Projets novateurs réalisés

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

30156 projets achevés

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5059
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812
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673
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842
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8957
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9368
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96
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579
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1120
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Projets par catégorie

Mushroom Harvesting System

Automatic harvesting of mushroom produce is a promising opportunity for mushroom growers to increase their revenues. This increased revenue will be obtained through savings in human labour as well as the expected increase in yield and quality due to the consistency of automated solutions compared to manual ones. Automated harvesting solutions do already exist for many other crops such as apple, lime and tomatoes. However, the development of an automated harvesting solution for mushroom is much more challenging in which a commercial system still does not exist. The current project aims at developing an intelligent computer-based Decision Support System (DSS) that will make decisions on which mushroom to pick and when, based on vision data captured in real time. The partner organization would eventually benefit from this project by having a reliable Decision Support System for automated mushroom harvesting that will lead to a higher mushroom yield than what could be obtained by an average manual harvester.

Voir la description complète du projet
Superviseur du corps professoral :

Rozita Dara;Deborah Stacey;David Calvert

Étudiant :

Partenaire :

Vineland Research and Innovation Centre

Discipline :

Computer science

Secteur :

Agriculture and Food; Technology; Energy and Utilities

Université :

University of Guelph

Programme :

Accelerate

Rail Bulb Replacement

The scope of this project is to develop a modern Railway signaling system using LED technology to replace the old system employing incandescent bulb. We propose a novel design and control to avoid using low-lifetime components as the existing commercial systems. The current and voltage monitoring functionalities are added to detect exactly which LED that fault occurs, it helps to maintain system and easily adjust light intensity efficiently. As a result, the designed system will have high efficiency, high input electrical quality and high reliability to ensure continuous operation without disturbance. This research is a gold key for GE Lighting to remain the leader in their railway signaling market.

Voir la description complète du projet
Superviseur du corps professoral :

Handy Fortin Blanchette

Étudiant :

Partenaire :

GE Lighting Solutions

Discipline :

Engineering

Secteur :

Manufacturing

Université :

École de technologie supérieure

Programme :

Accelerate

Smart Learning and Course Management System

This is a research and development (R&D) project. The primary objective is to develop a Smart Learning and Course Management System with a pilot demonstration of an entrepreneurship development course. The target audience for the course is students interested in learning the fundamentals of running a startup company. The secondary objective is to document and inform the development and learning analytics through design-based research.

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Superviseur du corps professoral :

Stephen Petrina;Phil Winne

Étudiant :

Partenaire :

Istuary Innovation Labs Inc (Vancouver, BC);Luminix Consulting Ltd;D&J Education Consulting

Discipline :

Sociology

Secteur :

Education; Professional, scientific and technical services

Université :

Simon Fraser University; The University of British Columbia

Programme :

Accelerate

Novel 3-D User Interfaces for improved situation awareness and mobile robot control

In an alien or possibly hostile environment, the situation awareness of a remote robot operator will be limited. Map information may not be known beforehand. The site may also be in a dynamic state where changes occur in the surrounding in any moment. The main objective of this project is to develop novel technologies to increase situation awareness of remote robot operators and their ability to intuitively interact with the robots for more efficient operations. It will involve development of a new real time 3-D reconstruction strategy using low-cost hardware, the use of commercially available stereoscopic display and motion sensing device for robot-control user interface, as well as an objective evaluation on the development. MDA expects this project will develop proof-of-concept user interfaces based on novel ideas and technologies and test them in several simple scenarios. In the future some of these concepts may be adopted in prototypes and products.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Wigdor

Étudiant :

Partenaire :

Discipline :

Computer science

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Development of transparent materials to be used as screen for glazed windows

