Light-Speed Artificial Intelligence detects ski lift danger before an accident happens

The integration of Computer Vision and AI by Light-Speed transforms passive video surveillance into active monitoring. A strategic technology for managing passenger flow and protecting lift attendants.

In the ropeway sector, safety is not a static concept, but a dynamic balance between procedures, maintenance, and constant supervision. However, even in the most advanced stations, the human factor remains the most complex element to manage. Operators, exposed to high cognitive loads and environmental distractions, must monitor rare yet critical events in fast-changing contexts.

This is the environment in which Light-Speed operates: a monitoring system that integrates Artificial Intelligence (AI) with the existing CCTV infrastructure, without invasive structural modifications, transforming video from a passive tool into a tireless “digital sentinel” capable of detecting danger in the split second between normal operation and an accident.

Beyond the human eye: the digital Sentinel

Operational data analysis shows that around 80% of critical issues in the sector occur during chairlift boarding. With capacities reaching 3,000 people per hour and vehicles passing every 5 to 10 seconds on average, the lift attendant faces an objective physical limit: they cannot simultaneously monitor both the immediate boarding phase and the chairs that have already started ascending.

This is where Light-Speed’s Computer Vision comes in. The goal is not to replace the human operator, but to provide a “second pair of eyes” that never gets tired or distracted. As the payoff states, “Spot danger before it strikes,” the system detects danger precisely in that micro-moment between normal operation and a critical event, alerting the operator in real time.

The most common scenarios: what the AI detects

Training Light-Speed’s algorithms on proprietary datasets collected directly in the field has made it possible to map and prevent the most common risk situations:

· Incorrect boarding…

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