Intact Corporation financière est le plus important fournisseur d’assurances multirisques au Canada en primes annuelles. Intact vise à offrir un service de réclamations accéléré à ses clients. Au moment d’ouvrir une réclamation, Intact demande d’ores et déjà à ses clients de fournir des images du véhicule qui permettent d’identifier préalablement la condition générale du véhicule. […]

In this project, we would like to study the problem of object manipulation in a real-world scenario. We assume three major settings in the environment – the object is non-rigid, oniy offline dataset is available and the input is high-dimensional images which are hard to be handled by classical control models. Recent successes in deep […]

The project revolves around reading and understanding students solution to various mathematical problems. We wish to analyse the work done by students and the solution to these problems and provide math checking capabilities to various types of problems. Furthermore, this project looks to construct a virtual tutor that can analyse students work and provide feedback […]

Dynamic pricing models create price by assessing total cost, demand, and timing to customize the price to the moment. The models enable both buyers and sellers to settle a price that is very custom to their specific needs. Bison Transport Inc. has a network model that monitors profit and a pricing engine that monitors margin. […]

Multi-object tracking has many uses cases in autonomous driving, robotics and security. Tracking is important as it allows us reason about the dynamic world and make actionable decisions based-off predicted object trajectories. As an example, in autonomous driving, not only the location of objects is important but also their predicted future trajectories are needed in […]

Surgical Safety Technologies aims to provide healthcare professionals with the opportunity to perform research in areas of surgical performance and education and implement evidence-based solutions to improve patient safety. Search on video content would an ideal functionality to assist with healthcare professionals’ research. This project uses computer vision model to rank the relevance of the […]

Veyetals online smartphone-based application that can be downloaded through the Apple Store or the Google Play Store. It uses Remote Photoplethysmography (rPPG) technique to extract Blood Volume Pulse (BVP) signal from a face video captured using smart phone camera, and then applies multiple computational algorithms to measure heart rate, heart rate variability, oxygen saturation, and […]

Physics-based simulation has been receiving a great deal of attention as it is of interest for various branches such as the film industry, computer game development, and biomedical research, etc. Especially for the professions that are interested in modeling creatures and producing correlated visual effects such as 3D animation, tissue simulation becomes a principled approach […]

Conversational experiences are becoming more prevalent in software applications – from Alexa and Google assistant to Siri and Cortana – though the quality degrades when the automated dialogue agent must refer to or recall specific information. These systems are often forgetful, nonsensical, contradictory, repetitive, or hallucinatory, which impacts the user experience. This project aims to […]

Many retailers are interested in forecasting demand for the products they sell. Deloitte has used machine learning methods to tackle this problem in the past. However, this requires the creation of hand-crafted features based on product sales data, which is a costly and time-intensive process. Using alternative models to perform this task would remove the […]

The primary objective of this project is to implement a product taxonomy model that can reliably categorize receipt item labels to generate more personalized financial insights. Sensibill leverages unstructured receipt data to support personal and business finance management. Reliable categorization of receipt line items into specific merchant categories not only reduces the time for manual […]

With collaboration between the Council of the Great Lakes Region, Pollution Probe and Lambton College, the proposed project is focused on continuing the development of an artificial intelligence visualization tool to enable users to select growth constraints and visualize resulting changes to watershed health, predict how watersheds will evolve over time and prescribe actions to […]