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
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98
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619
NB
1192
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Projects by Category

Automatic Trailer Generation

By combining the information contained in the visual, audio and text content of videos, it is possible to extract complex information about their content. It’s then possible to analyse a query from a search engine to find the video segments that best matches this query. During this project, the intern will be using state-of-the-art deep learning models to extract the best possible information from multi-source data and participate in the integration of these models in the Grokvideo search engine application. Increasing the quality of the information and the accuracy of the search engine will directly benefit the company as extracting the best possible information from video content is the core value of Grokvideo.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

GROK VIDEO Inc

Discipline:

Computer science

Sector:

Information and Communications Technology; Entertainment and Media

University:

Université de Montréal

Program:

Accelerate

Design and Validation of a New Textile Technology for Monitoring Body Position and Respiration Signal

Many seniors are spending their time lying in bed or sitting in recumbent chairs because of chronic conditions that limit their mobility. It is crucial to assure that their position is changed regularly to prevent bedsores. Therefore, a monitoring system is required to not only remind the caregivers or family members to reposition the patients regularly but also to have a minimum interference with the patients’ normal lifestyles. The main goal of this study is to propose a smart bed sheet for capturing the body motions and positions as well as physiological data such as respiration rate in real time.

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Faculty Supervisor:

Atena Roshan Fekr;Geoffrey Fernie

Student:

Partner:

Noxware Ltd

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Technology; Artificial Intelligence

University:

University of Toronto

Program:

Accelerate

Contrôle actif de la transmission acoustique par une double cloison

Moderco Inc. produit des cloisons amovibles en vitrage double qui doivent respecter des exigences d’isolation acoustique, principalement vis-à-vis des bruits de conversation. De façon générale, la double cloison (deux panneaux séparés par une cavité d’air) est un principe de construction très répandu, qui garantit une perte par transmission acoustique élevée en même temps qu’une structure légère. Par contre, les résonances acoustiques et vibro-acoustiques de la cavité d’air couplée aux deux panneaux dégradent l’isolation acoustique du système aux basses fréquences. Des traitements passifs sont difficilement envisageables à ces fréquences. Le projet évaluera la faisabilité d’un système de contrôle actif acoustique pour améliorer la perte par transmission d’une cloison en double vitrage aux basses fréquences. Le principe envisagé est de minimiser la pression acoustique dans la cavité à l’aide de haut-parleurs et de microphones positionnés dans cette cavité ou en périphérie de celle-ci. Le projet visera à concevoir et fabriquer un prototype de double vitrage actif qui sera testé pour divers types de signaux de voix humaine dans la chambre de transmission du Groupe d’Acoustique de l’Université de Sherbrooke.

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Faculty Supervisor:

Alain Berry

Student:

Partner:

Moderco inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

Animal Recognition From Natural Scene Images

With the development of imaging technology, camera trapping becomes one of the best ways to record the presence and activities of large mammals in a given area. The approach to monitoring the animals can assist people in the community with decision making about preserving biodiversity. In the past, experts analyzed such images manually, which required domain knowledge and took significant time. In this project, we aim to develop an animal recognition system that can help analyze natural scene images which record the presence of large mammals, such as elk, deer, bear, etc., and automatically categorize those animals. Such a system can help experts save significant time and better understand natural scene images and the activities of animals around the certain area and in a reasonable time. This work will support ecologists to make a better decision on protecting and preserving the biodiversity in the province Alberta.

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Faculty Supervisor:

Osmar Zaiane

Student:

Partner:

Alberta Innovates - Technology Futures (Vegreville)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Audio Frequency Calibration of Hydrophones Using a Cylindrical Wave Guide

Scientists use hydrophones (underwater microphones) to listen and record to ocean sounds from marine wildlife as well as ship noise. To produce trusted results, hydrophones must be calibrated using tanks. This is done by checking the hydrophone measurements against reference sounds. Scientists can easily calibrate hydrophones for sounds that are very high pitch and very low pitch. To calibrate sounds that are in-between, a very large tank is needed. The project proposes an alternative method of calibration of these mid-range sounds which uses a long pipe instead of a tank. This method would be more practical for researchers and manufacturers to use to calibrate hydrophones.

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Faculty Supervisor:

David Barclay

Student:

Partner:

Ocean Sonics Ltd

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

An effective CO2 capture technology for offshore petroleum facilities

The current project aims to design and optimize the cryogenic CO2 capture process in terms of CO2 removal efficiency and energy requirement. The serious concern of global warming due to increasing CO2 emission has urged policymakers to employ various CO2 capture methods. Note that among different CO2 capture methods, the cryogenic capture is a favorable option since it uses less energy and no chemicals in the CO2 removal process. Cryogenic CO2 capture suffers from high equipment costs and energy consumption. Thus, an energy/exergy assessment of cryogenic CO2 capture can effectively reduce energy consumption and environmental impacts. Thus, toward the optimized operation, the partner organization will be benefit from energy-efficient operation as well as achieving a high CO2 recovery percentage.

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Faculty Supervisor:

Sohrab Zendehboudi

Student:

Partner:

M.A. Procense Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Optimization of Sustainable Mining by Drilling

Narrow-vein steeply dipping deposits are challenging to mine economically because they are poorly oriented for surface mining, and underground mining normally requires development of extensive underground infrastructure before mining the vein. Memorial University is collaborating with Novamera for the development of innovative narrow-vein mining technology called Sustainable Mining by Drilling (SMD). The SMD technology is based on the concept of mining by drilling, where the full ore vein will be excavated through a sequence of directional drilling and large diameter borings steered using integrated subsurface imaging methods. All the ore is recovered as drill cuttings, which eliminates the need to use explosives (and associates emissions) to fragment the ore and the need to crush the ore as a first stage of mineral processing, and since the ore is recovered using surface operations. All these factors give the SMD technology the potential to mine with at lower cost with improved safety than conventional practices and with better sustainability as measured by energy consumed and emissions generated per tonne of ore mined. The proposed research will optimize key SMD components in preparation for commercialization of the technology.

