ملخص البحث :
Innovative tactics are employed by terrorists to conceal weapons and
explosives to perpetrate violent attacks, accounting for the deaths of millions
of lives every year and contributing to huge economic losses to the global
society. Achieving a high threat detection rate during an inspection of crowds
to recognize and detect threat elements from a secure distance is
the motivation for the development of intelligent image data analysis from a
machine learning perspective. A method proposed to reduce the image
dimensions with support vector, linearity and orthogonal. The functionality
of CWD is contingent upon the plenary characterization of fusion data from
multiple image sensors. The proposed method combines multiple sensors by
hybrid fusion of sigmoidal Hadamard wavelet transform and PCA basis
functions. Weapon recognition and the detection system, using Image
segmentation and K means support vector machine A classifier is an
autonomous process for the recognition of threat weapons regardless of
make, variety, shape, or position on the suspect’s body despite concealment.
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سنة النشر : 2020
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تصنيف البحث : scopus
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