Summary: From an embedded vision perspective, the article explains how ISP tuning tailors camera output for machines rather than human eyes. It contrasts human-pleasing imagery with machine-optimized pipelines that prioritize consistency, dynamic range, low noise, and feature fidelity to improve detection and measurement accuracy. The core message: task-specific tuning of exposure, white balance, denoising, sharpening, tone mapping, and HDR makes vision systems more robust and efficient, often outperforming human-oriented settings for industrial use.