Vision Components: Smart Cameras Now Programmable with Microsoft tools
Image processing expert Vision Components introduces a multi-level approach which considerably facilitates programming for VC's intelligent cameras. All VC machine vision libraries have been revised to run on PCs. Customers can continue to program in C or C++, but can now also use the Microsoft development environment Visual Studio 2010. Compiling during programming is no longer necessary, since the software can be developed and tested on a PC. Single program steps can now be tested and debugged on the PC directly in Visual Studio. As a result, Smart Cameras can now be programmed faster and more easily.
No high-level skills needed
VC's subsidiary Notavis takes one step further: the recently-founded company has developed the machine vision script language MVNova, which is based on the open source script language Lua. Therefore, high-level language skills are no longer required for program development. All Vision Components software libraries are already integrated in MVNova. The tool also includes a script interpreter, thereby rendering compiling unnecessary. Moreover, MVNova actively supports and facilitates debugging, making programming processes considerably easier while ensuring maximum flexibility. Since MVNo-va includes all optimized C functions of VC's libraries, it ensures operation without loss of speed. Additionally, the integrated web server makes intelligent cameras browser-compatible, allowing for comfortable use. GUIs can be created easily and quickly in HTML. Lastly, VC's partner EVT (Eye Vision Tech-nology GmbH) provides further support in implementing machine vision applications by means of the EyeSpector system which is based on VC Smart Cameras and requires no programming skills. The accompanying EyeVision software allows users to solve even complex image processing tasks through a "drag and drop" interface. The system thus provides a ready-to-use machine vision solution. The three companies offer free-of-charge workshops demon-strating the use of their machine vision solutions based on practical examples.
