With our <??Cockpad-Radar> air-traffic radar
images are generated from the received
position data or  supplies <Navigationsystems>
via <Interfaces> with that information. With
our <Develop-Board> we read also the serial
output of the Flarm® transceivers to complete them with ADSB-, ACARS-, UAT-, s&f-data. But because with the mentioned interface there is no way to transfer per every plane data of current course, past (recorded <Track>) and future (<Forecast> in x minutes), we've decided to integrate our radar screen in a Primary-Flight-Display , by turning our <??Radar-Map>  and all other map objects according to your current flight course and thus we save the  lower third of the image, because it would show the back of the direction of flight. Since we use this space to show over the radar image an optional GPS-data based
 <Demo1Mini-Panel> and/or any number of our 
<Demo2Avionic-GadgetsDemo3> placed alone around of the radar image as PFD. If possible, you should call the 3 upper demos with your On-Board device, to see how adapt the images to the display of your device.

Since we use the (much more appropriate) <GPU> of the Cockpad for the de-modulation and encoding of receiver and sensor data, the visualization of radar - and instruments images must be done on your device on board, that's why you connect first – via WiFi - to as an access point working Cockpad, not as usual to enter into the WWW, but in the world of receiver and sensors data that are connected to the Cockpad.  From there instructions are sent to your browser that he needs to draw <SVG>-graphics. Because for the 'be seen' there is only ADS-B and the absurdly position data encrypting  <??Flugalarmsystem>
we have developed the  <short&fast-Transceiver>,
connectable to the Cockpad or to the
 <Develop-Board> as an USB-Dongle. 
Thus flyer with our s&f transceiver also 'be seen'
as often as possible, we sell it as
 <SDR>-Receiver on Cockpad for 99 Euros.

The sensors for the artificial horizon and the airspeed we use for the first time <MEMS-Sensoren>. The great advantage of MEMS is the very high accuracy and extremely high speed at which the data is supplied through the computer's internal I2C bus. We use this time to advantage, for example when reading the AHRS data with physically possible equations of motion - by the Kalman method - to detect errors or to smooth tremors or to determine averages for millisecond areas. We will show not only the in the airspeed scale difference between static and pitot pressure, but show the speed than resistance, which we determine through correlation from true airspeed with current air-pressure and temperature in a second scale.

In the graphic representation we go with our Java Script generating Compiler new ways  as we painting at the pixel level (raster graphic method) replace by
the scalable vector graphics <SVG> method. 
This required our compiler has to identify for each instrument all possible movements of an image object and to translate the representation corresponding formulas in Java language, which than transmitted at runtime as Java snippets to your browser.
This procedure can only be used since the i-Explorer extension onHTML5 afford that is hereby
noted and appreciated