Category Archives: Interesting

B4R (Basic4Arduino) is coming!

Excellent news from Erel (CEO of Anywhere Software).  The excellent B4X suite will support yet another platform: Arduino!  Next to support for all desktop platforms, webapps, Raspberry Pi, Android and iOS this new addition is another great step from Anywhere Software towards the most simple framework to make IoT applications.

Unlike the other platforms which generate Java, B4R will generate native C.  Users will be able to write their own libraries or use inline C for specific functionalities.  More on this later, but make sure you check out the video!



B4i: 1 … 2 … 3 … Ready … Go!

This weekend I’ve found some time to setup my testing environment for B4i, the latest brainchild of Anywhere Software. I must say, being a novice Mac user, setting everything up went very smooth.

The only parts I got into some trouble was my own fault, as I went though the setup tutorials, videos and Beginners Guide just a little bit to fast. Eager to get started, I skimmed through them and forgot some important steps.

First I paid my obligatory taxes to Apple: $99/year. (Programming for Android only sets you back with a one time fee of $25). Only a couple of minutes later, my account was activated.

One part that may have gone a bit to fast for a first time Apple developer was the creation of an App ID. As Erel had his system already setup when he made the video and could just pick an App ID, he did not show us how to create it in the first place. It is mentioned further in the post you can create a single wildcard App ID if you put a .* at the end, but this was not very clear from the tutorial. So, this is how I did it:

Click to enlarge

Click to enlarge

Another RTFM moment was when I wanted to install the B4i-Bridge app on the device. I started watching the video and forgot to read the bold sentence above it:

Before you install B4i-Bridge you must install the B4I certificate. This step is not shown in the video. Open Safari (device browser) and navigate to:

Clearly stated, but hey, I was in a hurry…

I first tried the Hosted Builder option to compile the app. Very smooth and a excellent alternative for Windows developers who do not own a Mac. And for $26 a year, a bargain.

But, as I want to experiment with creating libraries myself in Objective-C, I wanted to install the local MacBuildServer. Again, following the tutorial, everything went very well. Downloading XCode took most of the time.

One note: Make sure your Mac is in the same IP range as the rest of your development environment. At first, the Mac had IP while the rest was in the 192.168.1.x range. So it didn’t work.

The rest was pure cosmetic. I added an shortcut on the Mac to start the MacBuildServer, and one on the PC side to shut it down.

Creating the shortcut on the Mac side went like this:

  • Open up a terminal
  • go to the folder where you unzipped the macserver-aa (in my case, it’s on the desktop, so it looked like this:

    $ cd desktop
    $ cd macbuilder-aa

  • create a text file

    $ shout start.command

  • add the following lines (adjust the cd to the path where your MacBuildServer is)

    cd /Users/Alwaysbusy/Desktop/macserver-aa
    java -jar B4iBuildServer.jar

  • save and in the terminal type:

    $ chmod -x start.command

  • Right click on start.command, pic ‘Get Info’ in the menu and rename it to something like ‘B4i Build Server Start.command’.
    Click ‘Hide extension’
  • And change the icon to a nice B4i one. I’ve ripped the B4i icon from the exe (sorry Erel) and saved it as a .png. In case you need it, here it is:
    Open the png on the Mac in preview and copy it (Edit – Copy). In the ‘Info Panel’ of the command file, click on the icon until it gets a blue rectangle. Then you can do ‘Edit – Past’.
    In my case, it looked like this:


Coming from Windows and being used to creating .bat files, this is all rather complicated on a Mac I must say.

On the PC side I created also the icon to shut the MacBuildServer down. Enter http://:51041/kill in your favorite browser. Create a bookmark and drag it to your desktop. Rename it to something like ‘B4i Build Server Kill’. You can also change the icon:

  • Right click on the shortcut and pick ‘Properties’
  • Press ‘change icon’
  • Browse to where you have installed B4i
  • Pick B4i.exe and select the icon

So (besides my shortcut creation problems on a Mac), setting up B4i is a breeze! I’m ready to add some serious iOS programming experience to my portfolio.

Get B4i now for only $59 from the Anywhere Software Store!

Here are some quick links to the tutorial parts I used:
Creating a certificate and provisioning profile
Installing B4i-Bridge and debugging first app
Local Mac Builder Installation

See ya!


Xojo: THE Canvas reference book

Program the Canvas Control with Xojo Desktop

Program the Canvas Control with Xojo Desktop

I Wish I Knew How To… Program the Canvas Control with Xojo Desktop is the latest book of Eugene Dakin in his excellent I Wish I Knew How To… series.

If you ever wondered how stuff is done with the canvas control in Xojo, this is the book you need to have on your virtual shelf. In his well known swift (no pun intended) style, Eugene has written the reference manual for you. Alwaysbusy’s Corner did some humble contributions to the more advanced topics.

