Method and apparatus for detecting concealed weapons
Abstract
Apparatus for classifying a ferromagnetic object within a sensing area may include a magnetic field sensor that produces magnetic field data. A signal processing system operatively associated with the magnetic field sensor includes a neural network. The neural network compares the magnetic field data with magnetic field data produced by known ferromagnetic objects to make a probabilistic determination as to the classification of the ferromagnetic object within the sensing area. A user interface operatively associated with the signal processing system produces a user-discernable output indicative of the probabilistic determination of the classification of the ferromagnetic object within a sensing area.
- Inventors:
- Issue Date:
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1175674
- Patent Number(s):
- 7013245
- Application Number:
- 10/778,790
- Assignee:
- Battelle Energy Alliance, LLC (Idaho Falls, ID)
- DOE Contract Number:
- AC07-99ID13727
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; 45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
Citation Formats
Kotter, Dale K., and Fluck, Frederick D. Method and apparatus for detecting concealed weapons. United States: N. p., 2006.
Web.
Kotter, Dale K., & Fluck, Frederick D. Method and apparatus for detecting concealed weapons. United States.
Kotter, Dale K., and Fluck, Frederick D. Tue .
"Method and apparatus for detecting concealed weapons". United States. https://www.osti.gov/servlets/purl/1175674.
@article{osti_1175674,
title = {Method and apparatus for detecting concealed weapons},
author = {Kotter, Dale K. and Fluck, Frederick D.},
abstractNote = {Apparatus for classifying a ferromagnetic object within a sensing area may include a magnetic field sensor that produces magnetic field data. A signal processing system operatively associated with the magnetic field sensor includes a neural network. The neural network compares the magnetic field data with magnetic field data produced by known ferromagnetic objects to make a probabilistic determination as to the classification of the ferromagnetic object within the sensing area. A user interface operatively associated with the signal processing system produces a user-discernable output indicative of the probabilistic determination of the classification of the ferromagnetic object within a sensing area.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 14 00:00:00 EST 2006},
month = {Tue Mar 14 00:00:00 EST 2006}
}
Works referenced in this record:
Detection and classification of concealed weapons using a magnetometer-based portal
conference, August 2002
- Kotter, Dale K.; Roybal, Lyle G.; Polk, Robert E.
- AeroSense 2002, SPIE Proceedings