Talking about the four factors that restrict the development of intelligent monitoring

In the era of big data, video intelligent analysis technology has been given great promise in data mining in the face of massive video data. Intelligent video analytics enables video surveillance from manual sampling, advancement to high-efficiency pre-warning, post-mortem analysis, and intelligent information analysis and forecasting.

Nowadays, the monitoring systems that we are exposed to in the daytime, whether it is analog or digital mixing, or purely digital, are still working in “real-time monitoring and real-time recording”, which not only wastes manpower, but also wastes material resources. Video recording, it is difficult to extract valuable video, long-term preservation is also a big problem, in addition to the existing monitoring system is very dependent on the participation of people, intelligent monitoring can share the manpower resources, so intelligent video surveillance is a trend It is also the only way for the development of video surveillance systems.

Currently, there are two ways to implement intelligent video surveillance. One is front-end smart analysis; the other is back-end smart analysis. The biggest difference between the two intelligent analysis methods is that the former uses the front-end camera's own chip for calculation, while the latter uses the back-end computer software-only method for analysis. But whether it is front-end embedded or back-end software, its function is achieved through the analysis of the video signal through the operation of the core algorithm program developed. The difference between embedded and pure software is that the computing platform is not the same. The former can complete the operation of the core algorithm and related calculations on the camera DSP chip; and the software-only computing platform is a general-purpose computer.

Intelligent, high-definition, and networking are inevitable trends in the development of video surveillance. The emergence of intelligent surveillance technology is a direct manifestation of this trend of intelligence. Intelligent monitoring technology is hot, but the difference in individual needs of different industries puts very high demands on intelligent monitoring technology. Intelligent monitoring is an embedded video server that integrates intelligent behavior recognition algorithms to identify and determine the behavior of people or vehicles in the scene and generate alerts to alert users under appropriate conditions. Combined with the central management system software, more linkage alarm functions can be completed.

Intelligent monitoring technology has not been applied to a large market for the following reasons:

I. There is no uniform standard for intelligent monitoring technology

What kind of intelligence? What is not smart? At present, China's intelligent surveillance industry lacks a standardized concept. Each vendor has a greater definition of intelligence. Some manufacturers believe that products with intelligent analysis capabilities may be applied to smart technologies. Other manufacturers may think that “something "Intelligent monitoring technology"; too simple, not even smart at all.

For example, some systems simply complete some motion detection tasks and cannot fundamentally implement automatic analysis and extracting threat information. Some systems, though capable of satisfying complex pattern recognition, target tracking, etc. The working conditions in the actual application environment are not ideal, and many functions are in name only. Therefore, the industry should define a unified standard and define the concept of intelligence clearly. This is conducive to industry norms, but also to achieve the purpose of educating customers, enabling users to more clearly understand the application of intelligent monitoring technology.

Second, market awareness and demand positioning of intelligent monitoring technology need a process

Not long ago, Wen Jun, product marketing manager of Sony China Professional Systems Group, believed that the greatest difficulty in the promotion of high-definition and intelligent products in the current media exchange with the industry lies in the degree of user acceptance and product availability in this market. demand.

Currently, there is a gap between the functions demonstrated by intelligent monitoring technology in products and the needs of customers. Customers often overestimate the convenience functions that intelligent systems can provide; at the same time, effective monitoring of intelligent monitoring technologies requires higher-end equipment. There are even strict requirements on the installation of equipment. Many engineering companies are still in the stage of learning in this regard, which also makes it difficult for the promotion of intelligent monitoring technology. In addition, the price of the product is still very expensive, which causes the user to feel that their investment is not directly proportional to the product.

Third, the accuracy of intelligent monitoring technology

The accuracy of the intelligent monitoring technology depends on the quality of the video source. Currently, high-definition monitoring is not popular, and the quality of the video source cannot be guaranteed.

Fourth, the development of intelligent video surveillance technology is a process

The technology development of intelligent video surveillance is never-ending, and the requirements of different application environments for intelligent surveillance technologies are different. New-born intelligent surveillance technologies also have a process of market game with traditional surveillance technologies.

The development of intelligent monitoring technology has its own reasons and objective reasons. However, in the long run, the prospects for the development of intelligent video surveillance technology are still very bright. The bottleneck encountered is only temporary. With the development of intelligent monitoring, it will eventually Welcome to a better tomorrow.

Intelligent monitoring product innovation and development need to be strengthened

During the R&D process, manufacturers must focus on improving the performance of intelligent video analytics algorithms to improve real-time performance and reliability while reducing system false positives and false negatives, and at the same time increase the cost performance of intelligent video analytics products. More importantly, through the sharing of intellectual property rights and research results by security users, the cost of system construction can be effectively reduced, and the enthusiasm of security users can be fully mobilized to accelerate the promotion and application of security video analytics applications.

In addition, the security market management department must speed up the development of standards and specifications to boost the development of intelligent video analytics. Take the lead in accelerating the research on the application of the standard system architecture of security video analysis application products, and formulate corresponding technical standards in terms of basic functions and overall technical performance requirements, detection and authentication methods, etc., or establish related certification bodies such as "Intelligent Video Analysis Products Certification Testing Center". Improving the authoritativeness and operability of intelligent video analytics performance appraisal. Based on this, it further improved the market access and daily supervision system, created a standardized and orderly market environment, and promoted the protection of smart video analytics applications.