本研究论文介绍了一种利用 YOLOv8 进行实时武器检测的 AI 模型的开发，旨在增强学校、机场和公共交通系统等公共场所的安全。随着全球暴力事件持续增加，迫切需要能够快速识别潜在威胁的有效监控技术。我们的方法侧重于利用先进的深度学习技术，创建一个高精度、高效率的系统，能够在实时视频流中检测武器。该模型在一个包含数千张描绘各类枪支和利器图像的综合数据集上进行训练，确保了稳健的学习过程。我们使用精确率、召回率、F1 分数以及多个交并比（IoU）阈值下的平均精度均值（mAP）等关键指标评估了模型性能，结果显示其具有以最小误差区分武器类别与非武器类别的显著能力。此外，我们评估了系统的运行效率，证明其能够以适合实时应用的高速度处理帧。研究结果表明，我们基于 YOLOv8 的武器检测模型不仅为计算机视觉领域的现有知识体系作出贡献，也满足了脆弱环境中改进安全措施的关键社会需求。通过利用人工智能的力量，本研究为开发可部署于安保场景的实用解决方案奠定了基础，最终增强执法和公共安全机构的防护能力。
英文摘要：
This research paper presents the development of an AI model utilizing YOLOv8 for real-time weapon detection, aimed at enhancing safety in public spaces such as schools, airports, and public transportation systems. As incidents of violence continue to rise globally, there is an urgent need for effective surveillance technologies that can quickly identify potential threats. Our approach focuses on leveraging advanced deep learning techniques to create a highly accurate and efficient system capable of detecting weapons in real-time video streams. The model was trained on a comprehensive dataset containing thousands of images depicting various types of firearms and edged weapons, ensuring a robust learning process. We evaluated the model's performance using key metrics such as precision, recall, F1-score, and mean Average Precision (mAP) across multiple Intersection over Union (IoU) thresholds, revealing a significant capability to differentiate between weapon and non-weapon classes with minimal error. Furthermore, we assessed the system's operational efficiency, demonstrating that it can process frames at high speeds suitable for real-time applications. The findings indicate that our YOLOv8-based weapon detection model not only contributes to the existing body of knowledge in computer vision but also addresses critical societal needs for improved safety measures in vulnerable environments. By harnessing the power of artificial intelligence, this research lays the groundwork for developing practical solutions that can be deployed in security settings, ultimately enhancing the protective capabilities of law enforcement and public safety agencies.
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