page 1 of 40 - bossanovatech.com · page 1 of 40 bossa nova technologies tel: (310) 577-8113 11922...

of 40

Bossa Nova Technologies Tel: (310) 577-8113 11922 Jefferson Blvd. Fax: (310) 943-3280 CULVER CITY CA 90230 www.bossanovatech.com USA [email protected]

of 40


This Manual describes MAMBO hardware and software. Use this manual as a reference when working with your MAMBO. About MAMBO: MAMBO is a turnkey imaging system dedicated to hair color identification. Application of the MAMBO ranges from claim substantiation and color efficacy testing, to basic analysis of hair coloring and quality control.

Bossa Nova Technologies reserves the right to make changes to this manual and to the items described therein without notice. Bossa Nova has taken considerable effort to ensure that the information in this manual is accurate and complete. However, Bossa Nova Technologies will not be liable for any technical or editorial errors or omissions made herein or for incidental, special or consequential damages of any nature resulting from the furnishing of this manual, or operation and performance of equipment in connection with this manual.

of 40


1. QUICK START ...................................................................................... 4

1.1. Unpacking .............................................................................................. 4

1.2. Connecting............................................................................................. 4

1.3. Starting measurement and analysis with MAMBO ................................. 6

1.4. Hardware check-up ................................................................................ 8

2. BOLERO SOFTWARE ............................................................................ 9

2.1. Live image ............................................................................................. 9

2.2. Measurement ...................................................................................... 11

2.2.1. Live Tab ................................................................................................ 12

2.2.2. Statistical Tab ....................................................................................... 13

2.2.3. Options Tab .......................................................................................... 17

2.2.4. Cielab Tab ............................................................................................ 18

2.2.5. Live Only/Statistical button .................................................................. 23

2.3. Analysis ............................................................................................... 24

2.3.1. COLOR ID .............................................................................................. 24

2.3.2. DATABASE ............................................................................................ 27

2.3.3. WORKSHEET ......................................................................................... 33

2.3.4. COLOR CONSISTENCY ............................................................................ 34

3. Technical Background ....................................................................... 37

3.1. Closest color ........................................................................................ 37

3.2. Match .................................................................................................. 37

4. Specifications ................................................................................... 40

of 40


1. QUICK START

1.1. Unpacking When unpacking the system, please make sure you have all the following items (Figure 1):

MAMBO Laptop (with

cables) GigE POI Cable GigE Cable Power Supply

(15 Vdc) Figure 1: BOLERO components

1.2. Connecting MAMBO is connected to a laptop for data/image acquisition, processing and data visualization/analysis/management via a GigE cable with POI (Power over internet) plus a regular GigE cable (Figure 2).

Step1: Connect the GigE POI to the laptop internet connector

of 40


Step 2: Connect the GigE POI to the power supply

Step 3: Connect MAMBO to the GigE POI using the GigE cable

Figure 2: MAMBO Connection to LAPTOP and POWER SUPPLY

Switch MAMBO on and you should see the light on. If you do not see any light, please contact us.

of 40


1.3. Starting measurement and analysis with MAMBO

Switch MAMBO on and start the laptop. MAMBO icon shortcut is on the desktop Figure 3).

Figure 3: BOLERO shortcut

Click on MAMBO icon. The following window pops-up (Figure 4).

Figure 4: BOLERO pop-up window

After few seconds of initialization and hardware check-up, MAMBO main window appears (Figure 5).

of 40


Figure 5: MAMBO Main window

of 40


1.4. Hardware check-up At the start of the software, a hardware check-up is operated to be sure the camera and the LED Ring are operating at full performance. If the camera is not detected or is not functioning properly, a pop-up window appears (

Figure 6:).

Figure 6: Camera problem – Pop-up window

If you (re)connect the camera, please wait few seconds before clicking on Try again as GigE camera takes time to register. If the message keeps popping-up, please click on Exit and contact us. Clicking on Exit will exit the software If the Led Ring is off, the following pop-up window appears (Figure 7).

