Project description DEENESFRITPL Smart heating suit improves safety for sub-zero workers Over 9 million people worldwide work in sub-zero environments, with 200 000 of these in oil and gas rigs in North Europe. Protecting them adequately without hampering movement is a special issue resolved by QOOWEAR through its unique ‘Smart Interconnected Heating Suit’ (SIHS). This AI-controlled heating garment has embedded sensors that monitor the surrounding environment, detect the parts of the body that are the coldest, and warm them. The ‘connected worker’ wears the ultra-lightweight and anti-sweat suit next to the skin as a base layer. Besides boosting working efficiency, the system allows companies to monitor the health of workers and predict threatening conditions through the use of collected biodata, warning the company with pop-up alerts. Show the project objective Hide the project objective Objective "QOOWEAR’s project aims at addressing the Oil& Gas industry technological challenge to create and adopt a technology that could process data from monitoring systems embedded in workers’ equipment – a concept known as ""Connected Worker"".In 2017 the World Economic Forum stated that “The Oil&Gas Industry entails risky activities and the potential for connected worker technologies to improve safety is particularly relevant”.QOOWEAR will bring to the market the World’s First Smart Interconnected Heating Suite (SIHS) to the Oil&Gas workers, a radically innovative system which recognizes the coldest points of the body, giving them the priority to be heated. It is a base-layer, worn in contact with the skin, 100% embeddable into existing equipment. The hardware embeds sensors to check the environment around the body in real time, to decide where and how much it needs to be heated.At the same time, the Suite embeds a Software as a Service (SAAS), representing a deep value proposition of the project, which will enable workers’ data bio-tracking. Thanks to the connected worker system, companies will be able to monitor state of health of workers in real time and in remote, based on pattern recognition’s algorithms (AI). Those algorithms allow the prediction and anticipation of safety risks on the field, generating automatic alarms in case of real emergency (pop-up alerts via Dashboard).This project aims at improving the living condition of people who work in subzero environments, that corresponds approximately to 9 Million workers worldwide. Specifically, QOOWEAR will address the North European Oil&Gas market, that is the Service Available Market (SAM) composed of 220.000 workers. Moreover, benchmark analysis has shown the lack of direct competitors.QOOWEAR’s Team has capabilities both in terms of technology track record and business administration, with members of the NASA and Co-founders with engineering background." Fields of science natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsnatural sciencescomputer and information sciencesartificial intelligencepattern recognition Programme(s) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Topic(s) EIC-SMEInst-2018-2020 - SME instrument Call for proposal H2020-EIC-SMEInst-2018-2020 See other projects for this call Sub call H2020-SMEInst-2018-2020-1 Funding Scheme SME-1 - SME instrument phase 1 Coordinator QOOWEAR ITALIA SRL Net EU contribution € 50 000,00 Address Via ludovico ariosto 51 73100 Lecce Italy See on map Region Sud Puglia Lecce Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 21 429,00
