With the proliferation of sensors across the world, from IoT devices to Earth-observation satellites, huge amounts of data are being generated which monitor a wide range of applications. From environmental data to industrial applications, being able to remotely monitor these applications is an important task, and one which benefits from algorithms which can automatically detect change or anomalies.
We have a wealth of experience in developing automatic, robust solutions for the remote monitoring of a range of environments and applications. This requires the ability to work with a large deployment of small-scale, simple sensors through to the complex processing requirements of wide-range sensors, producing robust, reliable and usable monitoring solutions which allows users to focus on their needs.
We understand sensors in-depth, and have substantial modelling capabilities for all electro-optic sensors (visible waveband through to thermal imagers), which allows us to bring additional insights as we design high-performance algorithms for such input sources. Multispectral and hyperspectral imagers, fused systems, and active sensors such as LIDAR, burst illumination laser, mmW sensors and many different types of radar (e.g. SAR, GPR) are also familiar to us, and members of our team have presented papers on algorithms and systems successfully designed and deployed for these input data.
D-CAT has also worked extensively with satellite data including synthetic aperture radar data from Sentinel-1, multispectral data from Sentinel-2 and Landsat 8, temperature data from Sentinel-3, weather data from a number of sources, and a range of bespoke sensors from IoT technology to hyperspectral cameras mounted on drones. Whilst being sensor experts, we're sensor-agnostic in our approach and abilities to design effective algorithms using sensor data.
Beyond being able to process complex and varied data sources, we have a strong core of software development expertise which consistently delivers bespoke solutions for customers that enable them to easily view and interrogate processed data. This includes web-based platforms and mobile applications which bring complex data sets to where the users need access.
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
Manulis, M., Treharne, H., Newton, C., Casey, M.C. (2020) "Beyond Passwords: the Future of Web Authentication" New Statesman Spotlight: Cyber Security: Adapting to the Pandemic
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
Sallal, M., Schneider, S., Casey, M., Dragan, C., Dupressoir, F., Riley, L., Treharne, H., Wadsworth, J., Wright, P. (2019) "VMV: Augmenting an Internet Voting System with Selene Verifiability" arXiv:1912.00288 [cs.CR]
Whitefield, J., Casey, M.C, Chen, L., Giannetsos, T., Newton, C., Sasse, R., Treharne, H., Schneider, S., Wesemeyer, S. (2019) "Direct Anonymous Attestation in the Wild" Real World Crypto Symposium 2019 contributed talk Download
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
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
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
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
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
Alsudani, F., Casey, M.C. (2009) "The Effect of Aesthetics on Web Credibility" Proceedings of the 23rd BCS conference on Human Computer Interaction (HCI 2009). Cambridge, UK Download
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
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