H2020 See Far

Committente: Commissione Europea

Data Analysis Progetti di Ricerca e Data Communities Ricerca Clinica

Smart glasses for multifacEted visual loss mitigation and chronic disEase prevention indicator for healthier, saFer, and more productive workplAce foR ageing population

Quantitas participates in the See Far project funded by the European Commission within the Horizon 2020 Research and Innovation for the next 3 years.  Twelve partners from five different countries, Spain, Italy, Greece, Bulgaria and Denmark, will create a digitally enabled solution supporting aging workforce with vision loss. This solution aims to be a support to an independent and active healthy lifestyle ensure work life balance of users, enhance their social engagement, allows their participation in team working, as well as their career development, since it boosts self-estimate and self-confidence to cope with their everyday responsibilities.


EU workforce is ageing. Europe’s ageing population raises many challenges for policy makers in relation to employment, working conditions, living standards and welfare. Quantitas among other enterprises, research centres and universities participate in the project will provide the necessary knowledge to guarantee the success of the project in all its stages of development. See Far solution will be made up of the See Far smart glasses and the See Far mobile application. This solution will ensure the creation of an adaptive smart working and living environment (augmented reality workspace).  See Far smart glasses are adapted to the needs of the users and optimize their view empowering older adults to solve the most meaningful problems, transforming how they design, build, maintain and collaborate in their organization, perceiving the world conveniently and enjoying a safer exploration in an indoor/outdoor environment.  In order this to be achieved a personalized visual assistant will be developed capturing the condition of the eye, detecting the problem and provide the appropriate adjustment through the integration of gaze tracking, machine learning and augmented reality technologies.

For more information:  https://www.see-far.eu/