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Domo4mAI

Domo4m: Scalable Intelligent home office automation for energy savings

Total Cost €

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EC-Contrib. €

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Partnership

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 Domo4mAI project word cloud

Explore the words cloud of the Domo4mAI project. It provides you a very rough idea of what is the project "Domo4mAI" about.

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Project "Domo4mAI" data sheet

The following table provides information about the project.

Coordinator
DOMO4M SA 

Organization address
address: COMANDANTE ZORITA, 55-1 D
city: MADRID
postcode: 28020
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website https://www.domo4m.com
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.3. (SOCIETAL CHALLENGES - Secure, clean and efficient energy)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2017-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DOMO4M SA ES (MADRID) coordinator 50˙000.00

Map

 Project objective

Domo4m proposes a home & office automation solution that maximizes energy savings in each household or office, and enables a higher penetration of automated homes and offices due to affordable costs, ability to retrofit existing premises, and the ease of use of the solution. To achieve this, we use Artificial Intelligence (AI) to learn, predict and react on user’s habits to maximize efficiency, and leverage the flexibility of software running on standard hardware with existing wireless protocols. Existing Home Automation systems are complex and expensive. Our solution takes an innovative approach to overcome these barriers by implementing: • Cost reduction o Leverage economies of scale using smartphone based HW, to run our SW on an automation controller deployed at customer´s households. o Use of inexpensive standard based sensors and actuators to maximize the number of controlled devices at an affordable price. o Subscription based model to lower barrier and provide new value added services • Simplify usage: o The AI algorithms included in our SW will implement a ready to use “home configuration” that will be automatically customized to our user´s behaviour and preferences with a minimum user interaction, while keeping security, confidentiality and privacy levels. o We intend to implement and end to end managed service model, were a local field force will consult, install and support most of our solution deployments.

Most systems today implement siloes of functionality (heating control, lighting, entertainment, security), compromising user adoption. Our system leverages SW flexibility to implement a single control platform for all devices at home. In conclusion, our solution would accelerate home & office automation adoption to reach predicted 20% penetration. Home & Office automation can save up to 27% o energy consumption to contribute to EU target to reduce energy consumption.

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The information about "DOMO4MAI" are provided by the European Opendata Portal: CORDIS opendata.

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