Never ending innovation

We deploy high-end computer vision and artificial intelligence technologies in diverse industries and create market-ready prototypes.

INNOVATIONS

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Project: Detection of micro and time-evolving surface defects in aluminum extrusion production
Duration: June 2024 – May 2025

“CYRUS-High Definition” is an advanced inspection system, that provides an Inline and Real-time detection of micro and time-evolving defects with the use of AI-powered algorithms applicable in various aluminium extrusion domains.
The innovative project “CYRUS-High Definition” has been designed and implemented in collaboration with Alumil S.A., Etem Gestamp Aluminium Extrusions S.A. and HYDRO Extrusion Nenzing GmbH, during the Call for Proposals 2024-Focus on Innovation from EIT-Manufacturing.

Takeaways
  • Ultra-High definition & multi-spectral equipment
  • Artificial Intelligence
  • Industry 4.0
  • Real-time micro defects detection
  • Early identification of time-evolving defects
  • Innovative quality control solution
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Project: EIT-Manufacturing – RIS-Intrapreneurship
Duration: July to December 2022

Τhe innovative project “EIT-Manufacturing – RIS-Intrapreneurship” uses Artificial Intelligence and Machine Learning in order to provide INLINE and REAL-TIME quality inspection for all the automotive parts on an aluminum production line.

Takeaways
  • Artificial Intelligence
  • Machine Learning
  • Industry 4.0
  • Real-time defect detection
  • Real-Time production monitoring
  • Innovative quality control solution
  • Generalization in a variety of aluminum parts
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Project: AI & Cloud enabled vision system for agile teach-in of Assembly processes
Duration: November 2021 to August 2022

The SpinEye project aims to create and demonstrate a world class Vision System for detecting screw holes in products, specifically in the electronics and automotive industry. SpinEye is a vision-based system for cobots that removes the need for expensive fixtures and handling uncertainties in screwdriving tasks, leading to increased product quality.

Takeaways
  • Vision-guided system for cobots
  • Automated assembly
  • Teach-in interface
  • Real-time screw hole detection
  • Artificial Ιntelligence
  • Industry 4.0
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Project: Smart Laboratory Information System – SMART LAB 4.0
Duration: October 2020 to April 2023

The project incorporates the implementation of an automated and integrated Smart Maboratory Management System with ancillary subsystems that enable machine-to-machine communication, eliminating human error. In order to accomplish this goal, innovative deep learning methods based on the development of recurrent neural networks (RNN) will be built to analyze data from interconnected machines and detect abnormal behavior.

Takeaways
  • Real-time information about the laboratories
  • Machine-to-machine communication
  • Real-time monitoring
  • Artificial Intelligence
  • Machine Learning
  • Industry 4.0
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Project: Marble Factory of the Future
Duration: January 2020 to June 2022

The project incorporates the implementation of a continuous streaming video recorder system, resulting to error detection automation and slab sorting (classification). For this purpose, innovative deep learning methods will be designed, based on the development of large-scale convolutional and competitive neural networks (Convolutional Neural and Generative Adversarial Networks), in order to enable the analysis of the slabs and the collection of quality features and data regarding shape, perimeter, volume and / or color.

Takeaways
  • Real-time marble slab sorting
  • Marble slab optimal cutting recommender
  • Real-time defect detection
  • Real-time production monitoring
  • Artificial Intelligence
  • Machine Learning
  • Industry 4.0
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Project: Intelligent Quality Inspection Aluminium System
Duration: January 2021 to September 2021

The innovative project “Vigilant 4.0” has been designed and implemented in collaboration with ALUMIL SA. Its innovation has to do with the application of Machine Learning and Artificial Intelligence technologies to optimize the production process of aluminium profiles. This project contributes substantially to the extrusion factory transformation towards autonomy. The outcomes of this experiment indicate significant gains for the customers such as scrap reduction, avoidance of unnecessary processing and time-to-market minimization.

