From Experience to Application: We offer a “hands-on” approach to humanoid robotics –
as a foundation for developing concrete use cases and roadmaps
Whether you’re a pioneer from industry, an SME, a skilled-trades business, the municipal or government sector, or an emergency services organization: As the Fraunhofer IOSB’s Humanoid Robots Experience Lab (HREL), we offer you low-threshold, hands-on access to humanoid robotics.
more infoPilot project in Mannheim: Algorithm-based video surveillance in public spaces to combat street crime
For the “Intelligent Video Surveillance“ project, Fraunhofer IOSB's VID department is developing a system that can detect possible crimes based on movement patterns and alert police officers in the command and situation center. Facial recognition is not part of the solution approach.
more infoDetecting deepfake images reliably and transparently
Generative AI models enable the creation of realistic images with great potential for creative and medical applications. At the same time, they pose risks, such as through their targeted use for disinformation. The RealOrRender project aims to develop methods that can reliably and robustly distinguish AI-generated images from real photographs.
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Understanding real traffic - safeguarding automated mobility. The safe introduction of highly and fully automated vehicles depends crucially on how well we can digitally map today's traffic events - especially critical situations. AVEAS develops scalable, data protection-compliant methods for systematically recording and modeling risk-relevant scenarios and transferring them to virtual test environments.
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Detection of different drone models
Multisensory system for AI-based drone detection and classification with situation visualization.
more infoTechnical infrastructure and digital twin for quality inspection and comprehensive evaluation
“AutoInspect” is a system for continuous object assessment (in real time) by multimodal inspection along the production cycle. Both a direct reaction to the results and their long-term observation are possible. The system is supported by a digital quality twin with open I4.0 standards.
more infoSafety in urban enviroments: crowd monitoring, prediction and decision support
"S²UCRE" is a project of the Federal Ministry of Education and Research (BMBF). The aim of this project is to improve security in urban environments through crowd monitoring, prediction and decision support.
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"ABUL" is an interoperable video evaluation system with integrated real-time and offline procedures and various visualisation components to support the evaluator.
more infoA toolbox to continuously improve and deploy ML applications (MLOps)
Operating machine learning applications productively requires continuous monitoring, adaptation, and maintenance.
A project of the same name aims to harness our experience across a whole host of AI application domains to realize MLOps with maximum effectiveness and automate it as far as possible. To that end a software suite was developed that incorporates a wide range of tools for creating machine learning applications and training the ML models.
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PrognoSF aims to precisely predict local flash floods by exploiting all available data sources with AI based algorithms.
PrognoSF aims to accurately predict local flash floods by analyzing all available data sources with AI-based algorithms.
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Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB