[ Huaqiang Security Network News ] When it comes to nighttime monitoring , everyone should know that the requirements are relatively high, and it is necessary to control high-quality images. There are many challenges to overcome. Manage bandwidth under low illumination conditions. Whether it is analog or digital, almost all CCTV cameras. You can capture useful images with plenty of light during the day. However, it is how your security system platform works at night, which determines its overall effectiveness, because most crimes occur in the fragile time of the dark, and today's security systems need to be equipped with twenty-four hours of monitoring equipment. 
Most crimes use the weaknesses of the surveillance system to commit crimes at night.
Most modern security camera specifications appear to work effectively under very low light conditions, but their illuminance is very low, usually within 0.1 lux. But it is widely known that without professional CCTV lighting—whether white or infrared—most cameras can only capture low-quality “noisy†images in dark environments and at night.
Improved image quality and usability have significant benefits for special safety lighting. However, another key benefit for CCTV users has only gradually emerged. As the light level drops, the compressed video stream bit rate of each camera from the network increases significantly. This increased bit rate, if left unresolved, will result in a significant increase in the total storage cost of the system.
Understand the automatic gain control (ACC) of night vision security cameras
In order to understand why low illumination monitoring has such high bandwidth requirements and to transmit video at a higher bit rate, we need to consider automatic gain control (AGC). AGC is a camera technology that improves signal strength under low illumination conditions. It works very simply, magnifying the image; the effect of this amplification is simply to increase the video signal and.
Let's look at a typical security project: a live surveillance camera delivers good images available during the day, but in the dark, the camera's AGC function comes into effect. The darker the more the AGC increases, the more images captured by the camera become granulated and "noisy". The final image is completely obscured by "snow" and is almost useless. So why is the “noisy†night surveillance video affecting the bit rate?
The impact of video compression algorithms
To understand why the bit rate will rise, it is important to have a basic understanding of how the video compression algorithm works. The basic principle of compression is to eliminate all non-essential information and reduce the size of the file. All compression requires a compromise between image quality and file size. Higher compression ratios can result in smaller file sizes but lower image quality; lower compression ratios can produce high quality images but require larger file sizes.
Problems caused by low-light conditions will be much less and limit surveillance camera technology
For most devices, the camera's frame rate and resolution need to be adjusted to suit the needs of the application; these parameters are usually specified earlier. This has the obvious benefit of lowering the frame rate and reducing the resolution (lower bit rate), while also having a major bit. The result of sacrificing frame rate and resolution is a low-quality, "crashing" surveillance video that may miss key moments in the recorded time.
The most popular video compression today is combined with JPEG, MPEG or M-JPEG. The most recent is the new H.264 algorithm, which is about 30% less bandwidth than MPEG4 compression technology and 80% more efficient than M-JPEG. However, all algorithms have a common principle of reducing information; reducing irrelevant information, eliminating video signals that are not noticed by the human eye (such as subtle color changes) or removing duplicate redundant information from the same or intermediate frames, such as large Color blocks or fixed objects.
Low illumination monitoring, compression quality and bit rate relationship
At night, the camera usually has less activity and motion in the field of view of the lens, so nighttime video should store the video at a lower bit rate. However, camera acquisition of increased image noise causes compression algorithms that can interfere with the video encoder. To be precise, the compression algorithm treats noise as an on-site motion through AGC-enhanced pictures, so useful information cannot reduce irrelevant or redundant volumes. Because the night surveillance video is compressed less, the volume is larger than it should be. It is now clear that there is a direct relationship between low illumination recording monitoring, compression quality and bit rate.
The impact of bit rate on the cost of security systems
Increasing storage space is expensive and one of the major expenses of modern digital surveillance systems, where bit rate is the large amount of data transmitted by a camera or encoder per second. It is also a large amount of data that must be saved and written to the storage medium every second. The higher the bit rate of each channel of the camera or encoder, the higher the overall system storage requirements. Increasing storage space is expensive and one of the major expenses of modern digital surveillance systems.
Benefits of combining infrared and coding (IP and hybrid)
Rather than constantly adding storage to a security system, it's better to solve the problem—the high bit rate at night. First of all, it seems that a quick solution is to simply disable the camera's AGC function. This may reduce the bit rate, but at the cost of sacrificing all important image details. Disabling the camera's AGC function will cause the quality of the monitor image to be poor, even if it is not useless. A better solution is to install energy-efficient infrared lighting on the lens. When using infrared, the camera does not have to collect so many pictures, the encoder algorithm is not so much, DVR and other storage devices can work best.
When using infrared illumination, security cameras deliver high-resolution, high-quality night-time surveillance video evidence with near-zero image noise, and now we know that less video noise equals better compression quality, less bitrate, and storage requirements.
Using infrared illumination to enable security cameras to transmit more resolution will also love you to monitor video security camera lighting and image quality
The most basic, infrared is light. Light is invisible to the human eye, but it is used by monochrome (black and white) and dual-mode surveillance cameras to reveal night scenes that may be completely dark to the human eye. Remember our golden rule, there is no picture without light.
Infrared prevents noisy nighttime images and a series of events that cause high bitrates, excessive storage requirements and unnecessary expenses. In addition, some infrared illuminator features have innovated 3D diffusion (black diamond) technology to direct light to the foreground and background of the camera's field of view to produce a perfectly uniform illuminated night image, avoiding hot spots caused by other infrared illuminators and Overexposed. It is important to remember that the quality of the image is high, and the storage requirements and the overall cost of the system are low.
