Learning Spatial and Temporal Attention for AI-driven Virtual Sports Trainers

Fitness apps are widespread, used by professionals and casual users alike. Existing apps only give examples, they don’t correct. The proposed research closes this feedback loop by using the video camera on mobile phones as an analysis tool to judge and correct the execution of common gym exercises. This is particularly important for weight lifting, […]

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SOTI SNAP Widget Enhancement

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. The research problem to be addressed is to solve customer […]

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SOTI SNAP Digital Signage

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. The goal of this project is to develop media scheduler widgets so that users can create playlists consisting of mixed media (videos, images, documents) and then deploy them at specific hours on certain […]

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Intelligent Card Detection for Automatic Documentation & e-Commerce

The goal of this project is to develop a Card Detection for Automatic Documentation solution that will be able to detect all features of a collectible card from a scanned image. Given a large number of design variations in cards, simple OCR cannot provide all available information. We aim to deliver an AI-driven solution deploying […]

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Ultrasound image analysis for identifying blood in an existing effusion in knee joint

Ultrasound, an inexpensive, accessible and portable device is gaining popularity in various disease diagnoses. In this project, we aim to analyze the ultrasound images generated for knee joint for diagnosing hemarthrosis (joint bleeding), a common clinical event in patients with severe hemophilia. We aim to analyze the images using machine learning and deep learning techniques. […]

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Detection and Characterization of the Synovium in Musculoskeletal Ultrasound

Arthritis is a chronic disease that severely decreases the quality of life and affects almost 4.6 million Canadians, costing $33 billion for the Canadian economy every year. Affected individuals experience pain and disability through an extended period of time. Rheumatoid arthritis (RA), a common form of arthritis, is an autoimmune disease characterized by the inflammation […]

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Detection for Smart Home Devices’ Environment with Neural Network

As smart home and artificial intelligence technologies are developing rapidly, smart home devices contribute to better living quality and safer spaces. These smart devices are intelligent agents. They receive a variety of signals through sensors placed in ecobee’s thermostats, light switches and other smart devices and controls the heating and cooling, lighting, as well as […]

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Analysis of Business-to-Consumer (B2C) Text Conversations collected during a pandemic and the adaptation of TxtSquad’s Technology Platform for Community-based organizations and small businesses

Txt Squad’s mission is to help medium-to-large companies sell and service their products through text messaging which results in saved time, improved customer experience and increased sales. A company can manage their customer service communications with TxtSquad using a team-based approach with rich cell phone text functionality that connects them directly to customers, bypassing emails […]

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Power network transfer capability (Phase II – data error detection)

Hydro-Québec is a public utility that generates and distributes electricity. Despite selling most of its electricity in Québec, its most lucrative sales are in the neighboring markets. To ensure the best possible quality of service, the transmission system must remain stable, but to maximize profits, the company also wants to increase its transmission capacity to […]

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Computer Vision R&D project – Autonomous Robot Assistant

The project’s main objective is to provide a robot with the capabilities to perform diverse helping tasks in the office, such as fetching objects, greeting colleagues, clients and newcomers. This will be a stimulating project involving tangible real-world application of multiple artificial intelligence approaches to robotics, including and focused on advanced computer vision algorithms, in […]

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Semi supervised object detection

Deep learning technology is a great tool to learn complex patterns and make prediction based on this learning. In order to get the most accurate predictions, one needs to train those neural networks on vast amount of labelled data. Labelling data is a time consuming and costly task. Using semi supervised learning, it should be […]

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Exploring the modern possibilities of AI Directors

Games have often used the concept of using an AI to direct gameplay in a way that would be more enjoyable by players in the game. This has most often been targeted at dynamically adjusting the difficulty of encounters so that players will be more successful when playing through a game. However, the general concept […]

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