SBIR Phase II: Computational Pipeline and Architecture for Personalized Displays

小型企业创新研究(SBIR)第二阶段项目的更广泛影响/商业潜力是改善在公共空间提供个性化信息的显示系统的计算后端的性能。目前，个人在公共场所接收定制信息的主要方式是通过个人设备。在公共场合大量使用个人设备往往会导致低头、孤立，甚至是危险的情况。通过基础设施提供个性化信息可以显著改善这些问题。然而，在使用标准计算架构时，这样做的带宽要求已经高得令人望而却步。该项目旨在提高这样一个系统的性能，允许实际应用程序广泛增强安全性、可访问性、交通和其他领域。这个小型企业创新研究(SBIR)第二阶段项目专注于创建一个可扩展的计算管道和体系结构，使显示系统能够将个性化的可视信息实时引导到大量人。从技术上讲，这涉及到并行计算、传输和显示大量人群的图像数据。该体系结构利用此应用程序中的固有冗余来提供经济高效的解决方案。该项目的目标是创建一个能够实时驱动相当于数千个显示器的系统的计算后端。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is in improving the performance of the computational back-end of a display system that delivers personalized information in public spaces. Currently, the primary method for an individual to receive customized information in public spaces is through personal devices. The heavy use of personal devices in public often leads to heads-down, isolating, and even hazardous situations. The delivery of personalized information through infrastructure can significantly improve these issues. However, the bandwidth requirements in doing so have been prohibitively high using standard computational architectures. This project aims to improve the performance of such a system, allowing practical applications that will broadly enhance safety, accessibility, transportation, and other areas.This Small Business Innovation Research (SBIR) Phase II project focuses on creating a scalable computational pipeline and architecture that will allow a display system to direct personalized visual information in real-time to large numbers of people. Technically, this involves computing, transmitting, and displaying image data for large crowds in parallel. The architecture takes advantage of the inherent redundancies in this application to provide a cost-effective solution. The goal of the project is to create a computational back-end capable of driving, in real-time, a system equivalent to thousands of displays.