Reduce storage requirements with IR in digital video surveillance applications
While the use of infrared illumination to improve image quality and usability is widely recognized by the security industry, it may be surprising to use it as a bandwidth management tool. Since storage is one of the biggest expenses caused by running a security system, IR is an effective tool to reduce the storage requirements in digital video applications. It is welcome and encouraged to surprise.
Most modern security camera specifications appear to work effectively under very low light conditions, but their illuminance is very low, usually within 0.1 lux. But it is widely known that without professional CCTV lighting—whether white or infrared—most cameras can only capture low-quality “noisy†images in dark environments and at night.
Improved image quality and usability have significant benefits for special safety lighting. However, another key benefit for CCTV users has only gradually emerged. As the light level drops, the compressed video stream bit rate of each camera from the network increases significantly. This increased bit rate, if left unresolved, will result in a significant increase in the total storage cost of the system.
Understand the automatic gain control (ACC) of night vision security cameras
In order to understand why low illumination monitoring has such high bandwidth requirements and to transmit video at a higher bit rate, we need to consider automatic gain control (AGC). AGC is a camera technology that improves signal strength under low illumination conditions. It works very simply, magnifying the image; the effect of this amplification is simply to increase the video signal and.
Let's look at a typical security project: a live surveillance camera delivers good images available during the day, but in the dark, the camera's AGC function comes into effect. The darker the more the AGC increases, the more images captured by the camera become granulated and "noisy". The final image is completely obscured by "snow" and is almost useless. So why is the “noisy†night surveillance video affecting the bit rate?
The impact of video compression algorithms
To understand why the bit rate will rise, it is important to have a basic understanding of how the video compression algorithm works. The basic principle of compression is to eliminate all non-essential information and reduce the size of the file. All compression requires a compromise between image quality and file size. Higher compression ratios can result in smaller file sizes but lower image quality; lower compression ratios can produce high quality images but require larger file sizes.
Problems caused by low-light conditions will be much less and limit surveillance camera technology
For most devices, the camera's frame rate and resolution need to be adjusted to suit the needs of the application; these parameters are usually specified earlier. This has the obvious benefit of lowering the frame rate and reducing the resolution (lower bit rate), while also having a major bit. The result of sacrificing frame rate and resolution is a low-quality, "crashing" surveillance video that may miss key moments in the recorded time.
The most popular video compression today is combined with JPEG, MPEG or M-JPEG. The most recent is the new H.264 algorithm, which is about 30% less bandwidth than MPEG4 compression technology and 80% more efficient than M-JPEG. However, all algorithms have a common principle of reducing information; reducing irrelevant information, eliminating video signals that are not noticed by the human eye (such as subtle color changes) or removing duplicate redundant information from the same or intermediate frames, such as large Color blocks or fixed objects.
Low illumination monitoring, compression quality and bit rate relationship
At night, the camera usually has less activity and motion in the field of view of the lens, so nighttime video should store the video at a lower bit rate. However, camera acquisition of increased image noise causes compression algorithms that can interfere with the video encoder. To be precise, the compression algorithm treats noise as an on-site motion through AGC-enhanced pictures, so useful information cannot reduce irrelevant or redundant volumes. Because the night surveillance video is compressed less, the volume is larger than it should be. It is now clear that there is a direct relationship between low illumination recording monitoring, compression quality and bit rate.
The impact of bit rate on the cost of security systems
Increasing storage space is expensive and one of the major expenses of modern digital surveillance systems, where bit rate is the large amount of data transmitted by a camera or encoder per second. It is also a large amount of data that must be saved and written to the storage medium every second. The higher the bit rate of each channel of the camera or encoder, the higher the overall system storage requirements. Increasing storage space is expensive and one of the major expenses of modern digital surveillance systems.
Benefits of combining infrared and coding (IP and hybrid)
Rather than constantly adding storage to a security system, it's better to solve the problem—the high bit rate at night. First of all, it seems that a quick solution is to simply disable the camera's AGC function. This may reduce the bit rate, but at the cost of sacrificing all important image details. Disabling the camera's AGC function will cause the quality of the monitor image to be poor, even if it is not useless. A better solution is to install energy-efficient infrared lighting on the lens. When using infrared, the camera does not have to collect so many pictures, the encoder algorithm is not so much, DVR and other storage devices can work best.
When using infrared illumination, security cameras deliver high-resolution, high-quality night-time surveillance video evidence with near-zero image noise, and now we know that less video noise equals better compression quality, less bitrate, and storage requirements.
Using infrared illumination to enable security cameras to transmit more resolution will also love you to monitor video security camera lighting and image quality
The most basic, infrared is light. Light is invisible to the human eye, but it is used by monochrome (black and white) and dual-mode surveillance cameras to reveal night scenes that may be completely dark to the human eye. Remember our golden rule, there is no picture without light.
Infrared prevents noisy nighttime images and a series of events that cause high bitrates, excessive storage requirements and unnecessary expenses. In addition, some infrared illuminator features have innovated 3D diffusion (black diamond) technology to direct light to the foreground and background of the camera's field of view to produce a perfectly uniform illuminated night image, avoiding hot spots caused by other infrared illuminators and Overexposed. It is important to remember that the quality of the image is high, and the storage requirements and the overall cost of the system are low.
Reduce storage requirements with IR in digital video surveillance applications
While the use of infrared illumination to improve image quality and usability is widely recognized by the security industry, it may be surprising to use it as a bandwidth management tool. Since storage is one of the biggest expenses caused by running a security system, IR is an effective tool to reduce the storage requirements in digital video applications. It is welcome and encouraged to surprise.
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