Remote Monitoring

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.

Sensors

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.

Solutions

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.