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Ambarella, elnfochips Collaborate on Edge AI Vision Services

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Edge AI semiconductor company Ambarella and digital transformation and product engineering services provider elnfochips will collaborate to expand design and development services for AI camera products based on Ambarella’s CVflow Edge AI system-on-chip (SoC) platform. eInfochips already offers end-to-end design and development services based on Ambarella’s CVflow Edge AI SoC families, and, according to the companies, the newly formalized relationship will benefit from eInfochips’ engineering experience and resources to support the growth of AI IoT applications. ...Read full article

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    Published: November 2022
    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...
    computer vision
    Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
    vision
    The processes in which luminous energy incident on the eye is perceived and evaluated.
    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: ...
    BusinesscollaborationpartnershipAmericasmachine visioncomputer visionEdge AISoftwarevisionAmbarellaelnfochipsSoCIOTroboticsrobotic perceptioncamerasImagingimage sensordeep learningautomationThe News Wire

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