Penta call 5
AMPERE
Project completed
Ref: 20014
Status: Recently completed
Project Leader(s): Johan Klootwijk
Additive Manufacturing based Production of Embedded Robust Electronics [AMPERE] Current manufacturing production is optimised for high volumes of low cost, high quality products. Yet, as digitalization and Industry 4.0 (Smart Industry) expand, the drawbacks of this conventional manufacturing become clear. In particular, it leads to a lack of flexibility and highly standardised designs and components. […]
pAvIs
Project completed
Ref: 20016
Status: Recently completed
Project Leader(s): Mark van Helvoort
website: http://pavis-project.eu/
Patient and environment aware adaptive intelligent sensor systems [pAvIs] Many medical devices use complex sensors to diagnose diseases, to monitor or enable restoration of physiological functions, or to treat adverse medical conditions. Currently they use a “one-size fits all” approach. The pAvIs innovations will bring a paradigm shift through real-time adaptability of these systems to […]
Co-label: Penta Call 5 and Euripides² call 13
Ref: 20006
Status: Completed
Project Leader(s): Kai Kriegel
website: https://www.edacentrum.de/trust-e
TRUST-E stands for trustable (sensor-driven) electronics for automotive, aviation and industrial applications. [TRUST-E] In future mobility and industrial solutions, more and more complex electronic systems will be deployed in demanding environments and in safety-critical applications. The main target of the TRUST-E project was the development of technologies and methods to significantly increase the trustworthiness of […]
MANTIS vision
Project running
Ref: 20005
Status: Running
Project Leader(s): Marcel Dijkema
website: https://project-mantis.eu
MANTIS vision [iMAgiNg Technologies of Industry and Security vision] Image capture and image quality are hugely important in today’s digital world. In recent years, image quality has made major leaps forward: moving from HDTV to 4k ultra-HD (and beyond) and with the introduction of High Dynamic Range (HDR) technology. At the same time, a wider […]
AI-SEE
Project running
Ref: 20008
Status: Running
Project Leader(s): Werner Ritter
AI-SEE [Artificial Intelligence enhancing vehicle vision in low visibility conditions] The automotive industry is facing one of the most demanding challenges in its history: how to make automated travel safe in all conditions. There have been great advances towards automation with new vehicles increasingly equipped with driver assistance systems (ADAS). The biggest barrier now remaining […]