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VISION to Highlight Innovations in Deep Learning and Embedded Vision

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VISION 2022 is set to take place Oct. 4-6 in Stuttgart, Germany, where the industry’s leading companies will unveil the latest innovations in the vision systems and components contributing to advancements in automation and Industry 4.0. Attendees can expect presentations on trending topics such as 3D imaging, deep learning, and embedded vision, said Florian Niethammer, head of trade fairs and events at Messe Stuttgart, which hosts the event. New markets for vision beyond classical factory automation will also be in focus, including food and beverage, traffic infrastructure, and...Read full article

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    Published: September 2022
    Glossary
    deep learning
    Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...
    hyperspectral imaging
    Hyperspectral imaging is an advanced imaging technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging systems that record only a few spectral bands (such as red, green, and blue in visible light), hyperspectral imaging collects data in numerous contiguous bands, covering a wide range of wavelengths. This extended spectral coverage enables detailed analysis and characterization of materials based on their spectral signatures. Key...
    embedded vision
    Embedded vision refers to the integration of computer vision technologies into various embedded systems, devices, or machines. Computer vision involves teaching machines to interpret and understand visual information from the world, much like human vision. Embedded vision takes this concept and applies it to systems where the processing occurs locally within the device, as opposed to relying on external servers or cloud-based services. Key components of embedded vision systems include: ...
    deep learninghyperspectral imagingEmbedded Vision3D imagingMotekVISION 2022Messe StuttgartShow Preview

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