This project harness emerging passenger tracking and identification technologies with the objectives of increasing the safety of air travel whilst maximising the utilisation of existing facilities.
Up to 5% of aircraft departure delays are caused by late passengers or bags at a gate. This system delivers better knowledge of the movements of passengers. It enables the location of checked in passengers who are either missing or late, and thus reduce passenger induced delays and speed up aircraft turn around. The proposed system could form an essential component or Airline passenger identification and threat assessment systems through the automated identification of suspicious passenger movements or through the closer monitoring of individuals considered to pose a risk to secure operations.
This project deployed networks of enhanced Closed Circuit Television (CCTV) systems coupled to local, direction based, and passenger tracking system using a "far-field" Radio Frequency Identification (RFID) tags. The system facilitated real-time location of individual passenger within the airport, the analysis of both mass traffic & individual behaviours, and, where appropriate, the semi-automatic control of CCTV based vision systems to observe and record suspicious or unauthorised activity.
Three developments are required to implement the system:
The use of two complementary yet independent systems (one RFID based, one vision based) is intended to ensure an appropriate balance of active and passive tracking, to enable an operator to track a passenger throughout the facility and to minimise opportunities to evade the system.
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