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MVTec Software will demonstrate the latest version of its Halcon 10 machine vision software at Automatica.

The company will hold a live demonstration running Halcon’s new application, which involves surface-based 3D matching by a robot.

The software’s new multi-view stereo enables users to employ any number of cameras for 3D reconstruction.

For best performance, Halcon 10 will provide an efficient automatic acceleration by optimal usage of the computing power of GPUs based on the OpenCL standard.

An enhanced multi-core use will also speed up the entire library in general, even though the library’s memory requirements have been reduced at the same time.

MVTec will also showcase Halcon Embedded, which provides the functionality of the Halcon library on low-current hardware platforms.

Halcon features a flexible and open architecture and, as such, it can be ported smoothly.

Halcon Embedded can be used on the Beagle Board or on a mobile phone, such as the Nokia N900.

The software enables the programmer to develop on a PC and to smoothly transfer his or her program to the device (a smart camera or a proprietary processor, for example).

In continuous operation, an exemplary embedded platform needs between 2W and 5W (a maximum of 10W in extreme cases), mostly including camera power.

Therefore, a passive cooling without a fan is possible and the device can be employed in clean rooms and hygienic risky areas.

A PC needs between 60W and 300W, depending on the generation, not including the energy for cameras and frame grabbers.

Even when calculating the accumulated power consumption of the processor for a given task, all in all the embedded platform saves energy compared to a PC, according to MVTec.

A typical embedded platform does not even need a monitor; in this case, about 50W can be saved.

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