基于深度学习的人脸识别技术在广播电视监测中的应用

Application of Face Recognition Technology Based on Deep Learning in Radio and Television Monitoring

广播电视与网络视听监测作为推动广播电视与网络视听快速发展、确保播出安全与内容安全的重要保障,必须把握最新要求。随着人工智能和深度学习技术的不断发展,人脸识别技术在图像领域取得了显著成果,已成为人工智能领域的研究热点之一。基于此,探讨深度学习的人脸识别理论,分析基于深度学习的人脸识别在广播电视监测中的应用,研究基于深度学习的人脸识别在广播电视监测中的应用效果,为提高监测效率、维护广播电视播出秩序、有效净化网络视听空间提供参考和借鉴。

As an important guarantee for promoting the rapid development of broadcasting,television,and network audiovisual monitoring,and ensuring broadcasting and content security,it is necessary to grasp the latest requirements.With the continuous development of artificial intelligence and deep learning technology,facial recognition technology has achieved significant results in the field of images and has become one of the research hotspots in the field of artificial intelligence.Based on this,this paper explores the theory of deep learning facial recognition,analyzes the application of deep learning based facial recognition in broadcasting and television monitoring,and studies the application effect of deep learning based facial recognition in broadcasting and television monitoring,providing reference and guidance for improving monitoring efficiency,maintaining broadcasting order,and effectively purifying network audio-visual space.