Vidas Raudonis

Professor at KTU Faculty of Electrical and Electronics Engineering

Vidas Raudonis is a professor at the KTU Faculty of Electricity and Electronics. Scientist has created several prototypes based on numerical intelligence and image processing methods. In cooperation with “Penki kontinentai Group”, V. Raudonis developed prototypes of face detection and recognition programs. The professor has also participated in the national high-tech development project “Application of numerical intelligence methods in the development of high-speed pupil position tracking systems” and has developed several video signal processing methods.

V. Raudonis is the owner and director of UAB Power of Eye. The company is engaged in the application of computer vision and artificial intelligence in the industry. Visual quality inspection, defect analysis, automation, and work with big data are performed. The company has implemented many industrial applied projects in such companies as AB “Kauno Grūdai”, UAB “Lietlinen”, JSC “Blue Ocean Robotics”, UAB “Gudobėle”, UAB “AT Medical”, UAB “Naujasis Nevėžis”, UAB “Baltijos Polistyrenes”, UAB “Nematekas” in cooperation with UAB “Automatikos centras” and others.

Research Areas

Computer Vision
Image analysis and processing
Application of artificial intelligence technologies in medicine
Intelligent assistance systems
Machine learning algorithms
Deep Learning – Convolutional Neural Networks

Projects

Development of an industrial robotic system adapted to place products on a moving conveyor line

This research project was funded by European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments. This project was carried out together with the partner UAB Vekompany. During the project, an attempt was made to solve the scientific problems arising in order to create an industrial robot system adapted to placing products on a moving conveyor line.

Multilevel Artificial Intelligent Based Prototype Inverter of Wind-Solar Hybrid System

During the project “Multilevel Artificial Intelligent Based Prototype Inverter of Wind-Solar Hybrid System” the completion of the artificial intelligence based prototype inverter for the wind-solar hybrid system was created. The prototype have been investigated in KTU Electric Drives Laboratory of the Department of Automation and experimented with in the existing hybrid wind-solar power station and electric car charging point system, which has twelve wind generators and twelve solar panels. Project partner – UAB Signeda.

Development of industrial robot systems for small-scale furniture production

JSC “Industrial Robotics Company”, together with partner KTU, aimed to develop four new innovative robotic systems (grinding, finishing, milling and drilling and packaging manufacturing of furniture and components) for small-scale furniture production, combining robots, mechanization and automation units, tools for specific tasks and control solutions. The robot solutions created during the project reduce the time of new products entering the production line, save on manufacturing costs, create a safer work environment for furniture industry employees, create highly qualified and well-paid jobs, optimize production processes and ensure the quality of production.

Smart Traffic Monitoring System

The project was carried out with the partner UAB “Altas”. During the project, a multifunctional traffic monitoring and control device was developed, which includes the integration of a smart camera, a dynamic detection magnetic field sensor system for vehicle classification and speed measurement by identifying the vehicle by license plates at any time of the day, car speed and license plate recognition software equipment, an adaptive combined infrared and visible light source.

Articles

No.	Title	Authors	Year
1.	Mobile robots navigation modeling in known 2D environment based on Petri nets	Stanislovas Bartkevičius, Olga Fiodorova, Andrius Knyš, Alma Dervinienė, Gintaras Dervinis, Vidas Raudonis, Arūnas Lipnickas, Virginijus Baranauskas, Kastytis Šarkauskas, Leonas Balaševičius	2018
2.	Recognition of emotional vocalizations of canine	Rytis Maskeliūnas, Vidas Raudonis, Robertas Damaševičius	2018
3.	Recognition of basketball referee signals from videos using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM)	Julius Žemgulys, Vidas Raudonis, Rytis Maskeliūnas, Robertas Damaševičius	2018
4.	Application of numerical intelligence methods for the automatic quality grading of an embryo development	Domas Jonaitis, Vidas Raudonis, Arūnas Lipnickas	2016
5.	Application of computer vision methods in automatic analysis of embryo development	Domas Jonaitis, Vidas Raudonis, Arūnas Lipnickas	2015

Publications in media

vidas.raudonis@ktu.lt