Mars, Incorporated

Samsara Inc.

Whistle Labs, Inc.

Tractive X Inc.

Kevin R Lloyd

Chris Aiuto

Robert Mott

Steven Eidelman

John Charles Bicket

Thomas Francis Doyle

James C Brailean

Kyu Sang Lee

Ben Jacobs

Justin Joel Delegard

Beau Oyler

Kavya U Joshi

Sabrina Quinn Shemet

Justin Pan

Glen Phillip McGillan

Nathanael C Yoder

Abhinav Acharya

Mark Sires

Jeff Tung

Eric Klaus Allseits

Lucas Glenat

Jason Krikorian

Matthew Chasan

A device orientation calibration system to perform operations that include: accessing inertial measurement unit (IMU) data generated by an IMU mounted upon an object that corresponds with a first reference frame, the IMU data indicating a second reference frame that comprises a Z-axis, a Y-axis, and an X-axis; performing a calibration of the IMU data to align the second reference frame of the IMU with the first reference frame of the object, the performing the calibration comprising: determining a gravitational vector based on a first portion of the IMU data; applying a first rotation to the IMU data to align the Z-axis of the second reference frame with the gravitational vector; determining a forward motion vector based on a second portion of the IMU data; and applying a second rotation to the IMU data to align the X-axis of the second reference frame with the forward motion vector.

Device orientation calibration system

Disclosed are systems, methods, and non-transitory computer-readable media for configuration of optical sensor devices in vehicles based on thermal data. To manage the temperature of an optical sensor device, temperature data describing the current temperature of the optical sensor is used to determine whether the current temperature meets or exceeds a predetermined threshold temperature. If the current temperature meets or exceeds the threshold temperature, the optical sensor device may be configured into a modified operating mode to reduce the current temperature of the optical sensor device. For example, the operating mode of the optical sensor device may be modified to terminate one or more processes, reduce a frame rate at which image/video data is captured, and the like.

Configuration of optical sensor devices in vehicles based on thermal data

Approaches, techniques, and mechanisms are disclosed for provisioning wireless device profiles of a wireless computing device. In this context, a wireless device profile generally may comprise one or more network and device settings including network identifiers, network security types, network keys, and other configuration information that enables a computing device to connect to a particular wireless computer network. According one embodiment, a computer-implemented method comprises establishing, with a first device, a first wireless connection of a first wireless connection type; receiving, from the first device via the first wireless connection, provisioning data for establishing, with a second device, a second wireless connection of a second wireless connection type that is different than the first wireless connection type; establishing, based on the provisioning data, the second wireless connection with the second device.

Provisioning wireless device profiles

A system, method, and apparatus for compressing and transmitting motion data. The method comprises receiving high fidelity motion data from a motion sensing device, the high fidelity motion data including a plurality of motion data samples; transmitting the high fidelity motion data to a server; compressing the high fidelity motion data, wherein compressing the high fidelity motion data comprises identifying a subset of the motion data samples and generating a value representing the summary of activity based on the subset of the motion data samples; and transmitting the compressed high fidelity motion data to a server.

System and method for compressing high fidelity motion data for transmission over a limited bandwidth network

A method for creating dynamic safe zones comprises determining, by a tracking device, the tracking device is outside a domicile, monitoring, by the tracking device, a location of the tracking device, in response to the location satisfying a condition, creating a safe zone for the tracking device, and while the tracking device is within the safe zone, reducing power consumption of the tracking device, wherein the method is performed using one or more computing devices.

Safe zone creation to reduce power consumption in an electronic digital tracking device

An accessory assembly for coupling a unit to an animal band, having a support frame that includes a locking gap positioned on one end of the support frame, a latch protrusion positioned on the other end of the support frame, a proximally positioned receiving aperture, and a plurality of strap retention structures configured for coupling to at least one strap, the straps configured for coupling to an animal band. The accessory assembly further has a coupling latch having an actuator positioned on one end of the coupling latch and a locking mechanism positioned on the other end of the coupling latch opposite the actuator where the coupling latch is configured to be coupled to the support frame by placing the locking mechanism within the locking gap and positioning the actuator around the latch protrusion, and where the coupling latch is further configured to laterally move the locking mechanism.

Accessory assembly for coupling a unit to an animal band

Charm

Approaches, techniques, and mechanisms are disclosed for determining interaction among animals via proximity relationships. An interaction between two or more animals may generally refer to any action by an animal that influences one or more other animals and that may be inferred based on a detected physical proximity relationship between the animals. According to various embodiments, proximity relationships between animals may be detected based on determining an approximate physical distance between computing devices associated with the animals. In other embodiments, proximity relationships between animals may be detected based on detecting the co-location of computing devices associated with the animals.

Detecting interaction among entities via proximity

Growing community of inventors

San Carlos, CA, United States of America

Kevin R Lloyd