L07 : Development of a Computer Vision System for Quantitative Wound Healing Monitoring


Students Rameen Khan
School HDSB - Elsie Macgill Secondary School - Milton
Level Intermediate 9/10 - Grade 10
Group Group 9 - Health Sciences II
Abstract This project develops and validates a smartphone-based computer vision system to quantitatively track wound healing and assess infection risk. It provides accessible, ongoing monitoring that supports early detection of delayed healing while prioritizing measurable accuracy. The system also emphasizes explainable AI outputs, helping users and healthcare providers understand the results and make informed decisions for better wound care management.