Mcmaster University

Geotab Incorporated

Amir Antoun Renne Sayegh

Terence Douglas Todd

Thomas Arthur Walli

Javed Siddique

William John Ballantyne

Amin Farbod

Dongmei Zhao

Enrique J Vargas

Systems and methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

Systems and methods for vehicle data collection by image analysis

Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

Methods for vehicle data collection by image analysis

Systems and methods for training image processing models for vehicle data collection by image analysis are provided. An example method involves accessing an image of a field of interest in a vehicle captured by a camera in the vehicle, providing a user interface to, display the image, receive input that defines a region of interest in the image that is expected to convey vehicle information, and receive input that assigns a label to the region of interest that associates the region of interest with an image processing model that is to be trained to extract a type of vehicle information from the region of interest, and contributing the image, labelled with the region of interest and the label associating the region of interest to the image processing model, to a training data library to train the image processing model.

Systems and methods for training image processing models for vehicle data collection

A mobile station is assisted to perform a handoff from a current access point in a current extended service set (ESS) to a new access point in a target ESS. A HandOver Mediator, possibly in conjunction with a handover server, performs an authentication process and an association process with an access point in the target ESS while masquerading as the mobile station. Parameters resulting from the authentication process and the association process are then passed to the mobile station and the mobile station can perform a handoff to the new access point.

Reducing handoff latency for a mobile station

A mesh node of an infrastructure wireless local area network 'WLAN' is coupled to a battery which is coupled to a device that is able to harness energy from a source of renewable energy. Energy management of the mesh node includes conducting simulations of a system comprising the mesh node, the device, and the battery in its current state of charge, determining an admissible load for the mesh node from the simulations, and withholding communication services by the mesh node for one or more periods of time a cumulative duration of which is related to power consumption of the mesh node when handling the admissible load. The simulations involve meteorological data related to the source of renewable energy in the vicinity of the mesh node.

Resource allocation and outage control for renewable energy WLAN  infrastructure mesh node

Resource allocation and outage control for renewable energy WLAN infrastructure mesh node

A wireless local area network includes multiple access points with overlapping coverage, and modes of different power consumption are available to the access points. It is assessed whether the traffic load of the network may be adequately supported using fewer access points in an active mode. If so, the traffic load is redistributed from certain active access points among the remaining access points in the active mode. The certain access points are switched into a mode of lower power consumption than the active mode. Similarly, it is assessed whether the traffic load of the network is adequately supported by the current number of access points in an active mode. If not, certain access points which are in a mode of lower power consumption are switched to the active mode. The traffic load is redistributed among the access points in the active mode including the certain access points.

Growing community of inventors

Hamilton, Canada

Amir Antoun Renne Sayegh