Reducing security-camera inference power use with a local model

The author runs YOLO continuously for security-camera detection and asked a local AI to optimize the pipeline because it consumed power around the clock. The model produced changes that reportedly reduced power consumption from roughly 40–50% of the previous level. The comment does not identify the local model, hardware or runtime, but it documents a concrete and measurable systems-optimization task rather than a benchmark.

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