计算机工程与应用 ›› 2020, Vol. 56 ›› Issue (17): 86-92.DOI: 10.3778/j.issn.1002-8331.1911-0410

• 大数据与云计算 • 上一篇    下一篇

边缘计算在视频侦查中的应用

贾晓千,陈刚,李白冰   

  1. 中国人民公安大学,北京 100038
  • 出版日期:2020-09-01 发布日期:2020-08-31

Application of Edge Computing in Video Investigation

JIA Xiaoqian, CHEN Gang, LI Baibing   

  1. People’s Public Security University of China, Beijing 100038, China
  • Online:2020-09-01 Published:2020-08-31

摘要:

视频侦查是犯罪案件侦破的关键技术,以其客观性、真实性等特征为大量刑事案件的侦办提供了可靠支撑。但是,视频监控体系的粗放式发展也逐步暴露出弊病。而边缘计算是伴随着物联网、AI等技术的产生适用而出现的新数据算法模型。边缘计算在视频侦查领域具有技术和逻辑上的可行性,其独特的运算逻辑在实践应用中能有效缓解云中心的运算、存储压力,在边缘端完成数据的优化、传输、共享等初步处理操作,实现边-云的密切协作。基于在不同价值场景的应用,边缘计算可以释放视频监控大数据在侦查中的价值,有效化解数据异构、延迟和安全隐私等问题。

关键词: 视频侦查, 边缘计算, 侦查应用, 数据管理, 价值场景

Abstract:

Video investigation is the key technology for criminal investigation. With its characteristics of objectivity and authenticity, it provides reliable support for the investigation of a large number of criminal cases. However, the extensive development of the video investigation system has gradually exposed its drawbacks. And edge computing is a new data algorithm model that comes along with the production and application of Internet of Things, AI and other technologies. Edge computing has technical and logical feasibility in the field of video reconnaissance. Its unique computing logic can effectively alleviate the computing and storage pressure of the cloud center in practical applications, and complete the initial processing operations of data optimization, transmission, and sharing at the edge to achieve close collaboration between edge and cloud. Based on the application in different value scenarios, edge computing can release the value of video investigation big data , effectively solve the problems of data heterogeneity, delay and security privacy.

Key words: video investigation, edge computing, investigation applications, data management, value scenarios