基于专利分析的人脸识别技术发展与对策研究

Research on Development Trends and Countermeasures of Face Recognition Technology Based on Patent Analysis

作为人工智能领域的重要分支,人脸识别技术依托海量的生物数据信息,在智慧交通、互联网金融、公共安保等领域得到了广泛应用。通过对人脸识别技术领域的专利分析,能够为我国相关行业的技术研发提供重要指引。运用技术生命周期理论与Logistic模型预测人脸识别技术发展阶段,显示当前人脸识别技术正处于技术发展的成长期;利用incoPat科技创新情报平台,从地域分布、参与主体、技术领域等角度进行分析,得出全球人脸识别专利目前处于持续增长阶段、中美韩是目前全球人脸识别领域专利数量较多的国家、人脸数据表示是当前的研发热点。未来我国应以战略性人脸识别产业发展规划为指导,着力推进人脸识别关键技术领域研发,继续完善人脸识别产业创新研发主体体系,不断创新人脸识别关键技术的应用场景。

As an important branch of artificial intelligence,the face recognition technology,relying on massive biological data information,has been widely used in smart transportation,internet finance,public security and other fields.The patent analysis in the field of face recognition technology can provide important guidelines for the research and development(R&D)of related industries in China.The technology life cycle theory and the Logistic model are applied to predict the development stage of face recognition technology.It found that the current face recognition technology is in the growing stage of technology development.Using the inco Pat,this paper mainly analyzs the perspectives of geographical distribution,participants,and technical fields.It is found that the global face recognition patents are currently in a continuous growing stage;China,the United States and South Korea have a large number of patents in the world;the current R&D hotspot is face data representation.In the future,China should be guided by the strategic face recognition industry development plan,strive to promote the R&D in key technology fields of face recognition,improve the R&D participant system of face recognition industry,and innovate the application scenarios of face recognition technology.