Projection on optically transparent screens is a rapidly growing technology that opens a wide field of practical applications like glazed windows. For example, navigating information can be displayed on car windshields and aircraft cockpit windows, eyeglasses can become monitor screens for work or entertainment and even glazing glass windows can be used as a projection screen. Nowadays, a variety of media for transparent screens have been developed for specific applications and some of them are already commercialized with their own pros and cons. Nevertheless, the main hurdle for each transparent medium used a screen is the complex tailoring and even lack of their transparency, hindering the visibility of commercialized products behind a shop window for instance.
The proposed project aims at developing a new medium for transparent projection screens. This new material must be produced by a simple method, low cost and scalable to large sizes that are not currently available in the market. The project will benefit from both the expertise in screen projection of the industrial partner Qube-4D Ventures Inc., and in materials engineering of the Canada’s Excellence Research Chair in Photonic Innovations at Laval University under the leadership of Prof. Younes Messaddeq.

Voir la description complète du projet
Superviseur du corps professoral :

Younès Messaddeq

Étudiant :

Partenaire :

Qube 4D Ventures Inc

Discipline :

Physics

Secteur :

Manufacturing

Université :

Université Laval

Programme :

Accelerate

Système d’aide à la décision pour la gestion de portefeuille de projets basée sur un modèle de sémantique des jeux utilisant XPath

Meto est une plateforme d’intelligence distribuée qui exploite le plein potentiel du Cloud et des processus collaboratifs entre agents humains dans le but d’améliorer la prise de décision dans des situations minées par le risque et l’incertitude. Pour ce faire, il est nécessaire de mettre à la disposition des décideurs un ensemble pertinent d’information obtenu par l’analyse de données massives récoltées sur différents canaux. Les experts concernés – appartenant au monde des affaires – doivent formuler des requêtes informatiques précises et bien formées pour la recherche d’information qui sont difficilement à la portée des non-informaticiens. L’objectif du projet est de créer un générateur de requêtes informatiques permettant d’interpréter dans un langage machine les besoins d’un utilisateur non informaticien en matière de données.

Voir la description complète du projet
Superviseur du corps professoral :

Roger Villemaire

Étudiant :

Partenaire :

Metix Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

Accelerate

Méthodologies, processus et outils pour l’implantation d’un processus de gestion de l’innovation dans une entreprise manufacturière traditionnelle

La grappe de stages est une continuation d’un premier stage dans le cadre d’un contexte de création d’un nouveau département d’innovation dans une entreprise manufacturière. Il s’agit de déterminer les facteurs des entreprises manufacturières de type PME débutant en innovation comme étant déterminants pour l’instauration d’outils, processus et méthodologies de la gestion de l’innovation et du développement de produits. Des outils et processus pour définir et modifier les stratégies de l’entreprise déjà en place devront être créés afin de rendre l’entreprise sous étude plus compétitive dans de nouveaux marchés et ainsi accélérer sa croissance et son développement. Les projets de la grappe permettront de mieux comprendre comment faire la coordination interdépartementale dans le cadre de la gestion de l’innovation ainsi que comment implanter divers outils, processus et méthodologies de gestion d’innovation dans une entreprise manufacturière traditionnelle québécoise et ainsi la rendre beaucoup plus apte à faire rapidement les bonnes évaluations d’opportunités et ainsi de devenir innovante face à une concurrence internationale beaucoup plus importante.

Voir la description complète du projet
Superviseur du corps professoral :

Isabelle Deschamps

Étudiant :

Partenaire :

Velan Inc

Discipline :

Business

Secteur :

Manufacturing

Université :

École Polytechnique de Montréal

Programme :

Accelerate

Merchant resolution of financial transaction records

Most people find it difficult to monitor and manage all of their financial data, due to the time and effort required to track their spending. With the advent of e-finance, instead of barter or cash-based transactions, most transaction data utilizes debit or credit cards. The resulting electronic “paper-trail” opens the possibility of helping individuals to manage their financial data. The goal of our project is to help people manage and monitor their financial history in a more user-friendly way, and make financial recommendations based on their own history. Given a large database of merchants and stores, the intern’s responsibility is to match the transactions with corresponding merchant accurately.

