Data visualization and social distancing
This project aims to reconstruct the customer shopping journey and identify the busiest zones of the store by analyzing point-of-sales data and camera-tracking trajectories (anonymized and privacy-preserving). Such valuable information will help retailers re-organize the store planogram to satisfy desired requirements, such as social distancing.
Undergraduate students from the Department of Electrical and Computer Engineering:
Maxime Cardinal
Alexis Franche
Alexa Normandin
Oliver James Murphy
Student co-supervisors: Derek Nowrouzezahrai and Maxime Cohen
Developing an augmented reality app for cellphones that could be used in convenience stores
The goal of the project is to design and implement an IOS App (Apple) with Augmented Reality technology for the Couche-Tard store at McGill University. This will allow commodity product recognition using computer vision and display of associated product information. The project will involve development of software, programs to do 3D object scanning, creation of an object database, and object detection, as well as design of the user interface. The various parts of the system will be integrated in a single package.
Undergraduate students from the Department of Electrical and Computer Engineering:
Chen Liu
Yuelin Liu
Xinran Li
Xiangyu Li
Student supervisor: James Clark
Visual Product Search
The goal of this project is to design a mobile app that leverages modern deep learning-based computer vision image classification algorithms. The app will allow customers to identify a product -- given an image of the item taken from the customer's smartphone, while in the store -- and provide a summary of the product (i.e., nutritional information, price, etc.) Additionally, customized features will be included to enhance the user’s shopping experience. Some examples of possible features include: product recommendations, budgeting tools, and dietary restriction verification.
Undergraduate students from the Department of Electrical and Computer Engineering:
Brad McBain
Sami Hilal
Ragheed Qasmieh
Brendan Marks
Student co-supervisors: Derek Nowrouzezahrai and Maxime Cohen
