Share Email Print

Proceedings Paper

Human-technology interaction for standoff IED detection
Author(s): Evan Zhang; Yiyang Zou; Liping Zachrich; Jack Fulton
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

IEDs kill our soldiers and innocent people every day. Lessons learned from Iraq and Afghanistan clearly indicated that IEDs cannot be detected/defeated by technology alone; human-technology interaction must be engaged. In most cases, eye is the best detector, brain is the best computer, and technologies are tools, they must be used by human being properly then can achieve full functionality. In this paper, a UV Raman/fluorescence, CCD and LWIR 3 sensor fusion system for standoff IED detection and a handheld fusion system for close range IED detection are developed and demonstrated. We must train solders using their eyes or CCD/LWIR cameras to do wide area search while on the move to find small suspected area first then use the spectrometer because the laser spot is too small, to scan a one-mile long and 2-meter wide road needs 185 days although our fusion system can detect the IED in 30m with 1s interrogating time. Even if the small suspected area (e.g., 0.5mx0.5m) is found, human eyes still cannot detect the IED, soldiers must use or interact with the technology - laser based spectrometer to scan the area then they are able to detect and identify the IED in 10 minutes not 185 days. Therefore, the human-technology interaction approach will be the best solution for IED detection.

Paper Details

Date Published: 16 February 2011
PDF: 14 pages
Proc. SPIE 7875, Sensors, Cameras, and Systems for Industrial, Scientific, and Consumer Applications XII, 78750Q (16 February 2011); doi: 10.1117/12.879580
Show Author Affiliations
Evan Zhang, EYZtek, Inc. (United States)
Yiyang Zou, EYZtek, Inc. (United States)
Liping Zachrich, EYZtek, Inc. (United States)
Jack Fulton, Navy Crane Base (United States)

Published in SPIE Proceedings Vol. 7875:
Sensors, Cameras, and Systems for Industrial, Scientific, and Consumer Applications XII
Ralf Widenhorn; Valérie Nguyen, Editor(s)

© SPIE. Terms of Use
Back to Top