Innovations Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Gated and RGB Fusion for Robust Perception

Robust perception in all weather conditions is a critical requirement for autonomous vehicles. This project proposes fusing gated and conventional RGB camera images for robust scenes encoding, depth estimation and trajectory prediction. Conventional approaches using lidar and RGB camera fail to perform robustly in rain, fog and snow. By extending existing computer vision algorithms to Gated-RGB camera pair the fusion algorithms developed will utilize features that are robust in one sensor modality but not the other. The proposed projects will allow Algolux to evaluate different fusion algorithms and augment the existing captured dataset with simulated data that are useful for algorithm development and evaluation.

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Faculty Supervisor:

Michael Langer

Student:

Yiran Mao;Amanpreet Walia

Partner:

Algolux

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Synthesizing the State of Practice of On-Demand Transit in Canada

This project proposes a survey directed at transit agencies in Canada that have operated, operating, or planning to operate flexible transit, with special emphasis placed on app-based on-demand transit services. Personal interviews will be conducted with key personnel at the transit agencies, likely using phone communication. The results of the survey along with a more comprehensive review of industry reports will be summarized to highlight the key practices of flexible transit in Canada. With the increased interest in technology and automated operations, this study will also approach technology and software companies that usually provide the software for scheduling and dynamic routing application to support flexible transportation services.

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Faculty Supervisor:

Amer Shalaby

Student:

Willem Klumpenhouwer

Partner:

Ontario Society of Professional Engineers

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Enhancing exercise adherence in people with persistent musculoskeletal pain using a behaviour change approach

Persistent pain is pain that is prolonged beyond normal healing time, usually defined as three months. Approximately one in five Canadians suffer from persistent pain conditions such as low back pain, osteoarthritis and fibromyalgia. These conditions account for $43-60 billion in healthcare costs. Prescribed exercise has been shown to decrease pain while increasing function and quality of life, however over half of patients with persistent pain do not adhere to the exercises they have been prescribed. There is a lack of research targeting exercise behaviours in a persistent pain population, and a shortage of multidisciplinary care available in Canada to treat these conditions. The proposed project builds upon proof-of-concept research established in the applicant’s PhD and will take a two-phase approach to test, refine and implement a novel empirically informed, theoretically driven intervention. The intervention employs group-based exercise and behavioural techniques to manage persistent pain and enhance adherence to exercise. This program will facilitate the Reh-Fit Centre’s mission to provide accessible programming underpinned by empirical evidence to support individuals with chronic and persistent conditions. Further, this research aims to alleviate the strain on the healthcare system by providing innovative, multidisciplinary care.

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Faculty Supervisor:

Shaelyn Strachan;Sandra Webber

Student:

Laura Meade

Partner:

Reh-Fit Centre

Discipline:

Kinesiology

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Elevate

A Mobile Dual-Arm Robot for Autonomous Cooking Operation

The food services industry is ripe for a technological revolution. Challenging labor conditions such as rising minimum wage, high employee turnover, and scarcity of skills among other things makes it increasingly difficult for restaurants to be profitable and scale their business effectively. Delivering a quality product in a consistent manner with today’s low-pay low-skilled workforce is difficult at best; and the hallmark of success in the food services industry is quality and consistency. Furthermore, there are sanitation risks in the interaction of workers and the food they prepare. In light of these challenges, the introduction of advanced automation solutions to restaurant kitchens and the food services industry is an attractive option to increase productivity and safety as well as improve efficiency. Automation of kitchens using robotics technology will offer better way to reduce waste, increase accuracy and efficiency, and provide customers with food that is prepared just-in-time with real-time feedback during the cooking process. With the introduction of this automation concept, everything measured precisely to the correct ingredients with cooking times and temperatures running on software programs that determine the amount of time it will take right down to the second each and every time.

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Faculty Supervisor:

William Melek;Baris Fidan

Student:

Cem Cetin

Partner:

Gastronomous Inc

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Automotive detection of urban features from multi-scale imagery using Deep Learning

Mobility is an essential component of routine life for everyone. Walking and biking are two major transportation modes that help residents meet most or all of their daily needs. However, several mobility-related challenges occur as a result of weak maintenance of urban infrastructure such as sidewalks, bike lanes, and trails, which can decrease the safety of residents and may lead them to opt for vehicle-based transportation instead. One of the main reasons behind poor infrastructure maintenance is inefficiency of traditional inspection methods. We are proposing a Machine Learning method that uses multiple observation sources including street-level and UAV images to be employed in lieu of traditional inspection methods.

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Faculty Supervisor:

Claude Duguay

Student:

Amin Gharebaghi

Partner:

GeoMate

Discipline:

Environmental sciences

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Next generation cannabinoids for chronic pain and opioid withdrawal syndrome – An alternative to opioid treatments and stemming the opioid crisis in Canada

The recent legalization of cannabis in Canada offers a unique opportunity to conduct fundamental research without the bureaucracy issues faced in other countries. The current state of cannabinoid-based therapies have focused their use in the treatment of cancer, pain, inflammation and opioid addiction, and suffer from unwanted side effects and lack of efficacy. Furthermore, the current opioid epidemic and the lack of better pain management strategies highlight the urgency for long-term solutions for chronic pain management. Our focus is on the development of novel cannabinoid lead compounds that selectively target the cannabinoid and related receptors (i.e. CB1, CB2, GPR55, opioid- and serotonin receptors), without suffering from the poor pharmacokinetic and pharmacodynamic properties.

