Crowded platforms, busy airports, and packed buses — public transportation is the circulatory system of modern cities. But how do you keep that system moving safely and efficiently? Enter digital transformation in transportation: a mix of AI, edge computing, and smart video analytics that turns cameras and sensors into active guardians.

Smart video analytics can detect dangerous situations long before they escalate — from overcrowding and unattended luggage to people entering restricted zones or running on platforms. Instead of relying solely on human operators to monitor dozens of screens, AI filters the noise and highlights only what matters. This allows response teams to act faster, reduce accidents, and maintain smoother passenger flows even during peak hours.

And with edge computing processing data directly on-site, transportation hubs no longer need massive server infrastructures or high-bandwidth connections to operate efficiently. Critical insights — like detecting queues, predicting congestion, or identifying equipment malfunctions — are delivered in real time. The result? Safer stations, shorter wait times, and a transportation ecosystem that adapts dynamically to the needs of modern urban mobility.