Objective
The installation, upgrade and operational maintenance of utility infrastructures protection is a global challenge which is continuously growing. The Augmented Reality Assisted System for Utilities Infrastructure Management(AIM) is a system designed to support utility field workers. The AIM platform integrates different technologies such as: positioning and sensors(GNSS), Augmented Reality(AR), Geographical Information Systems(GIS) and 3D databases. In practise, this system will guide the field workers in underground and building utilities to ‘see’ what is happening under the ground, floor and behind the walls, like an “x-ray image” of the infrastructure.
The system is using AR interfaces to render the complex 3D models of the utilities infrastructure such as water, gas, electricity and communications. in an approach that is easily understandable and useful during field work.
AIM will provide better, more streamlined on-site utility management; maximize existing investments; reduce operation and management costs; reduce accidents and improve working conditions.
AIM’s target customers are all organizations involved in the utilities management sector.
This project goal is to develop a technical and commercial feasibility assessment as a milestone step towards the creation of the AIM’s line of products and services and it’s worldwide commercialization.
The objectives of this feasibility assessment are to define market niches, consumer needs, evaluate relevant legislation aspects, identify and solve market barriers, determine the AIM’s technical feasibility, as well the economic and social impact of it’s commercialization.
The project will create a return on investment of 192% in 5 years of commercialization, grow the company sustainability and generate the conditions to hire 60+ staff. Most importantly it will contribute to improve the European utility infrastructure management while simultaneously reducing it’s financial and societal costs.
Fields of science
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 sciencesdatabases
- social sciencessocial geographytransportnavigation systemssatellite navigation systemglobal navigation satellite system
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
2125-226 MARINHAIS
Portugal
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.