Internet of Things (IoT) enhanced Factory Cleaning

This project is externally funded by the EPSRC

Food and drink manufacturing contributes £28bn to the UK economy annually (Food and Drink Federation, 2017), yet up to a third of working time is spent cleaning, significantly affecting productivity and efficiency.   

This project will perform fundamental science in two areas. The first will investigate the capabilities of different supervised machine learning methods to detect the presence of different types of allergens in food materials. The second will investigate the effective and responsible collection, use and visualisation of cleaning and allergen detection data from cleaning robots within a factory environment.The project will engage with multiple food manufacturers ranging from SMEs to multinationals, to determine their requirements for responsible and effective cleaning data collection, visualisation and use

 

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