For the novice Xojo user, you quickly can get started and learn about the basics of graphics. Step by step you learn more and more when you move through the more advanced topics. This 400 page volume covers a lot of interesting chapters and includes a lot of useful examples with source code:

Topics included in the book:

Chart Fundamentals
2D Objects
Gaussian Blur
Building basic controls
and there are two games with step-by-step code explanations to help you build your own.

So head over to Eugene’s Personal Website and get your copy. Also check out his other books in the series on topics like SQLite, XML, PostgreSQL, Office etc…

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Xojo: ABThinkGear – Mind Reading with the computer

Using the MindWave in Xojo

Using the MindWave in Xojo

Use the force Luke… In Xojo! ABThinkGear is a wrapper around the ThinkGear engine to use the NeuroSky Mindwave device in Xojo. The wrapper is Windows only.

The MindWave is a cheap mind reader device ($79.99) you can buy online e.g. here. It can do some very basic mind wave readings, so don’t expect it to recognize thoughts or so.

– Raw signal
– Neuroscience defined EEG power spectrum (Alpha, Beta, etc.)
– eSense meter for Attention
– eSense meter for Meditation
– eSense Blink Detection
– On-head detection

But still, it’s a fun little thing to play with!

As always, I tried to build an easy to use framework. Here is the structure:
The actual wrapper around the DLL.
A class containing all the data of one reading (Attention, Meditation, Blinkstrenght, Alpha, Beta, etc…)
A thread that polls the data from the device. The data of a MindWave device is only updated once a second, so the poll happens also only once every second. This is the class you’ll use in Xojo the most.

Some code on the use of the framework:

First we need to initialize the MindWave:

  if not MyThinkGear.Connect("COM9", BAUD_57600, true) then
    MsgBox "Could not connect to headset!"
     ' enable the blink detection
    dim ret as boolean = MyThinkGear.EnableBlinkDetection(true)
  end if

The ABThinkGear class has only one event:

ThinkGearChanged(State as ABThinkGearState)

In this event you receive a State containing all the data of the last reading. It is then up to you to do something useful with this data. In the attached demo, I displayed the incoming data.

Mindwave incoming data display in Xojo

Mindwave incoming data display in Xojo

You get quite a bit of info (although not that accurate as it only uses one sensor):

Properties of the ABThinkGearState class

Properties of the ABThinkGearState class

But you can for example start interpreting the data. e.g. if the Attention level is above 80 (in a range of 0 to 100) you could consider performing a certain action.

A couple of days ago, a project using Google Glass was shown doing exactly that. When the attention level reaches a certain point, they take a picture with Glass. On the next attention peak, they post it to twitter. But this can be done now also with Xojo! (take a picture with the webcam, send it to some social media site using the RESt api, et voila!

Here is a video of the Glass project:

The source code of the framework and Demo can be downloaded from

This framework will be part of the ABXVision framework later.

Cogito ergo sum

“I think, therefore I am”

Happy programming!


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B4i Update: Looks so cool!

Can’t wait to play with this. When you’re used to work with B4A, this looks/feels so natural. I bet the learning curve will be absolutely flat.

…Note that the device is not connected with a cable to any computer.
The debugger is almost fully working. You can put breakpoints, monitor the variables and run watch expressions…

Well done Erel!

Xojo: ABXVision – The use of ABXVImage and filters

DISCONTINUED: Interested parties in purchasing the source code can contact me via email.

ABXVImage and Filters

ABXVImage and Filters

This is the first article on the use of the new ABXVision framework. I’ve decided to start with the most fundamental class: ABXVImage.

ABXVImage is the core image object that will be used in every project you create with ABXVision. It’s a new ‘picture’ object in Xojo that is especially written to optimize the algorithms you can use (Color filters, Edge detectors, Blurs, Corner detectors, Shape Detectors, etc…).

To make it clear if we are working with a Xojo picture or an ABXVImage, I’ve split up the terms:
Whenever I use picture, I mean a Xojo picture. Whenever I use Image, I mean an ABXVImage.

So the first thing we need to do is convert a picture to an image and back:

  ' create a ABXVImage from a Xojo Picture
  dim img as new ABXVImage

Img contains the data of the picture, ready to be processed. We can now make use of the filters. Some basic filters (like grayscaling, a thing you’ll be doing all the time), are also build-in the ABXVImage class.

For example, if we want to grayscale the image for further processing, we can use the following code:


You’ll notice the 8Bit part in the method name. A lot of the methods in ABXVision (like binarization) use this 8Bit pointer to perform their work. As a grayscaled image has the same value in its Red, Green and Blue channel, there is no need to run the whole filter over all 3 channels. Keeping record of one channel will do.

Once this function is performed, the ABXVImage will have its BitDepth property set to ABXVBITDEPTH.BIT8. Now, all other methods can check this property and see if it is ok to perform the action.

