WearHealth
Worker 4.0 – Connected. Empowered. Safe and Healthy. The first intelligent and interoperable platform based on AI and wearable/IoT devices for real-time workers safety and health monitoring
Total Cost €
0EC-Contrib. €
0Partnership
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0WearHealth project word cloud
Explore the words cloud of the WearHealth project. It provides you a very rough idea of what is the project "WearHealth" about.
Project "WearHealth" data sheet
The following table provides information about the project.
| Coordinator |
WEARHEALTH UG (HAFTUNGSBESCHRANKT)
Organization address contact info |
| Coordinator Country | Germany [DE] |
| Project website | http://www.wearhealth.com |
| Total cost | 71˙429 € |
| EC max contribution | 50˙000 € (70%) |
| Programme |
1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies) |
| Code Call | H2020-SMEInst-2018-2020-1 |
| Funding Scheme | SME-1 |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-05-01 to 2019-08-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | WEARHEALTH UG (HAFTUNGSBESCHRANKT) | DE (BREMEN) | coordinator | 50˙000.00 |
Map
Project objective
Artificial intelligence is a key priority for the European Union and is a field in which experts are in high demand. US tech giants are paying huge salaries for AI and machine learning talent, creating the potential for an EU brain-drain in the field. European AI research is well funded, but European ‘deep tech’ SMEs are generally less successful than the Americans at leveraging AI R&D into successful commercial ventures. WearHealth is an intelligent decision support system that can use any 3rd party wearables and IoT devices. 3rd party hardware is integrated into our proprietary cognitive technologies to build an intelligent software platform that can identify markers of workers’ occupational risks, health, workload, and work efficiency. With these insights, businesses will be able to detect and predict worker safety and health risks, thus preventing accidents and managing their workforce to improve productivity and operational efficiency. WearHealth’s disruptive character is defined by its unparalleled performance, interoperability, and potential utility in a wide variety of market verticals, unlike any competitive commercial solutions. Following 10 years of R&D at the Artificial Intelligence Institute at the University of Bremen, our team has created a self-learning platform that improves as it analyzes new streams of data. EU industry leaders are already paying to use our version 1.0 platform for worker safety applications in transportation and energy. The goal of this project is to further segment target user groups and refine our go-to-market strategy for WearHealth version 2.0, guided by feedback from large-scale target user and client interviews and surveys. We project generating €40M annual revenue by year 3 after market launch, and directly creating 180 jobs over the same time period.
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The information about "WEARHEALTH" are provided by the European Opendata Portal: CORDIS opendata.