CCRI: Planning: Collaborative Research: Planning to Develop a Low-Power Computer Vision Platform to Enhance Research in Computing Systems

CCRI：规划：协作研究：规划开发低功耗计算机视觉平台以加强计算系统研究

• 批准号: 1925514
• 负责人: Yiran Chen
• 金额: $ 4.5万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925514&HistoricalAwards=false
• 关键词: CCRI; Planning; Collaborative; Research; Develop

This project is a planning grant to investigate how to develop a research infrastructure for investigating energy-efficient computer vision. Computer vision is a set of technologies for understanding image or video. These technologies are essential in many applications, such as autonomous vehicles and airport security. Some vision systems need to be energy-efficient because they use batteries, for example, drones and mobile phones. This infrastructure is planned to be available for researchers to experiment and evaluate their solutions. The evaluation includes the success rates of identifying different types of objects, the speed, and the energy consumption. The infrastructure has three major components: (1) video taken by drones, (2) vision system analyzing the data, (3) power meter. It will be designed for a wide range of vision problems. It will also include a referee system which automates the entire evaluation process. There are many beneficial applications for low-power computer vision, for example, lightweight cameras that may provide safety for the vision impaired, wearable cameras that may improve factory safety or perform inventory analysis, and cameras for observing wildlife. The planning grant is to assess the needs of such an infrastructure for academia and industry. This team will actively engage the research community.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目是一项规划拨款，旨在研究如何开发用于研究节能计算机视觉的研究基础设施。计算机视觉是一组用于理解图像或视频的技术。这些技术在许多应用中至关重要，例如自动驾驶汽车和机场安全。一些视觉系统需要节能，因为它们使用电池，例如无人机和手机。该基础设施计划可供研究人员实验和评估他们的解决方案。评估内容包括识别不同类型物体的成功率、速度、能量消耗等。该基础设施由三个主要部分组成：(1) 无人机拍摄的视频，(2) 分析数据的视觉系统，(3) 功率计。 它将针对各种视力问题而设计。 它还将包括一个裁判系统，可以自动化整个评估过程。 低功耗计算机视觉有许多有益的应用，例如，可以为视力受损者提供安全的轻型相机、可以提高工厂安全或执行库存分析的可穿戴相机，以及用于观察野生动物的相机。规划拨款用于评估学术界和工业界对此类基础设施的需求。该团队将积极参与研究界。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。