Resources and Toolkits

Here you can access a number of different resources and toolkits designed to assist you in the adoption of IoT technology. They focus on addressing a variety of potential barriers across our focus sectors. These resources may be direct learning outcomes and best practice following completed Pitch-In projects, or they may signpost to wider resources and support available from our partners and stakeholders.

Disclaimer: To the extent permitted by law, Pitch-In provides this website and its contents on an “as is” basis and makes no representation or warranty of any kind regarding this website or any information, content, products or services on it. Pitch-In does not represent or warrant that the information accessible via this website is accurate, complete or current. In no circumstances, to the extent permitted by law, shall Pitch-In or any of its partners be liable for any loss, additional costs or damage (howsoever arising) suffered as a result of any use of this website or its contents.

Please note: the project specific resources will be developed and added to over the coming months as the first projects begin to disseminate their findings.

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Technology is harnessing the power of the Internet of Things (IoT) to enable doctors to study sleep disorders remotely and without the need for a child to wear lots of sensors.

An introduction to the IoT4 Healthy Sleep Project where ACSE researchers are developing pioneering new technology that will transform how doctors can assess sleep disorders in children.

This software demonstrator, IoT based Smart Supply Chain Automation Demonstrator, was presented to an industrial audience through an organised webinar. It attracted many industrial attentions and has been covered by several news outlets.


Performance and lifetime testing of batteries requires considerable effort and expensive specialist equipment. A wide range of potentiostats and battery testers are available on the market, but there is no standardisation of data exchange and data storage between them.

To address this, we present Galvanalyser, a battery test database developed to manage the growing challenges of collating, managing and accessing data produced by multiple different battery testers. Collation is managed by a client-side application, the `Harvester’, which pushes new data up to a PostgreSQL database on a server. Data access is possible in two ways: firstly, a web application allows data to be searched and viewed in a browser, with the option to plot data; secondly, a Python application programming interface (API) can connect directly to the database and pull requested data sets into Python. We hope to make Galvanalyser openly available soon. If you wish to test the system, please contact us for early access.

This report is an outcome of the Pitch-In project: Batteries and Big Data

The video summarises the results of the Breaking social barriers to the use of IoT for mental health Pitch-In project exploring the possible roles and some of the pitfalls of digital tools for improving mental health: the potential is huge – let’s do it right!

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