Face Recognition System at the Airport Based on Internet of Things and Cloud Technologies

Abstract

Nowadays, the level of airport security system has been questioned, as there are a few cases involving unexpected events, such as hijacking. Based on the report, the suspected passenger used fake passport and documents, for example, the MH370 incident, whereby after an investigation was conducted by Interpol, two of the passengers were using fake passports and documents. Therefore, airport security could be enhanced at the security, immigration and boarding gates with the combination of new technologies, such as artificial intelligence, biometric technology and big data. This project aims to enhance the airport security system at the boarding gate and indirectly smooth travel experiences for passengers. This system is known as Smart Face Surveillance Camera (SFSC) system, which is able to identify passengers and cabin crew identities in real-time, including their vaccination status before boarding. Passengers need to enter their personal details, such as flight numbers and have their image taken using SFSC at the departure gate. Then, at the boarding gate, cameras will verify the passenger’s face, whereby the data should be identical as that stored in Cloud, which can be monitored by authorities in the case where a passenger’s identity becomes suspicious. This system uses the combination of Raspberry Pi and cameras. It would benefit the society by enhancing airport security and most importantly, individuals will feel safe to fly in the aircraft with seamless travel experiences.