人工智能在智能安防中的应用 -计算机科学与技术专业

摘要

随着信息技术的迅猛发展，智能安防成为保障社会公共安全的重要手段，人工智能技术的融入为智能安防带来新的变革。本研究旨在探讨人工智能在智能安防中的应用，以提升安防系统的智能化水平和效率。通过文献研究法、案例分析法等方法，深入剖析人工智能技术如机器学习、深度学习、计算机视觉等在智能安防领域的具体应用情况。研究发现，人工智能可实现对监控视频中人员、车辆等目标的精准识别与行为分析，异常事件检测准确率显著提高，且能进行大规模数据的快速处理与智能决策支持。创新点在于构建了基于多模态数据融合的人工智能安防模型，整合多种感知数据，使系统具备更强的环境适应性和鲁棒性，有效解决了复杂场景下的安防难题，为智能安防提供了新的解决方案，推动智能安防向更高效、更智能的方向发展，对维护社会稳定和国家安全具有重要意义。

关键词：智能安防人工智能多模态数据融合

Abstract

With the rapid development of information technology, intelligent security has become an essential means to safeguard public safety. The integration of artificial intelligence (AI) technologies brings about transformative changes in intelligent security systems. This study aims to investigate the application of AI in intelligent security to enhance the intelligence level and efficiency of security systems. By employing methods such as literature review and case analysis, this research thoroughly examines the specific applications of AI technologies including machine learning, deep learning, and computer vision in the field of intelligent security. It is found that AI can achieve precise identification and behavior analysis of targets such as individuals and vehicles in surveillance videos, significantly improving the accuracy of abnormal event detection, and enabling rapid processing of large-scale data along with intelligent decision support. An innovation of this study lies in constructing an AI-based security model through multimodal data fusion, which integrates various types of perceptual data, thereby enhancing the system's environmental adaptability and robustness. This effectively addresses security challenges in complex scenarios and provides new solutions for intelligent security, promoting its development towards higher efficiency and greater intelligence, which is of great significance for maintaining social stability and national security.

Keyword:Intelligent Security Artificial Intelligence Multi-modal Data Fusion

1绪论 1

1.1研究背景与意义 1

1.2国内外研究现状 1

1.3研究方法概述 1

2人工智能技术基础 2

2.1关键算法原理 2

2.2数据处理与分析 3

2.3技术发展趋势 3

3智能安防系统架构 4

3.1系统组成要素 4

3.2信息采集方式 4