Name of the project

RELEVANT - ReaL-time Energy Savings powered by AI and IoT

Project code

NORTE2030-FEDER-00518200

Type

Strengthening research, technological development, and innovation
Intervention Region

North

Beneficiary Entities

Emitu, Lda.

Approval Date

14-11-2024

Start date

01-09-2023

End date

20-08-2025

Total eligible cost
496.068,40 €

Financial support from the European Union
361.269,77 €, from Fundo Europeu de Desenvolvimento Regional

Through the RELEVANT project, EMITU aims to develop two groundbreaking digital tools—PowerAI and ThingsGPT—designed to optimise the energy efficiency of industrial assets and infrastructure using AI and IoT technologies. Moreover, the ThingsGPT solution provides extensive customisation and scalability through intuitive low-code user interfaces, making it accessible to users without technical expertise and enabling citizen development.

Name of the project

Airtrack Energy Monitor

Type

Vouchers for Startups - New Green and Digital Products

Beneficiary Entities

Emitu, Lda.

Approval Date

21-10-2024

Start date

01-01-2024

End date

31-12-2024

Total eligible cost
36.760,00 €

Financial support from the European Union
30.000 €, from Plano de Recuperação e Resiliência

The AirTrack Energy Monitor is an innovative solution designed to boost energy efficiency and reduce operational costs of compressed air networks in manufacturing facilities. With compatibility across all compressor brands, the AirTrack Energy Monitor aims to track energy consumption, optimise performance, and assist in leak detection, contributing to cost reduction and environmental sustainability for industrial companies.

The AirTrack Energy Monitor provides a strategic approach to managing compressed air networks, delivering real-time visibility into energy consumption and key operational parameters. By identifying inefficiencies and areas for improvement, this project will enable significant savings in energy usage and a consequent reduction in carbon emissions, resulting in a positive impact on companies' financial outcomes.

Name of the project

ReATeC – Remote Assessment and Telemonitoring of COVID-19

Project code

NORTE-01-02B7-FEDER-069101

Main objective

Strengthening research, technological development, and innovation

Intervention Region

North

Beneficiary Entities

Emitu, Lda.
Instituto Superior Técnico
Centro Cardiovascular da Universidade de Lisboa

Approval Date

22-06-2020

Start date

01-03-2020

End date

05-12-2021

Total eligible cost
472.487,50 €

Financial support from the European Union
377.990,00 €, from Fundo Europeu de Desenvolvimento Regional

With this project, we intend to develop a system to support the early diagnosis of COVID-19, based on sensors for real-time acquisition of vital signs and data processing using Artificial Intelligence.

The system will detect small variations in its users' physiological parameters - body temperature, pulse oximetry, acoustic cough analysis, heart rate, heart rate variability, and respiratory dynamics analysis, whose origin could be associated with infections such as COVID-19.

The ReATeC system is a mHealth Internet of Things (IoT) solution consisting of low-cost wearable (chest strip, so as not to interfere with the free use of hands) and invisible (mobile device cover) sensors for acquiring vital parameters, mobile devices, gateways, and a cloud platform.

In addition to monitoring, the system enables contact tracing using the sensors as tracking devices, providing a history of the flow of movements of potential infected.

The ReATeC system can function as a real-time map of potential sources of infection through anonymized data aggregated by geographic location.

This project will be developed between the SNS, national R&D system institutions, and an SME. Overall, it is intended to automate the interaction between the user and the SNS, reduce the risk of contamination, and densify the monitoring process over time by increasing the number of symptomatological measures. The system may be extended to other public, private or social units.