If, for some reason we want it back as a 32Bit (24Bit in many cases where no alpha is used), we can use the following code:


This will also set the BitDepth property of the image to ABXVBITDEPTH.BIT32.

Now, after our hard work, we want to have a Xojo picture with the result. This can be done with the GetPicture() method:

   mBuffer = img.GetPicture()

Beware of overusing the GetPicture() method! If you have to run a lot of filters after each other and have no need to see every single step, there is no need to use the GetPicture() method. GetMethod() is mostly called after everything is done, e.g. when the image is analyzed, a glyph is found and the augmented part is drawn on the image.


1. GetPicture() will do a GrayScaled8BitTo32Bit() automatatically if it was a 8 Bit image.

2. To be complete, most methods can handle 32 bit picture (R, G, B + Alpha/Mask), but it’s not advised to use this kind of image. Those methods will also perform their action on the alpha channel, and this takes time. The SetPicture() method will set the image as ABXVMASKTYPE.MASK_NONE, so the Alpha channel is ignored. If for some reason you want your Alpha channel, use the Mask parameter of the SetPicture() method. You can use ABXVMASKTYPE.MASK_OLD (This is the old Realbasic format where the mask is also a complete picture object) or ABXVMASKTYPE.MASK_NEW (This is the new Xojo picture format, with an extra real Alpha channel. This is experimental and not fully tested)

3. A lot of optimization is done using #Pragmas in the framework. This means it will run a lot faster once compiled, but will do also less error checks. Always make sure you follow the rules of the syntax of the method. e.g. if the method asks an array with 4 points, don’t give it one with 3 points. Your program will crash!

Here are the pragmas used:

  #if not DebugBuild
    #pragma DisableBackgroundTasks
    #pragma DisableBoundsChecking
    #pragma StackOverflowchecking False
    #pragma NilObjectChecking False

There are many filters available in ABXVision. I’ve tried to split them up so they made some sense. (Click the titles to jump to the help)

Provides a number of 2 source filters – filters which take two input images to produce the result image.
Provides several adaptive binarization filters, which are aimed to find binarization threshold automatically and then apply it to the source image.
Provides different binarization filters, which may be used as in image processing, as in some computer vision tasks.
Provides number of image processing filters, which allow to filter pixels depending on their color values.
These image processing filters may be used to keep pixels, which color falls inside or outside of specified range, and fill the rest of pixels with specified color.
Provides convolution filters and a set of derived filters, which allow to perform image convolution with common kernels.
Provides a number of edge detection filters, which may suite different tasks providing different performance.
Provides a set of filters from mathematical morphology.
All of the filters may be applied as using default structuring element, as using custom specified structuring element.
Provides transformations methods, which allow to perform image transformationq.

In the attached demo project, some of those filters are used to show the different techniques used. You’ll notice most of the filters have multiple calling methods. They are mostly split up as follows:

1. call(img1). The action is performed on the image.
2. img2 = call(img1). The action is performed on img and returned in img2 without altering img1.
3. call(img1, rect). Perform the action on the image itself, but only on the part described by the rectangle.
4. img2 = call(img1, rect). Perform the action on the image itself, but only on the part described in the rectangle and also only return this part as img2, without altering img1

I suggest you read up on the help and play with the ABXVImage object and familiarize with it. The demo project contains some filters, but you can try out others.

This concludes the introduction. I felt it was needed to talk about ABXVImage first before going into other subjects as this is a core object. The source code and framework can be found on the ABXVision page (see top of this page)

You need to read the Getting Started document as you have to copy the framework into the demo projects.

In my next article, we’ll tackle Augmented Reality, as seen in the teaser video!

Happy Coding!


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Xojo: ABXVision – Version 1.0 Released

ABXVisionDISCONTINUED: Interested parties in purchasing the source code can contact me via email.

This is the first public release of ABXVision! I’ve spend a lot of time setting it up. Creating the documentation for the framework also took a fair amount of time, but as this project will grow in the future, it’s best I start documenting it from the beginning.

To centralize everything about ABXVision, I’ve created a new menu item on top of this page. Here you’ll be able to find the latest version, the help and the projects I’ll create with the ABXVision framework in the upcoming articles.

Latest version can be downloaded here


Halfway through writing the documentation, I realized this would take longer than expected so I stopped and build a tool to help me maintain the documentation: ABXDocumentor. I have a very good feeling about this tool and will probably update it and release it on this blog.

In the upcoming weeks I will try to write some demos using the framework. The first one will handle some basic functionality like ABXVImage as this object is really important. Later we’ll move on to Augmented Reality, Motion detection, maybe something on playcard recognition. Who knows were it takes us.

I just finish with this note: This is version 1.0. Not all functionality was tested so I can use your feedback to update it. I hope you join me on this ongoing journey and show us some projects your created with the framework.


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