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Challenge / Goal

Renfe, passenger and freight rail transport company and a benchmark in the mobility sector in Spain, had difficulties such as:

  • Estimating fraud at station accesses.
  • Lack of knowledge of the passenger profile (gender, age, luggage).
  • Measuring the number of passengers with personal mobility vehicles (bicycles, scooters, etc.)
  • Dimensioning correctly the service according to the profile of travelers, luggage or personal mobility vehicles.
  • Ensure the safety of travelers during COVID (social distance, use of masks).
  • Act with the necessary speed in the event of security events (fights, riots, falling into the track box).


The new system will allow the company's security to make better decisions, thanks to the integrated dashboard with real-time data. 

Thanks to this intelligent security system, it will be possible to know what is happening in the stations in real time. For example, through the analysis of the influx, if necessary, more staff can be directed to the stations that need it at any given time. It will also be possible to automatically detect incidents related to security such as people and objects falling onto the roads, fires, acts of vandalism or fraud in accessing services.

The system collects images from the stations that are integrated into a video analytics system, where they are processed and analyzed with artificial intelligence algorithms. Subsequently, the processed images are removed from the system in a matter of milliseconds. 

To implement these solutions, Renfe has contracted one of the leading companies in image intelligence and analytics technologies, Imotion Analytics.



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    Main benefits

  • Enhanced safety and security

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