Data analysis, image evaluation & environmental representation

Artificial intelligence (AI) is driving the advancement of data analysis, image exploitation, and environmental representation.

AI-based data analysis enables the automated detection of correlations and supports decision-making through anomaly detection and predictive maintenance.

Automated image exploitation uses machine learning methods to semantically interpret objects and scenes and is used in areas such as production and autonomous driving.

Semantic environment representation improves the decision-making of AI systems by integrating information from different sources and dynamically adapting it to changes.

At Fraunhofer IOSB, these technologies are being developed to implement innovative, customer-specific solutions in various industries.

 

Data analysis

AI-based data analysis enables correlations in data to be identified automatically, thereby supporting decision-making.

 

Image evaluation

The automated evaluation of image and video data is a key area of expertise at Fraunhofer IOSB and is an important element of many sensor-based applications.

 

Environmental representation

Semantic environmental representation is an important building block for decision-making, planning, and interaction of AI systems in complex and dynamic environments.