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Superior vision: Always on human-like vision for intelligent devices

机译:卓越的愿景:始终掌握智能设备的人类视觉

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We live in a world of intelligent robots, drones and mobile phones/assistants. The technologies behind these products are heralded by a new wave of deep learning applications ported on mobile devices. The robotic and vision technologies behind these products will shift the applications of electronic devices to a more superior level of intelligence that will change our world. From a hardware point of view, these devices will become a hub of learning sensors that will be able to capture and learn from their surrounding environment and their context. On top of the aforementioned deep learning technologies, the most important sense for these devices will be their vision capabilities. To make this sense as close as possible to human vision, will require advanced technology to capture, process, understand and provide analytics in real time to enable their applications make critical ???educated: decisions???. ???Always on??? vision capabilities are envisaged as the paradigm for the next generation of mobile This Keynote will cover in this context the state of the art in the domain of vision with the latest image processing, computer vision and deep learning algorithms implemented on various low-power processing architectures.
机译:我们生活在智能机器人,无人机和手机/助手的世界中。这些产品背后的技术是由在移动设备上移植的新型深度学习应用程序的预示。这些产品背后的机器人和视觉技术将把电子设备的应用转移到更优越的智力水平,这将改变我们的世界。从硬件的角度来看,这些设备将成为能够从周围环境及其背景下捕获和学习的学习传感器的集线器。在上述深度学习技术之上,这些设备的最重要意义将是他们的视觉能力。为了使这个意义尽可能接近人类愿景,将需要先进的技术来实时捕获,过程,理解和提供分析,以便他们的应用成为关键???? ???总是在???视觉功能被设想为下一代移动的范式,此主题演讲将在此上下文中介绍,在各种低功耗处理架构上实现的最新图像处理,计算机视觉和深度学习算法的愿景中的愿景。 。

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