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PHOEBUS LINK RCX100 Review: 40 mK Is the Figure This Job Needs

The sensitivity figure is the one that matters for finding damp, and this listing spends its specification on it rather than on pixel count. What it takes back is the output: still JPG images only, no thermal video, and no emissivity control mentioned anywhere.

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PHOEBUS LINK RCX100 Review: 40 mK Is the Figure This Job Needs

PHOEBUS LINK · RCX100 Thermal Camera for Leak Detection, 160 x 120 Native IR with 320 x 240 TISR, 40 mK, 25 Hz Handheld Imager

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Price and availability are shown on Amazon and can change at any time.

A handheld thermal camera aimed at leak investigation, with a 160 by 120 infrared detector producing the measured data, a 320 by 240 enhanced image built from it, 40 mK thermal sensitivity, a focus free 40 by 30 degree field of view, a 25 Hz refresh rate, centre, maximum and minimum readings, six palettes, 2x and 4x zoom, adjustable high and low alarms and still JPG capture. The sensitivity figure is the right place to have spent the specification. The output format is where the camera gives it back.

Forty millikelvin is the number that finds evaporative cooling

Thermal cameras are sold on resolution and used on contrast. For the work this one names, the contrast figure is the one that decides whether it succeeds.

Thermal sensitivity, quoted here as 40 mK, describes the smallest temperature difference the camera can separate from its own noise. Forty millikelvin is four hundredths of a degree.

Now consider what a plumbing leak looks like through a lens. There is rarely a hot pipe to see. What there is, usually, is a patch of plaster or screed holding water, and water leaving that patch takes heat with it as it evaporates, so the surface sits slightly cooler than the dry material around it. On an interior wall at stable temperature that difference might be two or three tenths of a degree. Sometimes less.

A camera with 100 mK sensitivity is working close to its noise floor on a signal like that, and the patch appears as mottling that could equally be nothing. At 40 mK the same patch is several times the noise and shows as a shape with an edge.

That is why the specification allocation here is sensible. A 160 by 120 detector pointed at a ceiling from two metres already resolves a damp patch into plenty of pixels. What it needs is to see the contrast at all. Our page on thermal sensitivity explains how the figure is defined.

A JPG is a picture of a measurement

The capture bullet says images are saved as JPG, manually or through the alarm. The limitation bullet adds that thermal video is not recorded. Taken together those two lines define what you can walk away from a survey with.

A JPG is a colour image. Whatever temperatures were on the screen when you pressed the button are burned into it as text, and nothing else in the frame carries a temperature. If you later want to know how warm a point three centimetres to the left was, the file cannot tell you.

The alternative, on cameras that offer it, is a file carrying a temperature value for every pixel. That file can be reopened, remeasured anywhere in the frame, and corrected: emissivity and reflected temperature are assumptions made at capture time, and a per pixel file lets a wrong assumption be fixed rather than invalidating the survey.

Whether that matters depends entirely on what happens to your images. For a homeowner deciding where to lift a floorboard, a JPG is all the evidence needed. For anyone producing a report that an insurer, a landlord or a contractor will dispute, a picture of a measurement is a weaker document than the measurement, and this camera cannot produce the stronger one.

The alarm triggered capture deserves credit in passing. Setting a high or low threshold and letting the camera save a frame when a surface crosses it is a useful way to sweep a large area without watching the screen continuously.

No emissivity control appears anywhere in the bullets

Five bullets describe the detector, the enhancement, the sensitivity, the field of view, the refresh rate, the readings, the palettes, the zoom, the capture, the alarms and four things the camera does not do. None of them mentions emissivity.

Emissivity is how efficiently a surface radiates the heat it holds, and a thermal camera converts radiation to temperature by assuming a value for it. Get the assumption wrong and the number is wrong. Plaster, paint, wood and most building materials cluster in a narrow band near the top of the scale, which is why a camera with a fixed assumption can work well on exactly the surfaces this one is sold for.

It stops working on anything bright and metallic. A copper pipe, a foil faced membrane, galvanised ductwork or a stainless fitting radiates poorly and reflects strongly, so it reports a temperature somewhere between its own and that of whatever it can see, usually far too low. For a camera used to trace plumbing, that is a realistic situation rather than an edge case.

Also absent are a temperature measurement range and any accuracy figure. A camera that displays centre, maximum and minimum temperatures is making measurement claims, and neither the span nor the tolerance of those claims is published anywhere in the listing.

Focus free is a decision with a working distance attached

The third bullet pairs a focus free lens with a 40 by 30 degree field of view, and frames both as fast area scanning. That is the right framing.

A fixed lens has a fixed depth of field, selected so that everything within a chosen distance band is acceptably sharp. On a thermal camera this removes a genuinely common mistake, because a thermal image that is slightly out of focus does not look obviously wrong, it just quietly loses the small contrasts, which on a 40 mK survey is the whole point.

