Battery-Free Connected Machine Vision with WISPCam

Saman Naderiparizi, Zerina Kapetanovic, Joshua R. Smith
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引用次数: 16

Abstract

Sustained exponential improvements in the energy efficiency of microelectronics has recently enabled us to build battery-free camera systems that are powered entirely by propagating radio waves. This paper describes primitive machine vision applications built using this highly constrained, battery-free camera system. After describing the WISPCam system and its constraints, we show how to use it to capture (relatively) high-resolution images of faces, without ever capturing a full frame at high resolution. This example application illustrates the issues that arise in partitioning a demanding vision application across mobile hardware that is highly constrained in power, storage, computation and communication.
无电池连接机器视觉与WISPCam
微电子技术能源效率的持续指数级提高,最近使我们能够建造完全由无线电波传播供电的无电池相机系统。本文描述了使用这种高度受限的无电池相机系统构建的原始机器视觉应用。在描述了WISPCam系统及其限制之后,我们展示了如何使用它来捕获(相对)高分辨率的人脸图像,而无需在高分辨率下捕获全帧。这个示例应用程序说明了在跨移动硬件划分高要求的视觉应用程序时出现的问题,这些移动硬件在功率、存储、计算和通信方面受到高度限制。
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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