Mobilaris and Luleå University of Technology collaborate to improve AI-based positioning in the mining industry

Mobilaris recently cooperated with the Applied AI DIH North project of Luleå University of Technology. The goal is to identify, apply and demonstrate different AI methods for positioning information. The purpose is to develop the capabilities and accuracy of the company's existing mining and tunnel application solutions, and to study how to create new services and products. The collaboration will last for two years and will be led by George Nikolakopoulos, Professor of Robotics and Artificial Intelligence at Luleå University of Technology.
The Applied AI DIH North project aims to create a powerful innovation system for the development of the AI ​​industry through collaboration, research, innovation, application test-driven development, education and cluster formation, based on the Digital Innovation Center. The project lasts for three years and is funded by the European Union Regional Development Fund (Tillväxtverket), Luleå University of Technology, Luleå City, Skellefta City and Norrbotten Region.

Daniel Enström, CTO of Mobilaris, said: The technology that appears regularly can not only simplify and improve existing solutions, but also open up new application areas that were previously impossible to build. Artificial intelligence is an example. We have AI at Mobilaris as an important part of our future technology product portfolio. In this case, the cooperation with the university is indeed very good for us. If we succeed, we will have several new applications that can be produced and added to our product portfolio, thus directly benefiting our customers. It involves both automatic system monitoring and a new generation of positioning technology. We really like the university's approach, quick decision-making, the straight path to the beginning of the project and the focus on applications.

Discovering the differences in the distributed localization system will be part of this project. In this case, the deviation will be, for example, an unnatural movement of a specific entity or individual, which does not conform to natural behavior. Based on local-scale sensors or sensors in existing infrastructure for positioning and communication, there is an increasing demand for obtaining positioning information on a global scale. The functions of many positioning algorithms designed for this purpose are based on different types of built-in sensors and have been created in many different systems (such as WiFi, GPS, etc.) to provide location. However, these systems and sensors are susceptible to changes in operating conditions and the surrounding environment. There are many factors that may limit performance, such as an inaccessible GPS environment or outdoor operation with poor GPS reception. "

Michael Nilsson, project manager of Luleå University of Technology, said: It is great to start another business-focused sub-project. Our goal is to become a strong player in the field of applied artificial intelligence. We are now breaking new ground here. Mobilaris The focus and participation of the company helps to achieve one of our goals, which is to become a European digital innovation center with a high reputation in the process and manufacturing industries.
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