Innovative Projects Realized

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

31915 Completed Projects

3006
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5256
BC
878
MB
703
NL
913
SK
9488
ON
9950
QC
98
PE
629
NB
1215
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Projects by Category

Development of Load Case Model for the Design of Butt & Top Grapples

The sponsor company, Tigercat specializes in the design and manufacturing of premium quality forestry equipment and specialized off-road industrial equipment. This four months internship project will provide the company a set of load cases validated on a new design, optimized detail 3D and 2D models, selected material lists, and FEA simulation results of a tracked material handling machine attachment called a “Butt and Top Grapple”. These deliverables will help the company reduce costs, increase product performance, and be competitive in the forestry equipment industry. This project will develop a load case model that can be used to evaluate stresses on key components on any grapple design to determine possible design changes to improve the grapple’s durability and performance by reducing its weight and incorporating a stop mechanism into the grapple design. In order to achieve these goals, computer-aided design and finite element analysis methodologies and software will be used.

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Faculty Supervisor:

Robert Fleisig

Student:

Partner:

Tigercat Industries

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Self-supervised Noise Modeling for Smartphone Cameras

Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a series of operations performed on-board the camera as the raw image recorded by the sensor is processed. It plays a crucial role in ensuring that the colors in the final image that is output to the user are correctly represented. In recent years, AI algorithms for AWB have demonstrated superior performance over conventional methods. However, existing AI solutions are too computationally expensive for use on smartphones and mobile cameras. The goal of this project is to devise an AI algorithm that is light-weight and capable of running in real time on-device. This project will help Samsung Electronics Canada develop an improved and more practical auto white balance AI algorithm applicable to modern smartphone camera images.

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Faculty Supervisor:

Marcus Brubaker

Student:

Partner:

Samsung Electronics Canada

Discipline:

Computer science

Sector:

Manufacturing

University:

York University

Program:

Accelerate

Design d’antennes microstrip 24 GHz

L’objectif du projet est de créer une antenne imprimée (microstrip) sur un substrat à déterminer. Cette antenne devra fonctionner sur une bande de fréquences précise (24.000 GHz à 24.500 GHz) et devra aussi éviter autant que possible de réféchir les signaux vers le générateur afin d’être efficace. Afin de bien répondre aux besoins de l’entreprise, l’antenne devra avoir un gain d’au moins 27dBi, c’est-àdire que son rayonnement doit se concentrer presque uniquement dans une seule direction. À plus long terme, une procédure permettant de créer rapidement des antennes microstrip ayant un gain différent est également à developper. Pour l’entreprise, un tel projet lui permettrait de développer une expertise dans la fabrication d’antennes micro-ondes et ferait en sorte qu’elle pourrait diminuer énormément le coût des produits offerts (diminution des coûts de quelques dizaines de milliers de dollars à environ 500$).

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Faculty Supervisor:

Frédéric Domingue

Student:

Partner:

Infinition Inc

Discipline:

Engineering

Sector:

Information and Communications Technology; Technology

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Analyse technico-économique des coproduits de la transformation des biomasses marines pour les secteurs bioalimentaire et agroalimentaire.

L’objectif général de la recherche est d’élaborer un modèle d’analyse technico-économique portant sur la valorisation des coproduits issus de la transformation du crabe et du homard en produits à valeur ajoutée. La recherche est mandatée par Merinov et touche quatre transformateurs de crabe et de homard de la Gaspésie et leurs clients potentiels, issus du milieu de l’alimentation humaine et animale. Des entrevues semi-dirigées avec les quatre transformateurs ciblés dans cette recherche seront réalisées de manière à préciser les paramètres de marché du modèle. Actuellement, les transformateurs déboursent des sommes considérables afin de disposer de la matière résiduelle. Ce projet vient donc solutionner cette problématique, en plus de permettre aux transformateurs d’effectuer des gains environnementaux et économiques importants.

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Faculty Supervisor:

Josée Laflamme

Student:

Partner:

Merinov

Discipline:

Business

Sector:

Agriculture; Professional, scientific and technical services

University:

Université du Québec à Rimouski

Program:

Accelerate

Utilization of biooils and plastic pyrolysis liquid residues as raw materials in metallurgical processes

The metallurgical industry is currently facing challenges to reduce the green gas emission of fossil fuels. Biochar, driven from woody biomass, are the renewable promising material as a green reducing agent. However, the low bulk density, mechanical strength and the high reactivity of biochar are the main barriers limiting their efficient utilization and transportation at a reasonable cost. Densification is an efficient way to overcome the inferior properties of biochar. This research investigates the factors influencing the densification process of biocarbon briquettes to bring their quality close to the specifications of the metallurgical processes. Furthermore, upgrading the of the plastic pyrolysis residue to a valuable binder for aluminum industry will reduce the economical and the environmental costs of disposing this by-product.

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Faculty Supervisor:

Houshang Alamdari

Student:

Partner:

Pyrovac Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Université Laval

Program:

Accelerate

Enhanced Neural Network Design and Optimization

Deep learning and artificial intelligence (AI) technologies are transforming industry by way of automation, connectivity and availability of information technologies. However, AI remains incredibly challenging and costly to implement, often requiring massive data centers and cloud computing to operate. This research seeks to develop optimization methods to create faster, smaller and more energy-efficient AI algorithms that can operate on edge devices, such as battery-powered cars, sensors and phones. The work will have a major impact on the accessibility and environmental footprint of AI as a new and fast-growing technology.

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Faculty Supervisor:

Quentin Cappart

Student:

Partner:

Deeplite Inc.

