A 100µW 64×128-Pixel Contrast-Based Asynchronous Binary Vision Sensor for Wireless Sensor Networks

📋 论文概要

该论文提出了一种用于无线传感器网络的64×128像素异步二进制视觉传感器，通过像素内对比度估计和1比特量化实现低功耗视觉特征提取，采用电荷转移机制进行时间自适应处理，无直流功耗，总功耗仅100µW。

💡 主要创新点

• 像素内集成对比度估计与1比特量化功能，避免全局模数转换器，降低能耗。
• 基于电荷转移的时间自适应处理机制，实现无直流功耗的动态视觉检测。
• 异步读出架构大幅减少输出带宽，适合电池供电的传感器网络应用。

🏷 关键词

📄 原文摘要

Raster-scan architectures are mostly oriented toward quality image reproduction [1], but they do not meet some basic requirements,that are crucial for battery-operated sensors for sensor network applications, such as low-energy visual features extraction and control strategies for output bandwidth reduction [2]. We present a 64×128-pixel vision sensor, whose pixels estimate and perform a 1b quantization on the local contrast with a low energy budget. The pixel-embedded time-adaptive visual processing is based on a charge-transfer mechanism, featuring no DC power consumption [3]. The asynchronous readout process takes 147µs and dispatches the column address of each asserted pixel, significantly reducing the chip activity at the interface. For typical indoor visual contrast estimation, involving 5% of the total number of pixels, the sensor exhibits a power consumption of 100µW at 3.3V and 50 frames/s.

👥 作者与机构

N. Massari, M. Gottardi, S. Jawed

Fondazione Bruno Kessler – IRST, Trento, Italy