Figure 7: LED Ring problem – Pop-up window

of 40


2. BOLERO SOFTWARE MAMBO main window can de decomposed into 3 parts (Figure 8):

1. Live image (Left top) 2. Measurement (Left) 3. Analysis (Right)

Figure 8: MAMBO Main window – 3 parts

2.1. Live image Figure 9 shows the live image part of the main window.

Figure 9: Live image

of 40


On the left of the live image is the ROI (Region Of Interest) selection that adjust the size of the measurement area. 3 sizes (1, 2 and 3, from small to large) are selectable. The ROI is circular and is depicted in RED in the live image. The table below summarizes the diameter and area of each ROI size.

ROI Diameter Area

1 4.5 mm (~ 3/16 “) 16 mm2 (0.024 square inch)

2 6.5 mm (~ 1/4”) 33 mm2 (0.05 square inch)

3 10 mm (~ 25/64”) 78 mm2 (0.12 square inch)

On the center is the live image (Figure 8). When MAMBO is placed on a new sample, it automatically adjusts the exposure of the camera in order to deliver the best precision on the measurement. An AUTO-EXPOSURE message appears at the bottom of the image (Figure 10)

(a) (b)

Figure 10: Live image (a) Auto-exposure ON (b) Auto-exposure off

On the right of the live image is the save live image button ( ) to save the live image as a .png file (Figure 11). Once the user clicks on it, the pop-up window appears.

of 40


Figure 11: Save live image

2.2. Measurement

Figure 12 shows the measurement part of MAMBO main window.

of 40


Figure 12: Measurement

There are 4 tabs: - Live - Statistical - Options - Cielab

2.2.1. Live Tab Figure 13 shows the live tab.

of 40


Figure 13: Live tab

The live tab displays the intensity [L, R, G, B] and the CieLab value [L ,a, b] measured on the sample in the ROI.

2.2.2. Statistical Tab Figure 14 shows the statistical tab.

Figure 14: Statistical tab

of 40


The statistical tab allows the user to proceed to LRGB measurement versus time. The

measurement is displayed on the graph. The time target control allows to adjust the time between each measurement (in seconds). The #max

measurement control allows to adjust the maximum number of

measurements. The indicator gives the current measurement value.

To start a temporal measurement, click on . The temporal button turns green and the graph automatically updates (Figure 15).

Figure 15: Temporal measurement on

Once the temporal measurement is finished, the temporal data button returns to normal, the i indicator shows 0 and the Intensity average and Lab average are displayed (Figure 16).

of 40


Figure 16: Temporal measurement finished

The Clear Data button allows to clear the data. The Get Data button allows to transfer the temporal data to statistical analysis. The Save Data button

allows to save the temporal data in a Excel or text file. Click on it and a pop-up window appears (Figure 17) to ask to save the data as Excel or text file.

of 40


Figure 17: Saving the temporal data as Excel or text file

The usual pop-up window appears to save the data (Figure 18).

Figure 18: Saving temporal data

The moving ROI button allows to proceed to temporal measurement while the ROI is moving over the measurement area. The ROI is automatically selected to small (1), the time target is set to 0.025 s and the maximum number of measurement to 99. The Temporal Measurement button and the moving ROI button are on and green. (Figure 19)

of 40


Figure 19: Moving ROI on

This Moving ROI technique will be detailed further.

2.2.3. Options Tab Figure 20 shows the Options tab.

of 40


Figure 20: Options tab

These options are self-explanatory.

The last one allows to select if the keystroke m or a click on the footswitch triggers moving ROI or only temporal measurement.

