SENSEI

SENSEI is a reconfigurable, ultra-high-resolution, spherical (4π steradian), photometric, radiometric and photogrammetric real-time sensor-based camera system capable of capturing 3D stereo video and still images of real-world scenes for viewing in collaboration-enabled, nationally networked virtual-reality systems such as CAVE2, and for extracting the sizes, shapes and distances of objects within a scene. Producing roughly a terapixel of imagery per minute, SENSEI is an integrated, distributed cyber-collaboration instrument with four “big” attributes: big-resolution configurable camera systems that create images at about nine times IMAX resolution; big-data GPU computing and storage systems for calibration, stitching, synchronization and streaming; big displays for 3D stereoscopic viewing; and big 10/40/100 Gbps optical networks linking partner institutions. The instrument is developed by UIC’s EVL together with UC San Diego’s Calit2-Qualcomm Institute, Louisiana State University and the Scripps Institution of Oceanography, with Jackson State University and the University of Hawaii at Manoa as early-adopter application partners, and it advances domains from archaeology and oceanography to planetary science and science education.

Original news post: SENSEI: Sensor Environment Imaging (SENSEI) Instrument