A 467nW CMOS Visual Motion Sensor with Temporal Averaging and Pixel Aggregation

📋 论文概要

该论文提出了一种467nW的CMOS视觉运动传感器，通过时间平均和像素聚合技术实现超低功耗运动检测，解决了无线传感器节点在电池供电下功耗过高的问题。

💡 主要创新点

• 采用时间平均技术降低噪声并减少每帧数据量，从而降低功耗。
• 通过像素聚合（Pixel Aggregation）减少读出电路和ADC的功耗，实现亚微瓦级功耗。

🏷 关键词

📄 原文摘要

variety of new applications for wireless sensor nodes, ranging from military surveillance to in vivo molecular imaging. In particular, the ability to detect motion can enable more intelligent power management through on-demand duty cycling and reduced data-retention requirements. Conventional imager designs focus on achieving higher resolution, frame rate [1], or dynamic range [2], resulting in power consumption levels that are unsuitable for battery-powered wireless sensor nodes

👥 作者与机构

Gyouho Kim, Mahmood Barangi, Zhiyoong Foo, Nathaniel Pinckney,

Suyoung Bang, David Blaauw, Dennis Sylvester University of Michigan, Ann Arbor, MI Visual monitoring with CMOS image sensors opens up a