Fast adaptation of Elliptic products to new HW platforms based on local support at customer site

Offentlig prosjektsammendrag

Elliptic Laboratories A/S develops virtual AI sensors for mobile phones, laptops, IoT devices and other consumer products. With virtual AI sensors we mean sensors with new sensing capabilities obtained by utilizing hardware components that are already present on the devices, including speakers and microphones for ultrasound transmit and receive, in combination with machine learning. Since our first launch of software based proximity sensing using ultrasound (Inner Beauty) on Xiaomi's bezel-less smartphone Mi Mix in 2016, Elliptic has become a market leader in utilizing machine learning (ML) for sensing of touchless gestures, proximity and presence on mobile phones and other consumer devices. We are currently on more than 150 million devices, and are exploring other markets like laptops and the internet of things (IoT). The business of smartphones and IoT is very fast paced with many new models and products being released each year in each company. To be able to quickly adapt our products to new models and devices and with new sensing capabilities we are in a need to develop our machine learning tools and infrastructure, which is the topic of this project.