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MARIE: One-Stage Object Detection Mechanism for Real-Time Identifying of Firearms

by Diana Abi-Nader1, Hassan Harb2, Ali Jaber1, Ali Mansour3, Christophe Osswald3, Nour Mostafa2,*, Chamseddine Zaki2

1 Computer Science Department, Faculty of Sciences, Lebanese University, Beirut, 146404, Lebanon
2 College of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait
3 Lab-STICC, CNRS UMR 6285, ENSTA-Bretagne, Brest, 29200, France

* Corresponding Author: Nour Mostafa. Email: email

Computer Modeling in Engineering & Sciences 2025, 142(1), 279-298. https://doi.org/10.32604/cmes.2024.056816

Abstract

Security and safety remain paramount concerns for both governments and individuals worldwide. In today’s context, the frequency of crimes and terrorist attacks is alarmingly increasing, becoming increasingly intolerable to society. Consequently, there is a pressing need for swift identification of potential threats to preemptively alert law enforcement and security forces, thereby preventing potential attacks or violent incidents. Recent advancements in big data analytics and deep learning have significantly enhanced the capabilities of computer vision in object detection, particularly in identifying firearms. This paper introduces a novel automatic firearm detection surveillance system, utilizing a one-stage detection approach named MARIE (Mechanism for Real-time Identification of Firearms). MARIE incorporates the Single Shot Multibox Detector (SSD) model, which has been specifically optimized to balance the speed-accuracy trade-off critical in firearm detection applications. The SSD model was further refined by integrating MobileNetV2 and InceptionV2 architectures for superior feature extraction capabilities. The experimental results demonstrate that this modified SSD configuration provides highly satisfactory performance, surpassing existing methods trained on the same dataset in terms of the critical speed-accuracy trade-off. Through these innovations, MARIE sets a new standard in surveillance technology, offering a robust solution to enhance public safety effectively.

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APA Style
Abi-Nader, D., Harb, H., Jaber, A., Mansour, A., Osswald, C. et al. (2025). MARIE: one-stage object detection mechanism for real-time identifying of firearms. Computer Modeling in Engineering & Sciences, 142(1), 279-298. https://doi.org/10.32604/cmes.2024.056816
Vancouver Style
Abi-Nader D, Harb H, Jaber A, Mansour A, Osswald C, Mostafa N, et al. MARIE: one-stage object detection mechanism for real-time identifying of firearms. Comput Model Eng Sci. 2025;142(1):279-298 https://doi.org/10.32604/cmes.2024.056816
IEEE Style
D. Abi-Nader et al., “MARIE: One-Stage Object Detection Mechanism for Real-Time Identifying of Firearms,” Comput. Model. Eng. Sci., vol. 142, no. 1, pp. 279-298, 2025. https://doi.org/10.32604/cmes.2024.056816



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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