⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出一种内置事件检测和形态学变换的图像传感器，通过低功耗事件检测减少系统活动，实现目标分割，能耗仅为2.9pJ/pixel×frame。解决了分布式视觉中持续功耗过高的问题。
Relentless power reductions in always-on untethered imagers for distributed vision are required to fit the power budgets available from their tightly constrained energy sources. As an effective approach to reduce power, event detection has been explored to reduce system activity in uninteresting frames or regions [1-6]. In imagers with event detection, one of the main challenges is to simultaneously achieve substantial activity reduction for lower system power (i.e., low event detection false-positives) and low power consumption in the event-detection circuitry (generally higher when targeting lower false positives). Frame difference for motion detection is relatively simple and hence powerinexpensive, although it is well known to offer limited activity reduction due to background motion [1,2]. Background subtraction is generally more effective in reducing activity, but it comes at the cost of higher power due to its higher complexity [3,4].
Japesh Vohra, Animesh Gupta, Massimo Alioto
National University of Singapore, Singapore, Singapore