Laboratory of Applied Computer Vision
The Laboratory of Applied Computer Vision focuses on the research and development of advanced artificial intelligence methods for image data analysis, with a strong emphasis on practical applications. We develop systems for classification, segmentation, detection, and object tracking that enable real-time data analysis—from edge computing to autonomous decision-making based on multisensor data fusion.
We specialize in dataset creation and management, synthetic data generation, training and evaluation of state-of-the-art convolutional neural networks and vision transformers, as well as the development of hardware–software systems for data acquisition and preprocessing.
Our goal is to translate research results into functional solutions for real-world operational conditions, particularly in agriculture, transportation, robotics, and industrial automation, and to support autonomous, efficient, and sustainable process control.
- Intelligent inspection and monitoring systems
- Autonomous technologies for precision and sustainable agriculture
- Computer vision for mobile robots and industrial automation
- AI solutions for real-time operation in demanding environments
Projects Solved by the Laboratory
- design and development of an automated inspection system for defect detection using AI methods
Sustainable Farming: Energy-efficient UAV Technologies for Precision Agriculture
- design and development of a system for precise detection and localisation of objects of interest in real time (e.g., fawns) and for autonomous decision-making during a mission based on detected objects and current environmental conditions.
Autonomous exchange of pulled and carried tools with intelligent navigation using computer vision
- modular system for automatic localisation of the carried tool based on real-time image analysis and determination of its approximate position relative to the field robot
- system for determining the average weight of a flock
- system for locating and identifying the position of dead animals
- a system for herd behaviour analysis based on image processing, providing information for the optimisation of farm management
- a system for continuous identification and ethological monitoring of animals on cattle farms, enabling the collection and analysis of information about each individual animal
- system for detecting hoof inflammation
