Samsara Inc.

Samsara Networks Inc.

Katherine Lee Heddleston

John Charles Bicket

James Robert Saunders

Jennifer T Nguyen

Hendrika Makilya

Anthony Washington

Peter Lee Atkin

Claire Nord

Matthew Lee Basham

Pierre Gavaret

Faiz Abbasi

Suryakant Kaushik

Jason Smith

Matthew Geddie

Darrin Joseph Yuhn, Jr

Jaiveer Kothari

Rachel Hiu Tung Cheng

Frieda Bobay

Dynamic geofences may be generated and updated based on locations of related assets. For example, locations of a group of related assets, including a primary asset and one or more secondary assets, may be determined. A geofence associated with the primary asset may then be analyzed to identify any geofences of secondary assets that overlap. This process may be repeated for each overlapping geofence to identify additional overlap and expand or move a combined dynamic geofence. Environmental aspects such as time of day, weather conditions, and risk levels may be considered for dynamic geofence adjustments. The combined geofence and asset locations may be displayed on a user interface.

Dynamic geofence generation and adjustment for asset tracking and monitoring

Disclosed are systems, methods, and non-transitory computer-readable media for vehicle rider behavioral monitoring. A behavioral monitoring system uses sensor data received from vehicles to monitor the behavior of the vehicle riders (e.g., vehicle operator and/or vehicle passengers) and performs predetermined actions if undesirable behavior is detected. For example, the behavioral monitoring system can transmit a notification or generate a record if inappropriate language or actions are detected.

Vehicle rider behavioral monitoring

A system receives operations data and determines operations indicator(s) from the operations data. An operator on a manufacturing line reports a downtime event via a human machine interface device. The system receives downtime event and uptime information. The system calculates an operations indicator, such as an overall equipment effectiveness indicator, from the downtime event and uptime information. A user interface of the system includes the operations indicator(s) and visualizations. Some visualizations include a timeline indicating downtime events and other operations events. Additional downtime and uptime information is received by the system in substantially real-time. The system dynamically calculates updated operations indicator(s) from the additional downtime and uptime information.

Systems and methods for dynamic manufacturing line monitoring

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San Francisco, CA, United States of America

Katherine Lee Heddleston