Lytx, Inc.

Syrus C Nemat-Nasser

Andrew Tombras Smith

Daniel A Lambert

Gabriela Surpi

Larry Richardson

Greg Sutton

Erwin R Boer

Christopher S Williams

Tom Butch

A system for capturing an event comprises a processor and a memory. The processor was configured to a) determine that a vehicle is approaching a location of interest; b) capture an image of the location; c) analyze the image to determine a state of the location; and d) modify an event criterion based at least in part on the state of the location. The memory is coupled to the processor and is configured to provide the processor with instructions.

Capturing driving risk based on vehicle state and automatic detection of a state of a location

A system for event triggering comprises an interface and a processor. An interface configured to receive a face tracking data and receive a sensor data. The processor configured to determine a degree of drowsiness based at least in part on the face tracking data and the sensor data; in the event that the degree of drowsiness is greater than a first threshold, capture data; and in the event that the degree of drowsiness is greater than a second threshold, provide a warning.

Direct observation event triggering of drowsiness

A system for providing real-time alerts or actions comprises an image capturing device and a processor and a memory. The image capturing device is for capturing an image during vehicle operation and of an expected driver location. The processor is configured to: 1) detect a face of a driver in the image; 2) determine a set of face data from the image; and 3) determine authentication based at least in part on the set of face data. The memory is coupled to the processor and configured to provide the processor with instructions.

Using passive driver identification and other input for providing real-time alerts or actions

A system for passive driver identification comprises an input interface and a processor. The input interface is configured to receive a collection of face data from a vehicle event recorder. The processor is configured to 1) determine a set of face data of the collection of face data that is associated with a trip; 2) determine a first album associated with the trip, wherein the set of face data associated with the trip is similar to face data of other trips in the first album, and wherein the set of face data associated with the trip is dissimilar to face data of a set of trips in a second album; and 3) assign an identifier that associates the trip to the first album.

Passive driver identification

A system for driver identification comprises a processor and a memory. The processor is configured to receive a driving maneuver signature and to determine a driver identification based at least in part on the driving maneuver signature. The memory is coupled to the processor and is configured to provide the processor with instructions.

Driver identification based on driving maneuver signature

A dynamic uploading protocol comprises an input interface configured to receive a manifest comprising a plurality of events which may be uploaded; wherein the manifest additionally comprises sensor information relating to each of the plurality of events. The system for a dynamic uploading protocol additionally comprises a processor configured to determine whether to upload additional information about each event, wherein determining whether to upload additional information about each event is based at least in part on the sensor information and contextual information. The system for a dynamic uploading protocol additionally comprises an output interface configured to request the additional information. The system for a dynamic uploading protocol additionally comprises a memory coupled to the processor and configured to provide the processor with instructions.

Dynamic uploading protocol

A system for identifying a driver comprises an image capturing device, a processor, and a memory. The image is captured during vehicle operation and of an expected driver location. The processor is configured to detect a face of a driver in the image, determine a set of face data from the image, and identify the driver based at least in part on the set of face data. The memory is coupled to the processor and configured to provide the processor with instructions.

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San Diego, CA, United States of America

Syrus C Nemat-Nasser