Nowadays, people in the security industry have long been familiar with the concept of intelligent video surveillance, but “can not be seen from a distanceâ€. Many people know this product, but not many people use it. One is its price is not cheap. Second, the market application is not yet mature. Indeed, the user's demand for this product is urgent, but they are more in a wait-and-see attitude. Why?
“Installing the camera in the brainâ€, the smart video analysis product that has been launched with this beautiful wish has been developing slowly due to the complexity of its algorithm and the diversity of the target behavior. At present, foreign products are relatively mature, but they have not reached the level that can fully satisfy users, but have relatively low levels of intelligence and can accomplish some of the more simple automatic detection of behavior.
Although the current domestic market for intelligent video analytics has not yet been opened, it is only used in some of the larger government projects, such as traffic monitoring systems. However, if users want to use intelligent video analysis products to achieve intelligent monitoring methods, they will face the following problems: , ie how to choose the right, better performance video analysis technology products? What kind of product is best for your needs?
At present, there is no unified concept for intelligent video analytics in China. Which behavior detection belongs to the list of intelligent video analytics varies widely. Moreover, due to different use environments and different usage purposes, it is expected that the behavior of automatic detection will be different, and video analysis products will also face some subtle differences in their choices. The purpose of this paper is not to discuss the advantages and disadvantages of intelligent video analytics products. Instead, from the perspective of purchasing products, we list the points that users need to pay attention to in selecting the purchase process.
Illumination adaptability: The vast majority of monitoring systems will not be used only at a certain fixed time, in most cases require 24 hours to work. For a long-time monitoring system, the lighting conditions in its use environment are all changing - for outdoor video surveillance systems, day, night, day and night, the outdoor lighting conditions vary greatly, while also including glare , reflective, backlight, shadow and other factors. 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 surveillance is generally impossible to work under specific lighting conditions. The same is true for video analysis products. Improvement of core algorithms to enable video analytics to achieve better monitoring performance under various lighting conditions has become a major supplier of intelligent video analytics. One of the requirements. Therefore, the ability of video analytics technology to adapt to lighting has also become an extremely important factor that users need to consider when selecting intelligent video analytic products.
Stability: As stated above, most monitoring systems are required to be able to achieve long-term uninterrupted and stable operation of 7*24 hours. Average failure-free operation time is generally required to be at least 10,000 hours or more. Under this requirement, whether intelligent video analysis products have high system stability has become a concern. Three days of dead, errors, and poor stability, for the user, this product may not have any practicality, naturally can not win the market. Therefore, stability should also be one of the factors that users pay attention to. At present, intelligent video analysis products with embedded architecture have certain advantages over microcomputer software products. Their greatest feature is their high stability.
Anti-shake capability: The installed camera cannot be absolutely stationary. For some applications, such as the transportation industry, there are many factors that can cause slight camera shake (such as passing by the car, or blowing wind, etc.). The jitter of the camera is reflected in the video, which is the constant jitter of the visual field. The video analysis technology is implemented by locating and tracking the target in the video. If the anti-jitter performance is too poor, the tracking of the target is always lost. Can not extract the target's trajectory or extract errors, then this product is basically no practical value.
Anti-blurring: For those who know a little about monitoring technology, it is known that the focal length of the camera is a drift phenomenon. That is, if the camera is not moving for a long time, its focal length will often produce a certain deviation, and it will no longer maintain the original focal length value, and the focal length deviation. The direct consequence is the blurring 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, video analysis algorithms are required to effectively and accurately analyze the blurred video signal, that is, it is still better on the basis of fuzzy video. Video analytics performance.
Modularization: Engineers who have done the project know that the modular structure of the system is a very serious issue. The modular system is not only very easy to install, but it is assembled like a building block and it is more important: The investigation is simple and easy to maintain. The smaller the coupling between the system modules is, 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: At present, intelligent video analysis products do not have a unified standard in the industry, which also leads to inconvenient use. On the one hand, intelligent video analysis products are more professional in installation and debugging, often require professional and technical personnel to debug, and according to the actual use of the environment to specify parameters, on the other hand, current intelligent video analysis products and technologies are not very mature , in the process of using more technical support. Therefore, users should also consider product technical support and after-sales service when selecting video analytics products.
