With the acceleration of urban construction and the rapid development of network technology, urban management law enforcement problems have become more complicated, the rate of social development cases has gradually increased, and the information security industry, as an important element of the infrastructure of smart communities, has also entered a technological transformation.
It is understood that with the continuous development of high technology today, it is increasingly difficult for many public security staff to solve cases. Incidents often occur, and criminals’ illegal and criminal skills are more secretive and complicated. The “carpet bombing” in traditional online investigations is limited by the labor efficiency of human eye identification. Not only is the efficiency of investigations high and low, but the timeliness is poor, but the actual effect is Not significant. From the promotion of the use of contemporary information technology in the basic construction of smart communities to enhance the ability of social development of intelligent security work, image monitoring technology has gradually been continuously promoted in public security work. According to the technology of face recognition, the public security portrait big data system has obtained a rapid development trend. Also more perfect.
The deployment of face recognition system software in the public security network is mainly to carry out the basic construction of the dynamic face recognition level and the static data face recognition level. According to the installation of front-end surveillance cameras in key parts of the jurisdiction, a unified management method for the collected video images is carried out according to the face recognition service platform. After the face recognition server virtual machine svm algorithm and identification check, the storage device develops records, and finally Cluster to the portrait big data system service platform to share resources under the public security network system. Integrating the leading face recognition algorithm optimization algorithm, face recognition optimization algorithm, etc., the system software can complete real-time monitoring of supervision images, video recording, dynamic credit blacklist check alarms, static data portrait image search and tracking, etc.
The public security portrait big data system has become a key network investigation method to maintain social security. In order to better consider the requirements of the public security for the high-efficiency, high-precision, and high-end storage of the system's software face recognition service items, there must be a high-quality, high-performance embedded computer system for its service platform support point.
Yanling Industrial Computer is a well-known embedded electronic computer product service provider in China. It has been reforming and innovating for many years, and has grasped the technology of embedded (electronic computer) that is the leader in the field. Focusing on the artificial intelligence technology industry, Yanling Industrial Computer has created a series of embedded electronic computer products with professional and reliable product technology (including embedded electronic computer main control board, face recognition surveillance camera control module, embedded barebones and industrial Production of entire machinery, etc.), which can be used as the hardware configuration medium of the public security portrait big data system