2.2.4. Cielab Tab Figure 21 shows the Cielab tab.

Figure 21: Cielab tab

The Cielab tab allows the user to select the calibration matrix used for Lab measurements. It is possible to load different Cielab calibration matrix depending on the type of color measurement to be done. For example, if the color to be measured are in the red shade domain, we recommend to use a Cielab calibration matrix created with only red elements. The Cielab Calibration matrix allows to transform RGB measurements into Lab values. It is a text file that can be stored anywhere on the computer. We recommend to save it in MAMBO software. MAMBO comes with a preloaded Cielab Calibration Matrix that has been measured with all the elements of an X-rite Color checker. It is possible to create a different Cielab calibration matrix

by clicking on . This will open a new window (Figure 22).

of 40


Figure 22: MAMBO Cielab calibration window

The user can first click on to open a database created with MAMBO and using all the element of an x-rite color checker (

Figure 23).

of 40


Figure 23: X-rite color checker

As the Lab values are known for each element of the X-rite color checker, we can easily create a Cielab calibration matrix to go from RGB to Lab. The name of the element and the Lab values are given below (Figure 24).

Figure 24: X-rite color checker – Lab for each element

Be sure that the names of the element are correct. After clicking on , the pop-up window appears (Figure 25).

of 40


Figure 25: Pop-up window for loading color checker database

We select the one named Color Checker X-rite June 2017 and we can now see all the elements in the list (Figure 26).

Figure 26: Color-checker elements list

of 40


The Cielab calibration matrix has been created using all the elements of the X-rite color checker. The user can create a different Cielab Calibration matrix more adapted to its

needs by selecting elements of the list and by clicking on . If less than 4 elements are selected, the pop-up windows appears (Figure 27).

Figure 27: Pop-up window

When the elements are selected, the user clicks on and the new matrix is created (Figure 28).

of 40


Figure 28: New Cielab calibration matrix created

The user can then save the new Cielab calibration matrix as a text file by clicking on

.

2.2.5. Live Only/Statistical button

The live only/statistical button or allows the user to switch between live or statistical data when using worksheet tab or color consistency tab. This will be explained in more detail.

of 40


2.3. Analysis Figure 29 shows the analysis tab.

Figure 29: Analysis tab

There are 4 tabs: - COLOR ID - DATABASE - Worksheet - Color Consistency

2.3.1. COLOR ID Figure 29 shows the COLOR ID tab. On the top, the DATABASE indicator

gives the database used for color identification. Just under is the indicator

giving the Cielab Calibration matrix used when the database was created. Under is another indicator

that indicates if the current Cielab calibration matrix is the same one as the one used for the database, allowing Lab measurement. Under is the last indicator that indicates if the database was created

with statistical data and moving ROI .

of 40


Next on the right is the Boost button or and its value indicator

. If Boost is off, its value is 100. Under these controls and indicators, another tab is present: - Live - Statistical

2.3.1.1. LIVE

Figure 30 shows the live tab.

Figure 30: Live tab

There are various indicators. On the left of the window are the CLOSEST COLOR results. On the right of the window are the MATCH results [CLOSEST COLOR and MATCH will be explained in detail later on.]. The closest color indicator

gives the closest color in the

database. The distance match indicator delivers the RGB distance between the sample and its database closest color.

Delta E indicator gives the calculation of the Cielab difference between the sample and its database closest color. The just noticeable difference (JND)

of 40


indicates if delta E is under 2.3 (Green) or over (Red). The closest color image shows the database image corresponding to the closest color.

The match indicator gives the matching

database color or no match .

2.3.1.2. STATISTICAL

Figure 31 shows the statistical tab:

Figure 31: Statistical tab

This tab is very similar to the live tab except that now the value delivered are averaged over the quantity of measurement. The % hit (closest color)

gives the % of hit i.e. the number of time the database closest color was selected divided by the number of measurements. This indicator gives the database closest color with the highest hit %. Another indicator

gives the full list. Similar indicators are given for

of 40


the matching color i.e. % hit (Match) and the full list

.

