MFA-net: Object detection for complex X-ray cargo and baggage security imagery

T Viriyasaranon, SH Chae, JH Choi - Plos one, 2022 - journals.plos.org
Deep convolutional networks have been developed to detect prohibited items for automated
inspection of X-ray screening systems in the transport security system. To our knowledge …

AMOD-net: Attention-based multi-scale object detection network for X-ray baggage security inspection

X Zhu, J Zhang, X Chen, D Li, Y Wang… - Proceedings of the 2021 …, 2021 - dl.acm.org
X-ray baggage security checking is an extremely important task, which can detect various
dangerous objects in airports, stations and other public places to prevent crimes and protect …

AFTD-Net: real-time anchor-free detection network of threat objects for X-ray baggage screening

Y Wei, Z Zhu, H Yu, W Zhang - Journal of Real-Time Image Processing, 2021 - Springer
X-ray baggage screening is a vitally important task to detect all kinds of threat objects at
controlled access positions, which can prevent crime and guard personal safety. It is …

On the use of deep learning for the detection of firearms in x-ray baggage security imagery

YFA Gaus, N Bhowmik… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
X-ray imagery security screening is essential to maintaining transport security against a
varying profile of prohibited items. Particular interest lies in the automatic detection and …

Multi‐Scale Feature Attention‐DEtection TRansformer: Multi‐Scale Feature Attention for security check object detection

H Sima, B Chen, C Tang, Y Zhang… - IET Computer Vision, 2024 - Wiley Online Library
X‐ray security checks aim to detect contraband in luggage; however, the detection accuracy
is hindered by the overlapping and significant size differences of objects in X‐ray images. To …

Object detection and X-ray security imaging: A survey

J Wu, X Xu, J Yang - IEEE Access, 2023 - ieeexplore.ieee.org
Security is paramount in public places such as subways, airports, and train stations, where
security screeners use X-ray imaging technology to check passengers' luggage for potential …

Toward automatic threat recognition for airport X-ray baggage screening with deep convolutional object detection

KJ Liang, JB Sigman, GP Spell, D Strellis… - arXiv preprint arXiv …, 2019 - arxiv.org
For the safety of the traveling public, the Transportation Security Administration (TSA)
operates security checkpoints at airports in the United States, seeking to keep dangerous …

Detecting prohibited items in X-ray images: A contour proposal learning approach

T Hassan, M Bettayeb, S Akçay, S Khan… - … on Image Processing …, 2020 - ieeexplore.ieee.org
X-ray baggage screening plays a vital role in aviation security. Manual inspection of
potentially anomalous items is challenging due to the clutter and occlusion within Xray …

X-ray detection of prohibited item method based on dual attention mechanism

Y Li, C Zhang, S Sun, G Yang - Electronics, 2023 - mdpi.com
Prohibited item detection plays a significant role in ensuring public safety, as the timely and
accurate identification of prohibited items ensures the safety of lives and property. X-ray …

Deep convolutional neural network based object detector for X-ray baggage security imagery

J Liu, X Leng, Y Liu - … on Tools with Artificial Intelligence (ICTAI), 2019 - ieeexplore.ieee.org
Detection and classification of X-ray baggage security imagery are of great significance not
only in daily life. However, up to now, it is still difficult for the traditional image processing …