Online fault detection method and system for video monitoring system and electronic equipment
A video surveillance system and fault detection technology, which is applied in television, electrical components, image communication, etc., can solve the problems of insensitivity, low detection efficiency, lagging fault detection of video surveillance system, etc., and achieve high sensitivity and high detection efficiency.
Inactive Publication Date: 2019-07-23
睿石网云(北京)科技有限公司
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[0003] Compared with the rapid development of video surveillance systems, the fault detection of video surveillance systems is relatively lagging behind. The existing fault detection method is periodic active detection. For example: there are 10,000 cameras in a certain district of a city, but they cannot be located Which of the 10,000 cameras are good and which are bad, then when detecting a fault, it will be checked from the first camera to the 10,000th camera one by one. Generally, each camera is connected to the network first, and the network connection is successful. Finally, obtain the video stream, and then analyze the image quality of the obtained video stream. If all 10,000 cameras are analyzed, it may take a day or even longer, which makes the detection cycle long, low detection efficiency and insensitive
[0004] In addition, the traditional fault detection method is to establish a connection with the integrated video platform and retrieve the data of a certain camera in real time. If it can be retrieved, it means that there is no problem. It is known that if the video of a certain camera is blurred, then the result of the detection method of the prior art is that only blurred video can be seen, but it is not known whether it is a network failure, a power problem, or a problem with the camera itself, so accurate positioning cannot be performed
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[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.
[0027] figure 1 It is a schematic diagram of a hardware network architecture on which an online fault detection method of a video surveillance system according to an embodiment of the present invention depends.
[0028] like figure 1 As shown, it includes a video capture terminal, a network switch, a video storage system and a video scheduling platform. The video capture terminal is connected to the video storage system...
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The invention discloses an online fault detection method and system for a video monitoring system and electronic equipment, and the method carries out the online fault detection based on a probe disposed on at least one network node in the video monitoring system, and comprises the steps: obtaining the video flow of at least one network node; judging whether the video traffic is normal or not; andwhen the video flow is abnormal, determining an abnormal fault type. Therefore, the fault type can be accurately known, the detection efficiency is high, and the sensitivity is high.
Description
technical field [0001] The invention belongs to the field of video monitoring, and in particular relates to an online fault detection method, system and electronic equipment of a video monitoring system. Background technique [0002] Video surveillance system is an important part of the security system, and it is widely used in many occasions because of its intuition, accuracy, timeliness and rich information content. In recent years, with the rapid development of computer, network, image processing and transmission technology, video surveillance technology has also developed rapidly. [0003] Compared with the rapid development of video surveillance systems, the fault detection of video surveillance systems is relatively lagging behind. The existing fault detection method is periodic active detection. For example: there are 10,000 cameras in a certain district of a city, but they cannot be located Which of the 10,000 cameras are good and which are bad, then when detecting ...
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IPC IPC(8): H04N17/00
CPCH04N17/004
Inventor 周向军唐进元
Owner 睿石网云(北京)科技有限公司