Whether railway stations, ports or airports, transport hubs are strategic locations where millions of people and vehicles cross paths every day. They are essential to the smooth running of modern cities and economies. However, they also face major challenges, including safety, efficiency and flow management.

Major challenges facing transport hubs

Transport hubs, as nerve centers, face significant obstacles. The "manual" surveillance of vast areas is often hampered by inefficient processes, leading to major problems:

• Safety: transport hubs are places prone to accidents, regroupings, abandoned luggage, fires...
• Efficiency, with reduced waiting times, optimized field interventions...
• Flow management: transport hubs need to be able to manage the flow of people and vehicles smoothly and safely.

Computer vision for transport hubs

Computer vision is transforming physical environments far beyond simple automation. By combining artificial intelligence and image processing, computer vision enables machines to see, understand and react in the same way as the human eye - but continuously, non-stop.

Its applications are numerous: logistics, retail, smart cities... and of course, transport hubs.

In these high-traffic locations, it becomes a real performance lever, with concrete impacts on several levels:

• Enhanced security
  Platforms like XXII's CORE integrate advanced detection systems to monitor sensitive areas in real time.
  → Detection of people on the ground, outbreaks of fire, unusual gatherings... Alerts are instantaneous, responses immediate.

• Optimized operational efficiency
  Computer vision continuously analyzes passenger and goods flows.
  → It anticipates congestion, smoothes loading/unloading phases and optimizes the use of equipment such as forklifts.

• Dynamic flow management
  By analyzing movement patterns and saturation zones, teams can adjust their resources in real time.
  → CORE from XXII offers a clear, actionable view of trends, for more reactive and strategic planning.

Computer vision doesn't just see: it helps you decide, anticipate and act more intelligently, in an environment where every minute counts.

Measure, analyze, improve: KPIs at the heart of performance

Thanks to its Dashboard, CORE provides a series of essential KPIs for steering and improving the performance of transport hubs.
Among the indicators monitored are

• incident detection time,

• alert accuracy,

• reduction in response times,

• and changes in risk behavior.

These data enable continuous assessment of operations, leading to improvements in safety, efficiency and overall site management.

Concrete use cases to enhance performance in the field

CORE adapts to the needs of transport hubs with concrete, directly operational solutions.

It enables smooth traffic management, anticipates congestion and optimizes travel flows.
On the logistics front, it reduces waiting times by automatically adjusting loading and unloading schedules.

CORE also provides real-time monitoring of equipment (forklifts, heavy machinery), guaranteeing safety, availability and proactive maintenance.

Space planning can be rethought thanks to the data collected, for more efficient organization.

In terms of safety, CORE keeps a constant watch: detection of people on the ground, fire outbreaks, suspicious groupings, forgotten objects, intrusions... even isolated areas are monitored.

Last but not least, the platform monitors compliance with PPE regulations, to guarantee safe working conditions at all times.

Spotlight on CORE at the SNCF

As part of its collaboration with SNCF, XXII is deploying its computer vision technology on a large scale, through two strategic European projects: Prevent PCP and VIESTA.

🔹 Prevent PCP
This project aims to automatically detect abandoned luggage, both in stations and in areas of large gatherings.
Thanks to CORE, suspicious objects are spotted in real time, with a detection rate of over 90%. Several SNCF stations are already benefiting from this system, which is currently being deployed.

🔹 VIESTA
Another major project: an AI embedded directly in SNCF railcars.
Objectives:

• detect on-board incidents (fires, breakdowns, intrusions),

• optimize passenger flows to avoid congestion,

• ensure predictive maintenance, by identifying weak signals before a problem occurs.

An exemplary collaboration for the future of transport

The partnership between XXII and SNCF illustrates the transformative potential of computer vision in public transport.
It enables SNCF toinnovate in terms of safety and operations, while providing XXII with a concrete showcase for its know-how.

A further step towards safer, more efficient... and truly intelligent transport hubs.