Automatic individual Weapon Detection System to Increase Security for Police Officers to Recognizing Terrorists
DOI:
https://doi.org/10.61841/6hp5bf75Keywords:
weapon identification, camera, Counter Terrorism, image processing, Police OfficerAbstract
an attack with a firearm becomes a serious threat to a security and a threat to a nation and state, where now a firearm is very easy to find and use so that regulations are needed to use it especially if the weapon falls on the wrong person and attack crimes using firearms continue to increase. These crime targets are not only personal but are carried out in groups and planned, in some developed countries attacks using firearms are able to be identified 40 minutes after the first gun explosion and the police or security officers will provide a quick response, but The problem currently faced is that security officers are late in identifying criminals because of the type of attack carried out in secret and in terms of unpredictable time, attacks with firearms will target important objects such as malls, airports, oil refinery and other facilities, the solution to this problem is to carry out a rapid identification process before the attack occurs, the identification system can be done with the help of a computer camera or CCTV installed in a public place, the camera will identify a threat seen from the main characteristics for example weapon objects appear in misplaced vital objects then the system identifies the weapon carrier including security officers or not because it often happens officers and terrorists will use the same type of weapon, the computer system will automatically give a visual appearance and categorize the object as a threat or not, This identification system has an accuracy value between 80-90% in analyzing and identifying weapon objects
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References
[1] Abdalrahman Al-Qubaa ; Gui Yan Tian ; John Wilson, "Electromagnetic Imaging System for Weapon Detection and Classification," School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
[2] A. Agurto, Y. Li ; G. Y. Tian, N. Bowring ; S. Lockwood,, "A Review of Concealed Weapon Detection and
Research inPerspective," in Proceedings of the 2007 IEEE International Conference on Networking, Sensing and
Control, London , 2007.
[3] C. A. Dionne, J. J. Schultz, R. A. Murdock, and S. A. Smith,, "Detecting Buried Metallic Weapons in A
Controlled Setting using a Conductivity Meter," Forensic Science International, vol. 208, pp. 18-24, 2011.
[4] Jeremy Travis, "Using Gunshot Detection Technology in High-Crime Areas," National Institute of Justice
Director U.S. Department of Justice.
[5] P.W. Kruse and D.D. Skatrud, Eds.,, "Uncooled Infrared Imaging Arrays and Systems, in Semiconductors and
Semimetals," CA: Academic, vol. 47, 1997.
[6] L.A. Klein, "Millimeter-Wave and Infrared Multisensor Design and Signal Processing," Boston, MA: Artech,
1997..
[7] N. Otsu,, "A threshold selection method from gray-level histograms," IEEE Trans. Syst.,, vol. 9, no. 1, pp. 62-66,
1979.
[8] M.A. Slamani, P.K. Varshney, M.G. Alford, and D. Ferris,, "Use of A’SCAPE and fusion algorithms for the
detection of concealed weapons," in presented at the Proc. 8th Int. Conf. Signal Processing Applications and
Technology (ICSPAT’97), Sandiego, 1997.
[9] M.A. Slamani, D.D. Weiner, and V. Vannicola, "A new statistical procedure for the segmentation of contiguous
nonhomogeneous regions based on the Ozturk algorithm," in in Proc. SPIE Conf. Statistical and Stochastic
Methods for Image Processing, Denver, 1996.
[10] M.A. Slamani, D.D. Ferris, "Shape descriptors based detection of concealed weapons in millimeter-wave data,," in in Proc. SPIE AeroSense 2001, Optical Pattern Recognition XII, Orlando, 2001.
[11] Michał Grega ; Andrzej Matiolanski, Piotr Guzik , Mikołaj Leszczuk, "Automated Detection of Firearms and Knives in a CCTV Image," AGH University of Science and Technology, 2016.
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