Belfast City Council worked with local SME WeaveLabs on a collaborative urban waste pilot project that aimed to use data from bin sensors to predict how quickly litterbins fill up, and how variables such as public holidays or weather might affect this.

The pilot helped the council to better understand how litter bins are being used and how information generated could provide predictive modelling to make litter bin collections on our streets more efficient, saving resources and ensuring optimal bin collection routes. The project also helped to inform the council about suitable locations for litter bins and the appropriate types and number of bins that are needed in a particular area.

Belfast Skyline

Using machine learning to support business rates collection

We explored how data analytics and machine learning can maximise the accurate collection of business rates, as well as maintain an up-to-date register of businesses in the city.

Belfast Innovation Commissioner, Adrian Johnston

New Belfast Innovation Commissioner appointed

Dr Adrian Johnston MBE has been appointed as Belfast's new Innovation Commissioner.

Belfast Harbour in UK first for 5G technology, using AR and VR

BT brings 5G future to Belfast Harbour with live demonstrations of augmented and virtual reality.