The field of view is the other half of the decision. Forty degrees across is wide, so a short standoff covers a large area of wall or ceiling, which is what you want when the task is to find the anomaly rather than to examine it.

The cost is close range work. A camera that cannot focus closer than its design band cannot resolve a connector, a small component or a bearing housing, and a manual focus camera can. This instrument has been specified for surfaces at room distances, consistently, across three separate bullets.

Twenty five hertz is what lets you sweep a ceiling

Specification Published in the listing
Infrared detector 160 by 120, native
Displayed image 320 by 240, built by TISR enhancement
Thermal sensitivity 40 mK
Field of view 40 by 30 degrees, focus free
Refresh rate 25 Hz
On screen readings Centre, maximum, minimum
Palettes Six
Digital zoom 2x and 4x
Image capture JPG stills, manual or alarm triggered
Alarms Adjustable high and low
Thermal video Stated as not recorded
Per pixel temperature export Not stated in the listing bullets
Emissivity adjustment Not stated in the listing bullets
Reflected temperature compensation Not stated in the listing bullets
Temperature measurement range Not stated in the listing bullets
Measurement accuracy Not stated in the listing bullets
Screen size and resolution Not stated in the listing bullets
Battery life Not stated in the listing bullets
Storage capacity Not stated in the listing bullets

The refresh rate in that table is easy to overlook and changes how the camera is used. At 25 Hz the image keeps up with a moving hand, so a ceiling can be swept continuously while watching for the anomaly. Cameras limited to 9 Hz smear during a pan and effectively force a stop, look, step, repeat method, which over a whole floor is a different afternoon.

Six palettes is more than it sounds too. Palette choice is not decoration: a high contrast scheme makes a weak anomaly visible where a smooth greyscale hides it, and a greyscale makes structure legible where a rainbow turns a wall into noise. Having both is useful.

The blank rows cluster around measurement rather than imaging. The camera is well described as an imager and under described as an instrument, which is consistent with the job the listing claims for it.

The survey this suits, and the report it cannot produce

This is a search camera, and the fifth bullet says so more clearly than most reviews would. It reads surface temperature, it does not see through walls, it does not locate water by itself and it does not report moisture percentage. The first bullet then names the instrument that confirms a finding, a moisture meter. That is the correct two tool workflow published by the manufacturer rather than discovered by the buyer, and it deserves credit.

For a plumber, a property maintenance team or a homeowner trying to narrow down where water is getting in, the combination of 40 mK sensitivity, a wide fixed lens and a 25 Hz image is well matched to the task. Our guide to thermal cameras for finding water leaks covers the method, and our page on whether a thermal camera sees through walls handles the expectation this listing is careful to manage.

It is not the camera for anyone whose images become documents. No per pixel export, no stated emissivity control, no published accuracy and no thermal video together mean the survey cannot be reanalysed after the fact or defended on its numbers. Buy it to find the problem, not to prove it.

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Frequently Asked Questions

Why is 40 mK more useful than extra pixels for leak work?

Because the signal you are hunting is small rather than fine. A damp patch of plaster is cooler than its surroundings because water is evaporating from it, and that difference can be a few tenths of a degree across an area the size of a dinner plate. Resolving the difference is a sensitivity problem. Resolving the edge of the patch is a pixel problem, and on a wall sized target a modest detector already has pixels to spare. A camera that cannot see the contrast cannot find the patch at any resolution.

What does TISR produce, and is it real resolution?

It produces a 320 by 240 image built from 160 by 120 of measured data. The listing is explicit about which is which, describing the infrared detector as the source and TISR as the enhancement, and that wording is more careful than most. Upscaling can make edges easier to look at and cannot add thermal information that was never measured. Judge the camera on 160 by 120 and treat the larger figure as a display convenience.

Why does the file format matter so much?

Because a JPG stores colours and a radiometric file stores temperatures. With per pixel temperature data you can reopen a survey afterwards, move a measurement point, correct an emissivity assumption and recalculate. With a JPG you have a picture of the decisions you made at the time, and the only numbers in it are the ones that happened to be burned onto the screen. For evidence that someone else will question later, that difference is decisive.

What does focus free mean for close work?

It means a fixed lens with a fixed depth of field, chosen to be acceptable across the distances the camera is aimed at. For scanning a wall or a ceiling from a metre or two it is one less thing to get wrong, and a soft focus thermal image is a common and avoidable error. The cost appears up close, where a camera with manual focus can resolve a small component and a fixed lens cannot. This camera is specified for surfaces, not for small parts.

Can it tell you how wet something is?

No, and the listing says so in its own fifth bullet: it reads surface temperature and does not see through walls, locate water by itself or report moisture percentage. That is an unusually direct disclosure. A thermal camera finds a thermal anomaly, and the inference from anomaly to moisture is yours to make and yours to confirm. The first bullet names the confirming instrument, a moisture meter, which is the correct workflow.

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