Our team brings together expertise in spectral and data science, mathematics, data fusion, leading-edge research and robust software development which enables us to develop innovative solutions and new algorithms to solve customer problems. Our value is in bringing all of this expertise together to produce robust solutions which deliver value-for-money.
We work closely with customers to understand their needs and to gain a deep understanding of the problems that they face and what type of solutions they require. Building on this understanding, and in close cooperation with customers, we design and tailor advanced processing algorithms to bring insight and help solve their problems.
Our team has a range of expertise and experience. We have a deep understanding of data processing and analytics. We have worked extensively with machine learning techniques over a number of years, with a range of published articles on leading-edge approaches. Sensor systems across the spectrum are well known to us, and that understanding, together with atmospherics, allows optimised image processing algorithms to be developed. When combined with our data and image fusion experience, further performance and operational gains can be delivered.
We have worked with a range of clients across industries, including those in defence and intelligence, universities, cyber-security, marketing and retail, agriculture, energy and utilities. Each client brings their own unique perspective and challenges, and hence our solutions are tailored exactly to their needs.
Our team has the knowledge and tools to develop solutions rapidly. We can quickly tap into an array of data sources and technologies to iteratively develop solutions. Working closely with customers, we gain feedback on our approach and focus our effort on what the customer needs.
We can deliver solutions which range from a detailed study of the available data, possible solutions and initial evaluation through to production-capable software solutions which can be deployed to customer systems at scale. These solutions employ a range of techniques including detection, classification, prediction and fusion algorithms.
Through our innovative Fusion Platform®, we can deliver algorithms quickly for use by customers so that algorithms can be run on demand or in response to key events without the need for customer infrastructure.
Smith, M. (2020) "Making the most of your IoT data: Next-generation cloud systems for trusted, provable service delivery" Water RA webinar series on Digital, Data & Sensors, focusing on the Internet of Things, 22/09/2020 Download
Scarles, C., Treharne, H., Casey, M.C., Abidin, H.Z. (2020) "Micro-mobilities in Curated Spaces: Agency, Autonomy and Dwelling in Visitor Experiences of Augmented Reality in Arts and Heritage" Mobilities
Choudhary, T.R., Ball, D., Ramos, J.F., Stefansson, E., Harvey, A.R. (2019) "Remote Sensing of Blood Oxygenation using Red-eye Pupil Reflection" Physiological Measurement, 40 12NT01
Hickman, D.L., Smith, M.I., Lim, J., Jeon, Y. (2018) "Modelling of Celestial Backgrounds" Proceedings of SPIE 10641, Sensors and Systems for Space Applications XI
Al-Khalili, J., Smith, A., Sen, P. (2017) "Gravity and Me: the Force that Shapes our Lives" BBC 4 science programme using an iOS and Android app to measure local relativity effects
Treharne, H., Casey, M.C., Schneider, S., Wesemeyer, S., Ross, T., May, A., Blainey, S., Pritchard, J. (2016) "Integrating Data Sources to Enhance the Experience for Passengers with Special Needs and/or Disabilities through Privacy Aware Mobile Applications" Data to Improve the Customer Experience, RRUKA, 20/09/2016 Download
Arscott, D., Venturini, B., Cheong Took, C., Templeton, M., Babatunde, A., Casey, M.C. (2016) "Delivering Water Security for All During Shale Gas Production" A report co-funded by Innovate UK, DECC and NERC and undertaken by the PyTerra Research Consortium Download
Hickman, D.L., Smith, M.I. (2016) "Mathematical Modeling and Validation in EO System Development" SPIE Press Book
Hickman, D.L., Smith, M.I. (2015) "The Use of Algorithmic Behavioural Transfer Functions in Parametric EO System Performance Models" Proceedings of SPIE 9648, Electro-Optical and Infrared Systems: Technology and Applications XII; and Quantum Information Science and Technology, 964807
