Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Anomaly detection and action recognition for mobile cameras

In this project we want to develop a few AI algorithms for the security and public health monitoring applications that can be implemented on a mobile camera. This camera can be either mounted on the autonomous mobile robot or on the wearable devices that security guards are equipped with. This project is aiming to solve the following challenges: understanding the location of the camera based on the footage, anomaly detection, and action recognition. These goals can be achieved through a combination of deep learning, traditional computer vision, and machine learning methods. This understanding can help the security guard or mobile robot in performing the patrolling missions by increasing the response time and improving the consistency and quality of the reports. Currently, most of the research, and a large portion of the datasets are focused on the action recognition and anomaly detection of the stationary camera footages. In this research we want to specifically solve these problems for mobile camera footage.

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Superviseur du corps professoral :

Mo Chen

Étudiant :

Partenaire :

Tellext

Discipline :

Computer science

Secteur :

Manufacturing

Université :

Simon Fraser University

Programme :

Accelerate

Advanced Crowdsourced Market Research and Reporting Using Machine Learning and Data Mining Techniques

Chaordix is a company that develops crowdsourcing solutions for a variety of clients in industry, universities and governments. In early 2009, it launched a commercial managed services platform for crowdsourcing, called Chaordix, which has firmly established the company as a crowdsourcing pioneer. At this point in time Chaordix provides a global standard in crowdsourced market intelligence. It works with a number of clients around the world (Orange, IBM, World Wildlife Fund, P&G, University of Oxford, American Airlines, Genius Crowds, etc.).

Voir la description complète du projet
Superviseur du corps professoral :

Jon Rokne

Étudiant :

Partenaire :

Chaordix

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Calgary

Programme :

Accelerate

Real-time Bus Routing and Traffic Prediction Via Machine Learning-based Methods – Year Two

With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for bus system using a machine learning method. First we build and analysis a dataset comprises several individual bus trips that contains the arrival time, the bus identifier, bus direction and speed. In order to collect data on the state of traffic, we employ the information of deployed sensors, including metering stations, on certain strategic road segments allowing to distinguish cars from buses and to quantify the traffic. This set provides a real-time data flow of the sensors deployed on the network. Secondly, we extract most important features using Linear Discriminant Analysis to reduce the number of features in our data set. Finally, we propose a solution and compare with baseline machine learning algorithms to find the best routs for buses system with the objective of minimizing the passengers waiting time, the operating expense and capital costs, and carbon footprint cause by traffic jam.

Voir la description complète du projet
Superviseur du corps professoral :

Gabriela Nicolescu

Étudiant :

Partenaire :

BusPas Inc.

Discipline :

Computer science

Secteur :

Transportation (excluding aerospace); Information and Communications Technology

Université :

Polytechnique Montréal

Programme :

Elevate

Real-time Bus Routing and Traffic Prediction Via Machine Learning-based Methods

With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for bus system using a machine learning method. First we build and analysis a dataset comprises several individual bus trips that contains the arrival time, the bus identifier, bus direction and speed. In order to collect data on the state of traffic, we employ the information of deployed sensors, including metering stations, on certain strategic road segments allowing to distinguish cars from buses and to quantify the traffic. This set provides a real-time data flow of the sensors deployed on the network. Secondly, we extract most important features using Linear Discriminant Analysis to reduce the number of features in our data set. Finally, we propose a solution and compare with baseline machine learning algorithms to find the best routs for buses system with the objective of minimizing the passengers waiting time, the operating expense and capital costs, and carbon footprint cause by traffic jam.

Voir la description complète du projet
Superviseur du corps professoral :

Gabriela Nicolescu

Étudiant :

Partenaire :

BusPas Inc.

Discipline :

Computer science

Secteur :

Transportation (excluding aerospace); Information and Communications Technology

Université :

Polytechnique Montréal

Programme :

Elevate

Application de la technologie LIBS pour la caractérisation élémentaire et minéralogique de lithologies représentatives des cratons précambriens

L’industrie minérale a besoin de nouvelles méthodes et d’outils pour relever les défis que représente la diminution des réserves minérales et l’augmentation des coûts d’exploration et d’exploitation. La spectroscopie laser plasma (LIBS – Laser-Induced Breakdown Spectroscopy) est un outil géoanalytique émergent qui offre une suite unique d’avantages pour l’industrie minérale. La LIBS peut fournir une analyse compositionnelle rapide, in situ et une imagerie à haute résolution en laboratoire et sur le terrain. Des spectres des phases minérales pures de référence seront acquis avec la LIBS et serviront à la construction de la base de données. Un algorithme de reconnaissance spectral permettra d’identifier les minéraux dans les échantillons du projet Hammond Reef. La complémentarité de l’équipe de recherche combinera les expertises en minéralogie du domaine minier à celles de l’instrumentation unique de la LIBS développée par ELEMISSION. L’instrument CORIOSITY pourra être déployé dans le milieu minier que ce soit dans les étapes de cartographie, d’échantillonnage de la minéralisation dans les programmes d’exploration ou d’exploitation du minerai.

