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Smart camera with embedded co-processor : a postal sortingapplication

机译:嵌入式协处理器的智能相机:邮政分拣应用

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This work describes an image acquisition and processing system based on a new co-processor architecture designed for CMOS sensor imaging. The platform permits to configure a wide variety of acquisition modes (random region acquisition, variable image size, multi-exposition image) as well as high-performance image pre-processing (filtering, de-noising, binarisation, pattern recognition). Furthermore, the acquisition is driven by an FPGA, as well as a processing stage followed by a Nexperia processor. The data transfer, from the FPGAs board to the Nexperia processor, can be pipelined to the co-processor to increase achievable throughput performances. The coprocessor architecture has been designed so as to obtain a unit that can be configured on the fly, in terms of type and number of chained processing (up to 8 successive pre-defined pre-processing), during the image acquisition process that is dynamically denned by the application. Examples of acquisition and processing performances are reported and compared to classical image acquisition systems based on standard modular PC platforms. The experimental results show a considerable increase of the performances. For instance the reading of bar codes with applications to postal sorting on a PC platform is limited to about 15 images (letters) per second. The new platform beside resulting more compact and easily installable in hostile environments can successfully analyze up to 50 images/s.
机译:这项工作描述了一种基于为CMOS传感器成像而设计的新型协处理器架构的图像采集和处理系统。该平台允许配置多种采集模式(随机区域采集,可变图像尺寸,多重曝光图像)以及高性能图像预处理(滤波,去噪,二值化,模式识别)。此外,采集是由FPGA驱动的,在处理阶段之后是Nexperia处理器。从FPGA板到Nexperia处理器的数据传输可以通过管道传输到协处理器,以提高可实现的吞吐量性能。设计了协处理器体系结构,以便在动态获取图像的过程中,可以根据链式处理的类型和数量(最多8个连续的预定义预处理)动态配置一个单元。由应用程序定义。报告了采集和处理性能的示例,并将其与基于标准模块化PC平台的经典图像采集系统进行了比较。实验结果表明,性能有了很大提高。例如,在PC平台上通过邮政分拣应用程序读取条形码被限制为每秒约15张图像(字母)。新平台不仅可以在敌对环境中更紧凑,更易于安装,而且可以成功分析高达50张图像/秒。

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