sacha tholl

I will upload a picture containing the code fragment that handles the ocr asap.

Heureka, it works!!

Here you see a quick and dirty frontpanel during the first working results. The Application worked but the front panel needed badly to have some cosmetic treatement :-)

During developement of the code and some testing with a real sample.

Digitsreader: during developement of the code and some testing

Of course the cam has to have a macro objective to be mounted

Here you see the video aquisition to be performed of the LED-display of the balance containing the sample of a collagen dispersion in wich the drying process has to be analyzed.

During a project, i had to evaluate the drying propreties of collagenous dispersions.To do so, i had nothing else that i could use but an old balance without any rs232 interface or so. On the other hand i knew that the drying process could have at least a duration of about 48hours and i wanted to record the loss of weight until a constant weight in the equilibrium state (dry) has been reached as this is considerated that the process is finished at the point where you are in an equilibrium state with the moisture of the athmosphere. To do so i wrote an application capable of recording the digits of the balance and translate it into Numbers (floating-point) The application is reading the video stream captured by the old VHS cam. By using of the ocr features of the NI Vision package i let the LED Numbers to be translated in floating point numbers.

Through a wealth of sensors, such as for examplea compass, a camera, and a distance sensor, the robot can perceive its environment and respond if necessary to it. The sensor data is continuously transmitted via telemetry by IRDA protocol to the computer. Controlling the robot can also be performed interactively via a joystick and voice commands (see my application LISA). The motions of the robot can be recorded odometrically and be replayed through the data transmitted by the compass, the accelerometer and the rotation sensor.

This robot sends a video stream to your computer via USB or radion transmission. The captured videostream is the evaluated within the LabVIEW application from the images using NI Vision technology and controls the robot accordingly.