Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Évaluation de l’efficacité des puits du champ captant en filtration sur berge : cas de la Ville de Sainte-Marthe-sur-le-Lac

Les ressources en eau souterraines globales font face à des pressions grandissantes sous l’effet combiné des changements climatiques, de l’évolution d’utilisation des sols et de la croissance démographique. Face à cette situation, la filtration sur berge émerge comme solution résiliente pour l’approvisionnement en eau. Cette technologie innovante consiste à implanter des puits de pompage de l’eau souterraine à proximité d’un plan d’eau de surface (rivière, lac, réservoir) afin de bénéficier d’une recharge augmentée et de la capacité naturelle de traitement des sols. Bien que prometteuse, la mise en oeuvre de la filtration sur berge comporte plusieurs défis techniques, comme le colmatage des puits. Ce processus peut mener à une diminution graduelle de l’efficacité des puits et entraîner des coûts d’opération et d’entretien significatifs. Le présent projet vise à développer un outil de diagnostic de l’efficacité des puits d’un champ captant en situation de filtration sur berge.

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Faculty Supervisor:

Janie Masse-Dufresne;Benoit Barbeau

Student:

Partner:

Ville de Sainte-Marthe-sur-le-Lac

Discipline:

Engineering

Sector:

Public administration

University:

École de technologie supérieure

Program:

Accelerate

An intelligent framework for scalable sign language synthesis

Over 5% people across the world are hard of hearing, and require assistance in navigating public transportation/airports. This project attempts at automated sign language synthesis through a virtual avatar for improving day-to-day life of people with hearing impairment. The industry partner has developed a preliminary framework to conduct animation on virtual avatars to play back sign language. However, the current data pipeline to create the animations is cumbersome, error prone, and not scalable. The proposed project will create an intelligent framework for accurate and scalable sign language animation on virtual avatars. The framework will address common sign language synthesis issues such as self-occlusion, motion blur by employing novel deep neural network-based approaches. A large dataset will be collected to train the model, utilizing state-of-the-art head-mounted displays (e.g. Apple Vision Pro) instead of expensive motion capture set up, so that sign language experts from across the world can contribute. The proposed project is expected to create core technology for the industry partner that can not only help them expand their operations across other cities and countries, but also benefit Canadians as a whole by making public transportations and airports more accessible.

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Faculty Supervisor:

Naimul Khan

Student:

Partner:

Deaf AI

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Optimization of microwave sensor used to monitor insect activities and density in stored grain

Detecting insects and estimating their densities in stored grain bins especially at their low densities is critical for insect control. Our group developed a microwave resonance sensor which can detect insects without grain. The application of the sensor in stored grain bins should be further studied. Therefore, the general goal of this proposed study is to improve the developed microwave sensor and make a cost-effective and affordable microwave device. The objectives of this study are to 1) investigate the signal patterns of each insect species under different temperatures and grain moisture contents (total five insect species); 2) classify the counted insects (five insect species) into species; 3) enable the system continuously to record the resonance frequency patterns over time and automatically count insects; and 4) optimize the parallel processing among multiple microwave sensors and main computer.

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Faculty Supervisor:

Fuji Jian;Can-Ming Hu

Student:

Partner:

AGI SureTrack LLC

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Manitoba

Program:

Accelerate

Vision Guided Robotics for Laser/MIG Welding Seam Tracking

Weight reduction has been one of major driving forces of research and innovation in automotive industries. Changing from the conventional Laser overlap welding to edge welding could save 50% of total weight of joint flanges of workpiece. Also, edge welding can significantly improve the welded joint mechanical properties. However, edge welding is challenging since the thin laser beam needs to be guided on the joint constantly within tight boundaries. For this reason, project of vision-guided robotics for laser/MIG welding seam tracking is proposed. The idea is to use a vision sensor to track the joint constantly and accordingly correct the laser welding TCP trajectory when any deviation is detected. The research mainly includes finding a suitable vision sensor, designing an algorithm of noise filtering and edge detection, examining approach of laser TCP trajectory correction, and implementation of system integration. Benefits of a vision-guided robotic laser edge welding system will be reduced weights and higher quality welds.

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Faculty Supervisor:

Fengfeng Xi

Student:

Partner:

Van-Rob Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Toronto Metropolitan University

Program:

Accelerate

Developing a tandem electrolysis-gas capture-regeneration prototype for capturing carbon emissions from buildings in municipal settings

Carbon capture, utilization and storage (CCUS) is an important ally in the fight against climate change that can facilitate the transition to a low-carbon economy. In partnership with the Civic Innovation Lab Society, this project will study the deployment of carbon capture technology in buildings in the City of Burnaby, with a focus on hard-to-decarbonize buildings and assets. This project, informed by the City of Burnaby’s 2030 climate reduction targets, will develop a process that continuously captures building emissions using electrolysis as a means to generate rapid in-situ alkalinity combined with a gas-liquid contactor that will use gas-capturing surfaces to efficiently dissolve CO2. Electrolytes and reagents will be regenerated to evolve pure CO2 for sequestration or use as an economically valuable product. This conceptual process will be validated by batch and continuous pilot demonstrations. If successful, the project will be a first-of-its-kind demonstration of a tangible framework for cities to adopt carbon capture in situ in buildings towards a decarbonized economy using earth-abundant, petrochemical-free materials.

