Manufacturing industries must address the needs of their human resources to maintain efficiency and profitability in the global markets. By fostering safe, psychologically supportive working conditions, companies can improve work performance and retain their workforce in the face of labor shortage. →
In collaboration with XITASO, we have developed a trade fair showcase that presents object recognition and segmentation using neural networks. By using RGB and infrared cameras, road users such as cyclists and pedestrians are recognised under different environmental conditions. Pre-trained models such as YOLOv8 and Mask R-CNN are used, which have been subsequently fine-tuned to infrared data to enable reliable detection even in poor lighting conditions. →
Plan graphic 2.0 →
Augsburg car-free! The task is the integral planning of an above-ground modular parking system, which is at the same time an electricity power plant and offers co-working spaces. →
A research project focused on identifying vulnerabilities in C and C++ code using Large Language Models. →
The project aims to assist small and medium-sized enterprises (SMEs) in analyzing existing code for potential vulnerabilities and valuable assets that need protection. The goal is to minimize the entry barrier for companies, ensuring easy access to the analysis tools and processes.
