硬件-软件分区用于实时对象检测使用动态参数优化
Corneliu Zaharia1, Vlad Popescu1, Florin Sandu1
1Department of Electronics and Computers, Transilvania University, Bdul Eroilor 29, 500068 Brașov, Romania.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
本研究引入了一种混合硬件-软件方法,以增强实时对象检测. 人工智能管理FPGA上的硬件组件,提高计算机视觉算法性能和效率.
科学领域:
- 计算机工程 计算机工程
- 人工智能的人工智能
- 嵌入式系统 嵌入式系统
背景情况:
- 实时计算机视觉算法在内存带宽和能源消耗方面面临着挑战.
- 智能手机和汽车系统等设备中的当前实现需要优化.
- 对象检测对于各种监控和安全应用至关重要.
研究的目的:
- 为了提高实时物体检测计算机视觉算法的质量.
- 建议混合硬件-软件实现以提高性能.
- 探索如何有效地将算法组件分配到硬件 (IP Cores) 和软件中.
主要方法:
- 开发了一个混合硬件-软件实施策略.
- 研究了将算法组件分配到硬件IP核心的方法.
- 利用嵌入式人工智能进行动态硬件配置和参数调整.
- 在Xilinx Zynq-7000 SoC FPGA演示器上实现了该解决方案.
主要成果:
- 在对象检测用例中证明了显著的性能增长.
- 展示了混合硬件-软件实现的好处.
- 突出了人工智能管理的知识产权核心所取得的重大改进.
- 在实用的FPGA系统上验证了该方法.
结论:
- 混合硬件-软件实现为实时计算机视觉提供了巨大的好处.
- 人工智能驱动的硬件IP核心的管理可以带来重大的性能提升.
- 拟议的方法有效地解决了对物体检测的内存带宽和能源消耗方面的挑战.
相关概念视频
Parallel Processing
182
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
182
Statically Indeterminate Problem Solving
455
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
455


