I-Corps: Low-Cost Holographic TelePresence System

这个I-Corps项目的更广泛的影响/商业潜力是将一个低成本的全息远程呈现系统商业化，用于专业体育产业。该系统可以有效地提高体育俱乐部和教练员从世界各地招募和训练运动员的成绩，降低成本。全息远程呈现可以显著提高远程工作和在线培训的效率，并催生新的用例和服务，提高生活质量。通过这个项目，该团队旨在通过客户发现将他们对无处不在的机器视觉系统的基础研究转化为市场。该团队计划将从这个项目中学到的知识整合到他们的课程、高级设计项目和研究生的指导中。这样一来，他们将培养出能够将技术转化为商品并促进经济增长的下一代工程师和研究人员。这个I-Corps项目探索低成本全息远程呈现系统的商业潜力。全息远程呈现系统涉及先进无线通信、边缘计算系统和计算机视觉的核心技术。这个项目目前的细分市场是体育产业，特别是大学体育和专业体育馆。该项目的成果将为实现未来全息通信系统的新技术商业化提供见解，包括多摄像头智能融合方法，该方法可靠地从多个摄像头构建点云（空间中的一组数据点），具有时间一致性，实时自适应点云压缩和传输方法，根据服务质量要求有效压缩点云。以及实时网络感知人工智能（AI）驱动的点云重建和传输，可以通过无线链路有效地传输到智能混合现实（MR）玻璃。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is to commercialize a low-cost holographic telepresence system for the professional sports industry. The system can effectively improve performance and reduce the cost for the sports clubs and coaches in recruiting and training athletes from anywhere in the world. The holographic telepresence may significantly improve the efficiency of remote working and online training and spur new use cases and services improving quality of life. Through this project, the team aims to translate their fundamental research on ubiquitous machine vision systems to the market place via customer discovery. The team plans to integrate the knowledge learned from this project into their courses, senior design projects, and the mentoring of graduate students. In this way, they will cultivate next-generation engineers and researchers who can translate technologies into commercial products and help grow the economy. This I-Corps project explores the commercial potential of a low-cost holographic telepresence system. The holographic telepresence system involves core technologies from advanced wireless communications, edge computing systems, and computer vision. The current market segment for this project is the sports industry, specifically collegiate sports and professional gymnasiums. The outcomes of the project will provide insights into the commercialization of new technologies that enable future holographic communication systems including multi-camera intelligent fusion methods that reliably construct the point cloud (a set of data points in space) from multiple cameras with temporal consistency, real-time adaptive point cloud compression and transmission methods that efficiently compress the point cloud based on the requirement of the service quality, and real-time network-aware artificial intelligence (AI)-powered point cloud reconstruction and transmission that can be efficiently transmitted to the smart mixed reality (MR) glass via wireless links.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.