Video Analytics for Underground Train Safety

Video Analytics for Underground Train Safety

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The number of train passengers who die or get injured in underground trains is relatively low. The most dangerous moments for them are when they get on and off trains at platforms. Gap falls, and ‘trap and drag’ scenarios can now be detected more accurately.

A new intelligent video analytics technology onboard underground trains and on platforms could provide real-time information to train drivers and other staff when there are passengers in certain risk areas before it’s too late.

Lancaster University researchers developed the technology that could help trains run on time and improve safety at metro and train platforms.

According to, the system uses a new intelligent video analytics technology that Lancaster researchers developed with Digital Rail, a rail safety technology SME.

The technology can autonomously detect objects that stand out in the background. It can detect, for example, bicycles, luggage, pushchairs, mobility scooters, and people. It estimates their position in relation to the coach doors, rails, and the yellow line on the platform. The technology then processes this data across several different cameras along a platform within trains. Staff and passengers subsequently have valuable information in real time.

The system knows when passengers have moved between the yellow line on the platform and the train. It alerts drivers and shows them at which door the potential problem is happening. Drivers and rail staff can use this information to check the relevant platform and train cameras to see whether anybody is trapped.

This analytics technology can also measure how busy specific carriage doors are while the train is moving. In other words, before the train arrives at a platform. There are cameras inside the carriages that identify how many passengers are waiting to alight.

The system uses the cameras on the platform to determine how many passengers are waiting for the train to arrive.

By combining the data from the two sets of cameras, the analytics technology can predict which doors are likely to be busy. It can also tell which doors are likely to offer passengers smoother boarding.

Learn more about various applications of smart video analytics at the coming VIdeo Analytics Conference and Exhibition on December 19, 2019 at the Lago Conference Center, Rison LeZion.

Booth/ sponsorship/ presentation:  [email protected]   Ofir +972-54-6742036

For registration and details