The Cost of One Video Surveillance Channel Based on Neural Networks
Summary
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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