Join us to help shape the UK 'IoT for care' agenda. During this online conference we will discuss IoT applications and related problems, looking to develop concrete ideas for possible projects we can develop together to advance the use of IoT in this field.
The operations of many supply chains today are hampered by lack of integration between constituencies, in particular a lack of integrated real-time data. This project will provide a demonstration platform that integrates Internet of Things (IoT) and operational data to illustrate efficiencies gained.
Calling undergraduate students at the University of Sheffield interested in technology and the Internet of Things! Paid summer internship opportunities available (working from home) - apply by 20th May 2020.
To reduce inefficiencies across an increasingly complex digital economy, this project aims to build a decentralised platform that enables automated and accurate IP payment handling from licensees to licensors.
Despite our fourth Sheffield IoT Meetup - Industry 4.0 and Smart Manufacturing - coming at a time of great uncertainty across the globe, we were thrilled to see so many members join our new online platform to continue exploring the opportunities IoT presents for smart manufacturing.
‘IoT for care’ is an emerging field that faces its own specific barriers as well as those common to all IoT domains. This project draws upon experiences of those at the forefront of the field to develop resources and plot a course towards widespread adoption of IoT for care.
Developing simple IoT-derived visualisations to support children to maintain healthy activity levels, identifying opportunities for integration of existing programmes and IoT solutions.
Developing an IoT platform for capturing and analysing data from sleep studies, improving convenience for the patients and reducing time and costs for the NHS.
Students from Sheffield Engineering Leadership Academy (SELA) share their recent experience at the Smart Factory Expo, improving their understanding of the current innovations in industry surrounding data and the Internet of Things to inform future SELA projects.
Developing an IoT predictive maintenance solution for legacy manufacturing processes to reduce costly manual inspections for SMEs.