Institute of Information Theory and Automation

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Projects

Dept.: ZOI Duration: 2024 - 2027
The project aims to develop AI/ML models and a theoretical framework to identify and record culturally significant and climate-endangered scents, utilizing internet data for scent valuation. It focuses on creating advanced methods for scent recording and reproduction, including AI/ML models for suggesting adsorbent mixtures and chemical compounds, aiming for high accuracy in replicating natural...
Dept.: ZOI Duration: 2024 - 2026
Current convolutional networks work with inefficient pixel-wise image representation, which does not provide almost any invariance. This leads to using very large training sets and massive augmentation. We propose to decompose intra-class variances into two degradation operators where one of them can be mathematically modelled by a superposition integral with a transformation of the...
Dept.: ZOI Duration: 2023 - 2024
This interdisciplinary scientific project aims to examine the creative context of one of Leonardo's most reproduced subjects: the Salvator Mundi. The ultimate goal is to understand one of the most recurring and replicated compositions of the High Renaissance in terms of workshop procedures, design processes and painting techniques by comparing several versions of the Salvator Mundi...
Dept.: ZOI Duration: 2022 - 2025
At a time of cloud computing and cyber-physical systems like computer-assisted driving, software complexity is growing faster than the rate of improvement in related quality assurance techniques. The ERC-funded VAMOS project will develop monitoring software to identify potential vulnerabilities, errors, and unfair decisions at runtime. Specifically, the project will develop a quantitative...
Dept.: ZOI Duration: 2022 - 2025
The project addresses AI forensic data mining - a new SW platform for detecting objects of interest based on complex spatio-temporal relationships with object attributes and indexed relationships. It will enable AI training directly in the forensic environment using semi-automatic and weakly supervised learning.The lack and accessibility of training data will be considered. An interface for...
Dept.: ZOI Duration: 2021 - 2024
The project aims at developing a conceptually novel approach to inverse problems by proposing a unified theory of invariants to integral transformations using projection operators, and applying it to image restoration and classification problems in biomedical imaging and robotics.
Dept.: ZOI Duration: 2020 - 2021
Řešení automatické analýzy spadu v úlech za účelem detekce Varroa pomocí metod digitálního zpracování obrazu
Dept.: ZOI Duration: 2020 - 2022
The main objective of the project is to develop a dairy cow health control system, the ultimate goal of which would be to significantly reduce the use of antibiotics in the treatment and prevention of infectious mammary gland inflammation. Sub-goals: - Design a system of continuous microbiological diagnostics on dairy farms - Monitor the health and economic benefits of consistently...
Dept.: ZOI Duration: 2019 - 2022
Main goal of the project is to develop a new tool for fast and comparatively cheap inspection of bridge structures as a critical part of transport infrastructure, demanding periodic monitoring to ensure traffic safety. This goal will be achieved by developing a sophisticated technology based on radar interferommetry to detect and quickly analyse dynamic and gradual deformations of the bridge...