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

作　　者：Diana Abi-Nader Hassan Harb Ali Jaber Ali Mansour Christophe Osswald Nour Mostafa Chamseddine Zaki 

机构地区：[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

出　　处：《Computer Modeling in Engineering & Sciences》2025年第1期279-298,共20页工程与科学中的计算机建模（英文）

摘　　要：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 Realtime 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 speedaccuracy trade-off.Through these innovations,MARIE sets a new standard in surveillance technology,offering a robust solution to enhance public safety effectively.

关 键 词：Firearm and gun detection single shot multi-box detector deep learning one-stage detector MobileNet INCEPTION convolutional neural network 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]