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GPU: Application for CCTV systems

机译:GPU:CCTV系统的应用

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摘要

Current generation GPU's are really powerful, with lots of stream processors, fast memory and in some cases hardware video decoding support. Their prices are low and support multiple high resolution outputs. Its main use is in CAD applications and Video-games due they geometry processing capabilities, but they are really good at image processing. That makes them ideal for CCTV rendering. Traditional CCTV systems are based on a stack of decoder cards with analog outputs. These systems are expensive and hard to install due to its physical connections. We can replace such a system with a PC with a good GPU card. This system presents some advantages over the analog solution: it can use an existing network installation, can show any source that the PC can receive (HTML, VNC, Capturers, etc), can mix analog and IP cameras and the GPU shader capabilities permits apply complex filters to the video. Moreover, we can use the GPU video analysis (motion detection, face recognition, etc). In this paper we present a system aid to decode and render multiple video sources, based on a PC platform (but feasible in any platform with a modern GPU, we have it running on a Raspberry Pi) capable of decoding and rendering close to 100 video streams on a current system, with support of 24 monitors in a single machine. This system is already working and installed in multiple places with good results.
机译:当前一代的GPU确实非常强大,具有许多流处理器,快速内存以及在某些情况下支持硬件视频解码的功能。它们的价格低廉,并且支持多个高分辨率输出。由于它们具有几何处理功能,因此其主要用途是在CAD应用程序和视频游戏中,但它们确实擅长图像处理。这使得它们非常适合CCTV渲染。传统的CCTV系统基于带有模拟输出的解码器卡堆栈。这些系统由于其物理连接而昂贵且难以安装。我们可以用具有良好GPU卡的PC代替这样的系统。与模拟解决方案相比,该系统具有一些优势:它可以使用现有的网络安装,可以显示PC可以接收的任何源(HTML,VNC,捕获器等),可以混合使用模拟和IP摄像机,并且可以应用GPU着色器功能视频的复杂过滤器。此外,我们可以使用GPU视频分析(运动检测,面部识别等)。在本文中,我们提供了一种基于PC平台的系统辅助工具,用于解码和渲染多个视频源(但在具有现代GPU的任何平台上都是可行的,我们可以在Raspberry Pi上运行),能够解码和渲染近100个视频流在当前系统上运行,在一台计算机上支持24个监视器。该系统已经在多个地方工作并安装,并取得了良好的效果。

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