Cloud-based Multimodal Biometrics Framework for Road Safety
2018–2022
Biometrics
Computer Vision
Road Safety
Machine Learning
Overview
In partnership with Alcohol Countermeasure Systems, this project develops a novel cloud-based multimodal biometrics framework for continuous driver authentication and real-time drowsiness detection. By combining multiple physiological and behavioral signals, the system aims to significantly enhance road safety by identifying impaired or fatigued drivers before accidents occur.
Collaborators
- Alcohol Countermeasure Systems
Funding
- NSERC Collaborative Research and Development Grant (CRD)