Voir la description complète du projet
Superviseur du corps professoral :

Raquel Urtasun

Étudiant :

Partenaire :

SmartFinance LLC

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

Employee Turnover Prediction

When an individual enters a company, the interaction between the company and individual is expected to increase. If it does not increase to an appropriate extent, the individual leaves the company based on his/her past experience. To avoid huge losses and widespread consequences, a company has no alternative but to decrease its employee turnover rate and discuss the true causes of employee turnover. PwC is constantly seeking to better understand how to engage and support its employees. Specifically, PwC is seeking to understand why people leave, when they do, and how to decrease the employee turnover rate. The success of the project could improve employee’s satisfaction and decrease instability. Moreover, it is also the potential new offering to PwC clients, such as commercial banks that suffering from high turnover rate.

Voir la description complète du projet
Superviseur du corps professoral :

Anthony Bonner

Étudiant :

Partenaire :

PricewaterhouseCoopers (Toronto, ON)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Formulation of Cationic Peptides by Hyperbranched Polyglycerols for the Treatment of Chronic Rhinosinusitis

Chronic rhinosinusitis is a common condition in which the cavities in the nasal channel become inflamed and swollen. This condition interferes with drainage and causes mucus to build up. Delivery of the positively charged proteins containing short chains locally to the nasal area can be used for the treatment of this problem. This proposal suggests synthesis and characterization of negatively charged polymeric systems with specific modifications to bind to these proteins and stabilize them. This study is followed by investigation of the capability of the polymeric carrier to bind to the proteins and quantification of the bound amount. It will further continue by biological assessment of the designed system on the disease condition.

Voir la description complète du projet
Superviseur du corps professoral :

Donald Brooks

Étudiant :

Partenaire :

Center for Drug Research and Development

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Optical liquid fingerprinting for dynamic process monitoring in nanofabrication

Color-based sensing enables sensors to be utilized in more places and by more people, particularly those who do not have access to or required training for sophisticated and expensive sensing technologies. This cost-effective sensing process is based on the change in an indicator’s color in response to the stimulation that is being sensed. This project seeks a novel
application for a color-based sensing method (Optical Liquid Fingerprinting technology), previously developed by the project’s partner organization. The technology can extract information about any liquid by generating distinct colorful patterns. For the first time, the information obtained through this technology will be used for real-time monitoring of common processes in fabrication of nanoscale semiconductor devices in which liquids are involved. The outcomes of this project can open new markets for the technology and also increase the yield in common nanofabrication processes used by academic researchers.

Voir la description complète du projet
Superviseur du corps professoral :

Xihua Wang

Étudiant :

Partenaire :

Validere Technologies Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Alberta

Programme :

Accelerate

Visual Analytics for Interactive Exploration and Monitoring of Consumer Health Data at Molecular You Corporation (MYCO)

The business of Molecular You Inc. (MYCO) is to provide a comprehensive Personalized Medicine bioinformatic and health monitoring program for disease prevention, detection, and treatment that integrates “omics“ data with behavioral, and environmental data for customers and their caregivers. This project is part of a larger initiative that “seeks to innovate in the way people think about health”. In this research program we will look at the design and evaluation of visual analysis tools to support the exploration, monitoring and communication of complex, large scale, diverse data from the Molecular You initiative to consumers. The success of MYCO will depend in part on the effectiveness of their human – information interface to complex health data. This project will setup the basis of a process of understanding how health care consumers and caregivers can understand complex health data, propose interventions, and assess the results through the use of interactive visualization environments. Considering the initiative is a rather new endeavor, the project represents both a challenge and a unique opportunity for implementing and evaluating human centered design methods.

Voir la description complète du projet
Superviseur du corps professoral :

Brian Fisher

Étudiant :

Partenaire :

Molecular You Corporation

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

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