Intelligent Alert System Based on Contact Tracing and Health Monitoring

COVID-19, an infectious disease that has become a pandemic, causing dramatic strain on our healthcare system. Infected individuals generally report mild symptoms, while others suffer from severe symptoms requiring hospitalization. The proposed project aims to reduce infections by implementing an intelligent alert system that encompasses a smart Bluetooth wearable and an artificially intelligent (AI) platform. In the first phase we deployed a Bluetooth wearable with great success in mitigating outbreaks in various workplaces. The alert system works by recording short-distance Bluetooth signal interactions using a secure (i.e. encrypted) signal; protecting the privacy of individuals. In the second phase we will introduce a wearable with more sensors that records an individual’s vital signs and monitors their health and recovery. Using AI a transmission model will be developed that forecasts the risk of virus transmission and identifies individuals with potential underlying health risks.

Faculty Supervisor:

Patricia Nieva;William Melek

Student:

Partner:

Facedrive

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program: