Miovision Technologies Incorporated

Microtraffic Inc

Kurtis N McBride

David Thompson

Justin A Eichel

Jean-Pierre Bhavnani

David Andrew Brown

Nicholas Jankovic

Akshaya K Mishra

Nicholas Miller

Jan Bergstrom

Stephan Volodymyr Oryst Pidzamecky

Tomas Benda

Matthew Iulian Muresan

Maximilien Ronald Phillip Schirm

Conrad Seaman

Mary Adelaide Denison

Matthew M Ignor

Kevin Madill

John E Price

Chris Fairles

Di Zhang

Tyler R W Abbott

Anthony I Brijpaul

Tony Brijpaul

Vecheslav Silagadze

Sajad Shiravi Khozani

Tyler Rw Abbott

David G Thompson

There is provided a digital intersection system. The system can include at least one safety-critical device corresponding to a device controlling allowable movements into or through the intersection. The system can also include a local control unit configured to generate and output an intersection state plan, and a safety control unit configured to accept the intersection state plan from the local control unit, validate the state plan, and provide the state plan to any interested device in the intersection, the any interested device comprising the at least one safety-critical device. The system can optionally include at least one sensor corresponding to a device or data source capable of collecting information related to the intersection or local area surrounding the intersection, or impacting traffic patterns at an intersection, wherein the local control unit is further configured to accept inputs from the at least one sensor.

System and method for providing a digital intersection

A system and method are provided for quantifying greenhouse gas (GHG) emissions associated with vehicle traffic. The method includes receiving data from a plurality of devices located at a plurality of traffic intersections in a traffic network, each device comprising at least one sensor configured to obtain data from the corresponding traffic intersection; using the received data and a traffic model to determine vehicle trajectory data; using the vehicle trajectory data and an emissions model to obtain corresponding GHG emissions data; and evaluating the corresponding GHG emissions data to a baseline of GHG emissions using a GHG quantification methodology to determine a GHG reduction that can achieve a carbon offset credit.

System and methods for quantifying greenhouse gas emissions via measurement and modelling of traffic data and for influencing traffic signaling to reduce such emissions

A system and method are provided for transacting data on a network. The system includes a data submission interface, the data submission interface configured to enable one or more data generators to register data with the network, the data being stored in a location accessible to data consumers accessing the network. The system also includes a data consumer interface to enable one or more data consumers to find data on the network and transact with the one or more data generators to obtain access to and/or ownership of data submitted to the network. The system also includes a blockchain network for storing at least a ledger associated with data registered with the network via the data submission interface to provide an immutable assignment of ownership rights of the data to the respective one or more data generators, and to provide an immutable record of data transactions.

Blockchain data exchange network and methods and systems for submitting data to and transacting data on such a network

To address problems that video imaging systems and platforms face when analyzing image and video content for detection and feature extraction, a solution is provided in which accumulating significant amounts of data suitable for training and learning analytics is leveraged to improve over time, the classifiers used to perform the detection and feature extraction, by employing a larger search space and generate additional and more complex classifiers through distributed processing. A distributed learning platform is therefore provided, which is configured for operating on large scale data, in a true big data paradigm. The learning platform is operable to empirically estimate a set of optimal feature vectors and a set of discriminant functions using a parallelizable learning algorithm. A method of adding new data into a database utilized by such a learning platform is also provided. The method comprises identifying an unrepresented sample space; determining new data samples associated with the unrepresented sample space; and adding the new data samples to the database.

Machine learning platform for performing large scale data analytics

A method and system are provided for modeling and optimizing the performance of transportation networks, e.g. for traffic signal retiming. The modeling and optimization may be implemented by obtaining a video signal from a camera at a first intersection; processing data from the video signal to determine at least one value indicative of a corresponding traffic flow through the first intersection; sending the at least one value to a remote processing entity via a wireless network to enable the remote processing entity to update a model of the transportation network, the transportation network comprising the first intersection and at least a second intersection; receiving from the remote processing entity, an instruction for a controller at the first intersection, the instruction having been determined from an update of the model based on data from at least the second intersection; and having the instruction implemented by the controller at the first intersection to optimize at least a portion of the transportation network.

System and method for modeling and optimizing the performance of transportation networks

A method and system are provided for remotely analyzing multimedia content, in particular video, and extracting information from such multimedia content. The system analyses, e.g. a video file by way of an FTP, file upload or streaming data etc., and configuration settings specified in one embodiment by a separate entity at one of multiple server entities. The system also comprises one or more remote server entities utilizing data storage and data processing capabilities. In one embodiment the client sends a video source and configuration settings over a network, the remote server accepts the video source, generates configuration settings, and a data processing module analyzes the video content to extract data from the video.

Method and system for analyzing multimedia content

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Kitchener, Canada

Kurtis N McBride