Introduction to Team N° 04 :
Overall Objectives :
The proposal to create a team within the ‘Vision and Communication Systems (VSC)’ laboratory at the University of Biskra is in response to the need for a space and an organization for research and training in automation. This initiative aims to meet, on one hand, the development needs of vision-based control systems in various domains, primarily in agriculture, energy, and production in the Biskra region, and on the other hand, to fulfill the ambitions of faculty researchers and students in the Electrical Engineering department working on research axes related to automation, specifically adaptive robust control of energy production systems, production systems, and visual servoing.
Scientific Foundations :
Diagnostic of Defects
Due to the significant and costly consequences that defects can cause on industrial processes, there is a pronounced interest in defect detection and localization. Indeed, research in this field has only gained importance worldwide. The proposed research work addresses the problem of detecting and locating defects in robotic systems in factories to limit technological dependence in the event of failures.
Visual Control of Aerodynamic Systems
Currently, aerodynamic systems, more specifically mini-helicopters and drones equipped with vision systems and other sensors, have found numerous agricultural applications such as crop monitoring, early detection of diseases or weeds without the need for sampling or human inspection. In this context, the team aims to make a scientific contribution to the visual control of these systems and adapt their use in the oases of Biskra Province due to the reduction of specialized personnel for climbing date palms. Another planned application for these systems is the localization of fires, whether in urban areas or in large oasis regions.
As a complement to the research envisaged in energy production, the team also plans to investigate the use of aerodynamic systems equipped with thermal cameras for the rapid diagnosis and localization of defects in solar panels with minimal risk.
