NEC Corporation has provided a “Waiting Time Forecast System” that analyzes and visualizes the status of congestion in airport security inspections at Haneda Airport’s (Tokyo International Airport) International Passenger Terminal.
The system combines crowd behavior analysis technology that detects crowd congestion in videos and belongs to NEC’s AI technology portfolio, 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 visualize the status of congestion in real time in order to estimate waiting times.
The system is expected to enhance convenience for departing passengers and to improve the on-time performance of aircraft operations by leveling the utilization 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.
