Technology Spotlight: Machine Learning & the Role of Idener in the DiCiM Project

The cutting-edge DiCiM project is set to unlock the full potential of machine learning across numerous applications areas in an effort to accelerate European Research and Innovation. Idener is working actively alongside the DiCiM consortium to bring this vision to life, providing its expertise in machine learning to the project.

This includes the development of adaptive Augmented Reality application instructions for Gorenje and C-ECO. The plan is to leverage machine learning to enable highly dynamic AR systems, capable of delivering personalised, contextually appropriate instructions in real-time to assist in the disassembling process of their products. This bold vision requires advanced machine learning techniques, including reinforcement learning and natural language processing.

The DiCiM project also targets the enhancement of parts sorting and recovery mechanisms through machine learning. This process aims to improve automation, allowing precise and efficient sorting based on different attributes. The implementation of advanced computer vision and deep learning technologies will enable superior object detection and classification.

The machine learning models being developed will embody effectiveness, scalability, adaptability, and respect for privacy. Furthermore, the models will be tailor-made for specific requirements, contributing significantly to the success of the DiCiM project and enhancing machine learning capabilities.

Idener will support the DiCiM project in these and other tasks as a technology provider, thanks to its proven expertise in the field of machine learning and AI, demonstrated across its vast R&D projects’ portfolio.

Stay tuned to DiCiM's journey as it disrupts the European R&I landscape through the power of machine learning.

For more information, visit DiCiM Project's website or email dicim@crowdhelix.com.