Connected Autonomous Mobility

Plextek developed a bespoke BLDC motor control solution for connected fitness equipment, delivering exceptionally low torque ripple and seamless system integration.

Plextek's automated transfer learning approach generates labelled thermal datasets using colour camera AI models, eliminating costly manual annotation.

Developing AI-based RF signal classification systems, from algorithm development through to embedded real-time processing solutions

Concealed object detection for real-time parcel security screening with mmWave sensor design and manufacture, and real-time AI processing

Enhancing Mobile Ad-Hoc Network Routing with GNN-Driven DRL Agent: Improving Packet Delivery and Adaptability in Dynamic Environments

See how Plextek is optimising radar training using automating data labelling & machine-assisted machine learning

Learn how we boost accuracy in Visual Scene Matching with Semantic Segmentation, aiding navigation and tracking in dynamic environments.

Discover how our technical expertise in inductive coupling facilitated Emerson in setting industry benchmarks for efficiency and reliability in harsh environments.

Developing a groundbreaking ML model for swift and efficient coverage prediction in complex urban environments, enabling rapid optimisation of transmitter locations on standard computing hardware.

Leading a transformative four-year research initiative to improve mobile ad-hoc networks through advanced directional antenna systems and cross-layer processing, significantly enhancing military communication capabilities.

Using innovative expertise in metamaterials to facilitate the development of advanced surfaces, improving RF communication efficiency through pioneering surface wave technology for superior antenna design and wireless connectivity.

Innovating a new Armour Integrity Monitoring System (AIMS) for the UK MoD, delivering a low SWaP-C solution that dramatically streamlines logistics and enhances protection through in-field armour integrity checks.