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10/07/2025 New case studies: Exciting applications for industry and retail

The two use cases show impressively how different the industries are that rely on Pyramid hardware.

The first case study highlights the successful use of our AKHET® VarioFlex Front I/O powerful platform for customized machine vision applications.

Whether for quality assurance in the paper, printing or steel industry - the robust OEM technology from Pyramid offers the ideal basis for reliable quality assurance.

The second case study takes us to premium retail: in order to take the customer experience to a new level, a renowned men's outfitter in the USA relies on magic mirrors from faytech®. The highly elegant and interactive solution creates a win-win situation for operators and their customers.

Both application examples underline the wide reach of the Pyramid. It ranges from heavy industry to exclusive retail.

The case studies are now available in German and English here and here for download.

Further contributions

At embedded world 2026, we will be showcasing a modular camera rail for AI-supported machine vision on the shop floor with local data processing and real-time analysis.

12/03/2026 AI-supported machine vision for the shop floor: Pyramid Computer modular camera rail at embedded world 2026

Pyramid Computer Camera AI Rail at embeddedworld 2026

Modular camera rail for AI-supported machine vision along a production line at the Pyramid Computer boothComputer embedded world 2026.

11/03/2026 Pyramid industrial PCs and servers as "turnkey ready solutions" at embedded world 2026

Pyramid Computer embeddedworld 2026

AKHET industrial server in the edge data center

02/03/2026 Visit us at embeddedworld 2026: AKHET® and servers bring AI and machine vision together

Pyramid Computer embeddedworld 2026

February 25, 2026 EuroShop 2026: POLYTOUCH® PASSPORT 32 self-service terminalPASSPORT 32 10 years of success on the kiosk market

EUROSHOP 2026: Happy birthday PASSPORT 32

Do you have any questions? We are here for you!

Your contact person:

Frederic Eschbach, Serena Liu, Ömer Gören