2.3.2. DATABASE Figure 32 shows the database tab.

Figure 32: database tab

2.3.2.1. Database selection

On the left top is the database selector . Clicking on it will show all the database stored in the computer (Figure 33)

of 40


Figure 33: Database list

The user can select one of these database to proceed to color identification. Once the database is selected, a list of all its elements is given, with the total number of elements (Figure 34).

Figure 34: Element list – Total number of element

of 40


Another indicator gives a table summarizing the clutter of close elements i.e. elements whose respective distance is under 50, with the number of close connections (Figure 35).

Figure 35: Close elements table – Number of close connections

Under the table for the close elements are the same indicators as the ones on Color ID (Figure 36).

Figure 36: Database indicators

They gives information about the Cielab calibration matrix used for the database, its comparison with the current one and if the database has been created with statistical data.

2.3.2.2. Building a database

Clicking on build new database button to build a new database. A pop-up window appears, asking for the new database name (Figure 37).

of 40


Figure 37: Pop-up window for new database name

Once the database name is entered, another pop-up window appears (Figure 38).

Figure 38: Live/stat pop-up window

If Statistical database was already selected, this pop-up window does not appear. The user can then switch to statistical database or stay in live only. Remember that live only database will not allow Match color id analysis but only closest color analysis. The following window appear (Figure 39).

Figure 39: Building database – in progress

In the right top corner, the indicator indicates that the DATABASE CREATION is IN

PROGRESS .

of 40


Because the Statistical Database is on , the Add button is greyed and disabled. Once temporal measurement using moving ROI will be acquired, the add button will be enabled If Live database was on, the add button would be enabled (Figure 40).

Figure 40: Building live database

Clicking on the stop button will end the database creation process.

To add an element to the new database, click on the add button . A pop-up window appears asking for the name of the new database element (Figure 41).

Figure 41: Pop-up window for new element name

Once the name is entered, another pop-up window appears, asking to go on with adding database element(s) or to end the database creation (Figure 42).

of 40


Figure 42: Done with the database or adding more elements

Clicking on the “I’m done with the database” will bring back the main window. Clicking on NEXT will repeat the first step.

2.3.2.3. Adding an element to an existing database

Clicking on Add element to database allows the user to add a new element to an existing database. A warning pop-up window appears if the current database and the new element to be added have different live only or statistical options (Figure 43).

Figure 43: Pop-up window – Live only or statistical

2.3.2.4 Delete an element Clicking on Delete element from database allows to delete an existing database element. If no element was selected, the following pop-up window appears (Figure 44)

Figure 44: No element selected

Once an element has been selected to be deleted, a confirmation pop-up window appears (Figure 45).

of 40


Figure 45: Are you sure you want to delete that element?

2.3.2.4. Live/statistical database

The live/statistical database button or allows the user to switch between Live only measurement recorded in the database or statistical measurement recorded. Note that if the database is recorded with live measurement only, MATCH analysis will not be possible.

2.3.3. WORKSHEET The worksheet tab allows the user to save measurement and export them to a text or excel file (Figure 46).

Figure 46: Worksheet tab

Click on the Add button to add the current (live or statistical) measurement. A pop-window appears asking for the name of the measurement (Figure 47).

of 40


Figure 47: pop-window for the name of the measurement to be added

The clear button allows the user to clear the worksheet.

The save button allows the user to save the worksheet as an Excel file or a text file. A pop-up window appears asking for excel or text file (Figure 48).

Figure 48: Pop-up window

The worksheet is composed of 18 columns. # SAMPLE CLOSEST

COLOR MATCH DATABASE CC

(%) MATCH

(%) L R G B L a b CC

Distance Delta

E Cielab

calibration Matrix

Live/Stat

2.3.4. COLOR CONSISTENCY The color consistency tab allows the user to check on the consistency of an existing database versus time (Figure 49).

of 40


Figure 49: Color consistency tab

Before starting color consistency using the Start Color Consistency button

, the user needs to select the database to be checked (Using the usual DATABASE tab and selecting the database from the database list). The indicator

database gives the selected database.

