MVTec Software has successfully tested its HALCON machine vision software on DragonBoard using the board’s native 64-bit instruction set.
Arrow Electronics’ DragonBoard is a development board based on a 64-bit capable Qualcomm Snapdragon 400 series processor that is designed to work in such applications as embedded computing, Internet of Things products, robotics, cameras, medical devices, and more. Tests were performed on the DragonBoard using a quad-core ARM Cortex A53 processor. Compared to 32-bit ARMv7 code running on the same hardware, according to MVTec, the 64-bit operating mode of the ARM Cortex A53 processor can speed up vision algorithms such as shape-based matching by as much as 40%.
The availability of HALCON Embedded for the DragonBoard will enable machine vision applications to take full advantage of the 64-bit ARMv8 architecture. MVTec is now accepting requests to port HALCON Embedded to customer hardware on request, taking into account the customers' specific requirements.
"By porting HALCON to DragonBoard, we take into account the growing importance and widespread use of 64-bit processors," said Johannes Hiltner, Product Manager HALCON at MVTec. "Customers can address us with their very specific requirements. We then provide them with a solution that is tailored to their exact needs."
He continued: "Companies will thus be able to significantly speed up their machine vision processes. Certain applications can also impressively increase their performance on mobile devices. Examples include smartphone-based identification of components, which simplifies processes such as the maintenance of industrial plants and thereby cuts costs," he said.
View more information on HALCON machine vision software.
View more information on the DragonBoard development board.
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