Reduce AI innovation risks and exceed product development goals.
Intelligence, surveillance and reconnaissance - target acquisition and battlefield simulations optimised with deep learning
Autonomous systems - computer vision-based automatic mission support services
Chemical analysis - ML trained models for contaminant detection and spectroscopic analysis
Fault prediction & prevention - cutting edge modelling at both device and system level
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Project descriptions
Military-grade DPV detectors
Working with petabytes of data, we created a comprehensive training pipeline capable of detecting and differentiating drones, people and vehicles.
Target tracking and re-identification
Combining information from multiple sources (thermal cameras, visual light cameras, motion detectors) we helped our client deploy a fully integrated surveillance system.
Automatic payload monitoring system
We developed a GPU-accelerated method which automatically detects which equipment payloads (fuel, ammunition, etc) are being loaded onto an UGV to support military.personnel.
Unified battlefield system
By integrating multiple sources (visual light & thermal camera, radar, motion detectors, target tracker and classifiers) we created an easy to use, holistic surveillance and battlefield observation system.
Self improving surveillance system
Self-improving surveillance system
Using both temporal and spatial consistency analysis we created an ML module which analyses its own decisions in real-time for re-training and self-improvement.
Chemical analysis
An ML segmentation model was trained to detect reacted surfaces on military transport vehicles, thereby detecting chemical contamination which was then displayed via a military grade VR helmet
