![]() ![]() Frame rateįrame rate is the recording rate, or the number of frames per second. They provide software algorithms with undistorted information for analysis, which will significantly affect identification probability. For tasks where minimal latency is necessary, it is better to use frame-based compression codecs, like MJPG. It is worth choosing a lower compression ratio with identification or recognition tasks so you won’t lose any essential information within the subject of the video surveillance. You can sacrifice the quality of the picture and save on the archive volume for those cameras that solve the task of motion detection or general monitoring of a situation. Also, you can customize the compression rate of the codec. Therefore, modern cameras allow you to choose which codec to use. Because the frame-based codec transmits all frames (which leads to an increase in the data flow from the camera), video image analysis algorithms work much better on MJPG (automatic recognition of license plates, faces, etc.). Of the frame based, Motion JPEG (MJPG)is still used. Their advantage is a high level of video compression, which saves on building local networks for video surveillance and saves space in the archive. Presently, the most common codecs with interframe compression are H.264 and H.265. To do this, use the compression codec settings.Ĭodecs are divided into frame based (frame by frame), where compression occurs only within each image frame and stream based, where not all frames are transmitted, but only some and frame changes are relative to the reference frame. It depends on the efficiency of compression of the information transmitted from the camera. Identical cameras with the same resolution can generate significantly different traffic volumes. To select the camera’s installation site and performance characteristics, you can use the professional software, IP VIDEO SYSTEM DESIGN TOOL, for the sketch design of the video surveillance system. It is important to strike a balance in finding the minimum camera resolution that is sufficient to meet the criteria for solving a specific target video monitoring task. This calculation helps to manage the resources of the camcorder efficiently. Pixel density shows the number of pixels per meter of a real object. Therefore, when calculating needs of a video surveillance system, special criteria are used. However, there are times when a camera with a lower resolution can solve the same problem better and cheaper than a camera with a higher resolution. The more archive size required, the higher the cost of the system. ![]() You also need to consider that the higher the resolution of the camera, the more it “loads” the local network for IP video surveillance. The higher the resolution of the matrix with the same physical size, the lower its light sensitivity (the camera’s ability to “see” at low light levels in the dark). The image quality is influenced by lens optics, sensor sensitivity, video compression codec, and image compression rate. The higher the image resolution, the more detail can be saved to analyze information about the incident. The most common setting at the moment is the resolution of 2 megapixels. 16: 9 indicates the aspect ratio of the image. Multiplying 1920 pixels by 1080 pixels, we get 2,073,600 pixels, i.e., those same 2 megapixels. Camera resolutionĬamera resolution is measured in megapixels and shows how many pixels (the smallest details) of the image are on the horizontal and vertical sides of the video camera matrix-for example, 1920 × 1080 (2MP 16: 9). To calculate the system archive, you need to consider the technical characteristics, backgrounds, and operating conditions for all specific camera groups. Depending on the camera’s specifications and settings, the amount of information needed to be recorded will change. As a rule, the system has several cameras of the same type solving similar tasks. A camera at the entrance to a parking lot could have the task of recognizing the registration of a car. For example, a camera at the entrance may be needed to identify visitors. Number of camerasĪ video surveillance system can consist of one or many cameras. The calculation will show how much hard disk (HDD) space is needed to store the video surveillance archive on a server, video recorder, or on a microSD card. In this article, we will analyze the calculation of the video archive. ![]() What affects the size of the video surveillance archive? Specialized calculators answer these questions and help you determine which parameters are suitable for your video surveillance system. The calculation of video surveillance is necessary to determine which camera model to choose, where to install the camera, and how to choose a hard drive for the DVR or microSD card for the IP camera with Edge Storage. Calculating the hard disk drive (HDD) capacity for the IP camera’s DVR/microSD card Why is video surveillance calculation needed? ![]()
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