Project description
Keeping a close eye on indoor internet-connected devices
The Internet of Things is upon us, with an increasing number of devices monitored and controlled remotely whether to check activity, monitor energy consumption or simply turn things on or off. This applies equally to homes, apartment buildings, offices and factories. Large-scale asset tracking with high accuracy is particularly relevant to the construction and public sectors, yet there is currently no effective way to achieve it indoors. The Swedish SME Combain Mobile has developed the Locate IT platform relying on sensors and self-learning to model buildings automatically, increasing performance with use. The EU-funded LocateIT project is enhancing the technology and conducting the feasibility study on the path to commercialisation.
Objective
This is a proposal for a feasibility study of Locate IT, a new innovative asset tracking system for Internet of Things (IoT) devices. The main advantage of Locate IT is that it will use a new breakthrough method to position a huge number of devices anywhere, both outdoor and indoor, within a few meters including correct floor.
Today there is no positioning solution that can track a device accurately everywhere. GPS is often used for asset tracking but does not work indoor. Indoor positioning systems today require infrastructure and manual setup which make them costly and do not work in all buildings. Global WiFi positioning offered not only by Combain but Google, Apple (for iOS) and Here, works everywhere, both outdoor and indoor, but does not give 3D information (floor) and is not accurate enough (20-100m) for indoor tracking. A global accurate self-learning indoor positioning system is the challenge that Combain focus its research and development on.
Locate IT is a platform as a service that builds on the existing global positioning service by Combain and adds the new indoor positioning technology. This new breakthrough technology uses sensor fusion together with mathematical algorithms to model buildings automatically to make the system self-learning. The more the positioning is used in a building, the more accurate the model will be. These algorithms are the result of many years of research collaboration with Centre of Mathematics at Lund University.
Locate IT is initially targeted towards customers and market segments that can benefit most of the new indoor positioning technology: Construction and Public Sector.
Combain has all components and knowledge required to create Locate IT: a global positioning system, patented new indoor modelling methods, an IoT platform and target customers driving requirements. In this feasibility study, Combain will explore and assess the technical feasibility and commercial potential of the proposed Locate IT asset tracking.
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
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencescomputer and information sciencessoftwaresoftware applications
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Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
223 63 Lund
Sweden
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.