The Inspection node and flowchart of the HAIS project.Abstract
A smart city is a trending concept describing a new generation of cities operated intelligently with minimal human intervention. It promotes energy sustainability, minimal environmental impact, and better governance. In transportation, the remote highway infrastructure monitoring will enhance the driver’s safety, continuously report road conditions, and identify potential hazardous incidents such as accidents, floods, or snow storms. In addition, it facilitates the integration of future cuttingedge technologies such as self-driving vehicles. This paper presents a general introduction to a smart monitoring system for automated real-time road condition inspection. The proposed solution includes hardware devices/nodes and software applications for data processing, road condition inspection using hybrid algorithms based on digital signal processing, and artificial intelligence technologies. The proposed system has 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 )
This work was supported by the Ministry of Transportation (MTO).
Abderrazak Chahid
Data Scientist
My research interests include feature extraction, computer vision, real-time implementation of smart decision making systems.