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 cut power use by roughly 40–50%. 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.