Daqri, LLC

Christopher Broaddus

Brian Mullins

Matthew Kammerait

Wenyi Zhao

Timotheos Leahy

Denny SzuPao Liao

Lucas Kazansky

Sterling Crispin

Aniket Murarka

Pip Tompkin

Christopher Michaels Garcia

Samuel McClellan

Lawrence Arnold Gunn

Muzaffer Kal

Ali M Tatari

Saud Akram

Varun Nasery

Madison Smith

Brendan Drew

Chen-Chi Chu

Austin Eliazar

Techniques of tracking a user's location are disclosed. In some embodiments, a mobile device captures first sensor data using at least one sensor, determines that a predetermined hazard criteria is not satisfied by an environment of a user of the mobile device, suppresses transmission of a representation of the captured first sensor data to a remote computing device based on the determination that the predetermined hazard criteria is not satisfied, captures second sensor data using the sensor(s), determines that the predetermined hazard criteria is satisfied by the environment of the user, and transmits a representation of the captured second sensor data to the remote computing device based on the determination that the predetermined hazard criteria is satisfied by the environment of the user.

Reporting hazardous condition using a mobile device

Techniques of augmented reality device calibration are disclosed. In some example embodiments, a system calibrates a visual inertial navigation (VIN) camera of a head mounted display (HMD) device with at least one eye camera of the HMD device to generate multi-camera calibration parameters, calibrating the at eye camera(s) with a display module of the HMD to generate display calibration parameters, calibrating the IMU with the VIN camera to generate VIN calibration parameters, and calibrating the IMU to the display module using the multi-camera calibration parameters, the display calibration parameters, and the VIN calibration parameters.

Efficient augmented reality display calibration

A remote expert application identifies a manipulation of virtual objects displayed in a first wearable device. The virtual objects are rendered based a physical object viewed with a second wearable device. A manipulation of the virtual objects is received from the first wearable device. A visualization of the manipulation of the virtual objects is generated for a display of the second wearable device. The visualization of the manipulation of the virtual objects is communicated to the second wearable device.

Remote expert system

Electronic device

An application generates instructions to a wearable device to remotely activate a sensor in the wearable device and to receive sensor data from the sensor. A query related to a physical object is received. Instructions to wearable devices are generated to remotely activate at least one sensor of the wearable devices in response to the query. Sensor data is received from at least one of the wearable devices in response to that wearable device being within a range of the physical object.

Remote sensor access and queuing

Visual gestures in a display device allow a user to select and activate features in a display of the display device. A sensor of the display device tracks an eye gaze of a user directed at a display of the display device. A visual gesture module identifies a predefined trigger zone in the display. A virtual object application displays a virtual object in the display based on the eye gaze of the user and the predefined trigger zone.

Visual gestures for a head mounted device

A head mounted device includes a helmet with a guide, a lens frame, at least one display surface mounted to the lens frame. The guide extends from a cavity of the helmet. The lens frame is moveably connected to the guide and moves along an axis of the guide between a first position within the cavity of the helmet and a second position outside the cavity of the helmet. The display surface is transparent and configured to display augmented reality content.

Retractable display for head mounted device

A system and method for visualization of physical interactions are described. Objects in a scene are captured with a viewing device. Physical characteristics of the objects are computed using data from at least one sensor corresponding to the objects. A physics model of predicted interactions between the one or more objects is generated using the physical characteristics of the objects. An interaction visualization is generated based on the physics model of the predicted interactions between the one or more objects. An image of the one or more objects is augmented with the interaction visualization in a display of the viewing device.

Visualization of physical interactions in augmented reality

Head mounted display helmet

A system and method for extracting data for augmented reality content are described. A device identifies a sensing device using an image captured with at least one camera of the device. Visual data are extracted from the sensing device. The device generates an AR content based on the extracted visual data and maps and displays the AR content in the display to form a layer on the sensing device.

Extracting sensor data for augmented reality content

A system and method for visual inertial navigation for augmented reality are described. In some embodiments, at least one camera of a wearable device generates a plurality of video frames. At least one inertial measurement unit (IMU) sensors of the wearable device generates IMU data. Features in the plurality of video frames for each camera are tracked. The plurality of video frames for each camera are synchronized and aligned based on the IMU data. A dynamic state of the wearable device is computed based on the synchronized plurality of video frames with the IMU data for each camera. Augmented reality content is generated and positioned in a display of the wearable device based on the dynamic state of the wearable device.

Growing community of inventors

Mountain View, CA, United States of America

Christopher Broaddus