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#2 VR Valley Meet-up: VR and object detection using AI

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Maddalena
#2 VR Valley Meet-up: VR and object detection using AI

Details

In a lot of VR applications, we can say that object detection, classification and tracking play an important role. Think for example of an augmented reality tool for instructing engineers how to maintain an installation or check if an installation needs maintenance. During this second meet-up, we are inviting companies and researchers who use object detection, classification and tracking in images and videos by using ML tools to exchange information and come up with new ideas and projects.

PROGRAMME

17:15 - 18:00 Welcome at the CIT (with sandwiches and snacks)

18:00 - 18:30 Demo in the Reality Center and the VR lab of the CIT
https://www.rug.nl/society-business/centre-for-information-technology/research/hpcv/faciliteiten/

18:30 - 19:00 Presentation by Koenraad Haas from marinminds: "Object detection, classification and tracking for autonomous shipping"

To develop autonomous systems for the maritime industry, a lot of research needs to be done. A broad range of new and existing technologies need to be integrated into one system. Among others: sensor systems, laser scanners, object recognition, ship control system, maneuvers & trajectory planning, collision avoidance, localization, SLAM, mapping and HMI.
https://www.marinminds.com/

19:00 - 19:30 Presentation about Kaios.ai by Jeroen Zanen: "AI solutions to optimize maintenance and minimize costs of company processes in Road Asset Management".

Kaios.ai is currently working with different solutions to automatically detect and analyze objects on the roads. With our custom-made AI solutions, they automate the detection of road markings, different types of road damages, repaired roads, traffic signs and other objects on and around the road. Knowing when and where something has to be repaired, improved or prevented, provides more control, a higher efficiency and a better quality. This also makes it easier to be economical. They use artificial intelligence to enrich data and to add value. Value to save money, time and raw materials, to unburden the environment.

19:30 Drinks and networking

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