64-bit architectures such as the ARM Cortex A53 are increasingly becoming the standard. The use of DragonBoard is just as widespread. Due to its compact dimensions and low energy consumption, the board can be used in embedded systems, especially in all conceivable smart devices such as cameras and handhelds - for personal computing as well as in operational production and logistics processes.
MVTec's standard image processing software HALCON has now also been successfully tested on the DragonBoard using the board's native 64-bit instruction set. The tests were performed on a DragonBoard with a quad-core ARM Cortex A53 processor. Compared to 32-bit ARMv7 code running on the same hardware, the 64-bit operating mode of the ARM Cortex A53 processor can speed up image processing algorithms, such as shape-based matching, by up to 40 percent. With the availability of HALCON for Embedded for DragonBoard, high-performance machine vision applications can take full advantage of the 64-bit ARMv8 architecture. MVTec offers to port HALCON for Embedded to customer hardware upon request, taking into account customers' specific requirements.
Profit from HALCON's machine vision power on compact and robust hardware
Access the full functionality of HALCON
Integrate powerful image processing into your individual application
Faster machine vision saves money
By porting HALCON to DragonBoard, MVTec is taking into account the growing importance and spread of 64-bit processors. Customers can contact us with their very specific requirements. We then provide them with a solution that is precisely tailored to their needs. Companies can thus significantly accelerate their image processing processes.
Certain applications can also increase their performance impressively on mobile devices. Examples include smartphone-based identification of components, which simplifies processes such as the maintenance of industrial plants and thus saves costs.
HALCON 22.11 STEADY – IS THERE FOR YOU
The new HALCON 22.11 release comes in a Steady edition and a Progress edition. With HALCON 22.11, MVTec once more demonstrate that the targeted use of deep learning raises existing machine vision technologies to a new level. The 3D Gripping Point Detection, for example, offers an easy way to efficiently automate a complex application. With the new editions, MVTec is once again delivering on their promise to provide users with one of the world's most powerful and technologically advanced machine vision software solutions.