As of September this year, the number of video surveillance cameras deployed for public service across the country has reached 30 million units, with the detection rate continuously rising due to advancements in video image technology. Tan Xiaozhun, Party Secretary of the Ministry of Public Security’s Science and Technology Information Bureau, emphasized that with the empowerment of artificial intelligence, the intelligent analysis and application of video and image data are becoming even more powerful in the field of security.
With the rapid development of cloud computing, big data, the Internet of Things, mobile internet, and AI, modern public security systems have moved far beyond traditional methods like manual investigations by highly skilled detectives. Advanced AI-driven security tools, such as facial recognition and VR-enhanced video technologies, are now playing a crucial role in crime prevention and investigation.
Tan Xiaozhun also highlighted that the characteristics of video images—such as being intuitive, accurate, timely, and rich in information—make them ideal for anti-terrorism, stability maintenance, command and control, public safety prevention, case investigation, social management, law enforcement supervision, and people-centered services. The technical support from video image systems has been steadily increasing over time.
For example, Zhejiang Province used its public security portrait matching system for just three months, successfully identifying thousands of criminal suspects through video surveillance. This significantly improved the efficiency of squeezing out criminal activity. Similarly, after the construction of video surveillance systems in Jiangsu, cases involving home theft, plagiarism, and non-motor vehicle theft dropped by 19.9%, 18.2%, and 16.9% respectively in 2016.
This year’s significant progress in video and image work has demonstrated the importance of continuous technological innovation and the integration of new technologies like cloud computing, big data, IoT, and AI. These technologies are evolving rapidly, creating a synchronized development environment for video surveillance applications.
China is currently leading globally in terms of the scale, quantity, networking status, and technical standards of video surveillance systems. A comprehensive standard system for video image information sharing and application has been established, with 24 national standards covering technical specifications, test procedures, and management guidelines. Additionally, the Ministry of Public Security has introduced six public safety industry standards to support the deep integration of video image data into law enforcement operations.
However, despite the massive amount of video data generated—over 30 million surveillance cameras nationwide—the full potential of this data remains untapped. Emerging technologies like AI and big data are advancing quickly, but how to effectively integrate them into video analysis is still an ongoing challenge.
Experts point out that the fragmented nature of video data makes it difficult to grasp the overall situation of a region, which can lead to confusion in decision-making. As a result, the demand for video fusion technology has grown. Researchers like Zhou Zhong have developed techniques that allow different video sources to be integrated, enabling a more comprehensive view of monitored areas.
Deep learning is revolutionizing security by making systems more intelligent. With vast amounts of data coming from various sources, AI plays a key role in analyzing and interpreting this information. Huang Kaiqi from the Chinese Academy of Sciences explains that intelligent video surveillance aims to make computers mimic human cognition, enabling automatic detection of abnormal behavior.
In the security industry, the combination of deep learning and video analytics has proven highly effective. From face recognition to object tracking, deep learning algorithms have significantly improved accuracy and efficiency. Qiu Zheng from Beijing Zhongxing Microelectronics notes that deep learning allows security systems to shift from human-based monitoring to machine-driven analysis, enabling true prevention and control rather than just observation.
Currently, researchers are focusing on developing advanced video big data storage, processing, and analysis technologies. Efforts are underway to build integrated platforms for intelligent analysis and application of video image data, pushing the boundaries of what is possible in smart security.
Our touch all-in-one computers have unlimited possibilities, whether it is self-service ordering, self-service cashiering, self-service inquiry, or industrial production, medical diagnosis display, system monitoring and other applications, you only need to match a variety of different bracket bases to make it your exclusive device. The touch all-in-one computer supports Windows, Android, Linux and other operating systems, and can create customized content according to user needs to provide you with safer, more flexible and more powerful touch products. We have more than 15 years of rich experience in production and customization for global customers, and we continuously update the optional series of products such as size, appearance, and interface for customers.
touch panel pc,touch screen display,large touchscreen PC
HuiZhou GreenTouch Technology Co.,Ltd , https://www.bbstouch.com