Ambient Intelligent Spaces for the many people.
Student Talent Award 2019
Prof. Claudius Coenen, Prof. Andrea Krajewski, Prof. Garrit Schaap, Prof. Tsunemitsu Tanaka who are always there for us with help and advice.
Smart Home, Machine Learning, Ambient Intelligence, Internet of Things, App, Privacy
A framework for smart environments with freedom and privacy in mind. As an open tool, Aiiot enables users to train their own intelligent environment. It consists of smart sensors and can be extended with personal, selfmade and existing IoT devices. Using an easy to understand node-interface, different flows and actions can be created — turning spaces and homes into sophisticated smart environments in just minutes. The aim is to change the passive consumer, who must trust that their sensitive data will not be misused, to an active creator of his environment in a playful way.
We have already built a functional prototype of the Homestation (App/UI), and two smart sensors, the cameraMate and the audioMate, and were able to have it tested by the first experts and users at the ThingsCon in Rotterdam and the See Conference in Wiesbaden. Now it is time to get back to the concept board. Aiiot claims to be for the many people — and being able to be used easily by anyone is our most basic requirement. There are still many things to be decided and improved on.