on-device analysis keeps working.
  • Three AI requests per session: after that, start a new session, which counts against your plan.
  • A thermal camera does not see behind the wall: it sees surface temperature only. A deep or insulated pipe may leave no trace.
  • The result supports your decision and does not replace it. The shared report itself states that it does not replace a field inspection and professional judgement.

When do you need to escalate?

You are the technician here, but some cases deserve escalation:

  • A second opinion from Kashf: when the thermal image contradicts listening and the pressure test, or when the customer refuses to open up without further confirmation. The Kashf team, which works in Saudi Arabia, inspects electronically without breaking, using thermal cameras, acoustic sensing, pressure testing and safe tracer gas, and hands over a documented technical report. Book from the order page or on WhatsApp at +966544027180.
  • A licensed structural engineer: if you see cracks in the ceiling, exposed rusting rebar or swollen concrete around the damp area. These are safety decisions that a thermal image cannot settle. See leak damage to concrete.
  • An electrician first: if the damp is near sockets, an electrical panel or ceiling lights, switch off the power before any inspection.

Frequently asked questions

Is thermal image analysis for leak detection enough to locate a leak?

Usually not on its own. A thermal image shows surface temperature and how damp has spread, which narrows the search area. Confirmation comes from a pressure test on the suspect line and from listening along the route. Use the tool to guide your decision and document it for the customer, not as the only justification for opening up.

What emissivity should I use for walls and tiles?

Most building materials such as plaster, paint and concrete sit between 0.90 and 0.95, and 0.93 is a sensible value if you do not know the material. Glazed tiles and polished marble are close to that but very reflective, so shoot at a slight angle and watch for any patch that moves as you move, because that is a reflection.

How do I tell a thermal bridge from a water leak in a thermal image?

A thermal bridge appears in corners, where the ceiling meets the wall, and along columns and beams, in a regular shape that follows the structure and repeats in similar dry corners. A leak follows the pipework or spreads from a point with no geometric shape, and it changes after the water runs. Compare with a similar corner in another room before deciding.

How large a temperature difference indicates a leak?

There is no fixed threshold. The difference depends on the water and room temperatures and on when the image was taken. A difference under one degree calls for caution because it is close to camera noise and reflections. A difference of two degrees or more in a linear pattern along a pipe route is stronger evidence. The pattern and how it changes after running the water matter most.

Does the tool work with a thermal camera that clips onto a phone?

Yes. The tool does not connect to the camera directly; it analyses a photo or screenshot. Shoot from the camera's app, then upload the image. What matters is that you know the palette's name, that the scale is visible, and that visual blending and text over the wall area are turned off.

Why does a cold-water leak show up as warm in summer?

In hot summers, such as in Saudi Arabia, water in a roof tank and in pipes on the roof heats up and can arrive warmer than an air-conditioned room. The leak then appears as a warmer patch, not a colder one. So also try “Hot spots” mode, or shoot after the water in the line has cooled overnight.

How do I compare images from before and after a repair correctly?

Shoot from the same position, angle and distance, with the same thermal range and palette, at a similar time of day. Wait until the area has dried, because residual damp can last for days. Upload the old image as “before” and ask for the AI opinion so it states whether the anomaly has improved.

What does “the anomaly touches the edge of the analysis area” mean?

It means the anomalous area touches the border of the analysis rectangle and is small, so it may be part of a route or a patch that extends beyond the rectangle. That is why the tool does not classify it as a thermal bridge or a leak. Widen or move the rectangle and analyse again. If the pattern becomes linear, it is most likely a pipe.

Do I need a subscription to use the Thermal Image Analyzer?

Yes, the tool is part of Kashf Pro. It starts with a free trial once per mobile number, then you choose a monthly or yearly plan or buy usage credits. Each plan's limits and the terms are shown on the Kashf Pro page before you pay.

This guide is educational. It explains estimation tools that help you understand a situation and decide what to do next; confirming a leak and pinpointing it always requires an on-site inspection with instruments. Structural questions are for a licensed engineer to decide.