In the era of digital surveillance, with the gradual improvement of people's monitoring needs, network cameras are developing in the direction of high definition and intelligence. This paper mainly discusses the development trend of digital network cameras in the technical field in the next few years.
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1, high definition into the most basic appeal
In the era of analog surveillance, users have long been complaining about the blurry, snow-filled picture, but there is no way to do it, because the best cameras on the market can only do D1, and the theoretical maximum of pixels is only more than 400,000. In the non-security field, there are overwhelming digital cameras, camcorders, computer cameras, and mobile phone cameras, which are millions or even tens of millions of pixels. As the security assistant's first assistant, the analog surveillance products can no longer meet the needs of users. Therefore, "HD" has become the first demand, and with high-definition image quality, low illumination, wide dynamics, intelligence, etc. Only when higher-level requirements can be realized can they be applied.
High-definition images rely mainly on technological breakthroughs, starting with improving the quality of video sources. Compared with analog cameras, digital network cameras use progressive scanning. Commonly used CMOS sensors have AD conversion, optical signal input, digital signal output, avoiding repeated AD conversion, low image quality, and color reproduction and signal. Excellent performance in anti-jamming.
The analog camera front-end photoreceptor outputs an analog signal, which is then converted to a digital signal for color and brightness processing, which in turn converts the digital signal into an analog signal output. When reaching the back-end device such as DVR, the analog signal is converted into a digital signal by the video capture chip (such as: 7130, 6805), a total of 3 AD conversion occurs, the picture is seriously damaged, when the composite video is transmitted to the video capture chip. In addition to the AD conversion, the video capture chip also needs to perform bright color separation (dressing filter). Because it is difficult to completely separate the brightness and color signals, the traditional analog video monitoring is prone to color penetration and variegation.
2, low illumination speeds up the pace of popularization
With the increasing use of security monitoring in the high-end dedicated field, the range of applications of cameras is becoming more and more extensive. Many places with poor monitoring conditions and dim light require the installation of versatile cameras, especially low-light cameras. In addition, in order to meet the needs of 24/7 surveillance, the new technology low-light camera has become the new favorite of the surveillance market. At present, low-light cameras have been widely used in financial, cultural, hotel, office, residential property management and other fields.
It is well known that the image sensor of the same photosensitive area, the higher the pixel, the smaller the photosensitive area allocated to each pixel, and the smaller the number of photons received, the worse the low illumination performance, so many people will only have The multi-megapixel analog camera is compared to the megapixel network digital camera for low illumination, and it is mistakenly considered that low illumination is the weakness of digital network cameras. In fact, digital cameras have been continuously improved and improved in terms of low illumination, and breakthroughs have been made, and the future development trend is getting better and better.
Nowadays, low-light HD network cameras have emerged. These cameras use multiple brightness enhancement technologies. In the harsh monitoring environment, the low illumination effect far exceeds that of analog cameras. They also have a prominent advantage, that is, ordinary cameras are low. Under the illuminance condition, the color picture is faded and turned into a black and white image. This product still displays a color image under low illumination. Whether it is a static picture or a dynamic picture, it can show a strong sense of layering, true color reproduction, and less noise. There are no advantages such as tailing. Industry experts believe that the improvement of low illumination performance will accelerate the popularization of high-definition network cameras and accelerate the process of high-definition surveillance.
3. Intelligently improve monitoring efficiency
Traditional monitoring is defensive monitoring, and there is a lack of interaction between people and machines. The emergence of intelligent monitoring has changed this situation, becoming passive and active, and intelligently extracting a large amount of useful information from the original video information in a timely and automatic manner. Complete the transfer and retrieval of the video, or drive other programs to run other smart actions.
Its advantages are obvious: reliable monitoring around the clock, improve alarm accuracy, and fast response.
Intelligent monitoring can identify behaviors and types from complex data analysis, and provide operational commands, data, and information to achieve intelligent behaviors such as alarms, alert attention, and intelligent retrieval. If traditional video surveillance is a means of searching for criminal suspects afterwards, intelligent monitoring is an auxiliary means to prevent the occurrence of crime, thereby greatly improving the monitoring efficiency. Moreover, since the smart device is capable of selectively transmitting video, thereby effectively saving bandwidth, the available network bandwidth is greatly improved. Today, intelligent monitoring has become an important topic in monitoring technology development and market demand.
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