Sungkyunkwan University researchers develop system to prevent subway door accidents through collaboration - The Korea Times

A schematic diagram shows how subway door entrapment accidents can be proactively prevented based on a collaborative study by researchers from Sungkyunkwan University, the Korea Advanced Institute of Science and Technology and Texas Tech University. Courtesy of Sungkyunkwan University

A Sungkyunkwan University research team has developed an artificial intelligence (AI)-based system to prevent subway door-related accidents in collaboration with the Korea Advanced Institute of Science and Technology (KAIST) and Texas Tech University.

The university said researchers from the three institutions worked together to develop an AI-based passenger movement estimation system to help prevent subway door entrapment accidents.

The system is designed to predict passenger movements using CCTV footage by detecting passengers and classifying their movement types.

Unlike conventional reactive methods, the new system is capable of proactively identifying risks before passengers even reach the platform, according to the university.