人工智能技术在广播电视监测领域的应用

Application of Artificial Intelligence Technology in the Field of Radio and Television Monitoring

随着广播电视行业的快速发展,传统的监测方法面临着处理大数据、实时性和准确性不足的问题。分析传统广播电视监测方法的局限性,阐述人工智能(Artificial Intelligence,AI)技术在广播电视监测领域的应用架构,特别是视频监测与人脸识别技术的结合、文字识别在防非监测中的应用,以及AI图像识别算法的实现方法。通过对这些技术的探讨,展示如何通过AI提高广播电视监测的效率和准确性,确保内容的安全与质量,以期推动行业监测向智能化、自动化方向发展。

With the rapid development of the radio and television industry,the traditional monitoring methods are faced with the problems of dealing with big data,real-time and accuracy.This paper analyzes the limitations of traditional radio and television monitoring methods,and describes the application architecture of Artificial Intelligence(Al)technology in the field of radio and television monitoring,especially the combination of video monitoring and face recognition technology,the application of text recognition in anti-non-non-monitoring,and the implementation method of AI image recognition algorithm.Through the discussion of these technologies,it shows how AI can improve the efficiency and accuracy of radio and television monitoring,ensure the safety and quality of content,and promote the development of industry monitoring to the direction of intelligence and automation.