Computer Vision Activity Classification for Moderating Healthcare Interactions - ON-085

Preferred Disciplines: AI, computer vison, object recognition, computer science  at a Master, PhD, or Post-Doc level
Company: Spxtrm Health Inc. 
Project Length: 4 to 12 months
Desired start date: As soon as possible 
Location: Toronto, ON
No. of Positions: 1
Preferences: NA

About the Company: 

Spxtrm Health is co-founded by Dr. Jesse Slade Shantz and Jay Couse who have between them extensive healthcare entrepreneurial and patent development experience (81 patents filed to date).   

Project Description:

Spxtrm Health’s mission is dramtically reduce sexual misconduct in all patient/provider interactions. The High volume encrypted medical videos will include at least two people interacting in a medical service delivery setting.

Research Objectives:

  • The goal is to receive, QA, classify and lock away very private and confidential video interactions with zero human intervention. 

Methodology:

  • Unique aspects of the research methodology required and associated challenges will be shared with the shortlisted candiadtes. 

Expertise and Skills Needed:

    • AI
    • Compuer Vision
    • Object/Face Recognition
    • Scene recognition
    • Event  Detection
    • Edge detection
    • Motion Tracking
    • Predictive Analysis
    • Image Enhancement/Restoration
    • Audio Recognition
    • Emotional State Analysis
    • Video Encryption/CODEC
    • Cloud Based and Embedded Services
    • Computer Science

    For more info or to apply to this applied research position, please

    1. Check your eligibility and find more information about open projects.
    2. Complete this webform. You will be asked to upload your CV. Remember to indicate the title of the project(s) you are interested in and obtain your professor’s approval to proceed!
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