A mechanism used to estimate the required network capacity for a video surveillance system. It considers factors like camera resolution, frame rate, compression type, and the number of cameras transmitting data simultaneously. For instance, a system with multiple high-resolution cameras recording at 30 frames per second and utilizing H.265 compression will have a substantially different bandwidth demand than a system with fewer, lower-resolution cameras recording at 15 frames per second and using MJPEG compression.
Accurate assessment of network needs is crucial to ensuring reliable video streaming and recording without interruption. Underestimating the required capacity can lead to dropped frames, lag, and reduced video quality, impacting the system’s effectiveness. Historically, such assessments were performed manually, often leading to inaccuracies. Modern tools automate this process, providing a more precise evaluation and facilitating better network infrastructure planning and resource allocation.
