The Cost of One Video Surveillance Channel Based on Neural Networks

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This article compares the cost of one video surveillance channel built on neural networks across different deployment options. It breaks down hardware, software, and infrastructure costs for PC-based and non-PC-based setups, including Windows, Linux, and AstraLinux environments. The text also examines how expenses change for different camera resolutions and channel counts. It highlights the use of ONNX and Nvidia-related components as part of the technical stack. The main takeaway is a cost model for building and operating AI video surveillance systems.

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