AI enabled Data Driven Change Detection

Our solution represents a comprehensive suite of multisensory visual sensors designed to gather data from diverse sources, including robotized missions, pre-existing legacy traffic systems, and even human activities.

Saphai machine against a gray background

Year:

2024

Category:

Smart industry

Responsible Researcher:

George Nikolakopoulos, Ilias Tevetzidis, Nikos Stathoulopoulos, Christoforos Kanellakis, Anton Koval.

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This holistic approach provides a data-driven, multidimensional framework for detecting variations in the environments. The core components of our solution address critical pain points and encompass three key aspects: object detection, conditional change and property changes.

IVA’s 100 List 2024: Innovation through Interdisciplinary Research

IVA’s 100 List 2024 highlights a diverse range of research projects from Swedish universities, under the theme Technology in the Service of Humanity - Innovation through Interdisciplinary Research. The projects have been selected based on their great potential to create value through commercialization, business and method development, or societal impact. All participating researchers are interested in increased contacts with the business sector for the application and further development of their projects.

Named contact persons for each research project on the 100 List are responsible for the accuracy of the information presented.

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