API magazine
October 1, 2020

Japan’s NEC Corporation has developed a waiting time forecast system for the international passenger terminal at Tokyo Haneda Airport (HND), Japan.

The system, which analyses and visualises the status of congestion during security inspections has been in operation since October 2019 and is now providing fully automated waiting time forecasts, according to its developer. The new system combines crowd behaviour analysis technology that detects crowd congestion in videos and belongs to NEC’s leading-edge AI technology portfolio, NEC the Wise, with 3D stereo-visual sensors, which capture the movements of people who appear on screen. These technologies collect and analyze information on the flow and the number of passengers, and then visualise the status of congestion in real time, to estimate waiting times. By implementing the system, Haneda hopes to improve levels of convenience for departing passengers and to improve the on-time performance of aircraft operations by levelling the utilisation rates of security inspection sites.

In the future, NEC aims to further increase the accuracy of AI-enabled forecasts and to expand their capabilities, such as estimating waiting times several hours in advance.