Our object detection system utilises the cutting edge in convolutional neural networks and deep learning to autonomously spot any passengers who might be in need of assistance.

PantoView is software that uses an end-to-end neural network to determine the acceleration of the pantograph head using only a video feed. It will minimise manual operations by reducing the need for manual checks and allowing longer maintenance periodicities.

Our object detection system utilises the cutting edge in convolutional neural networks and deep learning to autonomously detect bags and passengers, linking them together.

Utilising an intelligent vision system and the CCTV cameras currently in use on public transport, the number of passengers aboard a given tram are counted.

SEW is a tool that uses machine learning to highlight and quantify errors in the artifacts produced during complex product development and project delivery.

The Intelligent Vision System is able to spot a myriad of objects that are seen by train drivers. This includes speed signs, track workers, signals, tresspassers and other obstructions, all detected in real-time, using existing cameras placed on the train.

The Intelligent Vision System is computationally efficient in reducing data dimensionality in detecting objects on a train platform. It autonomously performs platform train interface (PTI) monitoring by detecting when a person or object is over the yellow line, helping to reduce vehicle dwell times.