Voir la description complète du projet
Superviseur du corps professoral :

Marc Constantin

Étudiant :

Partenaire :

Groupe MISA;ELEMISSION

Discipline :

Earth science

Secteur :

Manufacturing; Mining; Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Ultra-high-quality optical coatings fabricated using plasma-assisted reactive magnetron sputtering

The proposed project is a collaboration between the Bradley research group at McMaster University and Intlvac, located in Halton Hills, ON, on the development of novel deposition methods and thin film materials for high performance optical coatings. Intlvac has a long history of developing state of the art deposition systems for coatings and thin films, in research and industrial applications. The Bradley group has extensive experience in thin film deposition and development of high optical quality materials for microphotonic devices. Intlvac is seeking to advance complex multilayer optical coatings technology and ultra-high-quality dielectric films, which will lead to economic growth and highly qualified personnel (HQP) training in this growing sector in Canada. The intern will work at both Intlvac and McMaster University to develop deposition techniques and applications for Intlvac and use the extensive optical and material characterization equipment available in the Bradley lab, the Centre for Emerging Device Technologies (CEDT) and Canadian Centre for Electron Microscopy (CCEM) at McMaster University.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Bradley;Peter Mascher

Étudiant :

Partenaire :

Intlvac

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

McMaster University

Programme :

Accelerate

TechImpact – Seyed Alireza Damghani

The company is currently focused on building a vibrant and growing Atlantic Canadianeconomy by using technology to unlock our region’s potential. COVID has impacted our day-to-day goals as an organization. As part of one of one of our projects, we want to create a full story around the barriers and opportunities to advancing digital transformation.

Voir la description complète du projet
Superviseur du corps professoral :

Dhirendra Shukla

Étudiant :

Partenaire :

TechImpact

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of New Brunswick

Programme :

Business Strategy Internship

Building Online Support for Parents of Youth and Adults with Autism Spectrum Disorder

This project aims to provide crucial and much needed knowledge in the area of “innovative social support resources” for parents of individuals with Autism Spectrum Disorder. To
accomplish this, an online parent peer support group, facilitated by experienced professionals, will be established. operated, and analyzed over a four month period, This expertly mediated network will serve as a forum through which parents can offer mutual support to one another via shared experience and knowledge in this domain. A variety of informative resources wilf also be provided on the network to enrich the environment of support and to stimulate further discussion. Successful or unsuccessful outcomes herein have the potential to provide a strong foundation through which social support resources of service providers in this milieu (including the Sinneave Family Foundation) could be meaningfully enhanced.

Voir la description complète du projet
Superviseur du corps professoral :

David Nicholas

Étudiant :

Partenaire :

Sinneave Family Foundation;NeuroDevNet

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Calgary

Programme :

Accelerate

Effective Leadership in a Pandemic

This project is designed to look at effective leadership in the midst of the COVID-19 pandemic. A survey will be distributed to investors in the Cape Breton Partnership for dispersal amongst their employees. The survey will be designed to assess the perception of effective leadership among workers on the island. This will allow for a better understanding of what workers on the island see as good leadership. This information will allow the Cape Breton Partnership, and their investors, insight into the types of qualities, training, and troubleshooting organizations need to exhibit in order to instill faith in their employees during times of crisis.

Voir la description complète du projet
Superviseur du corps professoral :

Jasmine Alam

Étudiant :

Partenaire :

Cape Breton Partnership

Discipline :

Business

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

Cape Breton University

Programme :

Business Strategy Internship

Gander and Area Chamber of Commerce

Develop a Shop Local Campaign for the Gander and Area Chamber of Commerce which will help small/medium businesses in the area.

Voir la description complète du projet
Superviseur du corps professoral :

Leroy Murphy

Étudiant :

Partenaire :

Gander and Area Chamber of Commerce

Discipline :

Business

Secteur :

Other services (except public administration)

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

Unsettled Media & Matt George Solutions – Gladstone Eric d’Souza

What’s most difficult at this time is how to find the signal in all of that noise. Businesses across the region have been forced to innovate. Some have been backed into a corner while others are only now seeing avenues to scale. What will be essential to every business, is finding what makes them different and acquiring the right talent to make up for lost revenue. Paradoxically, for a technology based start-up there is also clear opportunity. We’re looking to scale our operations in a major way and quickly become an industry leader in the region. After building relationships with your MBA program through the Business Immigrant Essentials entrepreneur development program, relationships with your professors and being a judge at your sales pitch events, I’m seeking a highly skilled MBA student with the motivation and drive necessary to scale an early stage technology company. Marketing, business development and a keen eye for relationship building will be critical. We’re looking for someone who is thrilled about the chance to grow an early stage business in the region.

Voir la description complète du projet
Superviseur du corps professoral :

Shelley Rinehart

Étudiant :

Partenaire :

Unsettled Media

Discipline :

Business

Secteur :

Information and cultural industries

Université :

University of New Brunswick

Programme :

Business Strategy Internship

Business Co-op Marketing Student

The project will be looking into the changing marketing environment for the cannabis industry not only in Canada but also in Europe where most of their cannabis is imported from other countries. The partner organization will receive more information about possible avenues to expand their business into and an in depth knowledge of information about different cannabis industries in other locations around the world. The current laws and possible future laws affecting the marketing and selling of cannabis products will also be researched to help provide G & M Family Farm with possible future opportunities or threats in the industry.

Voir la description complète du projet
Superviseur du corps professoral :

Heather Skanes

Étudiant :

Partenaire :

G & M Family Farm

Discipline :

Business

Secteur :

Agriculture; Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.