Privacy algorithm for airport passenger screening portal

Paul E. Keller; Douglas L. McMakin; David M. Sheen; A. David McKinnon; Jay W. Summet

doi:10.1117/12.380602

30 March 2000 Privacy algorithm for airport passenger screening portal

Paul E. Keller, Douglas L. McMakin, David M. Sheen, A. David McKinnon, Jay W. Summet

Proceedings Volume 4055, Applications and Science of Computational Intelligence III; (2000) https://doi.org/10.1117/12.380602
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

A novel personnel surveillance system has been developed for airport security to detect and identify threatening objects, which are concealed ont he human body. The main advantage of this system over conventional metal detectors is that non- metallic objects such as plastic explosives and plastic guns are detectable. This system is based on millimeter-wave array technology and a holographic imaging algorithm to provide surveillance images of objects hidden beneath clothing in near real-time. The privacy algorithm is based on image processing filters and artificial neural networks. The algorithm examines the millimeter-wave surveillance images to locate and segment the threats and place them on either a silhouette of the person or a wire-frame humanoid representation. In this way, all human features are removed from the final image and personal privacy is maintained. This system is ideally suited for mass transportation centers such as airport checkpoints that require high throughput rates. The system is currently under going evaluation. This paper reports on results from an earlier initial test of portions of the privacy algorithm that detect hidden plastic objects.

Citation Download Citation

Paul E. Keller, Douglas L. McMakin, David M. Sheen, A. David McKinnon, and Jay W. Summet "Privacy algorithm for airport passenger screening portal", Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); https://doi.org/10.1117/12.380602

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