Detection models for Virtual Reality in surgery training
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F25%3A43978268" target="_blank" >RIV/49777513:23520/25:43978268 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection models for Virtual Reality in surgery training
Original language description
The software developed within this project focuses on advanced AI-based detection models designed for real-time use in virtual reality (VR) surgical training environments. Building on prior research and development in automated video analysis of surgical procedures, the system was created in close cooperation with the Universitätsklinikum Jena. The delivered solution integrates computer vision and deep learning techniques to detect and localize surgical instruments and objects related to the operation field, directly within VR simulations. The detection models are optimized for low-latency inference and robustness under varying visual conditions, which is essential for immersive and interactive training scenarios.
Czech name
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Czech description
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Classification
Type
V<sub>souhrn</sub> - Summary research report
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.
Data specific for result type
Number of pages
6
Place of publication
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Publisher/client name
Universitätsklinikum Jena
Version
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