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An automated rail compensation app for delayed commuters, the RailHero app was launched to help passengers get the reimbursement they are owed in the event of train delays and cancellations.

In total, 47 million rail journeys were either cancelled or significantly late in 2018, according to research by Rail Hero, and commuters missed out on 60% of eligible delay compensation amounting to £120m.

Previously, commuters could only claim compensation by filling in forms but with the help of the app, they only need to take a picture of the ticket and the RailHero algorithm validates and sends the claim to the rail company.

The software company uses an automated delay repay validation API to provide real-time delay information accurately. Users can get compensation back via their preferred payment method along with real-time updates about the claim.

Founded in 2016 initially as a think tank from the Warsaw University of Technology, Hyper Poland develops a hyperloop-inspired technology called ‘magrail’ which allows vehicles to move up to 415km/h on existing railway infrastructure.

It has already built a prototype and a 1:5 scale test track, the demonstration for which took place in October 2019 in Warsaw. Eventually, the startup plans to build tracks which will allow trains to travel at 1,200km/h.

The start-up aims to begin the construction of a full-size test track of the magrail system in the second half of 2020 in Żmigród and plans to implement the first pilot in 2023. Once built this project will reduce travel time between Krakow and Gdansk to 35 minutes.

Following an investment of €334,000 in 2019, Hyper Poland will be launching a crowdfunding campaign on Seedrs in 2020 which will aid in the development of the hyperloop technology and the acquisition of land.

A facial recognition software could spell the end of railway ticket barriers and their associated queues in the UK. The technology can boost national security and border control, biometric company Customer Clever said in a statement.

Developed by the Bristol Robotics Laboratory, the technology uses two near-infrared lights flashing at high speed to help a camera to capture the shape, texture, and orientation of people.

The technology would enable passengers to simply walk past the cameras and into the Tube after they have been scanned and registered. Staff would be alerted about those crossing the line without payment.

Lyndon Smith from Bristol Robotics Laboratory said in a statement: “If you can get rid of the gate lines in a place like Victoria station, there’s a massive potential for increasing throughput. We ran an interesting project for them, which they’re now installing at their laboratory in Salford and the aim is to move it on to the [London] Underground.”

After securing funding from the Railway Safety and Standards Board, it is now working with Cubic Transportation Systems, the company that created London’s contactless Oyster Card ticket.

In addition, the start-up aims to integrate ticket payment through passengers’ fingerprint or eye scan in the future.

Boston-based start-up RailPod’s aim is to make global rail infrastructure safer, cost-effective and efficient through the use of automated inspection drones.

RailPod’s drones perform daily track inspections with the help of advanced sensor technology and a cloud-based data processing service, providing real-time information to operators about track conditions.

Its inspection tool can be operated with a wireless remote control or configured for autonomous applications.

The goal for the company entails creating “real-time analytics to help predict maintenance issues and prevent train derailments,” it said in a statement.

The RailPod vehicle coupled with its web-based software gives immediate access to inspection reports, including data on track geometry, rail wear, overhead catenary, asset mapping, and broken rail detection.

According to the start-up, using its drones for inspection instead of a human workforce would significantly reduce the risk, time, and cost of accessing remote areas.

Neuron Soundware works with artificial intelligence to detect malfunctioning machines using audio signals.

Its technology analyses sounds that railway machinery makes and recognises anomalies, known issues and mechanical malfunctions.

The Czech company offers predictive maintenance, real-time mechanical issue detection, and remote equipment diagnosis.

One of the ways it has been used in the railway industry is through flat-wheel detectors in trains and trams.

Some past projects include escalator issue detection and predictive maintenance in train stations for Deutsche Bahn and acoustic-based diagnosis of point machines for Siemens Mobility. For the latter, it was able to tell the suitable force needed to move the rail based on the sound and provide information about the machine condition to the operator.