摘要
构建广播电视安全播出监测与预警系统,是保障广播电视行业安全稳定发展的重要任务。然而,传统的监测与预警系统往往依赖于人力巡查和手动处理,无法满足日益增长的监测任务需求。因此,文中提出了一种全新的基于人工智能技术的广播电视安全播出监测与预警系统,并综述了广播电视安全播出的背景和重要性,阐述了目前的监测手段存在的局限性和问题。首先,通过深度学习算法,构建了一个声音识别系统,用于实时监测广播电视节目中的异常声音,识别出可能存在的安全隐患。其次,针对图像恶搞等非法内容,设计了一个基于图像识别的检测系统,以实现自动识别并报警,提高安全监测的准确性和及时性。最后,对该监测与预警系统进行了评估和验证。结果表明,该系统具有良好的监测准确率和报警效果,能有效提高广播电视节目的安全性。
Constructing a radio and television security broadcast monitoring and early warning system is an important task to ensure the safe and stable development of the radio and television industry.However,traditional monitoring and early warning systems often rely on human inspection and manual processing,which cannot meet the growing demand for monitoring tasks.Therefore,this paper proposes a brand-new radio and television security broadcast monitoring and early warning system based on artificial intelligence technology,and summarizes the background and importance of radio and television security broadcast,and expounds the limitations and problems of current monitoring methods.First,through deep learning algorithm,a voice recognition system is constructed,which is used to monitor abnormal sounds in radio and television programs in real time and identify possible security risks.Secondly,for illegal content such as image spoof,a detection system based on image recognition is designed to realize automatic identification and alarm,and improve the accuracy and timeliness of safety monitoring.Finally,the monitoring and early warning system is evaluated and verified.The results show that the system has good monitoring accuracy and alarm effect,and can effectively improve the safety of radio and television programs.
作者
杜文钊
DU Wenzhao(Beijing Radio and Television Station,Beijing 100022,China)
出处
《移动信息》
2024年第4期170-172,共3页
MOBILE INFORMATION
关键词
人工智能
广播电视
安全播出监测
预警系统
Artificial intelligence
Radio and television
Safe broadcast monitoring
Early warning system
