Author(s)

Chai Gao

Corresponding Author

Chai Gao

Abstract

With the increase of urban population and the increase of mobility, it is significant to strengthen the management of urban personnel information for public security, prevention of key areas and maintenance of stability. Automatic collection of dynamic information, such as data and video, is carried out on the relevant personnel and vehicles in large event venues, resident entrances and exits, and through the reading of the identity card information of the target personnel, and the collision with various types of information data in the background to return the check results. The dynamic information collected will be compared with databases such as fugitive personnel and key personnel and human image comparison systems, actively identify and control dangerous individuals and groups, and control unsafe factors in a timely manner to become the focus of the security work at the scene of control activities. In order to effectively solve many problems in urban public security prevention and control, criminal investigation, and traffic management, in recent years, there have been problems such as the bayonet system and the license plate number retrieval system for personnel and vehicle monitoring, and effectively controlled the security of group activities. "Science and technology security" has become an essential tool for modern policing. Although this kind of system has been implemented for many years, the complete set of information management systems for personnel background information, vehicle control and personnel identification is almost zero so far, resulting in public security personnel in manual investigation of suspects, such as a needle in a haystack, with heavy resistance. Therefore, the large data application platform for large-scale event security comes into being, which effectively provides favorable technical support and guarantee for the safety of large-scale event.

Keywords

Big data, Security, Information collection, Research