Safety 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.
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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Economic efficiency, sustainability, ecology and individuality: Intermodal mobility - the use of different modes of transport on one route - has great potential. But the complexity must remain manageable. In other words: Getting to your destination intermodally, for example with a combination of (rental) bike, public transport and e-scooter, must be as easy and pleasant as reaching for your own car key.
more infoOur technologies for emergency service organizations
In any operation conducted by emergency services such as firefighters, police, or rescue services, the first steps are situation reconnaissance and risk assessment. Drones that transmit live video to the ground control station, can offer a great advantage, especially in complex incidents that are spread over large areas.
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.
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Fraunhofer IOSB has developed an autonomous surface vehicle that autonomously takes measurements above and below the water to generate associated 3D maps.
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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 info4D crime scene reconstruction and geo-referenced image retrieval from mass image and video data
In the investigative field, the need for automated, retrograde image evaluation is increasing immensely due to the rapidly growing amount of image and video data. Intelligent image evaluation procedures offer numerous possibilities here to support police force investigation teams. With CACTUS-3D, we offer an integrated solution to support the processing of mass image and video data for retrograde investigations of crime scenes.
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Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB