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.
Budykho, K., Boureanu, I., Wesemeyer, S., Romero, D., Lewis, M., Rahulan, Y., Rajaona, F. and Schneider, S. (2023) "Fine-Grained Trackability in Protocol Executions" Network and Distributed System Security (NDSS) Symposium 2023
Miller, R., Boureanu, I., Wesemeyer, S., Newton, C.J.P. (2022) "The 5G Key-Establishment Stack: In-Depth Formal Verification and Experimentation" Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security
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
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