基于ARM-DSP和FPGA异构SoC平台的车牌自动识别系统

Z. Jeffrey, X. Zhai, F. Bensaali, R. Sotudeh, A. Ariyaeeinia
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引用次数: 8

摘要

所描述的基于ARM-DSP的ANPR系统是为对低功耗、低价格和实时系统的需求至关重要的商业应用而设计的。单个FPGA也可以作为插件添加到基于ARM-DSP的硬件SoC中,具体取决于应用程序所需的额外资源。总体结果表明,通过设备和算法优化,可以在独立ANPR系统中使用更便宜的现成arm - dsp和fpga多核处理器,从而使用高效算法以更高的识别率实现实时性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic number plate recognition system on an ARM-DSP and FPGA heterogeneous SoC platforms
The ARM-DSP based ANPR system described is designed for commercial applications where the need for low power, low prices and real time systems is vital. A single FPGA can also be added as a plug-in to the ARM-DSP based hardware SoC, depending on the extra resources needed for the application. The overall results have shown that it is possible to use cheaper off-the-shelf ARM-DSPs and FPGAs multicore processors for standalone ANPR systems through device and algorithm optimisation to achieve real-time performance at higher recognition rate using efficient algorithms.
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