X-Rite Color-Eye: color identification, not color measurement

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Mid-Summer, while many were on vacation, X-Rite launched a new solution: the Color-Eye. “A unique solution that uses a smartphone and calibration card to help consumers shop for new items that accurately match or complement the color of items they have at home.” That calls for a closer look… 

CONTENTS: Reference based color measurementTest with a similar system | Color identification, not color measurementTwo varieties | Why is this important? 

Reference based color measurement
The X-Rite Color-Eye works with a calibration card, a smartphone and an app. This method is sometimes called ‘reference based color measurement’: it uses a reference with known colors to calculate the value of the photographed sample.

The calibration card has 85 ‘known’ colors and a hole in the middle. Based on these known colors, the app can calculate the color photographed.

X-Rite does something similar with the camera calibration tool ‘Color Passport’, which is also a card with known colors. After having shot a ‘calibration picture’ including the card, the software will adjust the picture colors to the real life values. But to use such a card to measure colors, that’s something different.

Test with a similar system
Some five years ago, I tested a similar system, by a different vendor. And the results were not promising, the system never was launched. One of the problems was repeatability, linked to the way the smartphone was positioned compared to the calibration card: a slight shift in angle would give a different measurement. Measuring the same color a number of times under a different angle gave differences up to a delta E of around 10 (if I recall correctly).

Fortunately, the X-Rite Color-Eye has a – rather simple – solution to this problem: the app will guide you to hold the smartphone in the right position, based on four calibration points on the card.

Also, there is a limitation to the smartphones used: only ‘certified’ devices can be used. They need to have a good camera, a good flash and RAW picture output. Among the certified devices are the latest, top of the line, iPhones and Samsung smartphones. But make sure to check this list upfront!

Color identification, not color measurement
And then there is that other important fact: it is not a color measurement device. It is a color identification device. Confused? Here is the difference: a color measurement device will give you an exact measurement value, e.g. in CIELAB. A color identification device will identify the photographed color as one of the colors in its database, e.g. a database with all kinds of colors of nail polish. The app will check the photographed color with the database of the cosmetic company with all the different colors of nail polish. And it will give you the color that is the closest to your sample.

This color identification is however not a 100% precise match, X-Rite told me. Therefore you do not get one color names, but three. There is an 85% chance that it’s color #1, 95% that it’s color # 1 or 2 and 98% chance that it’s color # 1, 2 or 3. Maybe that’s not what you hoped, but it is a least a realistic approach…

As you can see in this picture, the app will give three possible matches.

 

Two varieties
The calibration cards come in two varieties: a general, all-purpose one and a one specifically geared towards skin tones, which could be very useful for cosmetics. The cards are printed in offset, using eight colors and “to the highest standards”, I was told. But they do have a limited life time, due to the aging of the colors. Remember: if you expose colors too long to sunlight, they will fade. And also another thing to consider: the minimal number of cards you have to buy is 250.000… 

Why is this important?
The X-Rite Color-Eye is a solution that is geared to a very specific use (color identification), in a very specific environment (every application will have its own color database). It is not a general tool. But within the known constraints, it might be an interesting solution. Certainly from a more technical perspective, it’s something interesting. But I don’t think that ‘reference based color measurement systems’ will soon be a solution to really ‘measure’ color. So you better cherish your spectrophotometer… You will need it for the time being.

 

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About the Author

Eddy Hagen
The printing industry has changed significantly over the last few decades. And that change isn't over yet. Eddy Hagen has been observing all these changes from a front row seat, since 1988. He has seen and debunked hypes that still don't deliver. He has seen and promoted small evolutions that had a big impact. He has connected the dots to get a better view. Eddy Hagen is an independent mind who might be able to give you the insights you need.

2 Comments on "X-Rite Color-Eye: color identification, not color measurement"

  1. Henk W. Gianotten | 14/09/2017 at 11:31 pm | Reply

    Intersting article. Did you ever test the solution provided by Techkon? This German producer of density measurement devices ans spectrometers introduced a color control device based on smartphones and color cards. They addressed the cosmetic and food industries and made specific color cards for coffee colors and another one for skin tones.
    The system called Color Catcher provideds RAL-values, sRGB-values and – as they claim on their site – Lab-values.

    • Hi Henk, I didn’t test the Techkon Color Catcher. But the one I tested, half a decade ago, looked very similar. And based on that experience I would be cautious. Their claim that it delivers ‘precise Lab-values’ might give people the idea that it’s a replacement for a – much more expensive – spectrophotometer. Which is probably not the case (but, as I said: I did not test the Techkon Color Catcher, so I can not give a formal judgement).
      And that’s what I like about the X-Rite Color-Eye: they give you three possible matches from a specific color library, with a certain degree of a match, not ‘precise Lab-values’. That’s realistic, that’s what you can expect from this kind of tool.

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