Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Fall Self-Recovery Lift Assist to Reduce Exposure to COVID-19 Among Seniors in Assisted Living & Long-term Care by Enabling Independent Living

More than one in five seniors aged 65 and over will fall at least once a year, many of them repeatedly. Fortunately, most of these falls don’t result in major injuries but often the fall victims are unable to get back up on their own and require assistance from someone. For those that live alone or whose partners are unable to assist them, they need to either call for Emergency Medical Services or call on a friend or neighbour to help. Falls are one of the leading causes for admission to assisted living and long-term care facilities where we have seen the devastating impacts from COVID-19. This project seeks to design an affordable, in-home portable assistive device to allow seniors or those with mobility limitations to recover from falls themselves where there is no resulting injury and remain living independently.

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Faculty Supervisor:

Clifton Johnston;Glen Hougan

Student:

Partner:

Axtion Independence Mobility Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Dalhousie University

Program:

Accelerate

Project 4C: Cumulus Cloud Cluster Computing

Forests are one of Canada’s greatest commodities in terms of natural resources—almost two-thirds of British Columbia alone is populated by forests, measuring 60 million hectares. Worldwide, forests continue to impact global infrastructure, economy and environment. Understanding how to monitor and track usage and health of our forests is essential for the management and longevity of this essential resource.
This project is intended to support the research and development of a pilot project for a new Global Forest Monitoring System in B.C. through a joint industry / government initiative. Data collection through use of satellite feeds and other sources will leverage secure cloud computing to layer data on a hectare by hectare basis providing varying authentication and authorization for each layer. The goal of the system is to not only collect data about BC forest in a real-time manner but to perform computation on this data in a way that is both…

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Faculty Supervisor:

Yvonne Coady

Student:

Partner:

MacDonald, Dettwiler and Associates Inc (Richmond, BC)

Discipline:

Computer science

Sector:

University:

University of Victoria

Program:

Accelerate

Investigating inclusive blood donation policy options for sexual and gender minorities

This project will investigate possible alternative blood donation screening criteria that could lead to sexual and gender minorities who are sexually active being allowed to donate blood without a mandatory waiting period since their last sexual encounter. Currently in Canada, any cisgender man who has sex with another man must wait three months since that sex before they are eligible to donate blood; this also applies to trans women who have not had lower gender affirming surgery. Community advocacy organizations such as the Community-Based Research Centre, have long argued that this type of time-based deferral policy is unnecessarily discriminatory on the grounds of sexual orientation and gender identity. This project will investigate claims that the current policy is necessary, and propose alternative policies for future safety evaluation.

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Faculty Supervisor:

Nathan Lachowsky

Student:

Partner:

Community Based Research Centre Society

Discipline:

Life Sciences

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Exploring and Improving Self-supervised Methods for Large-scale Video Recognition

With the advancement of modern technology, especially the increase in network speed, videos are taking more and more important places among media types. With vast potential applications, video recognition has received great attention. However, video recognition is a non-trivial task: a lot of training data are needed for complicated neural networks, but annotated data are hard to acquire. As a result, there is a growing tendency to bank on self-supervised learning approaches that can make use of unlabeled data. Some results have been made but it is still a pretty preliminary topic with a lot of room to improve. This project aims to dig into this topic, design and experiment more efficient algorithms and train on larger-scale datasets. The expected result would be an improved large-scale video recognition pretrained model that achieves competitive performance.

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Faculty Supervisor:

Animesh Garg

Student:

Partner:

Layer 6 AI

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

University of Toronto

Program:

Accelerate

SOTI SNAP Widget SDK Back-end Deployment

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. With SOTI SNAP apps can be created in minutes and the apps created can run on both Android and iOS devices.
SOTI is interested in created a widget SDK that will allow third parties to extend the capabilities of SNAP. The SDK will allow new widgets to be created that will allow SNAP apps to connect to a wide variety of external systems, and IoT devices. SNAP widgets could then be downloaded and installed from a widget store. In this way the capabilities of SOTI SNAP could be dramatically enhanced by leveraging the capabilities of the greater community.

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Faculty Supervisor:

Eyal de Lara

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Preparation of Sentinel Wraps for Detection of Pathogens in Food Packages

The goal of this project is to develop and integrate the required technology to create food wrapping materials that can tell any untrained consumer if the food is safe to eat, without the need to use sophisticated equipment. This will be achieved by incorporating a barcode-type biosensor on an antifouling food wrap. The biosensor is capable of detecting traces of specific pathogenic strain of bacteria Escherichia coli O157:H7. Therefore, food contamination can be screened on the shelf via a simple handheld fluorescence detector device. We anticipate that the developed intelligent food packaging material will report the presence of target pathogens without the need to open the packaging. This research is undertaken in collaboration with an industry partner, Toyota Tsusho Canada Inc. (TTCI), who will ultimately validate and commercialize the final technologies and products.

