Geotab Incorporated

Paul Philip Ciolek

Anthonios Partheniou

Robert Spencer Hockin

Xiaohui Yu

Alexander K Koch

Michael Giannikouris

Kenneth James Hendrik Geertsema

Ryan Andrew MacDonald

Thomas Arthur Walli

Meghan Frances Fotak

Michael Pirruccio

Jialin Zhu

Weinan Sun

Matthew Konski

Daniel Alec Sheen

Patrick Wojcik

James Johnston

Michael Santorelli

A method and a system for impact detection in a stationary vehicle are provided. The method includes putting a telematics device into a sleep mode and performing a first micro wakeup. In response to determining that a first value read from a sensor during the micro wakeup is greater than a noise threshold, increasing a frequency of the micro wakeups and a sampling rate of the sensor. The method also includes reading a second value from the sensor during a second wakeup, performing a regular wakeup, and sending the first and second values during the regular wakeup.

Device for low-power acceleration detection in a telematics device

A method and apparatus for use in a mobile device telemetry system is disclosed. The method and apparatus relate to aspects in a mobile device protocol health monitoring system. The method and apparatus provide a system to monitor and assess protocol health, log protocol health data and communicate the logs of protocol health data to a remote system. The system may also take corrective actions based upon specific indications of protocol health. The method and apparatus also provides protocol health indications and corrective actions based upon monitoring the message transmission rate. The method and apparatus also provides protocol health indications and corrective actions based upon monitoring for a line disconnect.

Mobile device protocol health monitoring system

A method and a device for low-power acceleration detection in a stationary vehicle are provided. The method includes putting a telematics device into a sleep mode, performing a plurality of micro wakeups during which a plurality of accelerometer readings are captured. The method further includes sending the plurality of accelerometer readings over a network interface to a telematics server. The telematics device which carries out the method has a controller, memory, and network interface. An accident impact profile may be recorded during the micro wakeups and sent during a regular wakeup duration for analysis by the telematics server.

Low-power acceleration detection in a telematics device

A method for by an asset tracking system is provided. An example method includes receiving a first plurality of data messages from an asset coupled to the asset tracking system and attempting to identify an asset type fingerprint based on the first plurality of messages. In response to failing to identify an asset type fingerprint based on the first plurality of messages, the example method further includes requesting a determined asset type fingerprint for the asset from an asset data analysis system, providing access to the first plurality of data messages to the asset data analysis system, receiving the determined asset type fingerprint for the asset from the asset data analysis system, and obtaining asset information from the asset by decoding a second plurality of data messages received from the asset in accordance with a set of signal definitions linked to the determined asset type fingerprint.

Systems and methods for asset type fingerprinting and data message decoding

Method and system for impact detection in a stationary vehicle

A method for an asset tracking system is provided. An example method includes receiving data messages from an asset coupled to the asset tracking system and attempting to obtain asset information from data messages with reference to a local set of signal definitions indicating how data messages received from the asset are to be decoded into asset information. Upon failing to obtain the asset information the asset tracking system requests from an asset data analysis system the generation of a generated signal definition indicating how the data message of the outstanding type is to be obtained from the asset. The asset tracking system provides access to at least one undecoded data message of the outstanding data type to the asset data analysis system, receives the generated signal definition from the asset data analysis system, and adds the generated signal definition to the local set of signal definitions.

Systems and methods for data message decoding and asset type fingerprinting

A method and a system for impact detection in a stationary vehicle are provided. The method includes putting a telematics device into a sleep mode, performing at least one micro wakeup, determining at least one value from at least one sensor during the micro wakeup. The method also includes storing the at least one value, returning to sleep mode, and waking up from the sleep mode. The method further includes sending the at least one value over a network interface to a telematics server. The telematics device which carries out the method has a controller, memory, and network interface. An accident impact profile may be recorded during the micro wakeups and sent during a wakeup duration for analysis by the telematics server.

Systems, devices, and methods for asset tracking through specialized connectors and specialized casing units are provided. An example system includes an asset tracking device and a specialized casing unit to house the asset tracking device and to connect the asset tracking device to a communication port of an asset. The asset tracking device includes a communication port interface to interface with the communication port of the asset directly, and to interface with the communication port of the asset through the specialized casing unit. The asset tracking device further includes a controller to determine whether the asset tracking device is interfaced with the communication port of the asset directly or through the specialized casing unit, and when it is determined that the asset tracking device is interfaced with the communication port of the asset through the specialized casing unit, configure the asset tracking device to operate in a specialized operating mode.

Specialized casing unit detection for asset tracking devices

Methods for asset type fingerprinting are provided. An example method involves an asset tracking system failing to identify an asset type fingerprint and requesting an asset type fingerprint from an asset data analysis system. The asset data analysis system generates a proposed asset type fingerprint, links the asset type fingerprint to a set of signal definitions that indicate how to decode data messages from the asset. The asset data analysis system transmits the proposed asset type fingerprint to the asset data analysis system, which then decodes at least some data messages from the asset thus obtaining asset information. The method may be used to identify vehicle types and decode proprietary or non-standard data messages via a vehicle's diagnostic port.

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Oakville, Canada

Paul Philip Ciolek