Baqué, R.; Vignaud, L.; Wasik, V.; Castet, N.; Herschel, R.; Cetinkaya, H.; Brandes, T. MIC: Microwave Imaging Curtain for Dynamic and Automatic Detection of Weapons and Explosive Belts. Sensors2023, 23, 9531.
Baqué, R.; Vignaud, L.; Wasik, V.; Castet, N.; Herschel, R.; Cetinkaya, H.; Brandes, T. MIC: Microwave Imaging Curtain for Dynamic and Automatic Detection of Weapons and Explosive Belts. Sensors 2023, 23, 9531.
Baqué, R.; Vignaud, L.; Wasik, V.; Castet, N.; Herschel, R.; Cetinkaya, H.; Brandes, T. MIC: Microwave Imaging Curtain for Dynamic and Automatic Detection of Weapons and Explosive Belts. Sensors2023, 23, 9531.
Baqué, R.; Vignaud, L.; Wasik, V.; Castet, N.; Herschel, R.; Cetinkaya, H.; Brandes, T. MIC: Microwave Imaging Curtain for Dynamic and Automatic Detection of Weapons and Explosive Belts. Sensors 2023, 23, 9531.
Abstract
DEXTER (Detection of EXplosives and firearms to counter TERrorism) is a project funded by NATO’s Science for Peace and Security (SPS) program with the goal of developing an integrated system capable of remotely and accurately detecting explosives and firearms in public places without impeding the flow of pedestrians. The active microwave component of the DEXTER project is referred to as MIC (Microwave Imaging Curtain), supported by the French SGDSN (General Secretariat of Defense and National Security), and utilizes a radar system capable of generating 3D images in real time to address non-checkpoint detection of explosives and fire-arms. The project, led by the ONERA (France), is based on a radar imaging system developed by the Fraunhofer FHR institute, using a MIMO architecture with an Ultra Wide-Band waveform.
Although high-resolution 3D microwave imaging is already being used in expensive body scanners to detect firearms concealed under clothing, MIC's innovative approach lies in utilizing a high-resolution 3D imaging device that can detect larger dangerous objects carried by moving individuals at a longer range, in addition to providing discrete detection in pedestrian flow. Automatic detection and classification of these dangerous objects is carried out on 3D radar im-ages using a deep-learning network.
This paper will outline the project's objectives and constraints, as well as the design, architecture, and performance of the final system. Additionally, it will present real-time imaging results ob-tained during a live demonstration in a relevant environment.
Keywords
Ultra wide band radar; Artificial Intelligence; 3D radar; MIMO radar; counter-terrorism
Subject
Physical Sciences, Radiation and Radiography
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
