Deep Learning Mvtec and Qualcomm Start Collaboration

From Mvtec | Translated by AI 1 min Reading Time

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Through the new technology partnership, Mvtec customers gain access to the NPUs of Qualcomm Dragonwing processors. Especially users of smart cameras benefit.

Mvtec offers the standard software Halcon, the no-code software Merlic, and the deep learning tool for labeling image data.(Image: © InfiniteFlow - stock.adobe.com)
Mvtec offers the standard software Halcon, the no-code software Merlic, and the deep learning tool for labeling image data.
(Image: © InfiniteFlow - stock.adobe.com)

Mvtec and Qualcomm Technologies have launched a technology partnership to accelerate deep learning applications in industrial image processing. According to a statement, Qualcomm will become part of the Mvtec technology partner program, enabling users of the Halcon image processing software to directly access the AI accelerators of Qualcomm Dragonwing processors in the future.

The focus of the collaboration is particularly on the use of Deep Learning on embedded systems and smart cameras. By utilizing the integrated Neural Processing Units (NPU), AI inferences can be executed with higher speed and improved energy efficiency. As a first concrete step, Mvtec is developing an interface between Halcon and the Dragonwing RB3 Gen 2, based on the upstream Linux and AI framework from Qualcomm Technologies.

For users in industrial practice, this means noticeable performance gains in demanding machine vision tasks, such as quality inspection, robotics, or the automation of complex processes. The Dragonwing RB3 Gen 2, powered by the QCS6490 processor with Hexagon Fusion AI accelerator, delivers up to 12 Dense TOPs of computing power for this purpose.

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