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作 者:张洪 刘昭 ZHANG Hong;LIU Zhao(Xi'an Branch,Beijing Petrochemical Engineering Co.,Ltd.,Xi'an 710075,China)
机构地区:[1]北京石油化工工程有限公司西安分公司,西安710075
出 处:《移动信息》2025年第3期265-267,共3页Mobile Information
摘 要:基于人工智能的视频安防监控智能识别与分析技术通过深度学习算法实现目标检测、行为识别和异常事件预警等功能。该技术在目标追踪、行为分析和场景理解等方面具有显著优势,可有效提升监控系统的智能化水平。通过优化神经网络模型结构,改进特征提取方法,显著提高了目标识别准确率和系统实时性。实验表明,该技术在复杂场景下仍能保持稳定可靠的识别效果,为智慧安防发展提供了新思路。The intelligent identification and analysis technology of video security monitoring based on artificial intelligence realizes the functions of target detection,behavior recognition and abnormal event warning through deep learning algorithm.The technology shows significant advantages in target tracking,behavior analysis and scene understanding,which can effectively improve the intelligence level of the monitoring system.By optimizing the structure of the neural network model and improving the feature extraction method,the accuracy of target recognition and the real-time performance of the system are significantly improved.Experiments show that the technology can still maintain a stable and reliable recognition effect in complex scenes,which provides a new idea for the development of intelligent security.
分 类 号:TP249[自动化与计算机技术—检测技术与自动化装置]
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