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Faculty Supervisor:

Loren J. Martin

Student:

Marcia Roy;Chulmin Cho

Partner:

Dalriada Drug Discovery

Discipline:

Psychology

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

High temperature wear of sand cast and die cast Al and Mg alloys for continuously variable transmission (CVT) and other applications

The project will determine sliding wear behaviour of lightweight Al and Mg alloys for the continuously variable transmission (CVT) bore application and other engine applications. High temperature lubricated wear tests that simulate the actual operating conditions of CVT bore will be carried out. In addition, tests will be conducted at room temperature and under the dry conditions to benchmark wear resistances of different cast alloys and determine the wear mechanisms. Tests will be conducted using a block-on-ring tribometer at the University of Windsor’s Tribology of Materials Research Centre. The project will simultaneously determine the roles of hardness, roughness, porosity as well as tribolayer formation on the sliding wear behaviour of the alloys by conducting worn surface and subsurface characterizations using analytical microscopy and spectroscopy. The results will be presented in the form of wear mechanism maps, which will be used to develop new wear resistant lightweight alloys by GM.

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Faculty Supervisor:

Ahmet Alpas

Student:

Mingxiao Yang;Xi Zhang;Guanhong Sun

Partner:

General Motors

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of Windsor

Program:

The Impact of Emerging Technologies on Defense Policy

How technology relates to Canadian national defence policy, strategy, and planning is not well understood. To date, much of the research on emerging technology in the military focuses on concerns over ethics, privacy, human rights, and governance, largely overshadowing equally important research on the way technology intersects with military strategy and tactics, defence recruitment and training, and alliance politics and national policy. Our project is inherently forward looking: its overarching objective is to think creatively about emerging technology and to link developments therein to Canadian defence.

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Faculty Supervisor:

Alex Wilner;Stephanie Carvin

Student:

Hannah Diegel;Sean Murphy;Kevin Budning

Partner:

Collins Aerospace

Discipline:

Other

Sector:

Other

University:

Carleton University

Program:

Accelerate

Maximizing Oil Recovery from the Hibernia Oil Field

The project focuses on screening and testing state-of-art Enhanced Oil Recovery techniques. It is carried out through both experiment study in core scale and simulation research in field scale. The new knowledge that will be accrued will be the culmination of a truly collaborative approach. First and foremost, Canada and Newfoundland and Labrador will gain a holistic perspective recovering ultimate oil from its offshore east coast reserves.

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Faculty Supervisor:

Lesley Anne James

Student:

Mahsa Aghaie Moghanjoghi;Saeed Jafari Daghlian Sofla;Saeid Eskandari

Partner:

Hibernia Management and Development Company

Discipline:

Engineering

Sector:

Mining and quarrying

University:

Memorial University of Newfoundland

Program:

Accelerate

Alberta Soil Carbon Quantification Project

There is a growing movement within the agricultural community to use a nature-based approach to soil management, emphasizing its natural ability to sequester atmospheric carbon. Soil carbon sequestration not only improves soil health and fertility, but benefits the climate (reduced GHG emissions) and watersheds (facilitates water infiltration, mitigating floods, and purification). The objectives of this study are to: i) effectively measure and monitor soil carbon sequestration to develop a protocol for a carbon offset programme; and ii) investigate the chemical, biological and physical processes within a soil that influence carbon sequestration and the effect of agricultural management practices on those processes. The proposed project will quantify the benefits of soil carbon sequestration for overall soil health, fertility and resilience. The tools and data will help functional agricultural practices to improve yields, carbon sequestration, food security, bioremediation, and drought and flood mitigation.

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Faculty Supervisor:

Monireh Faramarzi

Student:

Catherine Maria Hepp

Partner:

Food Water Wellness Foundation

Discipline:

Geography / Geology / Earth science

Sector:

Agriculture

University:

University of Alberta

Program:

3D Model-Integrated Automatic Change Detection

Earth is being imaged continuously using high-resolution (pixel-size <=1m) optical satellite, airborne, or even UAV sensors. However, due to technical issues, these abundant sources of images can not be efficiently combined and used to automatically monitor the urban area which is the most dynamic environment on the earth. The partner organization of this proposal has a patented technology to generate a high-fidelity 3D model of the earth; the academic participant of this project also has a patented technology to detect changes in urban environments utilizing the aforementioned different sources of images. This project aims to combine the two technologies and generate a breakthrough methodology to monitor urban areas with measurable accuracy automatically. The outcome of this project will be a novel software package that can be used for different applications including disaster management, defence, and urban management.

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Faculty Supervisor:

Shabnam Jabari

Student:

Ghasem Abdi

Partner:

3D Planeta Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of New Brunswick

Program:

Developing a framework of best practices for multi-sector collaboration fostering integration in child and youth mental health systems.

This research will focus on developing a framework of effective practices for collaboration among child and youth mental health service providers in different sectors including health, social services, and education. This multi-component project will: 1) explore the types and intensity of connections between child and youth mental health organizations in these sectors; 2) examine how these connections match with consumer needs; 3) examine how policies for child and youth mental health promote and/or hinder collaboration among organizations; and 4) identify key features of effective collaboration between organizations across the different sectors. The results of this research will be used by Peel Children’s Centre in their role as the Lead Agency for child and youth mental health service planning in the Peel service area. The results will also contribute to knowledge about how organizations can improve collaborations to deliver mental health care.
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Faculty Supervisor:

Maria Liegghio

Student:

Renee Sloos

Partner:

Peel Children's Centre

Discipline:

Social work

Sector:

Health care and social assistance

University:

York University

Program:

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