Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Vision-Based Welding Control and Quality Assurance – Year two

Manual welding is a highly demanding task which requires extensive expertise for certain applications such as pipe welding. To facilitate the welding process, increase productivity, and decrease welder’s required level of skill, Novarc Technologies has designed and manufactured a collaborative Spool Welding Robot (SWR) equipped with a laser assistant weld path tracking. Our proposed research takes into account the fact that currently, welders rely on their eyes and the limited view of the weld pool through the helmet to control the welding process. This is a very arduous task which requires training and experience. Therefore, machine vision and AI can effectively take over the task of visual inspection and detection. Our goals in this industrial research are to use weld image for weld path tracking and torch distance control. We also aim to extract information about weld quality using computer vision and machine learning techniques.

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Faculty Supervisor:

Farrokh Sassani

Student:

Partner:

Novarc Technologies

Discipline:

Engineering

Sector:

Advanced Manufacturing; Technology; Automotive

University:

The University of British Columbia

Program:

Elevate

Vision-Based Welding Control and Quality Assurance

Manual welding is a highly demanding task which requires extensive expertise for certain applications such as pipe welding. To facilitate the welding process, increase productivity, and decrease welder’s required level of skill, Novarc Technologies has designed and manufactured a collaborative Spool Welding Robot (SWR) equipped with a laser assistant weld path tracking. Our proposed research takes into account the fact that currently, welders rely on their eyes and the limited view of the weld pool through the helmet to control the welding process. This is a very arduous task which requires training and experience. Therefore, machine vision and AI can effectively take over the task of visual inspection and detection. Our goals in this industrial research are to use weld image for weld path tracking and torch distance control. We also aim to extract information about weld quality using computer vision and machine learning techniques.

View Full Project Description
Faculty Supervisor:

Farrokh Sassani

Student:

Partner:

Novarc Technologies

Discipline:

Engineering

Sector:

Advanced Manufacturing; Technology; Automotive

University:

The University of British Columbia

Program:

Elevate

Effects of Geomechanical Heterogeneity on Wormhole Development during Cold Heavy Oil Production – Phase 1

Canada possesses vast resources of heavy oil, which is oil that is too thick to flow through porous sandstone reservoirs and into production wells at economic rates when conventional operating practices are used. Since the mid 1980’s, heavy oil operators have demonstrated their ability to increase heavy oil production rates by encouraging the creation of porous and permeable zones (“wormholes”) within their reservoirs by allowing sand grains to detach from the reservoir rock and flow into the well (along with the oil). However, in order to improve the efficiency of these operations, a better understanding of the processes controlling wormhole growth is required. The proposed project will result in the design of a laboratory testing system that will lead to a better understanding of wormholes in heavy oil reservoirs.

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Faculty Supervisor:

Chris Hawkes;Peter Yongan Gu

Student:

Partner:

Petroleum Technology Research Centre

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

Magnetic Field Modelling and Optimization in NMR Spectroscopy Device

Nuclear Magnetic Resonance Spectroscopy is the preeminent technique used to perform advanced quantification of chemical samples. Industries that rely on rigorous quality assurance can quickly take samples of their product and perform extremely detailed chemical analysis to guarantee reactions, and overall product quality. Currently, the spectroscopy devices used are incredibly large and expensive and do much more than fill the needs of the average consumer. A novel approach using a tabletop device has been proposed to fill the market however given the size and price constraints, it is extremely challenging to meet the requirements for magnetic field strength and uniformity. The computer modelling proposed in this project, will provide a detailed numerical representation of the magnet showing the deficiencies and strengths of current designs without having to build every piece and conduct full-scale experimentation.

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Faculty Supervisor:

Elise Fear

Student:

Partner:

Discipline:

Engineering

Sector:

University:

University of Calgary

Program:

Accelerate

Exploring the Impact of Housing-based Overdose Prevention Interventions on People who use Drugs in Vancouver – Year two

Canada is amid an opioid epidemic, with governments declaring overdose public health emergency. Drug-related overdose mortality in British Columbia reached a record high in 2017, with over 1400 deaths. In response, novel overdose prevention interventions (OPI) have been implemented, including: overdose prevention sites in which people can inject drugs under supervision; and, naloxone training and distribution (a medication that blocks the effects of opioids during an overdose). For the first time, these interventions are being implemented in emergency shelters and single room accommodations (SRA) housing, which provides shelter to more than 3000 people who use drugs (PWUD) in Vancouver’s Downtown Eastside. This study will explore social-, structural-, and physical-environmental influences on the implementation and effectiveness of overdose prevention interventions in SRA housing and emergency shelters. TO BE CONT’D

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Faculty Supervisor:

Thomas Kerr

Student:

Partner:

Pivot Legal Society

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Elevate

Exploring the Impact of Housing-based Overdose Prevention Interventions on People who use Drugs in Vancouver

Canada is amid an opioid epidemic, with regional and federal governments declaring opioid use, overdose, and related harms a public health emergency. Drug-related overdose mortality in British Columbia reached a record high in 2016, with over 900 deaths. In response, novel overdose prevention interventions (OPI) are now being implemented, including: overdose prevention sites in which people can inject drugs under supervision; and, naloxone training and distribution (a medication that blocks the effects of opioids during an overdose). For the first time, these interventions are being implemented in emergency shelters and single room accommodations (SRA) housing, which provides shelter to more than 3000 people who use drugs (PWUD) in Vancouver’s Downtown Eastside. This study will explore social-, structural-, and physical-environmental influences on the implementation and effectiveness of overdose prevention interventions in SRA housing and emergency shelters. TO BE CONT’D

