We take a systematic approach to understanding how to solve customer problems. By focusing on the data which is available and the insights they bring, we develop and apply a range of algorithms to extract the knowledge that is required by our customers.
With a deep understanding of a range of algorithms and techniques, from probabilistic modelling to machine learning, we can select the best approach to solve the problem at hand. This means we can quickly select the right technique for the job from our portfolio of algorithms, or design a new algorithm tailored to meet your needs. Our continual investment in our own R&D builds an ever-increasing range of innovative, unique solutions which are then available through our Fusion Platform for any customer.
We have detailed expertise in statistical classifiers and regressors, neural networks and deep learning, with a track record of publication on a range of techniques and their fusion. In addition, image enhancement, restoration, stabilisation, segmentation, mosaicking, super-resolution, and other image processing techniques are well known to us and have been applied across a wide variety of sectors to bring improved imagery and outcomes. Detection, recognition, identification and tracking problems are also very familiar to us, and the means of solving them to best suit a customer's need.
Having worked with a wide range of data, including visible-band, multispectral and hyperspectral imagery, active sensor imagery, point clouds, acoustic signals, time series, structured and unstructured data, we know how to apply the correct processing techniques to put us in the best position to extract the insight required.
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
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
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
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
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., 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
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