Takeaways
  • Inline surface inspection on extruded profiles
  • Real-time automated sorting decision
  • Supporting profiles from different alloys and dies
  • Alert the operators regarding abnormal patterns
  • Artificial Intelligence / Machine Learning
  • Industry 4.0
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Project: AI Visual Similarity Tool for CAD Retrieval
Duration: November 2020 to October 2021

The innovative project “CAD Explorer” has been designed and implemented in collaboration with ALUMIL SA. It refers to an AI-based Visual Similarity tool that uses a simplified die sketch as input and can find the closest design matches of the customer’s database, based on its cutting-edge image similarity, deep-learning based algorithm. The use of such a tool enables the Sales Managers to quickly search and retrieve the most relevant Die Codes. CAD Explorer adopted IDS protocol to ensure sovereignty for critical corporate data. The outcomes of this experiment indicate significant gains for the customers such as the reduction of Time-to-Quote while ensuring corporate data sovereignty.

Takeaways
  • CAD Retrieval based on a sketch
  • AI-powered visual similarity matching
  • Eliminates manual searches for CAD files
  • Reduction of Time-to-Quote
  • Artificial Intelligence / Machine Learning
  • Industry 4.0
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Project: Immersive Marathon Runner Application (IMRA)
Duration: May 2019 to December 2019 - June to September 2020

FLAME Future Media Internet (FMI) is an initiative designed to create a sustainable Future Media Internet ecosystem through experimentation, collaboration and innovation.

IMRA is about a marathon framework for outdoor running events designed to be deployed in 5G infrastructures. The experiment objectives are (i) to provide an intriguing application to marathon audiences, (ii) to leverage the FLAME’s platform to achieve the best possible QoE for the end-users, (iii) to experiment by deploying and benchmarking D-Cube’s technologies on a new and disruptive 5G platform, (iv) to provide valuable feedback to the FLAME consortium regarding the feasibility of the deployment of Deep learning technologies on the FLAME platform.

Takeaways
  • 5G Infrastructures
  • Immersive sports events
  • Crowdsourcing apps
  • Deep Learning on streaming video
  • Smart video summarization
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Project: CYber physical aluminium extRUsion System (CYRUS)
Duration: October 2018 to September 2019

DIATOMIC, is an exclusive network of Digital Innovation Hubs—part of the EC’s Smart Anything Everywhere initiative. It is a pan-European business and technology ecosystem, with focus on health, agrifood, and manufacturing sectors, uniquely suited to microelectronics startups/ SMEs seeking to accelerate the time to market of novel digitized products and services.

D-Cube is proud to be a part of one of 8 winning consortia, collaborating with Ingenno Berlin, on the CYRUS experiment. CYRUS is a holistic Quality Assessment (QA) solution for aluminium extrusion.

Takeaways
  • Artificial Intelligence
  • Machine Learning
  • Real-time defect detection
  • Real-time production monitoring
  • Profile performance analytics
  • Aluminium Digital Twin
  • Industry 4.0
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Project: On-site training of INdustrial workers using AR Technology (INART)
Duration: October 2018 to March 2019

The MIDIH “Manufacturing Industry Digital Innovation Hubs” project aims at realizing services to support the ICT Innovation for Manufacturing SMEs.

The INART experiment proposed and demonstrated a novel way of Augmented Reality (AR) guided assembly in a manufacturing environment. The AR driven assembly process is drastically changing the way an assembly is presented to the workers as well as the way workers and supervisors interact in an immersive way in the manufacturing process.The experiment was conducted at the AIC (Automotive Intelligence Center) didactic factory at Bilbao

Takeaways
  • Augmented Reality Glasses
  • Industrial Training
  • Remote Assistance
  • Industry 4.0
  • 3D Assembly
  • Manufacturing Industry DIH
  • Industry 4.0
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Project: Next-gen immersive media
Duration: July 2017 to September 2017

TRIANGLE is an EC funded project under the Fire+ initiative. The project is developing a pre-5G testbed to help app developers and device manufacturers in the evolving 5G sector to test and benchmark new mobile applications in Europe utilizing existing and extended FIRE testbeds.

The experiment incorporated a simulated streaming environment hosted in the TRIANGLE testbed facilities that reproduced live content recordings. Remote experimentation was achieved for a largely challenging setting, live streaming VR media demonstrating the capabilities of an appropriately orchestrated testbed.

Takeaways
  • 3D Content over 5G
  • 5G testbed
  • Spectating App
  • Automated Testing Adaptation
  • Virtual Reality 5G streaming
  • 3D Replay System
  • 3D Streaming QoS/QoE
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Co-financed by Greece and the European Union.