Image Processing Technology Leads New Direction in Security Industry

Computer image processing converts image signals into digital signals and processes them with a computer. Because computer processing speed is extremely fast, and digital signals have the characteristics of small distortion, easy preservation, easy transmission, and strong anti-interference ability, the application of computer image processing is extensive, including aerospace, telemetry, medical equipment, and industrial automation. , security identification and other major areas. With the development of science and technology, image processing technology has gradually matured.

Security industry's special requirements for image processing

Every application field has its own specific requirements, and its application in the security monitoring industry also has its inherent specialities:

1, the higher the image clarity. At the scene of security surveillance, public security agencies often need to identify suspects and evidence through surveillance videos. Generally speaking, videos with low resolution do not meet this requirement. At traffic surveillance sites, traffic policemen need to identify the license plate, violations, drivers, and other requirements through surveillance images. Fuzzy images cannot be applied at all in this situation.

2. The monitoring of different industries has different requirements for images. For example, medical monitoring requires relatively high color reproduction of images. Intelligent traffic monitoring requires a relatively high requirement for the camera's nighttime illumination and capture speed, and it requires clear identification of the license plate. Unattended monitoring requires long-term stable operation of the equipment under unsupervised conditions.

3, outdoor installation, unguarded. In the field of security, most of the equipment needs to be installed outdoors, and the equipment needs to withstand the year-round wind and sun. The aging of electronic devices can be relatively faster than in other areas. The aging of cameras, lenses, transmission lines and other facilities will cause the image to become increasingly blurred.

4, the requirements of massive video channels. In large-scale safe city monitoring projects, the number of video channels will reach tens of thousands of roads or even more. Therefore, in the field of video surveillance, video coding is expected to achieve the highest bit rate compression ratio, thereby reducing the bandwidth and storage capacity requirements. This leads to more loss of information in the video coding process, resulting in blurred images.

These special application requirements in the field of security will lead to a decrease in image sharpness, which in turn will have very high requirements for image clarity, which will inevitably lead to a broad application prospect of fuzzy image processing technology.

Image processing technology leads the industry in a new direction

In order to adapt to the development of industry demand, a new revolutionary combination of sensor, ISP and color low-light processing technology combined with the new technology. Can make the camera in the ultra-low light environment to show a clear color image, beyond the limits of the human eye to achieve high sensitivity, eliminating the high-definition camera must be configured at night to fill the array of infrared light to fill the distress. These cameras not only provide color images during the day. When the light is weakened, the camera can maintain the color, sharpness, smoothness, and low noise of the image, while maintaining the color and fluency of the image in a low-light environment provides users with more For rich video information.

Integrated CMOS sensor with excellent photographic performance. Compared with traditional CCD cameras, color low-light SDI HD cameras can provide more realistic colors, lower noise and more smooth color image quality, especially in the ultra-low illumination environment, using a patented noise reduction intelligent noise Technology and special processing modes to reduce fixed noise in CMOS sensors. , Even in dark conditions can achieve effective "visual". It is the first of a new generation of high-definition cameras, especially when users require color images to enhance the identification and recognition of surveillance objects. In addition, since the camera incorporating the new technology is digital, it provides numerous application functions, such as the use of progressive scan displays, video intelligence analysis, and video surveillance systems. Low-noise images also mean that high-definition video signals can achieve low bandwidth and lower storage costs for network transmission.

Not long ago, Shanghai's relevant departments set conditions to indirectly intervene in the application of infrared camera products in Shanghai. This bold decision in the Shanghai area caused the industry to be upset. This move is not a precursor to the withdrawal of domestic infrared cameras. Currently, it is not easy to judge, but there is no doubt that color low-light high-definition cameras will become one of the most popular devices in the future safe city project. In many cases, high-definition color images are very important for successfully identifying the monitoring objects. Such innovative technologies can effectively improve the ability of the surveillance system to recognize faces, vehicles, and accidents around the clock.

SDI HD video cameras are particularly prominent in the application of demanding video surveillance. They can be used in a variety of low-light environments such as parking lots, urban monitoring, buildings, and construction sites. They can also be used in outdoor environments such as power plants and water treatment plants. , prisons, and railway monitoring. For example, there may be only one light source at the construction site at night, users can supplement the infrared camera with ordinary cameras, but the high sensitivity of BEYONDVISIONTM technology makes this kind of supplement unnecessary, and the power consumption of each SDI HD camera does not exceed 1.5W. . In the era of global emphasis on energy conservation and environmental protection, we still hope that domestic security industry procurement of the camera as little or no infrared light, reducing power consumption and equipment maintenance costs. Take the surveillance camera used in the current Safe City project as an example. High-power and high-energy-consuming devices are often visible. If the power of each camera is reduced by 10 watts, according to a provincial capital city that needs to install 150,000 cameras, it can save more than 13.14 million kWh of electricity a year, and the annual savings of electricity will exceed 10 million yuan.

With the continuous development of economic construction, the safety monitoring system that is matched with it is becoming increasingly important. Especially for low-light environments, monitoring equipment that can still guarantee monitoring quality will also become the focus of development. Therefore, it can be foreseen that more and more companies will use BEYONDVISIONTM technology to develop high-sensitivity SDI HD video cameras with higher resolution. Having better photosensitivity and lower image noise will be a key feature of any new imaging technology in the future.

Conclusion:

As part of the Internet of Things, video surveillance will eventually develop in the direction of intelligence as the Internet of Things continues to develop and apply. The automatic analysis of images will become one of the techniques for system self-check applications. Through intelligent analysis, the system will Automatically recognizes the image's geometric shape, color, noise, blur, fusion, and super-resolution image effects for automatic analysis and processing. With the increasingly wide range of application of fuzzy image processing technology, the perfect combination of image processing technology and intelligent analysis will inevitably become a development trend.