logo
  • About Us
    • Who We Are
    • Mission, Diversity & Core Values
    • Meet the Team
    • Board of Directors
    • Scientific Advisory Committee
  • Services
    • Is SOSCIP for you?
    • Advanced Computing Platforms
    • SOSCIP Project Guide
    • Fee for Services Program
  • COVID 19
    • SOSCIP COVID-19 Response
    • COVID-19 Update: Operations
    • SOSCIP COVID-19 FAQ
  • Research Projects
  • Impact
    • Impact Stories
    • Platforms Newsletter
    • SOSCIP By the Numbers
  • News
  • Search

Research Projects

Focus Area
  • Business Analytics
    • Advanced ManufacturingAdvanced Manufacturing
    • Aerospace & DefenceAerospace & Defence
    • AgricultureAgriculture
    • AIAI
    • Business AnalyticsBusiness Analytics
    • CitiesCities
    • Clean TechClean Tech
    • COVID-19COVID-19
    • CybersecurityCybersecurity
    • Digital MediaDigital Media
    • EnergyEnergy
    • Environment & ClimateEnvironment & Climate
    • HealthHealth
    • ICTICT
    • MiningMining
    • Supply ChainSupply Chain
    • WaterWater
    • All
Platform(s)
  • All
    • Cloud
    • GPU
    • Parallel CPU
    • All
Academic Institution
  • All
    • Carleton University
    • McMaster University
    • Ontario Tech University
    • Queen's University
    • Ryerson University
    • Seneca College
    • University of Guelph
    • University of Ottawa
    • University of Toronto
    • University of Waterloo
    • University of Windsor
    • Western University
    • Wilfrid Laurier University
    • York University
    • All
AI-Powered Virtual Shopping Marketplace Platform for the Hair Integrations Industry
Collaborators: York University & Essence Luxe Couture
Advanced Manufacturing Business Analytics

AI-Powered Virtual Shopping Marketplace Platform for the Hair Integrations Industry

The average wig industry revenue over the last five years has a steady growth to $415.2 million per year. This industry caters to four distinct consumer groups: 1) individuals that purchase wigs for aesthetic purposes, 2) those that have lost their hair due to a medical condition or treatment, 3) those that follow their religious practice for specific hair restrictions, and 4) film/theatre directors who purchase wigs as part of character costumes. A wig costs from $600 to $1500 or more. In addition, with the COVID-19 outbreaks, online shopping inevitably became the leading trends.

However, shopping for a perfect wig online is not an easy task. We will build an AI-powered marketplace to solve the problem. In the AI-powered marketplace, customers get expert advice from AI as if customers are served by domain experts. AI will extract customers’ head shape, skin tone, and personality from the image and video, and make the best recommendations.

Industry Partner(s): Essence Luxe Couture

Academic Institution: York University

Academic Researcher: Shengyuan, (Michael) Chen

Platform: GPU

Focus Areas: Advanced Manufacturing, Business Analytics

Computer vision powered digital twin for tracking manual manufacturing processes
Collaborators: University of Windsor & IFIVEO CANADA INC.
Business Analytics

Computer vision powered digital twin for tracking manual manufacturing processes

Over 70% of tasks in manufacturing are still manual; therefore, over 75% of the variation in manufacturing comes from human beings. Human errors were the primary driver behind $22.1 billion in vehicle recalls in 2016. Currently, when plant operators want to gain an understanding of their manual processes, they send out their highly paid industrial engineers to run time studies. These studies produce highly biased and inaccurate data that provides minimal value to manufacturing teams. This project aims to develop a computer vision powered digital twin prototype that is ready to test on the client’s site, which helps manufacturing plant operators gain unprecedented visibility into their manual production operations, allowing them to optimize their worker efficiency while maximizing productivity. This will be done by automated data generation using computer vision, conversion of raw data into useable information, visualization of information using standard Business Intelligence methodologies and lastly, prediction of future plant performance based on historical information, as well as information about other market drivers.

Industry Partner(s): IFIVEO CANADA INC.

Academic Institution: University of Windsor

Academic Researcher: Afshin Rahimi

Platform: Cloud, GPU

Focus Areas: Business Analytics

Deep learning for PDF table extraction for electronic component supply chain digital twins
Collaborators: University of Ottawa & Lytica Inc.
Advanced Manufacturing AI Business Analytics Supply Chain

Deep learning for PDF table extraction for electronic component supply chain digital twins

Industry Partner(s): Lytica Inc.

Academic Institution: University of Ottawa

Academic Researcher: Burak Kantarci

Platform: Cloud, GPU

Focus Areas: Advanced Manufacturing, AI, Business Analytics, Supply Chain

Trade promotion analytics using AI/ML techniques for forecasting, optimization, clustering and simulation
Collaborators: University of Ottawa & Unilever Canada Inc. and Larus Technologies
Business Analytics

Trade promotion analytics using AI/ML techniques for forecasting, optimization, clustering and simulation

Coming soon.

Industry Partner(s): Unilever Canada Inc. , Larus Technologies

Academic Institution: University of Ottawa

Academic Researcher: Emil Petriu

Platform: Cloud, GPU, Parallel CPU

Focus Areas: Business Analytics

Need more information?

SOSCIP Consortium, MaRS West Tower
661 University Avenue, Suite 1140
Toronto, ON M5G 1M1

info@soscip.org

Follow Us

Subscribe to Platforms

By subscribing, you are consenting to receiving news, events and updates related to advanced computing in Ontario from SOSCIP.