Cabling systems: detecting defects before a failure occurs


List, a CEA Tech institute and GraphicsMedia.net member, has developed the first-ever industrial-scale reflectometry-based embedded early cable defect detection demonstrator system.

When it comes to aircraft cabling systems, early-stage defects account for 45% of damage-inducing faults. And yet, traditional reflectometry techniques are mainly useful in detecting dead shorts. A system to detect early-stage defects would let aircraft maintenance technicians attend to these defects before they generate faults.

© Nicomatic

The demonstrator developed by List leverages a circuit board that injects an orthogonal multi-tone time domain reflectometry (OMTDR) signal into the cabling system. When the signal passes through a defective area, some of its energy is sent back to the injection point, while the rest continues to propagate throughout the system. The circuit board creates the reflectogram from the data, and then uses an innovative algorithm protected by several patents to fuse the results from several post-processing methods to provide robust, multi-criteria diagnostics. Another benefit is that a master circuit board can communicate with additional slave circuit boards that send their own reflectograms, resulting in an even more precise combined analysis.

The demonstrator system can detect smaller insulation and shielding defects on twisted-pair and twisted-quad cables than current detection systems. For example, the system picked up a 5 mm-long shielding defect and a bend radius of ten times or less than the cable's diameter during testing, a world-first. The compact system can be integrated into connectors to build self-diagnosing complex cable assemblies. The demonstrator system was presented at a conference and will soon be scaled-up by Nicomatic for manufacturing.

For further information, please visit www-list.cea.fr/en/.

REPLICATE – cReative-asset harvEsting PipeLine to Inspire Collective-AuThoring and Experimentation


REPLICATE‘s main goal is to stimulate and support collaborative creativity for everyone anywhere and anytime (ubiquitous co-creativity). To achieve this goal, the H2020 project, in which GraphicsMedia.net partner Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI) is participating, will address different aspects that currently complicate the process of content creation and collaborative co-creation

 

REPLICATE aims to build upon leading research into the use of Smartphones and their sensors to deliver robust image-based 3D reconstruction of objects and their surroundings via highly visual, tactile and haptic user interfaces. In order to deliver real-time, interactive tools for high-quality 3D asset production, the project will balance device-based vs. cloud-based computational loading, rather than simply replacing regular computers by mobile devices. In this way, REPLICATE will facilitate everyone to take part in the creative process, anywhere and anytime, through a seamless user experience, ranging from the capturing of the real-world, modifying and adjusting objects for flexible usage, and then finally repurposing them via co-creative, MR workspaces to form novel creative media or through physical expression via rapid prototyping.

More information can be obtained at the project web site.

DAKARA - Design and application of an ultra-compact, energy-efficient and reconfigurable camera matrix for spatial analysis


Within the DAKARA project an ultra-compact, energy-efficient and reconfigurable camera matrix is developed. In addition to standard color images, it provides accurate depth information in real-time, providing the basis for various applications in the automotive industry (autonomous driving), production and many more. The ultra-compact camera matrix is composed of 4x4 single cameras on a wafer and is equipped with a wafer-level optics, resulting in an extremely compact design of approx. 10 x 10 x 3 mm. This is made possible by the innovative camera technology of the AMS Sensors Germany GmbH.

The configuration as a camera matrix captures the scene from sixteen slightly displaced perspectives and thus allows the scene geometry (a depth image) to be calculated from these by means of the light field principle. Because such calculations are very high-intensity, close integration of the camera matrix with an efficient, embedded processor is required to enable real-time applications. The depth image calculations, which are researched and developed by GraphicsMedia.net partner DFKI (Department Augmented Vision), can be carried out in real-time in the electronic functional level of the camera system in a manner that is resource-conserving and real-time. Potential applications benefit significantly from the fact that the depth information is made available to them in addition to the color information without further calculations on the user side. Thanks to the ultra-compact design, it is possible to integrate the new camera into very small and / or filigree components and use it as a non-contact sensor. The structure of the camera matrix is reconfigurable so that a more specific layout can be used depending on the application. In addition, the depth image computation can also be reconfigured and thus respond to certain requirements for the depth information.

For more information, visit av.dfki.de/projects/dakara/.

 

DESIREE: improvement of the research and treatment for breast cancer


Desiree Project, an international cutting-edge initiative for the improvement of the research and treatment for breast cancer, has started the next phase with meetings in Valencia, where two of the participants of the work groups come from: ERESA and Sistemas Genómicos. Both entities were hosts for this new consortium-meeting, formed by hospitals, universities and research centres of five countries. GraphicsMedia.net member Vicomtech is the coordinator for this project, and Fundacion Onkologikoa is a participant of it.

The aim of this project, that entered its second development year, is to supply specialists with a fast and intuitive system for medical decision support in the treatment of breast cancer. This system will implement a specific computing platform that will formalize knowledge of the main clinical guides, create new content form previously gathered data, and interrelate a patient’s data with previously stored cases. Once this is done, collected data-sets will be processed and presented by the system per pre-established clinical criteria, which brings doctors a holistic view of the possible treatments and actuation lines for each patient.

More information is available at the project web site.