ICs data analytics tools are based on CI algorithms that mimic human information processing and reasoning mechanisms for processing complex and uncertain data sources. Our underlying data processing and modelling are based on patented deep learning algorithms. Fuzzy systems are also used for approximate reasoning and modelling of qualitative and uncertain data. These approaches can extract insight and meaning from the data offering integrated pattern recognition and predictive modelling capabilities, which can be applied to a variety of application domains. Our solutions can be adapted to offline and online data processing and control requirements which can further be optimised to domain dependent constraints and dynamics.
Personalised Health Services
IC’s Personalised health services can benefit patients and clinicians by providing optimised health information and recommendations based on individual and population based profiling using advanced data analytics algorithms. Gaining better insight into an individual’s healthcare needs can be used to provide tailored treatment and therapy intervention recommendations. The monitoring and delivery of these services though personal, mHealth and Internet of Things applications will help to empower people to manage their health and life style more effectively owing to reduced healthcare costs. IC’s computational health informatics solutions can be used on large population based data through the development of interpretable decision support models for supporting effective health policy and intervention planning.
Data Visualisation and Interpretation
IC has developed tools and methodologies to provide personalisation and contextualisation for domain specific data visualisation and interpretation tools including information retrieval and contextually sensitive information filtration. Context and task oriented presentation of retrieved content can be based on understanding user information needs. Decision modelling will be used to intelligently tune and optimise recommendation of user and context relevant information. Context-aware visualisation will help to reduce the complexity and cognitive burden on interpreting large volumes of data by providing relevant information to different stakeholders.
Biometrics and Surveillance
Biometrics security is concerned with identifying humans based on their unique physical and behavioural traits. Physical traits mean the features of the human body such as fingerprint, DNA, Iris recognition, hand geometry, face detection, and recognition. Behavioural traits mean voice, gait and typing rhythm including digital signature. In these days, biometrics security measures are increasingly investigated and being used in several applications based on these traits. The applications of biometric security are growing in public areas. For example, sensor and surveillance cameras are embedded in the environment ubiquitously. Surveillance cameras are used to monitor traffic flow, threats, and suspicious activities in order to support government and law-enforcement agencies. They play a vital role in security issues as they are widely deployed in public places to prevent or investigate crimes and to detect a suspicious person in order to make the environment more secure. IC’s computational intelligence methods can help to classify physiological and behavioural traits to effectively identity suspicious and abnormal behaviour for various applications such as vehicle theft, crowd surveillance and monitoring and analysis of driver physiological responses for vehicle assistive systems.
Smart City and Internet of Things (IoT)
IC delivers high-tech solutions for smart city to deal with traffic congestion, management and optimisation. Our solutions are based on a novel patented technology integrated with IoT and various other data sources. The patented technology is based on advanced deep learning algorithms which facilitates the development of a truly integrated inter-modal transport system that maximises efficiency gains, improves asset management and enhances the customer experience. The technology has a proven track record to model and predict traffic congestion, visualize real time and historical traffic/transport data. The data analysis and integration tools developed by IC underpin the effective delivery of a number of emerging and potentially transformative technological developments, i.e. Intelligent Transport Systems (ITS) including telecommunications and space systems, Smart Cities, Mobility as a Service (MaaS), and Connected and Autonomous Vehicles (CAV).
Applications and case studies
Fault Detection and isolation for embedded industrial control applications