As experts in sensor and imagery data, we recognise the need for multi-sensor and data solutions, whether due to coverage requirements, demanding revisit times, insights which need multiple wavebands, or a whole range of other good reasons. Our innovative Fusion Platform® solves the problem of how new processing solutions involving different input sources can be rapidly configured and delivered, at scale and in different forms, to suit business needs.

The Fusion Platform® provides D-CAT and our customers with a powerful point of differentiation, enabling us to curate services that exactly meet the needs of our clients, delivering automated services based on multiple input sources. This fusion approach provides complete flexibility to design and build any number of software services using different sensor and data sources, processing algorithms, and delivery mechanisms (e.g. API, alert).

Part of the power of our Fusion Platform® approach is our commitment to incorporate the algorithms of other specialist partner developers, or our customers, into our services, offering an Algorithms-as-a-Service (AaaS) capability. This enables highly specialist algorithms to be curated into a service on their own, or be combined with D-CAT algorithms into a more tailored service.  All of this being delivered via a secure, scalable and high availability platform. 

Armed with this capability, D-CAT is in a uniquely differentiated position to support our clients to rapidly prototype the services they need, exploring potential options over price and  performance.  Our clients are safe in the knowledge that the service they select can scale and be delivered via API. As evidence that this approach is working, we are delighted that the Fusion Platform® has been recognised by the European Space Agency as the platform to demonstrate and deliver high value agriculture data intelligence services for yield prediction, frost damage detection and weed detection for agriculture for clients in Australia.

An example of where D-CAT’s Fusion Platform® delivers measurable value is the opportunity to improve wheat yield prediction.  By fusing multispectral optical imagery and synthetic aperture radar imagery we use the very different features of each sensor to improve the prediction performance of the algorithm. This is just one example of the many applications that need this automated, secure, scalable and affordable AaaS approach.

Case Studies & News

Capabilities

Publications

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., 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

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

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

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


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