This project investigated various ways in which low-cost condition monitoring systems, typically used in manufacturing, can be easily repurposed for non-critical IoT-based support in hospital environments.
Developing low-cost and open-source image recognition technology to enable people analysis within urban environments whilst ensuring compliance with privacy regulations.
Providing cost-effective IoT solutions to retrofit and upgrade existing CCTV networks in order to better understand our cities.
Utilising the Internet of Things to enable autonomous supply chain management - connecting existing research to review the technical feasibility of real life deployment and support industry adoption.
The project’s primary objective is to provide proof-of-principle that a low-cost health-monitoring using low-cost wearable sensors, recognising the infrastructure they are connected to, can be used to develop predictive monitoring systems for the early detection of patient deterioration in limited-resource settings.
This article gives an overview of the Smart Supply Chain Automation System demonstrator that will be available to view at Advanced Engineering developed by the Manufacturing Analytics Group via a Pitch-In project.
A summary of available funding calls relevant to the Digital/IoT sectors from across a range of funding bodies.
Up to £6 million funding to support new ideas that can help keep connected devices and applications safe and secure. The competition will develop new products and services that tackle cyber security in the Internet of Things.