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Faculty Supervisor:

Tohid Didar

Student:

Partner:

Toyota Tsusho Canada Inc

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

McMaster University

Program:

Accelerate

SOTI SNAP Widget SDK Front-end and User Interface Toolkit

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. With SOTI SNAP apps can be created in minutes and the apps created can run on both Android and iOS devices.
SOTI is interested in created a widget SDK that will allow third parties to extend the capabilities of SNAP. The SDK will allow new widgets to be created that will allow SNAP apps to connect to a wide variety of external systems, and IoT devices. SNAP widgets could then be downloaded and installed from a widget store. In this way the capabilities of SOTI SNAP could be dramatically enhanced by leveraging the capabilities of the greater community.

View Full Project Description
Faculty Supervisor:

Eyal de Lara

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

COVID-19 and the Future of Ontario’s Agricultural Workforce

The Canadian agricultural sector has been particularly effected by the outbreak of the COVID-19 pandemic. Due to shortages in agricultural labour, the sector relies on the annual arrival of migrant workers, which in 2020 was disrupted due to the travel restrictions and quarantine orders enacted to fight the spread of this virus. As a result, many agricultural employers are struggling to find workers to cultivate their crops. This research initiative is designed to address this problem. In partnership with the Ontario Cooperative Association (OCA), the researchers will interview Ontario farmers to explore the full impact of these labour disruptions on their financial wellbeing, which will help the OCA’s members to communicate their needs to the federal and provincial. Additionally, the researchers will conduct an international search for strategies to better prepare the sector for future events which may similarly disrupt the agricultural labour supply.

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Faculty Supervisor:

Ryan Gibson

Student:

Partner:

Ontario Co-operative Association

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

Investigating Photocatalysis using Visible Light for inactivation of the virus SARS-CoV-2

Due to the SARS-CoV-2 pandemic, there is: 1) a worldwide shortage of Personal Protection Equipment (PPE) for frontline Health Care Professional; and 2) a demand for products which can reduce the risk of contracting SARS-CoV-2. We plan to assess the use of titanium-based particles to inactivate viruses and bacteria using visible light. The particles can be used in wide range of other applications including 1) air filtration systems such as ventilators, air purifiers; 2) water filtration systems such as water purifiers; and 3) surface cleaning systems.

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Faculty Supervisor:

Horacio Bach

Student:

Partner:

Photonclean

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Economic Impacts and Influence of COVID-19 on Syrian Refugee Settlement and Integration in Rural Canada

The research will highlight the COVID-19 related economic and social challenges faced by Syrian Refugees who have settled in Rural Canada. These new residents have settled, started to adjust to life in Canada, and have suddenly found themselves challenged by economic and social uncertainty brought about by COVID-19. The results of this research will help local governments and community organizations, in addition to anyone planning settlement and integration activities, to better understand how refugees are being impacted, their priorities, and what supports and services are critical to ensuring the health and economic well being and resilience of new refugees. The study will identify economic impacts associated with COVID-19 and will offer strategies and approaches aimed to assist these new residents.

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Faculty Supervisor:

Wayne Caldwell

Student:

Partner:

Gateway Centre of Excellence in Rural Health

Discipline:

Sociology

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

Developing a Remote Search Engine for Histopathology Scans

The wide-spread adoption of digital pathology has opened new horizons for histopathology. Artificial intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with different tasks. Whereas AI involving classification and segmentation methods have obvious benefits for image analysis, image search represents a fundamental shift in computational pathology. Image-based search for digitized pathology slides can provide pathologists with unprecedented access to the evidence embodied in already diagnosed and treated cases from the past. Huron Digital Pathology has developed and designed an image search system for histopathology images, called Yottixel. The proposed project is the enhancement of Yoittixel search algorithm by incorporating a novel approximate k-NN technique. The proposed method could enable up-to 10-fold speedup in searching and offer more efficient utilization of computational resources. These enhancements provide competitive advantage to Yottixel as a product, especially in hospitals and labs where computing infrastructure are not sufficient for hosting a sophisticated image search engine on-site. The ultimate goal of the research is to develop Yottixel into a robust and efficient search engine for digital histopathology archives. It has potential to be a screening tool to both speed up and improve the accuracy of cancer diagnoses by pathologists.

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Faculty Supervisor:

Hamid R Tizhoosh

Student:

Partner:

Huron Digital Pathology

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Improvement of the capabilities of an analytical instrument and itsapplications in polymer materials characterization and formulation.

Rheolution Inc. develops and commercializes a new scientific instrument dedicated to the mechanical
characterization of materials for research and development and quality control of industrial
polymers. The instrument, called RheoSpectrisTM, uses an innovative technology patented by the
University of Montreal Hospital. Compared to the competing old generation instruments, this unique
technology allows the measurement of material properties over an unexplored dynamic range (20
times wider), very rapidly (in less than 1 second) and without contact. This research proposal
constitutes a part of the strategy pursued by Rheolution Inc. to continuously develop its instrument
capabilities and has three major axes:

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Faculty Supervisor:

Khashayar Khorasani;Robert Owens;Marie-Claude Heuzey;Roland Maranzana

Student:

Partner:

Rheolution Inc

Discipline:

Physics

Sector:

Manufacturing

University:

Concordia University; École de technologie supérieure; École Polytechnique de Montréal; Université de Montréal

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.