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Faculty Supervisor:

Stephen Butt

Student:

Partner:

Novamera Inc.

Discipline:

Engineering

Sector:

Mining

University:

Memorial University of Newfoundland

Program:

Accelerate

HIV infection and fertility among adolescent girls in sub-Saharan Africa

Adolescent girls in sub-Saharan Africa are the population group with the highest level of unmet sexual and reproductive health needs worldwide. Early onset of sexual activity is associated with a double burden of HIV infection and pregnancy. However, so far both problems have been analyzed as independent events. My objective is to examine fertility patterns among HIV-positive and negative adolescent girls in sub-Saharan Africa and study the mechanisms underlying adolescent childbearing and/or adolescent HIV infection. For doing so, I will use household- and individual-level data from the Demographic and Health Surveys collected in 32 sub-Saharan African countries. This project seeks to demonstrate that early pregnancy and HIV infection are two concurrent risks faced by adolescents in sub-Saharan Africa when they initiate sexual activity. Failure to address the dual problems of high HIV prevalence and high adolescent fertility could have negative short-term and long-term consequences for adolescent girls and their future children.

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Faculty Supervisor:

Sophia Chae

Student:

Partner:

Université Catholique de Louvain

Discipline:

Sociology

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Antireflective nano-patterned surface treatment and glass flow modeling for large-scale glass applications

Based at Montréal, Canada, Edgehog specializes in anti-reflection and other light management solutions for displays and solar panel covers. Their nanostructuring technology aims to enable full display readability from all angles in direct sunlight and reduced power consumption through lowered screen brightness as well as boosting solar panel efficiency by increased sunlight absorbance. As their current technology proofs the concept at lab scale, further research is needed to find scalable fabrication processes for successful technology transfer to industry level and large-scale applications such as solar panel covers. During the proposed project, two academic interns will build on prior build preliminar technology developed under a Mitacs Accelerate grant to contribute to development, and process prediction by numerical modeling, of a scalable fabrication processes that is compatible with state-of-the-art devices and large-scale solar panels. Results of the study will be transferred to Edgehog supporting this Canadian company in successfully entering this market internationally at large scale. This will help position a Canadian company at the forefront of this key market in the electronics and solar industries, leading to the creation of new knowledge on high-precision advanced manufacturing technologies and the creation of new jobs, and thereby provide a benefit to Canada overall.

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Faculty Supervisor:

Lucas Hof;Ricardo Zednik

Student:

Partner:

Edgehog Advanced Technologies Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Effective dynamic stiffness of piping systems under dynamic excitations

Dynamic loading has a significant effect of the structural response of piping systems. Pipelines transmission and distribution systems consist of various components such as pipes, the underlying supporting structures, pipe supports, and fluids conveyed through pipelines. Interactions effects of all these components are not well addressed in the literature. Inaccurate predictions of the response of piping system under dynamic excitation may cause structural, functional, and operational failures which have a significant influence on the society, environment, and economy. This research seeks to develop practical approaches to accurately predict the structural response of piping systems under dynamic loading. At the end of this research, the partner organization will be provided with practical techniques to properly analyze piping systems and choose suitable pipe supports under dynamic excitation.

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Faculty Supervisor:

Samer Adeeb;Magdi Mohareb

Student:

Partner:

TC Energy

Discipline:

Engineering

Sector:

Utilities

University:

University of Alberta

Program:

Accelerate

Identification of Optimum Digestate Management Option for an Anaerobic Digester in the Fraser Valley

Anaerobic digestion ias a process that converts the organic waste into methane-enriched biogas and fertilizer by combined action of a mixed community of microorganisms in the absence of oxygen. Fraser Vallet Biogas Ltd. operates BC’s first anaerobic digester that utilizes on-farm and off-farm waste to generate biogas (Methane) and digestate. Crrently the digestate produced is field-applied locally without being dewatered. The volume of the digestate produced daily is very large compared to the amount handled which constrains the volume of waste input that the anaerobic digester is able to process due to the fixed storage capacity. Therefore, Fraser Valley Biogas Ltd. would like to explore various alternative digestate treatment ideas for a better digestate management. In this project, the intern will carry out an extensive literature review which will cover various farm-based digester operations and digestate management practices described in the scientific literature, reports or online sources. Using the data collected, a cost/benefit analysis will be performed. The project deliverable, a final report, is expected to present a fairly clear idea about the direction that Fraser Valley Biogas Ltd. is recommended to take to improve its digestate management.

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Faculty Supervisor:

Cigdem Eskicioglu

Student:

Partner:

Fraser Valley Biogas Inc

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services; Mining

University:

University of British Columbia - Okanagan

Program:

Accelerate

The Effect of Droplet Size on Automotive Paint Colour

Spray painting in the automotive manufacturing industry is an extremely difficult technical challenge. Approximately 25% of cars coming off the assembly line must be reworked or scrapped due to a poor paint job. Previous research has shown that the droplet size distribution of the paint being applied to the car is important for the final coating finish and colour. In this project, experiments using an automotive paint spray robot will be done to collect droplet size information and paint coating quality and colour data. The correlation between the droplet size distribution and coating quality will be investigated and the results will be used to develop a model to predict when a spray will produce a poor coating based on the droplet size information. This project will further validate Mazlite’s technology in optimizing the automotive paint spray process and accelerate the commercialization of their product line.

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Faculty Supervisor:

Sanjeev Chandra

Student:

Partner:

Mazlite Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Toronto

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.