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.

HMS Caroline

Voyage AR – HMS Caroline Augmented Reality Experience

A new augmented reality experience highlighting HMS Caroline’s heritage.

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.

People cycling using Belfast's public bike hire scheme, Belfast Bikes.

Using machine vision to manage active travel routes in Belfast

This pilot is looking at how machine vision and machine learning can help to identify obstacles along Belfast routes that can reduce the capacity for more active travel.