Dr. Xuanwen Luo Profile

Dr. Xuanwen Luo

at Wayne State Univ

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Proceedings Article | 15 September 2004 Paper

Applying face identification to detecting hijacking of airplane

Xuanwen Luo, Qiang Cheng

Proceedings Volume 5403, (2004) https://doi.org/10.1117/12.541925

KEYWORDS: Facial recognition systems, Detection and tracking algorithms, Principal component analysis, System identification, Databases, Cameras, Sensors, Image segmentation, Image processing, Homeland security

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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.

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