EMIA incorporates a number of innovations including:
1) State of the art machine learning and data analytics: EMIA utilizes state of the art computational intelligence techniques that are able to exploit data of high velocity in realtime. These techniques are able to deal with the inherent uncertainties and noise infected data obtained from the sensors.This technology is used for flood forecasting and computer vision purposes for IC and will form the computational backbone of EMIA’s AI modules. IC has patented this technology which is based on a novel biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (Patent No: PCT/GB2017/051019). This technique is capable of modelling complex multi-dimensional data sources to find correlations between different inputs (spatial), and how those different inputs vary in time (temporal). This technique has been used successfully in challenging application areas, providing state of the art results (e.g. driver assist systems, trafffic management, and other smart city projects), and its deployment in this project is a very promising and offers a low risk approach to address the data analytics requirements of the project.