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VISION Show to Highlight Embedded Vision, Hyperspectral Imaging

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The 31st biannual VISION conference returns to the Stuttgart Trade Fair Center in Stuttgart, Germany, Oct. 8 to 10. The trade fair includes industry veterans and exhibitors across several sectors demonstrating products, technologies, and the latest innovations in embedded vision, hyperspectral imaging, AI, and deep learning. “We have surpassed the number of exhibitors of 2022 and can count more than 425 exhibiting companies today,” said Florian Niethammer, head of trade fairs and events at Messe Stuttgart. Niethammer said that despite recent challenges in the machine...Read full article

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    Published: September 2024
    Glossary
    machine vision
    Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
    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: ...
    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...
    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: ...
    BusinessvisionMesse-Stuttgartmachine visionIndustry EventsEuropeAIEmbedded Visionhyperspectral imagingdeep learningImagingShow Preview

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