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Faculty Supervisor:

Sami Khan

Student:

Partner:

Civic Innovation Lab

Discipline:

Engineering

Sector:

Education; Other services (except public administration)

University:

Simon Fraser University

Program:

Accelerate

Mise au point d’un bioréacteur par perfusion pour permettre de la culture cellulaire en 3D à l’échelle du centimètre

Un défi dans le domaine médical est de pouvoir réparer ou remplacer des organes non fonctionnels. Actuellement la solution à ce problème est la transplantation d’organe entre un donneur et un receveur. Cette solution est fonctionnelle mais pose certains problèmes comme le manque de donneurs et la compatibilité entre donneur/receveur. Une solution à ces problèmes serait la production d’organes sur mesure. Cette solution est encore en développement et de nombreux défis techniques nous éloignent de sa réalisation. Ce projet de recherche vise à résoudre certains défis techniques pour se rapprocher de cet objectif. L’organisme partenaire développe un bioréacteur à perfusion, pour alimenter des cellules dans une chambre de culture. Le rôle du stagiaire est de travailler sur les matériaux, les cellules et les conditions physiques à l’intérieur de cette chambre pour optimiser la survie des cellules et guider la conception d’une nouvelle version du bioréacteur plus adapté aux besoins des cellules.

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Faculty Supervisor:

Patrick Vermette

Student:

Partner:

Biotechnologies Régénix inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Extracting Document Structure from Text-Intensive Images, A Multi-Modal Approach

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

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Faculty Supervisor:

Yoshua Bengio

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

THE INNOVATIVE, MULTICENTRE, PATIENT-CENTRED APPROACH TO CLINICAL TRIALS IN SURGERY (IMPACTS) PROGRAM: CLinical Evaluation of Adults UNdergoing Elective Surgery Utilizing Intraoperative Incisional (CLEAN) Wound Irrigation: A Randomized Controlled Trial

A surgical site infection (SSI) is an infection that occurs after a surgical procedure. Despite a variety of infection prevention strategies, SSIs still occur often and impose a significant burden on patients and the healthcare system. Intraoperative irrigation (or washing of the surgical incision before closure) may reduce SSIs, but this is uncertain.
The Clinical Evaluation of Adults Undergoing Elective Surgery Utilizing Intraoperative Incisional Wound Irrigation (CLEAN Wound) trial aims to determine if incisional wound irrigation with an antiseptic or salt water solution can reduce SSIs within 30 days of surgery compared to no wound irrigation. 2,500 patients aged 18 years or older who are planned to undergo an abdominal or groin open or laparoscopic procedure will be randomly assigned to incisional wound irrigation with povidone-iodine solution; or incisional wound irrigation with saline; or no irrigation and followed for 30 days after surgery to assess the incidence of SSIs, with additional outcomes collected up to 90 days after surgery.
Even with significant advances in medicine over the past decades, there are still many fundamental issues in perioperative care that remain unclear due to lack of evidence. If this trial were to demonstrate that intraoperative wound irrigation reduces the incidence of SSI, these practice-changing findings could greatly benefit patients worldwide.

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Faculty Supervisor:

Sarvesh Logsetty

Student:

Partner:

Megan Delisle Medical Corporation

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Manitoba

Program:

Accelerate

UI-Copilot: developing large multimodal models for open-ended web navigation

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

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Faculty Supervisor:

Irina Rish

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Synthesis and characterization of silver titanium dioxide celluloseacetate membrane and their application in waste water treatment

The research will entail the creation of silver titanium dioxide and cellulose acetate membrane. Their applications in wastewater treatment will be assessed. The different methods of preparation will be compared and the most efficient method shall be determined. Tests will be conducted to simulate wastewater treatment. Expected outcomes include: creating silver titanium dioxide and cellulose acetate membrane in the most efficient method; using silver titanium dioxide and cellulose acetate membrane to treat wastewater; develop a new method for cleaning wastewater that can be carried out in a mass-scale. Hopefully, the research will trigger many innovative solutions to not just wastewater treatment but – in the bigger picture – global environmental problems. I hope to expand my current repertoire by increasing my research skills, honing my communication skills, and developing intercultural relationships that last a lifetime.

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Faculty Supervisor:

Jesse Zhu

Student:

Partner:

Tianjin University

Discipline:

Engineering

Sector:

Education

University:

Western University

Program:

Globalink Research Award

Advancing Automated Construction: Pose Estimation with Fiducial Markers

This project will develop a prototype technology to guide cranes to automatically place building elements using visual reference markers (QR codes). Working with Sparkbird, the R&D arm of WZMH, two interns will develop a software application to estimate the relative positions of the element to be placed with existing elements and the crane, allowing for this process to be conducted more quickly and more safely. The performance of this systemcompared with typical construction methods will also be compared to determine the return on investment for this equipment and provide valuable case studies to support marketing of the project. WZMH will benefit from this
project as it will allow them to overcome the technical hurdles required to bring this product to market.

View Full Project Description
Faculty Supervisor:

Ehsan Rezazadeh Azar

Student:

Partner:

WZMH Architects

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Microwave-based object detection for monitoring individual grain kernels

In agriculture, header losses, indicating the loss of grains at the combine harvester’s header, usually contribute the most of harvesting losses. While not entirely avoidable, their impact can be significantly reduced through careful monitoring of the harvesting process. In this proposed project, the intern aims to explore microwave-based
object detection technology as a solution to address the existing challenge. The primary goal of this initiative is to develop cost-effective proof-of-concept microwave monitoring system, accurately detecting individual grain kernels in specific agricultural areas and environments. The intern plans to enhance and adapt an ultra-high quality microwave resonator previously developed by their supervisor’s research group, achieving highly sensitive detection of detection of grain presence and movement. Simultaneously, the partner organization will provide valuable insights into monitoring and control systems for grain harvesting, ensuring that the intern’s research aligns closely with real-world application and could quantify losses occurring at the combine header.

View Full Project Description
Faculty Supervisor:

Can-Ming Hu

Student:

Partner:

JCA Technologies

Discipline:

Physics

Sector:

Agriculture and Food; Information and Communications Technology

University:

University of Manitoba

Program:

Accelerate

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