Project description
Automated visual assistance for smart devices
Automated visual support has become increasingly important in enhancing the efficiency and accessibility of smart devices. The EU-funded BlinkIn Visual Assistant - June 2021 project proposes a platform that enables the next generation of visual and automated tech support. The proposed solution will support enterprises in creating digital assistants for electronic devices, which will guide people through first-time setups, troubleshooting and maintenance in an interactive manner. The platform’s VisualBots will use computer vision to analyse a problem and interpret situations using AI/machine learning recommendations. They will then guide users through visual resolution interactively using augmented reality. To enable easy creation and customisation of a visual AI operating system, the project will make use of its NoCode Platform.
Objective
BlinkIn develops a platform to enable the next generation of tech support. Tech support is with BlinkIn visual and automated.
BlinkIn enables enterprises to create digital assistants for smart devices that guide people interactively through first-time setups, troubleshooting, and maintenance. Our VisualBots will analyse a problem using Computer Vision, interpret the situations through AI/ML recommendations, and guide through a visual resolution interactively using Augmented Reality. With its NoCode Platform, we will build an open European ecosystem where contributors can create, build and sell visual skills to deliver learning models for end-users to simply resolve a problem with their smartphones.
Our moonshot is to “Give the world a Help Button”. We define a new category of automated visual support with market potential way beyond the standard audio or chatbots assistant towards a visual AI Operating System as a European counter force to other assistants (ie. Siri/Alexa/Bixby).
Fields of science (EuroSciVoc)
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.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
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Keywords
Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended FinanceCoordinator
85625 Baiern
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.