Description du projet
Des dispositifs super intelligents grâce à une plateforme d’apprentissage automatique basée sur le cloud
L’industrie de la fabrication de dispositifs intelligents fait face à un besoin croissant de solutions intégrées à grande échelle combinant une détection non intrusive de la présence de l’utilisateur et une reconnaissance intuitive des gestes, sans nécessiter de matériel supplémentaire. Le projet IMIR-UP, financé par l’UE, a pour objectif de créer une plateforme MLaaS (machine learning as a service) basée sur le cloud qui puisse facilement intégrer des capteurs virtuels aux smartphones et aux appareils. La seule exigence de cette plateforme tient au fait que les utilisateurs définissent l’environnement de fonctionnement du produit (par exemple: mémoire, stockage, capacités de calcul, consommation d’énergie, configuration mécanique et caractéristiques des composants) puis sélectionnent la portée et la sensibilité souhaitées. Les fabricants de dispositifs peuvent ensuite recevoir un logiciel d’intégration adapté à leur produit et un ensemble de classificateurs d’apprentissage automatique.
Objectif
Smart device manufacturers require constant innovation in order to improve their products while simultaneously reducing costs. Hardware-based solutions are expensive, requiring dedicated sensors and long deployment times to fully integrate them into devices, since they must be manually tuned and calibrated for each new type of application. This makes it difficult to customise such devices for different market segments and end-user needs. Furthermore, extra hardware requirements often compromise a device’s design, increasing their bulk and rendering them old-fashioned. Many hardware-based solutions also increase the risk to a user’s privacy and data security, such as those solutions involving cameras. As a result, manufacturers are adopting software-only solutions instead of hardware. However, they do not yet have a presence detection or gesture recognition solution ready for mass commercialization.
Elliptic Labs is the world leader in ultrasound sensing software for smart devices, enabling touchless interactions and gesture interpretation. INNER MAGIC and INNER REFLECTION (IMIR products) are the first-of-their-kind integrated solutions for non-intrusive user presence detection and intuitive gesture recognition, transforming smart devices into genius devices. The aim of the IMIR-UP Phase 2 project is to fully mature our award-winning and patented technology for easy, mass-scale (“plug-n-play”) deployment in any consumer electronic smart device without requiring supplemental hardware (software only). Bringing our innovative IMIR products to the mass market will positively disrupt existing touchless sensing technologies, resulting in an improved user ability to intuitively interact with their smart devices via a natural extension of normal human behaviour. We estimate that we will reach 651.21m smart devices (just 2.87% of our TAM) after the first 5 years of commercialisation, representing accumulated revenues and gross profits of €195.36m and €105.15m respectively.
Champ scientifique
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradio frequency
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
Programme(s)
Régime de financement
SME-2 - SME instrument phase 2Coordinateur
0180 Oslo
Norvège
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.