This project explores how AI, edge computing and private 5G can enhance technical education by connecting smart glasses with a digital learning platform.
In collaboration with startup EduvolutionX, Do IoT Fieldlab is developing the integration between these technologies, enabling students to receive real-time guidance and feedback while they build, program and experiment. Providing real-time feedback through smart glasses requires fast and reliable connectivity. By combining private 5G, edge computing and AI, the project enables data to be processed close to the user, allowing students to receive immediate feedback and personalised learning support. The project explores how 5G technologies can enable immersive educational applications under different network conditions and provides organisations with a platform to develop and test their own edge AI solutions.
The demand for technically skilled professionals continues to grow, while technology is evolving faster than traditional education can keep pace. This project uses smart glasses connected to a STEAM (Science, Technology, Engineering, the Arts and Mathematics) learning platform to make technical education more engaging, interactive and effective. By providing students with real-time, context-aware guidance, the solution encourages learning through experimentation and problem-solving rather than simply following instructions. The project also delivers open-source software, reusable research infrastructure and practical guidelines, making advanced digital technologies and edge computing more accessible to educators, researchers and businesses.
Whether students are programming a robot arm or using a 3D scanner: the smart glasses recognise the context, provide adaptive guidance and deliver personalised feedback. All without requiring additional screen time.
This project is enabled by the Kansen voor West programme (aimed at promoting the competitiveness of the Dutch Western region) and the European Union.
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Worldwide, weather is becoming more erratic, and excesses of drought and heavy rainfall are increasing. Current technologies for predicting rain, including radars, satellites, and weather models, are not accurate enough.
For many organisations in horticulture, gaining valuable insights into work processes is fundamental to continuous improvement and meeting industry standards. With this goal in mind, Opus Solutions B.V. has developed the OPUS watch, a smart watch specifically for this sector. However, the connectivity required to track activities isn’t always guaranteed in environments dominated by extensive glass and metal structures, such as greenhouses.
The Dutch greenhouse horticulture sector is facing a pressing challenge: while the workload continues to increase, skilled labour is increasingly scarce. There is no shortage of tasks, only of hands to do them. How can we ensure that productivity and sustainability remain safeguarded? The Telegreen project may offer an answer: a collaboration between academia and companies developing an innovative humanoid arm that will support employees and secure the future of the sector.
SenseGlove, an innovative start-up specialised in Virtual Reality, wants to elevate virtual training of industrial employees to a higher level. With the use of ‘extended reality’ (XR) techniques, a fully simulated work environment is created.
This project will focus on the elaboration of relevant aspects for 5G edge computing. At TU Delft, proof of concept will be implemented.
The Green Village is a Fieldlab at TU Delft Campus where knowledge- and educational institutions, entrepreneurs, government bodies and civilians can research, experiment, validate and demonstrate their sustainable innovations.
Lights on in buildings after office hours: it is a common sight in the Netherlands. This project transforms the current innovation hub on the TU Delft Campus (where Do IoT Fieldlab is also located) into a living lab where researchers, SMEs and field labs collaborate to develop and validate innovative smart building technologies. It focuses on two key themes: Smart Energy Use and Smart Occupancy Sensing.
The future of technical training is immersive, connected, and safer. In this experiment, we combine VR, haptic feedback, and 5G technology to teach crucial skills needed for offshore maintenance and operations.
