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Development Trend of Network HD Cameras
In the field of video surveillance, home network high-definition cameras have not been able to achieve universal commercial use for some time in the past. The reason is that there is insufficient network infrastructure bandwidth, high cost, and video image quality cannot meet requirements and cannot provide basic resources for smart analysis. , Now based on the network conditions and encoding, high-definition and other major video technology problems, the development of network HD camera surveillance technology has been a major breakthrough, analog to IP network has also become a trend, the market is slowly from the mainstream simulation The camera developed to the webcam.
Network HD cameras integrate the functions of traditional cameras and video encoding compression, video analysis, etc. The video signal is digitally compressed and video analysis is performed for more purposes. The video digital signal is transmitted via the network switch over the IP network and recorded on the NVR or server equipped with video management software. Compared with analog cameras, their image quality is more stable and their power consumption is lower. Similarly, our network video system composed of intelligent network cameras is a completely digital system. The video signals of the monitored scene are continuously transmitted from the network cameras through the IP network. The convenience is that no matter where the viewer is located, the camera Can provide viewers with stable image quality.
Any product has its own advantages and disadvantages, as does a network HD camera. In the past, analog cameras had hundreds of thousands of pixels, but now, with the concept of high-definition and other concepts gradually integrated into the minds of consumers, their demand for high-definition continues to increase, driven by continuous demand, many manufacturers have introduced With 2 million, 3 million, or even more pixels of high-definition network smart camera, its clear picture quality and high compression ratio, has far exceeded the picture quality of the traditional traditional monitoring, and powerful monitoring capabilities, and can be integrated identification, Search, tracking and other technologies, but the traditional analog camera can not meet this need. Of course, high efficiency will inevitably correspond to the high cost issue. Intelligent network cameras have higher investment in infrastructure and systems than ordinary ones. In particular, today's basic networks in second and third tier cities are imperfect, and this is an impact for ordinary users. One of the main reasons for buying.
The security of network HD cameras cannot be ignored. Network cameras use network transmission to hierarchically manage, process, and store data, while analog cameras use coaxial cables to transmit video information, often without encryption and authentication mechanisms. In this case, as long as the position of the video cable can be known, the video picture transmitted therein can be viewed by means of the connection. For the network video system, the network camera can first encrypt the collected video signal, and then transmit it through the network, which can ensure that only a specific network camera can access the system, thereby effectively avoiding the acquisition of false authorization personnel or Tamper with monitoring information. In addition to security, it is easy to install and can be placed in areas where the network infrastructure is mature, eliminating the need for additional cabling and significantly reducing costs.
At present, foreign markets have applied a large number of network video surveillance systems, and their level of intelligence is gradually increasing. As far as the current domestic market for intelligent analysis and monitoring is concerned, the market needs to be developed, but the growth rate is faster. For intelligent network camera technology, smart camera technology will evolve two opposite trends in the future: high-precision professional cameras and general-purpose cameras based on back-end support. The current high-precision professional (industrial) cameras use scenes mostly for traffic identification and financial alerting, such as license plate recognition in intelligent transportation, face recognition for financial protection, trajectory tracking and so on. This is very high for both the requirements of production facilities and the professional requirements of the operators. Therefore, smart cameras will gradually be monopolized by large and medium-sized enterprises with professional qualifications and understanding of the needs of the industry, and their products will also be increasingly targeted and applied in the industry. In addition, general-purpose network high-definition cameras that rely on back-end support will become the mainstream of smart cameras in the future.