Machine vision group, the research team from the Institute of Automation and Informatics, has long been involved in the development and implementation of robust computer vision systems. They are also engaged in the development of methods and instrumentation for sustainable machine vision. Both research directions are thus focused on digitalization and Industry 4.0. The primary focus includes developing methods for handling imbalanced datasets, enhancing data augmentation techniques, and designing effective data collection methodologies. With the support of the machine vision lab, these proposed techniques are rigorously tested on real-world industrial manufacturing problems and beyond.
Machine Vision Group
- IndustryAgriculture & Food, Defense & Security, Education, Electronics & Sensors, Environment, Waste Management & Circular Economy, Healthcare, Pharma & Biotech, Industry Agnostic, Information & Communication Technologies, Science & Research, Test & Measurement Instrumentation, Transportation, Mobility & Logistics
- InstitutionBrno University of Technology
- Faculty / InstituteFaculty of Mechanical Engineering
- Research typeApplied, Experimental
- Research areaInterdisciplinary, Machine Learning, Computer Vision & Video Analytics
Group head
Pavel Škrabánek, ORCID
Affiliated Research Center / Institute
deep convolutional networks, image classification, object detection, anomaly detection, image segmentation, imbalance data, hyperspectral image processing
- ContactPavel Škrabánek
- Emailpavel.skrabanek@vut.cz
- Websitehttps://www.fme.vutbr.cz/en/veda/centra/netme/aktivity/74113
- AddressTechnická 2, 612 00 Brno