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Faculty Supervisor:

Thomas Kerr

Student:

Partner:

Pivot Legal Society

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Elevate

Automatic Estimation of Walking Speed in Older Adults Using a Smartwatch

Walking speed is a fundamental indicator of health status in older adults that can be used for early detection of several chronic illnesses and smartwatches are promising tools for ambulatory measurement of walking speed. To address the problem of walking speed estimation in older adult using a smartwatch, arm swing motion during walking will be measured from older adults living in a long-term care facility. Mathematical models will be developed to automatically map arm swing motion to walking speed. The industry partner, Bigmotion Technologies is an ICT startup company which develops an Android-based medical grade wearable for elder care is an excellent candidate to bring the proposed technology into market. In a nutshell, the proposed research can significantly benefit the society of older adults by providing them with a cost-effectives solution for early detection and timely intervention of their neurodegenerative disorders and will improve their quality of life.

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Faculty Supervisor:

Edward J Park

Student:

Partner:

Bigmotion Technologies Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Harnessing the power of horizontal gene transfer for yeast strain development – Year two

Yeast are used on a massive scale in many industrial settings, such as production of food and beverages, nutrient supplements, pharmaceuticals, and others, totaling over $5 billion dollars in annual market value. Most yeasts currently used for industrial purposes are taken directly from nature and not optimized for the specific process requirements of industry. Currently, many tools for strain improvements require genetic modification of organisms, which does not allow for a non-GMO “clean” labeling. Yeast strain improvements can also be derived by classical methods – such as selective breeding and evolution – however the scope is limited to traits already present in the broader yeast species capable of mating. Yeasts also acquire new traits by horizontal gene transfer (HGT), which is the acquisition of genetic material by mechanisms other than reproduction. TO BE CONT’D

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Faculty Supervisor:

John Smit

Student:

Partner:

Renaissance BioScience Corporation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

Harnessing the power of horizontal gene transfer for yeast strain development

Yeast are used on a massive scale in many industrial settings, such as production of food and beverages, nutrient supplements, pharmaceuticals, and others, totaling over $5 billion dollars in annual market value. Most yeasts currently used for industrial purposes are taken directly from nature and not optimized for the specific process requirements of industry. Currently, many tools for strain improvements require genetic modification of organisms, which does not allow for a non-GMO “clean” labeling. Yeast strain improvements can also be derived by classical methods – such as selective breeding and evolution – however the scope is limited to traits already present in the broader yeast species capable of mating. Yeasts also acquire new traits by horizontal gene transfer (HGT), which is the acquisition of genetic material by mechanisms other than reproduction. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

John Smit

Student:

Partner:

Renaissance BioScience Corporation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

Non-contact vital sign detection of the newborn – Year two

Medtronic is a global leader in medical technology and biomedical engineering, working towards non-contact vital signs detection. This technology would be especially helpful in the case of high-risk or premature newborns. Continuous or at least frequent monitoring of newborns outside of clinical environments improves quality of life for parents and newborns recently discharged from the Neonatal Intensive Care Unit (NICU). Feasibility of such monitoring depends in part on the monitors being non-invasive and non-obtrusive. Although non-contact monitoring provides a variety of advantages compared to conventional contact constrained methods, there are engineering challenges to overcome to apply this technology to this unique population. As an academic partner, our research team, located onsite at BC Children’s Hospital, will develop and validate a video-based device for in-crib monitoring of heart rate and respiratory rate of high risk infants. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Guy Dumont

Student:

Partner:

Medtronic Canada

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Technology; Information and Communications Technology

University:

The University of British Columbia

Program:

Elevate

Non-contact vital sign detection of the newborn

Medtronic is a global leader in medical technology and biomedical engineering, working towards non-contact vital signs detection. This technology would be especially helpful in the case of high-risk or premature newborns. Continuous or at least frequent monitoring of newborns outside of clinical environments improves quality of life for parents and newborns recently discharged from the Neonatal Intensive Care Unit (NICU). Feasibility of such monitoring depends in part on the monitors being non-invasive and non-obtrusive. Although non-contact monitoring provides a variety of advantages compared to conventional contact constrained methods, there are engineering challenges to overcome to apply this technology to this unique population. As an academic partner, our research team, located onsite at BC Children’s Hospital, will develop and validate a video-based device for in-crib monitoring of heart rate and respiratory rate of high risk infants. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Guy Dumont

Student:

Partner:

Medtronic Canada

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Technology; Information and Communications Technology

University:

The University of British Columbia

Program:

Elevate

Évaluation de la viabilité du LIDAR dans la cartographie précise des dégradations de la route et transposition des données acquises dans une interface graphique.

La première partie de ce projet est d’évaluer la télédétection par laser ou LIDAR (« light detection and ranging ») en tant qu’outil pour cartographier les routes. La deuxième partie consiste à transposer les données acquises lors de la cartographie dans une interface graphique, telle que Google Earth, par exemple. À l’heure actuelle, les informations relatives à l’état des routes, telles que notre projet le propose, sont inexistantes. Par conséquent, il n’existe pas non plus de dispositif pour lire et interpréter les données recueillies, c’est donc ce que nous proposons ici.

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Faculty Supervisor:

Jean-Gabriel Assaf

Student:

Partner:

WSP Canada Inc

Discipline:

Engineering

Sector:

Construction; Information and Communications Technology

University:

École de technologie supérieure

Program:

Accelerate

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