The Covid-19 pandemic has increased the need for effective and accessible mental health support. Delivery of mental health support must also change to maintain levels of care during periods of disruption to service and limited physical access to support.
Smart energy systems will play a key part in supporting the UK to meet its carbon emissions target by 2050. To enable this, easily accessible monitoring data is required in order to make operational decisions. This project aims to clearly identify, demonstrate and document these approaches in order to overcome key difficulties.
This project aims to adapt already existing work with manufacturing partners to create a digital transformation strategy blueprint for manufacturers. The project will identify key factors influencing successful formulation of IoT digitalisation strategy, including strategy formulation roles, organisation and environmental setting and B2B customer experience.
A number of challenges exist in the creation of a system to map the status of global healthcare. This project aims to determine the challenges and barriers of accepting and adopting a proposed infrastructure.
The University of Sheffield and engineering manufacturer Tinsley Bridge have been pioneering new approaches to industrial Internet of Things (IoT) applications through the innovative Pitch-In project.
There are over three billion litres of water leaks per day in the UK. This project will explore the possibility of developing a self-sustaining and non-intrusive wireless smart water meter for detecting and reducing leakage through flow and pressure monitoring.
IoT related companies face challenges in defining and including related products and services, as well as challenges addressing barriers and business settings. This project aims to survey the IoT company ecosystem by reviewing and extending the already existing IoTUK Nation Database to capture IoT specific information.
The vision of the project is to build a network of organisations interested in IoT platforms and strategy. The project will focus on developing training in IoT and platform strategy for the network.
In this project, we aimed to explore IoT-enabled mechanisms that can be used to capture information on greenspace biodiversity specifically looking at sound-scape information. IoT-enabled mechanisms have the potential to significantly reduce the costs of data collection as well as leveraging citizen science, so allowing local governments to incorporate biodiversity into planning and design of green spaces.
The mini-project will develop a demonstrator which integrates a large, representative automotive component and shows that IoT can bring together the information regarding part geometry, materials and surface information to enable the right printing path, speed and surface preparation