Speaker
Hunor István Lukács
(Eötvös Loránd University, Robert Bosch Kft.)
Description
The ELTE AI Department, in collaboration with Bosch, addresses industrial challenges by leveraging AI expertise to develop innovative solutions, such as autonomous driving and production optimization in factories. One of these projects focuses on welding line detection. In modern industrial settings, accurately identifying and verifying welding lines is essential for ensuring product quality. However, traditional manual inspection methods are labor-intensive and time-consuming, especially when handling large volumes of data. This project introduces an AI-driven approach to automate the inspection process, improving both efficiency and reliability.
Primary author
Hunor István Lukács
(Eötvös Loránd University, Robert Bosch Kft.)
Co-authors
Dr
János Botzheim
(Eötvös Loránd University)
Dr
Tamás Fischl
(Robert Bosch Kft.)
