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Towards real-time embeded system design for video capturing and privacy protection

机译:迈向实时嵌入式系统设计,用于视频捕获和隐私保护

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Real-time video processing is a challenge in many embedded system applications. They can be general-purpose processor based (software) or Custom single purpose processor based (hardware). Software processor based rely mostly on real-time operating system layer to allow multiple software threads to run concurrently. Hardware processor based don't need these layers because they are not executing any programs, but rather operate in finite state machines. Video Capturing, Color space conversion, and Privacy protection are considered in this article as three fundamental components for effective and secure real-time video streaming system. The proposed model is based on concurrent finite state machines which is inherently concurrent. After careful verification, the proposed system is compared with a base point system. The base point system is built using a soft-core Nios II processor on a reconfigurable hardware, i.e., FPGA chip, for performance evaluations. Then a Custom Sequential Machine is designed and modeled in Verilog HDL, which utilizes integer calculations and has concurrent interfaces to input and output memory devices for synchronization purposes. The Custom Sequential Machine design uses integer approximation rather than floating point for color space conversion. A speed-up factor of 4 orders of magnitude higher than the base point system for color space conversion only. The base point system was not powerful enough to be serve real-time video capturing, processing and privacy protection, but was useful for illustration of the need of proposed system model.
机译:实时视频处理是许多嵌入式系统应用中的挑战。它们可以是基于通用的处理器(软件)或基于定制的单一用途处理器(硬件)。基于软件处理器主要在实时操作系统层上允许多个软件线程同时运行。基于硬件处理器不需要这些图层,因为它们不是执行任何程序,而是在有限状态机中运行。本文考虑了视频捕获,色彩转换和隐私保护,作为有效和安全的实时视频流系统的三个基本组件。所提出的模型基于并发有限状态机,该机器固有并发。经过仔细验证后,将所提出的系统与基点系统进行比较。基点系统是使用软核心NIOS II处理器在可重新配置的硬件上进行建立,即FPGA芯片,用于性能评估。然后,在Verilog HDL中设计和建模自定义顺序机,其利用整数计算并向输入和输出存储器设备具有并发接口以进行同步目的。定制顺序机设计使用整数近似而不是浮点进行色彩空间转换。仅比基点系统高出4个数量级的加速因子,用于颜色空间转换。基点系统不足以提供实时视频捕获,处理和隐私保护,但可用于说明所提出的系统模型的需要。

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