Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
IoT device identification using continuous machine learning models
In this project, we will design and develop an IoT device auto-detection model and deploy it on a Raspberry Pi. The model will follow a continuous machine-learning approach and will be trained using an IoT dataset developed in our lab. The Raspberry Pi will function as a Wi-Fi router, allowing IoT devices to connect to it. Upon connection, the system will automatically identify each device—including its vendor and model—in real time.
Faculty Supervisor:
Carol Fung
Student:
Partner:
Universidade Federal do Rio Grande do Sul
Discipline:
Computer science
Sector:
Technology; Information and Communications Technology (ICT); Cyber Security
University:
Concordia University
Program:
Globalink Research Award
Current openings
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find Projects
International
Load More
International
Load More
Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.