At present, foreign intelligent video analysis products are relatively mature, but their after-sales service does not occupy more advantages than domestic companies. Therefore, when users purchase intelligent video analysis products, they must not only consider the product's hard quality, but also consider the after-sales. Soft service.
“Installing the camera in the brainâ€, the smart video analysis product that has been launched with this beautiful wish has been developing slowly due to the complexity of its algorithm and the diversity of the target behavior. At present, foreign products are relatively mature, but they have not reached the level that can fully satisfy users, but have relatively low levels of intelligence and can accomplish some of the more simple automatic detection of behavior.
Although the current domestic market for intelligent video analytics has not yet been opened, it is only used in some of the larger government projects, such as traffic monitoring systems. However, if users want to use intelligent video analysis products to achieve intelligent monitoring methods, they will face the following problems: , ie how to choose the right, better performance video analysis technology products? What kind of product is best for your needs?
At present, there is no unified concept for intelligent video analytics in China. Which behavior detection belongs to the list of intelligent video analytics varies widely. Moreover, due to different use environments and different usage purposes, it is expected that the behavior of automatic detection will be different, and video analysis products will also face some subtle differences in their choices. The purpose of this paper is not to discuss the advantages and disadvantages of intelligent video analytics products. Instead, from the perspective of purchasing products, we list the points that users need to pay attention to in selecting the purchase process.
Illumination adaptability: The vast majority of monitoring systems will not be used only at a certain fixed time, in most cases require 24 hours to work. For a long-time monitoring system, the lighting conditions in its use environment are all changing - for outdoor video surveillance systems, day, night, day and night, the outdoor lighting conditions vary greatly, while also including glare , reflective, backlight, shadow and other factors. 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 surveillance is generally impossible to work under specific lighting conditions. The same is true for video analysis products. Improvement of core algorithms to enable video analytics to achieve better monitoring performance under various lighting conditions has become a major supplier of intelligent video analytics. One of the requirements. Therefore, the ability of video analytics technology to adapt to lighting has also become an extremely important factor that users need to consider when selecting intelligent video analytic products.
Stability: As stated above, most monitoring systems are required to be able to achieve long-term uninterrupted and stable operation of 7*24 hours. Average failure-free operation time is generally required to be at least 10,000 hours or more. Under this requirement, whether intelligent video analysis products have high system stability has become a concern. Three days of dead, errors, and poor stability, for the user, this product may not have any practicality, naturally can not win the market. Therefore, stability should also be one of the factors that users pay attention to. At present, intelligent video analysis products with embedded architecture have certain advantages over microcomputer software products. Their greatest feature is their high stability.
Anti-shake capability: The installed camera cannot be absolutely stationary. For some applications, such as the transportation industry, there are many factors that can cause slight camera shake (such as passing by the car, or blowing wind, etc.). The jitter of the camera is reflected in the video, which is the constant jitter of the visual field. The video analysis technology is implemented by locating and tracking the target in the video. If the anti-jitter performance is too poor, the tracking of the target is always lost. Can not extract the target's trajectory or extract errors, then this product is basically no practical value.
Anti-blurring: For those who know a little about monitoring technology, it is known that the focal length of the camera is a drift phenomenon. That is, if the camera is not moving for a long time, its focal length will often produce a certain deviation, and it will no longer maintain the original focal length value, and the focal length deviation. The direct consequence is the blurring 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, video analysis algorithms are required to effectively and accurately analyze the blurred video signal, that is, it is still better on the basis of fuzzy video. Video analytics performance.
Modularization: Engineers who have done the project know that the modular structure of the system is a very serious issue. The modular system is not only very easy to install, but it is assembled like a building block and it is more important: The investigation is simple and easy to maintain. The smaller the coupling between the system modules is, 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: At present, intelligent video analysis products do not have a unified standard in the industry, which also leads to inconvenient use. On the one hand, intelligent video analysis products are more professional in installation and debugging, often require professional and technical personnel to debug, and according to the actual use of the environment to specify parameters, on the other hand, current intelligent video analysis products and technologies are not very mature , in the process of using more technical support. Therefore, users should also consider product technical support and after-sales service when selecting video analytics products.
At present, foreign intelligent video analysis products are relatively mature, but their after-sales service does not occupy more advantages than domestic companies. Therefore, when users purchase intelligent video analysis products, they must not only consider the product's hard quality, but also consider the after-sales. Soft service.
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