We have established a reputation as a trusted partner by our customers. Working closely with them, we tailor solutions to exactly what is needed within the budget available. This ranges from small-scale data exploration studies through to large-scale bespoke developments which deploy complex algorithms to deliver data intelligence to users.

We work with customers all over the world to deliver the solutions they need. Our staff have a wide range of expertise and experience, including with leading technology consultancies at senior level, so that we are capable of working from a strategic level down to technical project delivery. Clients range from multi-national corporates to SMEs, government and research agencies, and our engagements can last from days to longer-term strategic partnerships over many years.

Approach

Our approach is very much to build long-term, trusted relationships with our customers. We like to start with small scoping or feasibility studies to help understand our customer's requirements so that we can focus on exactly what is required and demonstrate value-for-money. These smaller studies can then lead to deeper interactions and larger-scale work once trust and concepts have been proven.

Engagement

We have the expertise to undertake strategic studies, small-scale data exploration and solution feasibility studies, provide technology advice and bespoke training, develop mobile, desktop and cloud-based software solutions, or even to integrate and develop bespoke sensors.

Case Studies & News

Providing Cloud-Free Satellite Images

A review of options for managing clouds in optical satellite images

Most Earth Observation satellites use optical sensors to image the ground: that is, cameras that collect radiation in the visible (and often near infrared) band of the electromagnetic spectrum to create an image or set of images at several wavelengths. All suffer from the fact that clouds are highly reflective at such wavelengths, and so detail below clouds cannot be seen. This has driven research into processing techniques that "fill-in" detail below clouds as a means of dealing with the problem. Here we share our capabilities in this regard and discuss the pros and cons of approaches to handling clouds in images.

September 2023

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Predicting Crop Yield

Forecasting wheat production months before harvest

A strong and stable agriculture sector is important at a national level as a source of food, and beneficial as a source of economic gain through exports. Early prediction of harvest yields at national and regional scales is therefore important as an influencer of commodity trading pricies, a means of ensuring adequate food supplies, managing logistics, and as a component of balance of trade. At a smaller scale, accurate estimates of likely yields allow farmers to better manage budgets, plan seed retention versus sales, assist with insurance cover judgements, and crop management decisions through the latter part of the growing season. Crop yield prediction is possible using remote sensing from satellite imagery, and accurate predictions of wheat yield are shown below to be possible months before harvest.

March 2022

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Fallow Weed Detection

Saving costs, preserving moisture and reducing carbon footprint

Weed control is an important part of farming. Fallow weeds can hinder crop development if left untreated, using up valuable moisture which is scarce in many agriculture regions of the world. Treatments such as weed killer are expensive, often less effective if not applied at the ideal growth stage of the plant, and tend to be extensive across whole paddocks to ensure that no weeds survive before sowing (precision spraying devices remain large investments for most farmers). Wide area application can be avoided using a new service from D-CAT that affordably highlight weed patches in fallow ground and provide locations / mapped areas detailing where treatment is required. A cost calculator is also supplied along with percentage of the paddock to assist with the spraying decision.

February 2022

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Vegetation Indices

Monitoring Vegetation Growth

D-CAT offers a wide range of imagery-derived vegetation indices that are used in various applications, including agriculture monitoring, offering food producers and farmers invaluable insights to help them sustainably manage their crops and soil.

March 2021

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Capabilities

Algorithm Development

Advanced algorithms for smart processing

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.

 

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Data Analytics & Machine Learning

Detailed analysis using the most advanced techniques

Our core capability is being able to understand and exploit data from a variety of sources. This requires a systematic approach to data exploration, preparation and processing to achieve the desired outcomes. Our particular expertise is in finding and combining the right data to solve customer problems, whether that be from satellite imagery, IoT sensors or bespoke data soruces.

 

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Platforms & APIs

Robust cloud platforms and API solutions

Being able to extract insight from data is not enough to be useable by customers to solve their problems. Needed alongside clever algorithms is the ability to develop robust, secure and useable solutions which, for example, integrate with customer systems, or provide stand-alone systems which can be used by end users.

 

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Publications

Alsadi, M., Casey, M., Dragan, C. C., Dupressoir, F., Riley, L., Sallal, M., Schneider, S. and Treharne, H., Wadsworth, J. and Wright, P. (2024) "Towards End-to-End Verifiable Online Voting: Adding Verifiability to Established Voting Systems" IEEE Transactions on Dependable and Secure Computing

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

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

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

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