Get to know the winners #OC1: PaperXR

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Team: NEXUSIT LTD. (www.nexus-it.tech)

Proposal Acronym: PaperXR

Proposal Title: PAper Printing workEr tRaining using eXtended Reality

Proposal Summary: PaperXR aims to revolutionize training in the manufacturing industry, especially in the context of the printing sector. Traditionally, manufacturing has shifted from craftsmanship to complex machinery, demanding continuous training. This incurs substantial costs due to the need for halting production and consuming materials like paper and ink, with significant environmental and economic consequences. PaperXR uses Extended Reality (XR) tools to create a lifelike training environment. It replicates printing production procedures and machine operations, addressing challenges like modeling tasks, virtual hardware design, and real-time interaction. By merging real-world hardware data with virtual models, trainees work with digital twins of actual machinery, fostering a holistic understanding of operations. The project unites three experienced teams from IT, Industry, and Academia. The innovation lies in XR technology’s application to training, offering a realistic, interactive, and cost-effective alternative. XR-based training enhances safety, reduces material costs, and extends the lifespan of equipment. It also supports remote learning, making continuous skill development accessible. However, challenges include high XR equipment costs, content creation complexity, employee resistance, and a lack of industry standards. Overcoming these hurdles requires careful planning, investment, training, and a commitment to integrating XR technology into the printing industry workflow. Addressing these challenges is vital to realizing PaperXR’s full potential in transforming training in manufacturing.

Applicants:

  1. NEXUSIT Ltd.
  2. D. Panagiotopoulos & Co GP – Future Format
  3. UPAT – Special Account for Research Grants

Country: Bulgaria :bulgaria:

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I had the opportunity to try the application during AWE 2024. The level of detail in the environment was impressive, as it simulated the entirety of the printing process. Adjusting colors and paper size is a complex task in real life, and such an application proves highly useful for educating future users of the infrastructure. It allows trainees to repeat the process and make mistakes without incurring any real costs while providing guidance on how to properly follow the printing process.

The evaluation of this application is also noteworthy, as researchers compared traditional training on the infrastructure with training in virtual reality, ultimately testing knowledge acquisition on the real system. This process effectively demonstrates the benefits of using VR for training users on such systems.

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