News
March 18, 2020

4 experiments granted after the 3rd Open Call for Bilateral TTX

We are proud to present these 4 new TETRAMAX experiments granted after the 3d open call for bilateral technology transfer experiments: Self leArNing Tank mOnitoring system (SANTO), An innovative RAINfall monitoring solution based on the combined used of microWAVE links and radar, Distributed Ledger Technology (DLT)-Based Collaborative Robotics for a Low-Energy Machine Economy in Manufacturing Environments, Low-Voltage FPGA-based Embedded Deep Learning for Improving Energy Efficiency (LV-EmbeDL)

These four experiments were selected for financial support from TETRAMAX after an in-depth evaluation by external experts. The assessment is based on defined criteria resulting in a score and individual comments on technical aspects described in the proposal.

Self leArNing Tank mOnitoring system (SANTO), is a collaboration between the Universidad Autonoma de Madrid, Spain and KAPITEL D GmbH, Austria.

Over 50% of Diesel fuel is supplied via mobile and non-commercial industrial tank systems which in their vast majority do not offer any monitoring infrastructure. Key reasons are the very heterogeneous tank constructions, whose components are provided by numerous suppliers, and a sensor technology as key element that is designed for very specific use cases concerning tank form, size, or material.

An innovative RAINfall monitoring solution based on the combined used of microWAVE links and radar (RAINWAVE) is a collaboration between Artys from Italy and French SME partner NOVIMET.

The RAINWAVES transfer of technology project aims at providing a proof-of-concept of a novel Decision Support system solution for environmental monitoring in France by transferring the Artys’ IPs and knowledge on IoT low-power wide-area network of sensors to NOVIMET by means of a licensing agreement. Artys and NOVIMET will also agree on the exclusivity option in some specific states.

Distributed Ledger Technology (DLT)-Based Collaborative Robotics for a Low-Energy Machine Economy in Manufacturing Environments (CORONA) joins the University of Ljubljana for Slovenia with German partner Pumacy Technologies AG.

More information about this collaboration will be shared after the project has finished.

Low-Voltage FPGA-based Embedded Deep Learning for Improving Energy Efficiency (LV-EmbeDL) brings together the expertise of the Barcelona Supercomputing Center- Centro Nacional de Supercomputacion in Spain with the Swedish technology partner EMBEDL AB.

LV-EmbeDL will extend the EMBEDL AB’s Deep Learning (DL) optimizer (EmbeDL) with BSC’s aggressive undervolting technology (supply voltage underscaling below the nominal level) to maximize the energy efficiency of embedded FPGA-based DL systems. LV-EmbeDL will be utilized by the industry partner’s customers in domains like autonomous cars, telecom, and IoT.

More information

About TETRAMAX

TETRAMAX is a Horizon 2020 innovation action within the European Smart Anything Everywhere (SAE) initiative in the domain of customized and low-energy computing for Cyber Physical Systems and the Internet of Things. As a Digital Innovation Hub, TETRAMAX aims to bring added value to European industry, helping to gain competitive advantage through faster digitization. The project partially builds on experiences with the TETRACOM project during 2013-2016. TETRAMAX was launched in Sep 2017 and runs until Aug 2021.