Project information

  • Name: LeManchot-DC
  • Description: Drone-enabled Multi-modal system for inspection of industrial components
  • Project date: 2021
  • Repository: GitHub
  • Publication: IEEE Access
  • Organization: Laval University
  • Supervisor: Professor Xavier Maldague

Multi-Modal Platform for Inspection of Industrial Components

This study introduces a multi-modal acquisition and processing platform for inspecting industrial components using Unmanned Aerial Vehicles. The setup is designed to attach the sensors to the aerial platform and stabilize them against the drone's vibrations while operating. The platform includes thermal, visible, and stereo depth cameras and communicates directly with the flight controller to obtain the drone's inertial and GPS data. Also, embedded software is developed for calibration, acquisition, transmission, and fusion of multi-modal data. The data fusion method presented in this study generates RGBD&T data frames that contain the thermal, visible, and depth information of the observed scene and the drone's telemetry data. Later, the RGBD&T data is projected to the system coordinate to form a point cloud of the observed scene.


Parham Nooralishahi is a specialist in embedded and intelligent vision systems and currently is a Ph.D. student at Universite Laval working on developing drone-enabled techniques for the inspection of large and complex industrial components using multi-modal data processing. He is a researcher with a demonstrated history of working in the telecommunication industry and industrial inspection and in-depth expertise in robotics & drones, embedded systems, advanced computer vision and machine learning techniques. He has a Master’s degree in Computer Science (Artificial Intelligence). During his bachelor's degree, he was involved in designing and developing the controlling and monitoring systems for fixed-wing drone for search and rescue purposes. Also, during his Master's degree, he worked extensively on machine learning and computer vision techniques for robotic and soft computing applications.

Xavier P.V. Maldague received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from Universite Laval, Quebec City, Canada, in 1982, 1984, and 1989, respectively. He has been a Full Professor with the Department of Electrical and Computing Engineering, Universite Laval, Quebec City, Canada, since 1989, where he was the Head of the Department from 2003 to 2008 and 2018. He has trained over 50 graduate students (M.Sc. and Ph.D.) and has more than 300 publications. His research interests include infrared thermography, nondestructive evaluation (NDE) techniques, and vision/digital systems for industrial inspection. He is an Honorary Fellow of the Indian Society of Nondestructive Testing. He is also a Fellow of the Canadian Engineering Institute, the American Society of Nondestructive Testing, and the Alexander von Humbolt Foundation, Germany. He holds the Tier 1 Canada Research Chair in Infrared Vision. He has been the Chair of the Quantitative Infrared Thermography (QIRT) Council since 2004.


This research is supported by the Canada Research Chair in Multi-polar Infrared Vision (MiViM), the Natural Sciences, and Engineering Research Council (NSERC) of Canada through a discovery grant and by the "oN Duty!" NSERC Collaborative Research and Training Experience (CREATE) Program. Special thanks to TORNGATS company for their support in testing and manufacturing of the parts.