Project description
Revolutionising how IoT devices consume and replenish energy
The IoT landscape is undergoing a seismic expansion, projected to reach trillions of connected nodes by 2035. However, the crux of this unprecedented growth lies in its Achilles’ heel, which is the finite battery life of IoT devices. With this in mind, the EIC-funded EPEAS project will harness ultra-low-power semiconductor technologies and energy harvesters that tap into ambient sources like solar, thermal, vibration and radio energy. EPEAS allows IoT devices to recharge without human intervention or hazardous battery disposal. This groundbreaking integration of energy harvesting, edge computing and computer vision positions EPEAS as the European-based global leader, poised to meet the impending demands of energy-autonomous IoT and edge-computing devices.
Objective
The number of internet of things (IoT) nodes is exploding and is expected to reach trillions by 2035. The biggest logistical challenge of an IoT device is its finite battery life. In response, we develop disruptive ultra-low power semiconductor technologies. Our energy harvesters allow IoT devices to use ambient energy (solar, thermal, vibration, radio) to recharge batteries while our sensing solutions and our microcontrollers optimize/reduce the energy consumption. This enables designers to substantially reduce IoT device battery requirements while eliminating the labour costs of replacing and environmental hazard of disposing of used batteries. With EIC support, we will deliver/industrialize the World's first integrated IoT platform uniquely combining energy harvesting, edge computing and computer vision with ultra-low-power consumption. This will position e-peas as a European based global leader to address the imminent needs of energy autonomous IoT and edge-computing devices.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
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Keywords
Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended FinanceCoordinator
1348 OTTIGNIES-LOUVAIN-LA-NEUVE
Belgium
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.