Visual Defence Inc.: federal grants and contributions: 22 agreements; $3.7M value; 1 departments; 7 programs.
Assay record ASY-CA-1JZY1NP0JX · Cite as: Assay Systems, “Visual Defence Inc.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/visual-defence-inc/
Headquartered in Richmond Hill, Ontario, Canada, Visual Defence is a market leader in the implementation of AI and smart cameras for optimizing municipal operations. Developed in partnership with more than 150 cities, Visual Defence’s ROVER AI in-vehicle cameras help cities operate in a sustainable manner, allowing cities to share resources, extend the life of infrastructure, provide public services effectively, keep the roads well maintained and traffic moving, and accomplish more with existing staff levels. Under this project, with the support of SDTC, Visual Defence will work together with
CIIP Brazil Project IMPRESS: Intelligent measurement of Performance for Recommendations to Enhance sales and services with Brazilian partner TecSinapse to develop a novel and innovative solution for car dealerships design to improve their sales and optimize their operations through generation of Key Performance Indicators.
In this project, Visual Defence expand the CityROVER technology to cover additional innovative use cases in transit.
In this project, Visual Defence will implement a variety of GIS enhancements to the ROVER AI technology.
Visual Defence is currently managing dozens of internal AI projects related to performing various research and business functions which use different machine learning frameworks, environments, data pipelines, architectures and datasets. Under this AI assist project, Visual Defence will review, plan and implement processes and technologies to streamline the management of its AI computing infrastructure and project portfolio, which will allow the company to accelerate and scale its AI capacity.
Visual Defence is continuously developing and improving its computer vision AI and machine learning algorithms. The transformation of real-world data into a usable form which the computer understands is key to Visual Defence’s business. A trainee will learn data transformation, annotation, and quality techniques to support the development and improvement of AI models and algorithms.
Visual Defence will train youth to implement data annotation and quality processes that transform raw data and turn it into machine usable data to allow a supervised learning algorithm. Youth will learn about different types of data, data balancing, data quality, and data metrics related to AI.
Exploration of machine learning workflows for image analysis. Combining different types of artificial intelligence models (for example, object detection and image classification) to improve inference quality and performance.
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
Exploration of machine learning artificial intelligence for video analysis and the available AI vision frameworks and architectures as well as understanding of hardware requirements. Extensive understanding of the various AI vision frameworks and their constraints will allow us to minimize the risks and variables in developing a threat classification technology.
Visual Defence will train youth to implement data annotation and quality processes that transform raw data and turn it into machine usable data to allow a supervised learning algorithm. Youth will learn about different types of data, data balancing, data quality, and data metrics related to AI.
Visual Defence will train youth to implement data annotation and quality processes that transform raw data and turn it into machine usable data to allow a supervised learning algorithm. Youth will learn about different types of data, data balancing, data quality, and data metrics related to AI.
The project focuses on the development and testing of generative AI interfaces to be used as part of Visual Defence’s AI product portfolio.
The project focuses on the development and testing of generative AI interfaces to be used as part of Visual Defence’s AI product portfolio.
The project focuses on the development and testing of generative AI interfaces to be used as part of Visual Defence’s AI product portfolio.
The purpose of this CanExport Innovation agreement is to support Canadian organizations to carry out activities related to pursuing opportunities that would lead to establishing new collaborative Research and Development (R&D) partnerships between the Recipient and foreign organizations in order to support R&D on the Recipient’s technology and advance its commercialization.
Agronomix Software plans to undertake the project of expanding sales into three central European countries. This will be done by attending events in Europe to make connections, build relationships, and demonstrate our software.
The Project will support development of intellectual property capacity within the Firm
VDI seeks to expand its business opportunities in Ukraine covering various sections such as transportation, critical infrastructure, government and homeland security, utilizing VDI's state of the art technologies.
The Project will support development of intellectual property capacity within the Firm.
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.