MAMBO

Calibrated color measurement for
database matching

MAMBO hair color claims imaging degradation matching database grey hair

Features

Icon MAMBO hair color dyes degradation testing claims CIELAB colorimeter imaging color matching

INSTANT COLOR MATCHING

Real-time sample and database color comparison

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AUTO-CALIBRATED

Constant calibration of the light illumination intensity and color

Icon MAMBO hair color dyes degradation testing claims CIELAB colorimeter imaging

HAND-HELD

Small system with an easy grip for on-the-go measurements

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PERSONAL DATABASE

Build the database with the colors you use the most​

Overview

Professional colorists do not measure hair color in a standardized way – as are L,a,b values and CIELAB references – but usually compare it to a hair color catalogue (database). The MAMBO device has been developed to mimic expert professional colorist. MAMBO is a hand-held sensor that can be used on hair swatches or directly on the model head.

Connected to a computer, its dedicated software allows immediate hair color identification with higher accuracy than human perception (see below). Just place MAMBO on the swatch you want to characterize to automatically identify its color. MAMBO delivers the closest color match in the database already available, or your personal database that you would have entered beforehand. No adjustments are necessary for the operator : MAMBO will automatically configure itself for optimum measurement.

MAMBO hair color dyes degradation testing claims CIELAB colorimeter imaging color matching presentation in-vivo in-vitro

Color Matching performance

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Optical scientists
46%
Professional colorists
50%
MAMBO hair color dyes degradation testing claims CIELAB colorimeter imaging color matching
MAMBO
95%

* results based on a 50 samples study using Paul Mitchel swatch book
7 opticals scientists and 8 professional colorists took part in the study

Principle

There are several reasons as for why it is so difficult to correctly identify hair colors :

  • The color of the light illuminating the object affect the color perceived by the observer
  • The orientation of your light source and the geometry of your sample will affect how it reflects the incident light, and therefore, the color we perceive
  • The observer subjectivity and experience in assessing color

The MAMBO uses a specific geometry – a diffusive sphere – and a stable LED illumination that allows the user to always take color measurements in the same conditions. Moreover, the color-calibrated 12-bit camera enable a high-precision comparison of the color of the hair fibers measured and those in its databases without any subjectivity.

This comparison is done by calculating the minimum “color distance” between the sample color, extracted from the image taken by the camera, and all the color of the database. 

MAMBO hair color dyes degradation testing claims CIELAB colorimeter imaging color matching presentation in-vivo in-vitro technology principle formula
MAMBO hair color dyes degradation testing claims CIELAB colorimeter imaging color matching presentation in-vivo in-vitro technology principle

A specific calibration allows the MAMBO to calculate the Lab color values from the RGB color values provided by the system. From those Lab values, it is then possible to calculate the DE* value that quantifies the perceived distance between to colors. This tool is of great use as a metric to measure, for example, hair color degradation.

Colored hair 1
Colored hair 2
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Colored hair 3

Specifications

TECHNICAL SPECIFICATIONS
Color Identification accuracy
(measure on Paul Mitchell swatch book)
96 %
Sensor
GigE Color 12 Bits Camera
Power supply
15 Vdc
ROI
0.25” diameter
(6.35 mm diameter)
Software
MAMBO 2.0
Computer
Laptop (Windows 10)
Database
Paul Mitchell Swatch Book
(Artificial hair) 113 elements
Calibration
Factory calibrated
Output
CIEL*a*b* 1976 color values
Color match /database

Resources

Scientific publications​