Efficient Real time Zynq 7000 FPGA deployment of optimized YOLOv2 deep leaning model for target detection, based on HDL Coder Methodology

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-06-01 DOI:10.59035/zbte3810

J. Slimane

引用次数: 0

Abstract

Field Programmable Gate Arrays (FPGAs) have garnered significant attention in the development and enhancement of target identification algorithms that employ YOLOv2 models and FPGAs, owing to their adaptability and user-friendliness. The Simulink HDL compiler was utilized to design, simulate, and implement our proposed design. In an effort to rectify this, this paper presents a comprehensive programming and design proposal. The implementation of the YOLOv2 algorithm for real-time vehicle detection on the Xilinx® Zynq-7000 System-on-a-chip is proposed in this work. Real-time testing of the synthesised hardware revealed that it can process Full HD video at a rate of 16 frames per second. On the Xilinx Zynq-7000 SOC, the estimated dynamic power consumption is less than 90 mW. When comparing the results of the proposed work to those of other simulations, it is observed that resource utilization is enhanced by around 204 k (75%) LUT, 305 (12%) DSP, and 224 k (41%) flip-flops at 200 MHz.

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基于 HDL 编码器方法，高效实时部署用于目标检测的优化 YOLOv2 深度倾斜模型的 Zynq 7000 FPGA

现场可编程门阵列（FPGA）因其适应性和用户友好性，在开发和改进采用 YOLOv2 模型和 FPGA 的目标识别算法方面备受关注。我们利用 Simulink HDL 编译器来设计、模拟和实现我们提出的设计。为了纠正这种情况，本文提出了一个全面的编程和设计建议。本文提出在 Xilinx® Zynq-7000 片上系统上实现用于实时车辆检测的 YOLOv2 算法。对合成硬件的实时测试表明，它能以每秒 16 帧的速率处理全高清视频。在赛灵思 Zynq-7000 片上，估计动态功耗低于 90 mW。将拟议工作的结果与其他模拟结果进行比较后发现，在 200 MHz 频率下，资源利用率提高了约 204 k（75%）LUT、305（12%）DSP 和 224 k（41%）触发器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.