Ioannou, P., Casey, M.C., Grüning, A. (2015) "Spike-Timing Neuronal Modelling of Forgetting in Immediate Serial Recall" Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2015. Killarney, Ireland: IEEE Download
Parker, S.C., Hickman, D.L., Smith, M.I. (2015) "Real-time Processing of Dual Band HD Video for Maintaining Operational Effectiveness in Degraded Visual Environments" Proceedings of SPIE 9471, Degraded Visual Environments: Enhanced, Synthetic, and External Vision Solutions 2015
Ramos, J.F., Brewer, L., Gorman, A., Harvey, A. (2014) "Video-Rate Multispectral Imaging: Application to Microscopy and Macroscopy" Classical Optics 2014
Smith, M.I., Casey, M.C. (2012) "Solving the Big Data Problem - Smart Ways to Work Together" Big Data: Turning Big Challenges into Big Opportunities, IET Seminar, 05/12/2012 Download
Casey, M.C., Pavlou, A., Timotheou, A. (2012) "Audio-Visual Localization with Hierarchical Topographic Maps: Modeling the Superior Colliculus" Neurocomputing, vol. 97, pp. 344-356, doi: 10.1016/j.neucom.2012.05.015 Download
Barfoot, K.M., Casey, M.C., Callaway, A.J. (2012) "Combined EEG and Eye-tracking in Sports Skills Training and Performance Analysis" World Congress of Performance Analysis of Sport IX. Worcester, 25-28 July 2012 Download
Casey, M.C., Yau, C.Y., Barfoot, K.M., Callaway, A.J. (2012) "Data Mining of Portable EEG Brain Wave Signals for Sports Performance Analysis: An Archery Case Study" International Convention on Science, Education and Medicine in Sport (ICSEMIS 2012). Glasgow, 19-24 July 2012 Download
Casey, M.C., Hickman, D.L., Pavlou, A., Sadler, J.R.E. (2011) "Small-scale Anomaly Detection in Panoramic Imaging using Neural Models of Low-level Vision" Proceedings of SPIE Defense, Security, and Sensing Conference 2011 on Enhanced and Synthetic Vision, volume 8042B. SPIE, Florida, 25-29 April 2011 Download
Casey, M.C., Pavlou, A., Timotheou, A. (2010) "Mind the (Computational) Gap" Proceedings of the UK Workshop on Computational Intelligence (UKCI 2010), Essex, 8-10 September Download
Bamber, D.C., Page, S.F., Bolsover, M., Hickman, D.L., Smith, M.I., Kimber, P.K. (2010) "Adaptive Image Kernels for Maximising Image Quality" Proceedings of SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 769608
Heather, J.P., Smith, M.I. (2010) "New Adaptive Algorithms for Real-time Registration and Fusion of Multimodal Imagery" Proceedings of SPIE 7689, Enhanced and Synthetic Vision 2010, 768908
Heather, J.P., Smith, M.I., Sadler, J., Hickman, D.L. (2010) "Issues and Challenges in the Development of a Commercialised Image Fusion System" Proceedings of SPIE 7701, Visual Information Processing XIX, 77010A
Pavlou, A., Casey, M.C. (2009) "A Computational Platform for Visual Fear Conditioning" Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2009. Atlanta, Georgia: IEEE Download
Steer, C., Rogers, J., Smith, M.I., Heather, J., Bernhardt, M., Hickman, D.L. (2008) "Advances in Image Registration and Fusion" Proceedings SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 697404
Casey, M.C. (2007) "Sensible Machines" Financial Sector Technology, vol. 13(3), pp. 25 Download
Bernhardt, M., Heather, J., Smith, M.I. (2005) "New Models for Hyperspectral Anomaly Detection and Un-mixing" Proceedings of SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI
Dwyer, D.J., Smith, M.I., Dale, J.L., Heather, J.P. (2005) "Real-time Implementation of Image Alignment and Fusion" Proceedings SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005
Bernhardt, M., Smith, M.I., Whitehead, P.G., Hunt, L.N., Hickman, D.L., Dent, C. (2004) "A Statistical Sea-surface Clutter Model in the Long-wave Infrared" Proceedings of SPIE 5431, Targets and Backgrounds X: Characterization and Representation
Smith, M.I., Bernhardt, M., Angell, C.R., Hickman, D.L., Whitehead, P.G., Patel, D. (2004) "Validation and Acceptance of Synthetic Infrared Imagery" Proceedings of SPIE 5408, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing IX
Clare, P.J.C., Gulley, J.W., Hickman, D.L., Smith, M.I. (1997) "Design and Tuning of FPGA Implementations of Neural Networks" Proceedings of SPIE 3069, Automatic Target Recognition VII