Tile, Inc.

Splunk Inc.

Wayne Patterson

Arunkumar Puppala

Mayank Kumar

Guilherme De Barros Chapiewski

Tyler James Lettau

Melody Quintana

Liuyin Cheng

Robert Doxey

Pierre-Marie Lévêque

Felipe Knorr Kuhn

Sourav Pal

Arindam Bhattacharjee

Srinivas Bobba

Guiherme De Barros Chapiewski

A method includes periodically transmitting, by a community device of a plurality of community devices, and to a tracking system server, an updated location of a tracking device based on a last time a location of the tracking device was provided to the tracking system server, and receiving, by the community device, and from the tracking system server, a request for a location of a tracking device indicated as being lost. The method further includes determining, by the community device, and based on the request, whether the tracking device indicated as being lost is within a proximity of the community device, and transmitting, by the community device, and to the tracking system server, an additional updated location of the tracking device based on whether the tracking device indicated as being lost is within the proximity of the community device.

Tracking device location identification

A tracking system can provide intervention notifications to a user to notify the user that a tracking device is potentially lost or is in a predicted state. The tracking system may notify the user that a tracking device is potentially lost or in a predicted state based on a number of factors, including: a proximity of a tracking device to other tracking devices or a user's mobile device, a movement of a tracking device to more than a threshold distance away from a mobile device or other tracking devices, a location of a tracking device relative to a geographic location or to geographic boundaries, a usage or movement behavior of the tracking device, a usage or movement behavior of a user or owner of a tracking device, information received from an external source, or information received from sensors within the tracking device or a user's mobile.

User intervention based on proximity between tracking devices

Tracking devices can be associated with safe zones, smart zones, and high risk zones. Safe zones correspond to regions where a likelihood that a tracking device is lost within the safe zone is lower than outside the safe zone. High risk zones correspond to regions where a likelihood that a tracking device is lost within the high risk zone is higher than outside the high risk zone. Smart zones correspond to an expected tracking device, mobile device, or user behavior. Home areas are geographic regions in which a user resides, and travel areas are geographic regions in which a user does not reside. A tracking device can be configured to operate in a mode selected based on a presence of the tracking device within a safe zone, a smart zone, a high risk zone, a home area, or a travel area.

Tracking device operation in safety-classified zone

Systems and methods are described for reducing execution time of a query that references external data systems. The system can determine an external data system is capable of processing one or more map or reduce phases of a map-reduce operation. When it is determined that the external data system can process a map or reduce phase, associated operations may be reassigned from the system to the external data system reducing the processing resources used by the system to response to the query and, in some cases, speeding up performance of the query.

Reassigning processing tasks to an external storage system

A tracking system determines if a tracking device is located within a safe zone based on whether a set of safe conditions are satisfied. The set of safe conditions includes a geographic boundary or a geographic location and corresponding threshold distance. The set of safe conditions can also include a time window during which a safe zone is active. When a tracking device is within a safe zone (e.g., geographically and temporally), the tracking device is determined to be safe, and notifications associated with the tracking device can be minimized. The safe zones may be user-selected, user-defined, or determined based on data analytics. If a set of safe conditions are not satisfied, the tracking system generates and sends a notification to the user of the tracking device indicating that the tracking device may be lost.

Safe zones in tracking device environments

A set of tracking devices can be placed within a geographic area as part of a scavenger hunt. A user with a mobile device can traverse the area, and when the user moves within a threshold proximity or communicative range of a tracking device, the mobile device can receive a communication from the tracking device identifying the tracking device. In response to determining that the tracking device is part of the set of tracking devices and thus part of the scavenger hunt, the mobile device can modify a tracking device interface displaying a representation of the tracking device to indicate that the tracking device has been found. In response to each tracking device being found, the mobile device can modify the tracking device interface to indicate that the scavenger hunt has been completed.

Task completion in a tracking device environment

In one embodiment, a method includes detecting, by a first computing device, an event relating to the first computing device and a tracking device. The method includes sending, by the first computing device, a notification of the event to a tracking system server. The notification of the event includes a location associated with the event and a timestamp associated with the event. The method includes receiving, by the first computing device, a last known location of the tracking device from the tracking system server. The last known location is based on the location associated with the event and one or more locations associated with each of one or more location updates received by the tracking system server from one or more second computing devices. The method includes displaying, by the first computing device, the last known location of the tracking device.

Systems and methods are described for partitioning and reducing records at ingest of a worker node. The worker node receives chunks of data from one or more indexers of a data intake and query system based on the execution of a query by the data intake and query system. The worker node assigns records to different record groups based on the content of the records. The system also assigns the record to a partition of a group of partitions. Record data of the records in a particular partition is combined. The system processes the partitions based on the query.

Partitioning and reducing records at ingest of a worker node

In one embodiment, a method includes receiving, by a tracking system server, a data stream comprising events related to a set of devices. The set of devices include tracking devices and mobile devices. Each event contains a location update respectively associated with a tracking device of the set or a mobile device of the set. The method includes programmatically separating, by the tracking system server, the events from the data stream. The method includes batching, for processing by the tracking system server, the separated events into one or more batches. The method includes processing, by the tracking system server, a specific batch of events, of the one or more batches of events, that involves a specific tracking device to estimate a location of the specific tracking device using a location determination algorithm.

Growing community of inventors

Burlingame, CA, United States of America

Wayne Patterson