Application of System on Chip (SoC) devices for the design of a smoke detector working with megapixel image streams

W. Pamuła, M. Sajkowski, T. Stenzel, J. Michalak, Grzegorz Baron, Bartlomiej Szady
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Abstract

The paper discusses the application of System on Chip devices for processing Megapixel video streams. The domain of image processing using high resolution images is very demanding in the scope of calculating power and frequently exploits special processing hardware. The progress of integration technology brings about SoC which are capable of meeting such processing demands. Characteristics of FPGA and DSP based systems are assessed. A concise survey of chip solutions is presented and a pair of representative systems is chosen for comparison of their properties. The design of a smoke detection system is used for evaluating the advantages and drawbacks of using such SoC solutions. Almost identical image processing algorithms are implemented in the case of FPGA and DSP. Both solutions meet the image processing requirements and are suitable for real time processing. FPGA based solution is much faster as it uses pipelining for improving the utilisation of scarce memory resources.
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应用片上系统(SoC)器件设计处理百万像素图像流的烟雾探测器
本文讨论了片上系统在处理百万像素视频流中的应用。使用高分辨率图像的图像处理领域对计算能力的要求很高,并且经常使用特殊的处理硬件。集成技术的进步带来了能够满足这种处理需求的SoC。评估了基于FPGA和DSP的系统的特性。简要介绍了芯片解决方案,并选择了一对具有代表性的系统来比较它们的性能。烟雾探测系统的设计用于评估使用这种SoC解决方案的优点和缺点。在FPGA和DSP上实现了几乎相同的图像处理算法。两种方案均满足图像处理要求,适合实时处理。基于FPGA的解决方案更快,因为它使用流水线来提高稀缺内存资源的利用率。
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