Advancing Rail Safety with Computer Vision and Human Factors
Mosaic ATM developed a scalable, camera-based framework to better understand fatigue progression in safety-critical transportation operations.
Mosaic ATM developed a scalable, camera-based framework to better understand fatigue progression in safety-critical transportation operations.
Artificial intelligence in aviation tends to attract two competing narratives. In one, AI solves congestion, delays, staffing challenges, and nearly every other operational problem. In the other, it is an unproven technology that threatens to remove experienced professionals from safety-critical decisions. Neither version accurately describes where AI is headed today in air traffic control.
Airport operators and aviation stakeholders already have access to more operational data than ever before. The challenge is turning that data into a shared, accurate, and forward-looking understanding of airport operations. That is where digital twins are becoming increasingly valuable.