Splunk Inc.

Cisco Technology, Inc.

Splunkinc.

Stanislav Yazhenskikh

Devin Bhushan

Jim Jiaming Zhu

Seunghee Han

Jamie Kuppel

Caelin Thomas Jackson-King

Sammy Lee

Derek Sykes

Jesse Chor

Glen Wong

Various implementations set forth a computer-implemented method for scanning a three-dimensional (3D) environment. The method includes generating, in a first time interval, a first extended reality (XR) stream based on a first set of meshes representing a 3D environment, transmitting, to a remote device, the first XR stream for rendering a 3D representation of a first portion of the 3D environment in a remote XR environment, determining that the 3D environment has changed based on a second set of meshes representing the 3D environment and generated subsequent to the first time interval, generating a second XR stream based on the second set of meshes, and transmitting, to the remote device, the second XR stream for rendering a 3D representation of at least a portion of the changed 3D environment in the remote XR environment.

Mesh retexturing in an extended reality environment

Various implementations or examples set forth a method for scanning a three-dimensional (3D) environment. The method includes generating, based on sensor data captured by a depth sensor on a device, one or more 3D meshes representing a physical space, wherein each of the 3D meshes comprises a corresponding set of vertices and a corresponding set of faces comprising edges between pairs of vertices; determining that a mesh is visible in a current frame captured by an image sensor on the device; determining, based on the corresponding set of vertices and the corresponding set of faces for the mesh, a portion of the mesh that lies within a view frustum associated with the current frame; and updating the one or more 3D meshes by texturing the portion of the mesh with one or more pixels in the current frame onto which the portion is projected.

Mesh updates via mesh frustum cutting

Various implementations of the present application set forth 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, 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, where 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.

Networked remote collaboration system

Extended reality (XR) software application programs establish remote collaboration sessions in which a host device and one or more remote devices can interact. When initiating a remote collaboration session, an XR application in a host device determines a collaboration area. The collaboration area corresponds to a portion of a real-world environment that is shared by the host device with the one or more remote devices. In some embodiments, the collaboration area can be determined automatically and/or based on user input. The XR application causes sensors associated with the host device to scan the collaboration area. Then, the XR application transmits, to the one or more remote devices, a three-dimensional representation of the collaboration area for rendering in one or more remote XR environments.

Collaboration spaces in extended reality conference sessions

Various implementations or examples set forth a method for scanning a three-dimensional (3D) environment. The method includes generating a 3D representation of the 3D environment that includes one or more 3D meshes. The method also includes determining at least a portion of the 3D environment that falls within a current frame captured by the image sensor. The method further includes generating one or more additional 3D meshes representing the at least a portion of the 3D environment and combining the one or more additional 3D meshes with the one or more 3D meshes into an update to the 3D representation of the 3D environment.

Mesh updates in an extended reality environment

Live updates in a networked remote collaboration session

Submesh-based updates in an extended reality environment

A client device that includes a camera and an extended reality client application program is employed by a user in a physical space, such as an industrial or campus environment. The user aims the camera within the mobile device at a real-world asset, such as a computer system, classroom, or vehicle. The client device acquires a digital image via the camera and detects textual and/or pictorial content included in the acquired image that corresponds to one or more anchors. The client device queries a data intake and query system for asset content associated with the detected anchors. Upon receiving the asset content from the data intake and query system, the client device generates visualizations of the asset content and presents the visualizations via a display device.

Codeless anchor detection for detectable features in an environment

Collaboration spaces in networked remote collaboration sessions

Codeless anchor detection for aggregate anchors

Processing updated sensor data for remote collaboration

A client device that includes a camera and an extended reality client application program is employed by a user in a physical space, such as an industrial or campus environment. The user aims the camera within the mobile device at a real-world asset, such as a computer system, classroom, or vehicle. The client device acquires a digital representation, comprising a 2D representation of a physical space and a depth map, and detects 3D objects included in the acquired representation that corresponds to one or more anchors. The client device queries a data intake and query system for asset content associated with the detected anchors. Upon receiving the asset content from the data intake and query system, the client device generates visualizations of the asset content and presents the visualizations via a display device.

Codeless anchor detection for three-dimensional object models

A client device that includes a camera and an extended reality client application program is employed by a user in a physical space, such as an industrial or campus environment. The user aims the camera within the mobile device at a real-world asset, such as a computer system, classroom, or vehicle. The client device acquires a digital representation, comprising a 2D representation of a physical space and depth map, and detects 3D objects included in the acquired representation that corresponds to one or more anchors. The client device queries a data intake and query system for asset content associated with the detected anchors. Upon receiving the asset content from the data intake and query system, the client device generates visualizations of the asset content and presents the visualizations via a display device.

Codeless anchor generation for three-dimensional object models

Various implementations of the present application set forth a method comprising generating, three-dimensional data and two-dimensional data representing a physical space that includes a real-world asset, generating an adaptable three-dimensional (3D) representation of the physical space based on the two-dimensional and three-dimensional data, where the adaptable 3D representation includes a plurality of coordinates representing different positions in 3D coordinate space corresponding to the physical space, transforming the adaptable 3D representation into geometry data comprising a set of vertices, faces comprising edges between pairs of vertices, and texture data, transmitting the geometry data to a remote device, wherein the remote device, constructs, based on the geometry data, the adaptable 3D representation of the physical space for display at a location of the remote device in a remote environment, and modifies, based on an input, at least one of a dimension or a position of the adaptable 3D representation.

Growing community of inventors

Santa Clara, CA, United States of America

Stanislav Yazhenskikh