Clicking on starting color consistency button starts the color consistency process. A pop-up window indicates which sample of the database needs to be measured.

Figure 50: Pop-up window – Sample to be measured

Once the sample is positioned, the measurement can occur, live or statistical. Once it is

done, just click on the add button and the measurement is added to the table.

of 40


The process is repeated until the last database sample. Once the last sample is measured, a pop-up window appears.

Figure 51: pop-up window – Color consistency is done

The save button is now enable and the user can save the data as an Excel file or text file.

of 40


3. Technical Background COLOR Identification is the process of identifying the color in an existing database. Various concepts exists. MAMBO uses 2 of them in its processing, they are detailed in the following paragraph.

3.1. Closest color One of the simples color id processing is the calculation of the “color distance” of the sample to be identified with all the database sample and the identification of the color being the color that gives the minimum distance. The color distance between the sample to be identified and a database sample is defined by:

𝐶𝑜𝑙𝑜𝑟 𝐷𝑖𝑠𝑡𝑎𝑛𝑐𝑒 = √(𝑅 − 𝑅𝑑𝑎𝑡𝑎𝑏𝑎𝑠𝑒)2 + (𝐺 − 𝐺𝑑𝑎𝑡𝑎𝑏𝑎𝑠𝑒)2 + (𝐵 − 𝐵𝑑𝑎𝑡𝑎𝑏𝑎𝑠𝑒)2 With R,G,B the RGB value of the sample to be identified and Rdatabase,Gdatabase,Bdatabase the

RGB values of the database sample. The minimum color distance identifies the element of the database with the closest color. Note that this technique remains performant when the color to be identified is included in the spectral band covered by the database sample. For example, if a red textile is to be identified using a database composed only of blue tones, a closest color will be delivered, even if it is non representative. That technique always delivers a result.

3.2. Match The match processing is a more restrictive technique. Because of the nature of hair swatches (non-uniform color and strong texture), color measurement by MAMBO present variations. Figure 52 shows the spatial variations of the L, R ,G, B values when the Region of Interest (ROI) is moved over the hair swatch image.

of 40


Figure 52: Spatial variation over 10N hair swatch

We can conclude that there’s around 2% variation of the LRGB values over a hair swatch. This is far superior to the variations of the RGB values over time - without moving the sensor - that are around 0.1% (measured over 12 hours) i.e. 20 times less than the variations due to the non-uniformity of the hair swatch color. We believe that this variations are due to the local shades created by the 3D nature of the hair swatch and its fibers. If we visualize the data in a 3D RGB space, we obtain the following point cloud (Figure 53).

Figure 53: Point cloud in RGB space

It is interesting to notice that the point cloud is not a sphere but more of a rectangle shape. Figure 54 shows the point cloud fitted by a rectangle.

of 40


Figure 54: Point cloud fitted by a rectangle

Using that property, we can now create a database while using the moving ROI technique on the hair swatch and fitting then by a rectangle for each color. Each color of the database is represented by a rectangle in the RGB space. MAMBO color matching algorithm can now be defined when live data (RGB) are contained in a color rectangle. This is a very restrictive technique and it can deliver no match. Using the boost parameter to increase the size of each database rectangle, we can loosen up the match processing.

of 40


4. Specifications

MAMBO Technical specifications

% color identification accuracy (Measured on Paul Mitchell Swatch Book)

96

Sensor GigE Color 12 Bits Camera

Power Supply (included) 15 Vdc

ROI 0.25” diameter (6.35 mm diameter)

Software MAMBO 3.30

Computer Laptop (Windows 10)

Database Paul Mitchell Swatch Book (Artificial hair) 113 elements

Calibration Factory calibrated

Output Lab values Color match /database

page 1 of 40 - bossanovatech.com · page 1 of 40 bossa nova technologies tel: (310) 577-8113 11922...

Documents