A tool for estimating network strain from video surveillance systems helps determine the required network resources for smooth operation. For example, this estimation considers factors like resolution, frame rate, compression, and the number of cameras in the system. Accurately predicting network load prevents issues such as dropped frames, choppy video, and overall system instability.
Predictive network capacity planning is crucial for modern surveillance systems. Without proper assessment, network infrastructure may be overwhelmed, leading to ineffective monitoring and potential security vulnerabilities. Historically, such estimations were complex and often required specialized knowledge. Now, readily available tools simplify the process, allowing for more efficient and cost-effective deployment of security cameras.