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Polytechnique Montréal

Program:

Accelerate

Evaluating Interprofessional Palliative Care Education initiatives for health care professionals in Canada

Palliative care is an approach that aims to reduce suffering and improve the quality of life for people who are living with life-limiting illness. Almost all of the nearly 300,000 people who die in Canada each year could benefit from palliative care. There is a solid economic and social case for investing in palliative care across Canada. However, the implementation of palliative care is inconsistent, fragmented, and healthcare professionals often lack skills and confidence in providing this care.9 One of the priorities of the Framework on Palliative Care in Canada (2018) is to enhance palliative care education and training for health care providers. Pallium Canada’s innovative training programs contribute to this priority. Pallium Canada values ongoing quality improvement, research and development, stewardship of resources and accountability, and sees evaluation-derived data and insights as critical to inform its work. The evaluation studies proposed will enable Pallium Canada to ensure the organization is addressing Canada’s needs for palliative care efficiently and effectively, optimizing the substantial public investments already made in Canada’s healthcare systems. Improvements in the provision of palliative care across the healthcare systems could lead to sustained cost savings of tens of millions of TOBECONT’.

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Faculty Supervisor:

Christopher Klinger;Lynn Meadows

Student:

Partner:

Pallium Canada

Discipline:

Life Sciences

Sector:

Education

University:

McMaster University

Program:

Accelerate

Identifying Logistical, Emotional and Digital Needs During the Estate Settlement Process

When a person passes away, family members have to navigate a host of administrative tasks to settle their estate. Closing out accounts, cancelling subscriptions, filing paperwork, and figuring out how to handle an ever-increasing online presence, bereaved individuals can become overwhelmed by this work. This research project aims to understand how people currently navigate the administrative tasks around death, the supports and obstacles in carrying out these tasks, and the opportunities for making this job easier for everyone. To meet these goals, our research will involve interviews and surveys with people who have gone through this process first-hand and service-providers who have helped people through this process (for instance, funeral directors and executor assistants). To leverage their unique expertise and experiences, the project will also bring these groups together with researchers to co-design a service that would address their emotional, technological, and informational needs as they carry out the administrative work that is a part of death.

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Faculty Supervisor:

Michel Desjardins

Student:

Partner:

Cadence Final Document Services Ltd

Discipline:

Sociology

Sector:

Administrative and support, waste management and remediation services; Information and cultural industries

University:

University of Saskatchewan

Program:

Accelerate

Valorization of Ground Hemp Hurd Residuals

Hemp processing produces two products, the baste fibres, which make up the outer layers, has been used for hundreds of years for it’s sturdy long fibres in textiles, rope manufacturing and much more, however the inner components, or Hurd, have yet to find much widespread use beyond paper manufacturing and as animal bedding. This project seeks to investigate uses for hemp hurd fibres provided by Tekle Technical Services Inc(TTS). Primarily, research will investigate production of crystalline nano-cellulose(CNC) as an end product for these fines. The end-goal is creation of a novel industrial process that may include production of CNC, but will primarily build a strong business case for creation of a pilot-scale plant by TTS that will utilize residuals from their hemp processing to produce high-margin, innovative cellulose products.

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Faculty Supervisor:

Orlando Rojas

Student:

Partner:

Tekle Technical Services Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Designing a Full Duplex Transceiver to Improve the Detection of Low Cost Resonators Used in Electronic Article Surveillance

Electronic Article Surveillance systems, which are used to help retailers detect shoplifted items, suffer from two major problems. First, the systems often fail to detect EAS tags/labels that are present within the ‘detection zone’ of the gate. Secondly, false detection indications when EAS tags/label are not present within the ‘detection zone’ of the gate. As a result of the unreliability, many of these systems are powered off by the retailer and only provide a visual deterrent to shoplifters. From some samples that INEO has conducted at a number of shopping centers, we estimate that as many as half of these systems are not powered on. The goal of this project is to improve EAS
detection technology to encourage more widespread use of these systems which will benefit retailers and consumers by reducing costs due to shoplifting.

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Faculty Supervisor:

Thomas Johnson

Student:

Partner:

INEO Solutions Inc

Discipline:

Engineering

Sector:

Information and Communications Technology

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Scalable Chatbot Framework for Multi Layered Chatbots and Memory.

The general objective of this research project is to develop a new natural and empathic chatbot by integrating the transformer and intent-based systems. The goal is to implement a system for expressive 3D interactive characters that can move between the structure of an intent-based system with specific Question and Answer pairs and the more open-ended smart system of the Transformer. Most currently existing chatbot systems are limited in their abilities to engage in open-ended and natural dialogues with human users. As such, this research project will investigate the possibility of expanding the knowledge base of existing chatbots to answer questions outside of the original knowledge base.

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Faculty Supervisor:

Steve DiPaola

Student:

Partner:

Reimagine AI Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Blackbox optimization applied to Design of Experiments

The pharmaceutical industry relies on a process known as batch manufacturing to supply their goods to the public. Each batch takes time to ends, involves many parameters and is very expensive. Quality tests are performed at the end of each batch. The calibration of parameters is a crucial task and Design of Experiment (DoE) is the traditionally approach used. DoE is a predefined sequence of tests on parameters. Each test consists to run a batch with a given set of values of parameters and to measure the performance (quality tests) of that batch. DoE compiles obtained results and gives its best values of parameters. This project aims to explore an adaptive approach of DoE that consists to dynamically exploit the information from previous tests to determine the new set of values of parameters for the next test, in order to converge to a better set of values of parameters than a classical DoE approach, possibly with a less number of tests.

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Faculty Supervisor:

Charles Audet

Student:

Partner:

Sanofi

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology; Manufacturing; Other services (except public administration); Professional, scientific and technical services; Wholesale trade

University:

Polytechnique 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.