US 11,776,218 B1
Networked remote collaboration system
Devin Bhushan, San Jose, CA (US); Seunghee Han, San Jose, CA (US); Caelin Thomas Jackson-King, Gormley (CA); Jamie Kuppel, Sunnyvale, CA (US); Sammy Lee, San Jose, CA (US); Derek Sykes, East Palo Alto, CA (US); Stanislav Yazhenskikh, Santa Clara, CA (US); and Jim Jiaming Zhu, Scarborough (CA)
Assigned to SPLUNK INC., San Francisco, CA (US)
Filed by SPLUNK INC., San Francisco, CA (US)
Filed on Oct. 30, 2020, as Appl. No. 17/86,318.
Claims priority of provisional application 63/093,111, filed on Oct. 16, 2020.
Claims priority of provisional application 63/093,123, filed on Oct. 16, 2020.
Claims priority of provisional application 63/093,143, filed on Oct. 16, 2020.
Int. Cl. G06T 19/00 (2011.01); G06T 7/521 (2017.01); G06T 15/20 (2011.01); H04L 67/131 (2022.01); H04L 65/4053 (2022.01)
CPC G06T 19/006 (2013.01) [G06T 7/521 (2017.01); G06T 15/205 (2013.01); H04L 67/131 (2022.05); H04L 65/4053 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method comprising:
generating, based on first sensor data captured by a depth sensor on a mobile device, three-dimensional data representing a physical space that includes a real-world asset, wherein a data source stores a mapping between an asset identifier and the real-world asset, and raw machine data produced by the real-world asset is linked to the asset identifier;
generating, based on second sensor data captured by an image sensor on the mobile device, two-dimensional data representing the physical space;
combining, based on a correlation the three-dimensional data and the two-dimensional data, the two-dimensional data and the three-dimensional data into an extended reality (XR) stream, wherein the XR stream includes a digital representation of the real-world asset; and
transmitting, to a remote device, the XR stream for rendering at least a portion of the digital representation of the real-world asset in a remote XR environment.