How does AI skin analysis work? In short: a camera booth photographs your face under eight or more kinds of light — ordinary daylight, polarized light, UV and Wood’s light among them — and software measures what each image reveals: oil and congestion, pigment sitting under the surface, diffuse redness, pores, lines and texture. It then compares those numbers with people your own age and hands back a ranked list of what your skin actually needs. That is the engine behind our AI skin analysis Montreal service. This article opens the hood: what each light is really doing, what the “AI” part means, where the technology is genuinely useful — an unbiased second opinion, progress you can prove — and where it honestly is not.

“A mirror shows you today’s skin. A scan shows you the skin you will be dealing with in two years — while there is still time to do something gentle about it.”The IPLLAB skin analysis philosophy

What this article covers

Why can’t a mirror — or even a trained eye — see everything?

Your bathroom mirror is a terrible instrument. The light changes by the hour, the glare bouncing off the skin’s surface hides everything beneath it, and the person looking has an opinion. Most of us stare at the one spot we dislike and miss the slow, even changes that matter more — a little more redness across the cheeks every winter, pigment quietly gathering under skin that still looks clear.

Professionals have the same problem in a milder form. A good esthetician reads skin well, but she reads it under room light, from memory, and she cannot tell you whether your pores are two percent better than in March. Human eyes are excellent at recognizing and poor at measuring.

The fix for all three is older than most people think. In 1903 a Baltimore physicist, Robert W. Wood, built a filter that blocked visible light and let long-wave ultraviolet through. Within a generation, skin doctors were using “Wood’s lamp” in darkened rooms, because certain things in skin — pigment, oil, some bacteria — glow or darken under it in ways daylight never shows. A modern skin scanner is, at heart, that same idea multiplied by eight, photographed by a high-resolution camera and handed to software that never gets tired of counting.

How does AI skin analysis work, one light at a time?

You rest your chin in an enclosed booth that shuts out room light, so every photo is taken under identical conditions. The camera then fires a sequence of captures, each lasting a few seconds, each using a different kind of light. No single image tells the story; the information is in the differences between them.

Here is what each mode is for, in plain language:

Notice that none of this is exotic. Polarized and UV photography have been used in dermatology research for decades. What has changed is that the whole sequence now takes about as long as a passport photo, and that software can read the results consistently.

What does the “AI” actually do with those photos?

The word gets thrown around loosely, so it is worth being specific. The AI in a skin scanner is image-recognition software: models trained on very large numbers of face photographs to find and outline features — a pore, a line, a brown spot, a glowing follicle — the way your phone finds faces in a photo album. It does not “understand” your skin. It counts and measures, quickly and the same way every time.

Two caveats belong here rather than in the fine print. The skin age is an estimate, a convenient summary of many measurements, not a verdict on you. And the ageing projection is a simulation, not a prophecy. Their real value is as a number to beat at the next scan.

Is an AI scan really an independent opinion?

This is the benefit clients mention most, and it deserves a careful answer. Anyone who has walked into a clinic or up to a beauty counter knows the uneasy feeling: is this recommendation about my skin, or about what they would like to sell me? A scan changes the conversation, because the measurement is made by something with no stake in the outcome. The algorithm does not know which package costs more. It has no monthly target, no favourite brand and no bad day. It applies the same yardstick to a twenty-year-old student and a sixty-year-old executive, and it will happily report that your skin is in better shape than you feared and needs very little.

It also evens out the people in the room. Two estheticians can honestly disagree about whether your main issue is dehydration or oiliness. The images settle it, and you can see the evidence yourself instead of taking anyone’s word.

So, honestly: the scan is an independent measurement, read with you by a person who works for the clinic. We think that combination is the right one — and the fact that you leave with the full report is what keeps it honest. If a recommendation does not match what the images show, you will be able to tell.

How does a scan track progress — and why is a selfie not enough?

Skin improves slowly, and slow change is invisible to the person living in it. Pigment fades over several skin cycles of roughly a month each. Collagen rebuilt after microneedling arrives over weeks to months. By the time a treatment has truly worked, you have usually forgotten what you looked like at the start — which is how people abandon good plans halfway, or keep paying for ones that are doing nothing.

Before-and-after selfies do not solve this. A different window, a different time of day, a slightly lifted chin or a new phone will manufacture or erase an “improvement” all by themselves. A scan removes those variables: same enclosed booth, same lights, same distance, same head position, same software. When two scans differ, your skin is what changed.

One practical note: re-scanning every week is pointless. Skin does not change on that timescale, and small scan-to-scan wobble is normal. Watch the trend across a series, not a two-point move between visits.

What does a scan change for your particular concern?

The general benefits — objectivity, tracking, early warning — become concrete once you look at a single concern. Pick yours:

Beyond individual concerns, three quieter benefits tend to pay for the scan on their own:

What about hair, scalp and single spots?

The booth photographs the face. For everything else there is a handheld microscopic probe — a small magnifying camera placed directly on the skin or scalp, with the image shown live on the screen.

What can’t an AI skin analysis tell you?

A tool is only trustworthy when its limits are stated out loud. These are the ones that matter.

How do you prepare, and what happens at the appointment?

Preparation is simple and mostly consists of arriving with nothing on your face.

How much does a skin scan cost — and when is it free?

On its own, an AI skin analysis at IPLLAB is $150 + tax with no commitment: full-face scan, hair, scalp and imperfection close-ups, a proposed plan and the 40-page report. It is included free with any package of 6 or 10 sessions and with any membership plan, where it serves as the baseline and is repeated along the way. Three-session starter packages do not include it. The consultation itself is always free.

A few representative packages that include the scan — prices are current package totals before tax, confirmed at your free consultation:

The same applies to every 6- or 10-session package in the online store. If you do not yet know which package fits, that is exactly what the scan is for — book the consultation first.

What makes a skin analysis at IPLLAB different?

Plenty of places own a scanner. What matters is what happens around it.

Sources: Cleveland Clinic — Wood’s lamp examination · American Academy of Dermatology — how to perform a skin self-exam · Science Advances (2022) — disparities in dermatology AI performance across skin tones

Medical disclaimer: this article is for general information only and is not medical advice. An AI skin analysis is a cosmetic assessment; it does not diagnose skin disease or screen for skin cancer. Any lesion that changes, bleeds or has irregular borders should be assessed by a physician. Scores and skin-age estimates vary between individuals and between scans.