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Analysts and Detection of Concealed Weapons Using lR Fusion With MMW Support Imaging Technology
Abstract
The detection of weapons concealed underneath a person's clothing is an important obstacle to the improvement of the security of the general public as well as the safety of public assets like airports and buildings. The lack of proper mechanisms to detect and identify concealed weapons in advance results in the increase of crime rate. This chapter presents a study for concealed weapon detection using passive millimeter wave imaging sensors combined with image processing and convolutional neural networks. This eliminates the ambiguity of using millimeter wave imaging alone. The proposed system will perform the fusion of Passive MMW images with corresponding IR images followed by YOLO and VGG Net detection models.
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