Development of the Sensor Environment Imaging (SENSEI) Instrument

该项目旨在开发SENSEI（传感器环境成像），这是一种针对大数据科学和工程挑战的仪器，有望在动态环境中提供独特的2D和3D记录传感器平台。SENSEI为广泛的数据驱动应用领域做出了贡献。这些范围从仪器设计和开发的基础研究到数据处理，融合和合成，不仅可以创建仪器，还可以将其用作地面，空中和水下多领域科学和工程的资源。具体来说，SENSEI是一个球形的（超高）分辨率（9倍imax分辨率和~兆像素/分钟图像流），基于视觉的捕获系统，能够进行视频速率数据采集。该仪器将通过对大数据采集、流、处理、存档和访问、可视化和分析的调查，解决科学、工程、医学等领域的挑战。这个项目更广泛的意义将在各种图像密集的科学学科中感受到。环境监测、遥感、态势感知、国土安全以及机械和结构工程等领域可以从拟议的仪器中受益匪浅。该仪器将被设计用于全球研究人员和研究生的复制。该技术将通过课程、项目、论文、出版物以及博物馆展览和会议进行交流。特别注意通过少数民族服务机构网络基础设施赋权联盟（MSI-CIEC）扩大参与。

This project, developing SENSEI (SENSor Environment Imaging), an instrument that targets a broad range of big data science and engineering challenges, promises a unique sensor platform for 2D and 3D recording within dynamic environments. SENSEI contributes to a broad range of data-driven application domains. These range from fundamental research in instrument design and development to data processing, fusion and synthesis, enabling not only the creation of the instrument, but also its use as a resource for multi-domain science and engineering on the ground, in the air, and underwater.Specifically, SENSEI is a spherical, (ultra) high-resolution (9-times-IMAX resolution and ~terapixel/minute flood of imagery), vision-based capture system capable of video-rate data-acquisition. The instrument will address domain challenges in science, engineering, medicine, and beyond by enabling investigation of big data acquisition, streaming, processing, archiving and access, visualization, and analytics.The broader significance of this project will be felt in a variety of image-intensive scientific disciplines. The areas of environmental monitoring, remote sensing, situational awareness, homeland security, and mechanical and structural engineering can greatly benefit from the proposed instrument. The instrument will be designed for replication by the global community of researchers and the graduate students. The technology will be communicated through classes, projects, theses, publications, as well as museum exhibits and conferences. Special attention has been paid to broadening participation through the Minority Serving Institutions Cyber-Infrastructure Empowerment Coalition (MSI-CIEC).