Applying face identification to detecting hijacking of airplane

Xuanwen Luo; Qiang Cheng

doi:10.1117/12.541925

15 September 2004 Applying face identification to detecting hijacking of airplane

Xuanwen Luo, Qiang Cheng

Proceedings Volume 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III; (2004) https://doi.org/10.1117/12.541925
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

That terrorists hijacked the airplanes and crashed the World Trade Center is disaster to civilization. To avoid the happening of hijack is critical to homeland security. To report the hijacking in time, limit the terrorist to operate the plane if happened and land the plane to the nearest airport could be an efficient way to avoid the misery. Image processing technique in human face recognition or identification could be used for this task. Before the plane take off, the face images of pilots are input into a face identification system installed in the airplane. The camera in front of pilot seat keeps taking the pilot face image during the flight and comparing it with pre-input pilot face images. If a different face is detected, a warning signal is sent to ground automatically. At the same time, the automatic cruise system is started or the plane is controlled by the ground. The terrorists will have no control over the plane. The plane will be landed to a nearest or appropriate airport under the control of the ground or cruise system. This technique could also be used in automobile industry as an image key to avoid car stealth.

Citation Download Citation

Xuanwen Luo and Qiang Cheng "Applying face identification to detecting hijacking of airplane", Proc. SPIE 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III, (15 September 2004); https://doi.org/10.1117/12.541925

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KEYWORDS

Facial recognition systems

Detection and tracking algorithms

Principal component analysis

System identification

Databases

Cameras

Sensors

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