Light adaptability
It is believed that most monitoring systems will not be used only at a certain fixed time, and in most cases they are required to be in normal operation. For long-time monitoring systems, the lighting conditions of their use environment are all changed. The monitoring system used outdoors does not have to be said. It is cloudy, rainy, day and night, and the outdoor lighting conditions vary greatly. It also includes strong light, reflective light, backlighting, and shadows. As for the interior, although it is much simpler than the outdoor one, there are also changes in the lighting conditions caused by lighting, lighting, lighting, shadows, and personnel walking. Video analysis techniques cannot be used only in specific lighting conditions (of course, in some very special situations may be really constant light), you can not ask to use the environment to adapt to algorithm technology, but you should greatly improve the core algorithm to make The video analysis function can achieve better monitoring performance under various lighting conditions. Therefore, the ability of video analytics core technology to adapt to lighting is an extremely important factor that users need to consider when selecting video analytics products.
stability
Most monitoring systems are required to be able to achieve uninterrupted and stable operation for a long period of time of 7 × 24 hours. The average time for failure-free operation is generally required to be at least 10,000 hours or more. Under this requirement, whether or not the video analysis technology products have high system stability should be a factor worth noting, and it is impossible to die in three days or two, make mistakes, and products with poor stability cannot be truly practical. From this perspective, video analytics products of embedded architecture have certain advantages over microcomputer software products. Its greatest feature is its high stability.
Anti-jitter
Even Earth will have earthquakes, and the installed camera cannot be absolutely stationary. For some applications (such as the transportation industry), there are many factors that cause slight camera shake (such as passing by the car or blowing from the wind). The jitter of this camera is reflected in the video, which is the constant jitter of the visual field, and the video analysis technology is to realize the target's positioning and tracking from the video. If the anti-jitter performance is too poor, it will always lose track of the target. , which leads to the inability to extract the target's trajectory or extract errors, then this product is basically no practical value.
Anti-fuzzy
For those who know a little about monitoring technology, we know that the focal length of the camera is a phenomenon of drift. That is, if the camera is not moving for a long time, its focal length will often produce a certain deviation, it will no longer maintain the original focal length value, and the focal length deviation will have direct consequences. It is the blur of the video image. We can't require the monitoring staff to adjust the camera's focal length at any time. Therefore, to achieve a better video analysis effect, the algorithm needs to analyze the blurred video signal effectively and accurately, that is, to maintain a better video based on the fuzzy video. Analyze performance.
Modular
Engineers who have done the project know that the modular structure of the system is a very serious problem. The modular system is not only easy to install, but it is assembled like a building block, and more importantly: troubleshooting is simple. Easy to maintain, the less the coupling between the system modules, the better. Therefore, whether to have a modular product structure should also be an important issue that users should consider when selecting video analytics products.
Technical support and after-sales service
Video analysis technology products are still a type of product that is not standardized and is not very convenient to use. On the one hand, it is because the professional installation and debugging are relatively strong, and often require professional and technical personnel to carry out debugging and regulations according to the specific conditions of the use of the environment. The parameters, on the other hand, are because products and technologies are not very mature and require more technical support during use. Therefore, users should also consider the product's technical support and after-sales service when selecting video analytics products. From a certain point of view, domestic manufacturers account for geographical advantages and have certain advantages compared with foreign manufacturers. It will be much more convenient to implement and feedback will be much faster. In the same way, domestic manufacturers should also select companies with strong technical and economic strength to truly obtain guaranteed and efficient technical support and after-sales services. What needs to be pointed out is that here refers to the vendors that provide technical support and services. Such vendors are not necessarily the direct developers or manufacturers of related products, but also include agents or channel providers who only undertake service work.
It is believed that most monitoring systems will not be used only at a certain fixed time, and in most cases they are required to be in normal operation. For long-time monitoring systems, the lighting conditions of their use environment are all changed. The monitoring system used outdoors does not have to be said. It is cloudy, rainy, day and night, and the outdoor lighting conditions vary greatly. It also includes strong light, reflective light, backlighting, and shadows. As for the interior, although it is much simpler than the outdoor one, there are also changes in the lighting conditions caused by lighting, lighting, lighting, shadows, and personnel walking. Video analysis techniques cannot be used only in specific lighting conditions (of course, in some very special situations may be really constant light), you can not ask to use the environment to adapt to algorithm technology, but you should greatly improve the core algorithm to make The video analysis function can achieve better monitoring performance under various lighting conditions. Therefore, the ability of video analytics core technology to adapt to lighting is an extremely important factor that users need to consider when selecting video analytics products.
stability
Most monitoring systems are required to be able to achieve uninterrupted and stable operation for a long period of time of 7 × 24 hours. The average time for failure-free operation is generally required to be at least 10,000 hours or more. Under this requirement, whether or not the video analysis technology products have high system stability should be a factor worth noting, and it is impossible to die in three days or two, make mistakes, and products with poor stability cannot be truly practical. From this perspective, video analytics products of embedded architecture have certain advantages over microcomputer software products. Its greatest feature is its high stability.
Anti-jitter
Even Earth will have earthquakes, and the installed camera cannot be absolutely stationary. For some applications (such as the transportation industry), there are many factors that cause slight camera shake (such as passing by the car or blowing from the wind). The jitter of this camera is reflected in the video, which is the constant jitter of the visual field, and the video analysis technology is to realize the target's positioning and tracking from the video. If the anti-jitter performance is too poor, it will always lose track of the target. , which leads to the inability to extract the target's trajectory or extract errors, then this product is basically no practical value.
Anti-fuzzy
For those who know a little about monitoring technology, we know that the focal length of the camera is a phenomenon of drift. That is, if the camera is not moving for a long time, its focal length will often produce a certain deviation, it will no longer maintain the original focal length value, and the focal length deviation will have direct consequences. It is the blur of the video image. We can't require the monitoring staff to adjust the camera's focal length at any time. Therefore, to achieve a better video analysis effect, the algorithm needs to analyze the blurred video signal effectively and accurately, that is, to maintain a better video based on the fuzzy video. Analyze performance.
Modular
Engineers who have done the project know that the modular structure of the system is a very serious problem. The modular system is not only easy to install, but it is assembled like a building block, and more importantly: troubleshooting is simple. Easy to maintain, the less the coupling between the system modules, the better. Therefore, whether to have a modular product structure should also be an important issue that users should consider when selecting video analytics products.
Technical support and after-sales service
Video analysis technology products are still a type of product that is not standardized and is not very convenient to use. On the one hand, it is because the professional installation and debugging are relatively strong, and often require professional and technical personnel to carry out debugging and regulations according to the specific conditions of the use of the environment. The parameters, on the other hand, are because products and technologies are not very mature and require more technical support during use. Therefore, users should also consider the product's technical support and after-sales service when selecting video analytics products. From a certain point of view, domestic manufacturers account for geographical advantages and have certain advantages compared with foreign manufacturers. It will be much more convenient to implement and feedback will be much faster. In the same way, domestic manufacturers should also select companies with strong technical and economic strength to truly obtain guaranteed and efficient technical support and after-sales services. What needs to be pointed out is that here refers to the vendors that provide technical support and services. Such vendors are not necessarily the direct developers or manufacturers of related products, but also include agents or channel providers who only undertake service work.
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