Virtual Booth

Airports play a vital role as global transport hubs, accommodating many users with different needs. For all passengers, including those with impairments or language barriers, a smooth experience depends on effective navigation and help technologies. This study proposes an innovative solution termed "Airport Helper," leveraging hand gesture recognition technology to facilitate passenger assistance within airport environments. Passengers may engage with airport services and facilities in an intuitive manner thanks to the Airport Helper system, which uses computer vision algorithms to interpret and respond to hand gestures. The technology records and analyses the hand gestures of travellers using a specifically designed stand monitor positioned strategically throughout the airport. This enables passengers to transmit requests or directions without using words. The Airport Helper system's primary features include emergency response coordination, facility-finding help, and directed navigation. Through the identification of pre-programmed gestures linked to actions or queries, the system provides timely and personalised solutions. A total of 20 volunteers were selected specifically among the disabled and foreigners for this study. The process began with the volunteer taking the improvised hand gesture picture using the Pi camera. The picture was then saved in the data. Upon obtaining the data, it will be transferred to the Raspberry Pi to interpret it by code. Data will be read according to an algorithm developed on a Raspberry Pi. If the data matches with the algorithm that has been set, the output will be displayed directly on the Liquid Crystal Display (LCD) screen. The obtained data was then validated using a confusion matrix and shows the accuracy percentage.