Siemens provides an AI edge solution for wood quality determination using RGB cameras as a data source for quality control and, as an extension, also Hyperspectral Imaging (HSI) for multimodal analysis. Flexible edge solutions are possible with a modular design and an SDK. Different analysis models and algorithms can be dynamically loaded via a plug-in mechanism. Transferability of AI models to different lines and locations is ensured using cutting-edge learning methods such as Transfer & Federated Learning. Existing models can be hosted as templates in a cloud repository and instantiated for the respective site on an edge device.
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Episode 27 | Preview Vision & Looking Back – Henning Tiarks (Allied Vision)
In today’s episode, we speak with Henning Tiarks, CPO of Allied Vision.
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Earthquake Disrupts Production of Sony Image Sensors
On July 28,, a strong earthquake struck Japan’s Kumamoto region, home to many semiconductor manufacturers. Among them is Sony’s largest global manufacturing…
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Episode 26 | Limitless 3D possibilities – Annika Felhauer (Pepperl + Fuchs)
In the latest episode of the inVISION podcast ‘5 Questions…’, Annika Felhauer, Technology Development Manager for Industrial Sensors at Pepperl+Fuchs, introduces the…


















