Hack Partners Limited

Experimental development of novel computer vision algorithms that will lead to a fully automated and autonomous system for inspection, managing and reporting defects temporally on Great Britain's railways.

Automating today's manual processes associated with access right management and spot bidding and wrapping these digital processes in an intuitive, integrated, modern, bespoke and scalable user system. The benefits of this innovation are not only cost efficiency but also enabling a much better experience to freight customers to drive modal shift.

During phase 2, Hack Partners Limited will build on the IoT sensor and geospatial data model developed in phase 1, to develop a prototype product (which houses the phase 1 research and development) and test and validate this prototype in the real-world. End users will have a tool to help: * Better understand how delays propagate throughout the network and...

Public description We will use IoT sensor information and geospatial data to create a technology that will detect train movement at a more granular level. As a result, we will be able to understand in more detail where trains are on the rail network. This can technology can be used to: Better understand how delays propagate throughout the network Discover...

Hubble is an artificial intelligence assisted lineside inspection and maintenance planning solution helping the rail industry add more resilience to infrastructure and operations. Starting with lineside inspections for vegetation growth which continues to be an urgent priority for the railway leading to: - Delays and cancellations to passenger and freight...