The long term goal of ULPEC is to develop advanced vision applications with ultra-low power requirements and ultra-low latency.
The output of the ULPEC project is a demonstrator connecting a neuromorphic event-based camera to a high speed ultra-low power consumption asynchronous visual data processing system (Spiking Neural Network with memristive synapses). Although ULPEC device aims to reach TRL 4, it is a highly application-oriented project: prospective use cases will be studied and an application roadmap will be developed, by considering interoperability for an integration in “systems of systemps” as well as the definition of upper power consumption limits depending on future application. The project consortium therefore includes an industrial end-user (Bosch), which will more particularly investigate autonomous and computer assisted driving. Autonomous and computer assisted driving are indeed a major disruption in the transport and car manufacturing sector. Vision and recognition of traffic event must be computed with very low latency (to improve security) and low power (to accommodate the power limited environment in a car, such as power budget and heat dissipation).
Substantial impact on innovation capacity and creation of market opportunities is expected under the ULPEC project: four enterprises (two SMEs) participate to the project. The ULPEC project is an opportunity for European companies such as TSST to increase the competitiveness and increase the global market share in manufacturing tools for complex oxide thin film synthesis. Besides, a compact, low-power vision system based on the technology intended to be developed in this project would generate a distinct competitive advantage over conventional solutions and would clearly boost Chronocam’s market potential. ULPEC is also an opportunity for SMEs to develop stronger collaboration with the industrial leaders involved in the project, such as IBM and Bosch.
MONBASA is a project funded under the Horizon 2020 research and innovation programme, and will start in June 2016. It is one of the selected initiatives of the call COMPET-03-2015 – Bottom-up space technologies at low TRL and has a funding volume of EUR 996 465,50. It is coordinated by the basque Energy Cooperative Research Centre, CIC Energigune. EURIDA Research Management assisted CIC Energigune during the entire project and proposal development phase. The project will run until May 2018.
The overall ambition of MONBASA is to develop an energy storage system for small satellites (nano-/microsatellites) that outperforms existing solutions and can be integrated with MEMS technology.
MacroFuels is an ongoing project, funded under the Horizon 2020 research and innovation programme, and started in January 2016. It is one of the selected initiatives of the call LCE-11-2015 – Developing next generation technologies for biofuels and sustainable alternative fuels and has a funding volume of EUR 5 999 892,50. It is coordinated by the Danish Technological Institute. During the project development phase, EURIDA Research Management was responsible for designing the project’s dissemination, communication and public engagement measures, and, as project partner, is now responsible for their implementation as part of the MacroFuels impact maximisation strategy. The project will run until the end of 2019.
Over the next four years experts from six European countries will concert their efforts to achieve breakthroughs towards the commercially viable production of third-generation biofuels from seaweed or macro-algae. The progress that will be achieved by MacroFuels will have significant impact on various economic fields, and – most importantly – paves the way towards a sustainable solution for biofuels that is not competing with arable land or food in contrast to 1st and 2nd generation biofuels derived from food-based crops and residuals. Thus MacroFuels aims to form a substantial part of the renewable energy from photosynthesis counted towards the goal set by the European Union of using renewables for 10% of their transportation energy use by 2020.