Illustration of road inspections using surface and drone robots.In our research, we propose a smart monitoring system for automated and real-time road condition inspection. The system includes
Three main components:
- Hardware devices/nodes: for data collection using drones or a designed node that can be mounted on vehicles.
- Software applications: for data preparation, and road condition inspection using hybrid algorithms based on digital signal processing, and Artificial Intelligence technologies.
- Webapp: is an interactive web interface for real-time data sharing, infrastructure monitoring, visualization, and management of inspection reports which can improve the maintenance process.
This project was led by Prof. Hossam A. Gabbar and Prof. Khalid Elgazzar and me as the postdoctoral researcher of the team in collaboration with Ministry of Transportation of Ontario .
For a demo or more details, please contact professor Hossam A. Gabbar (Hossam.Gaber@ontariotechu.ca )
Abderrazak Chahid
Data Scientist
My research interests include feature extraction, computer vision, real-time implementation of smart decision making systems.
Publications
HAIS: Highways Automated-Inspection System
We designed amnd implemened a datalogger to screen the road using camera and vibrations sensors. The collected data is used to train deep leargning models for defect road inspection model for automated defect inspection using a combination of image processing and deep learning models.
