If you work in industrial quality inspection, you've probably experienced this frustrating moment: the system runs perfectly in the lab, but once deployed on the production line, it "crashes" — or the equipment passes acceptance testing flawlessly, yet three months later the miss rate starts to spike. In machine vision, detection accuracy is never determined by a single link — from camera selection to algorithm parameters, any weak point can cause the entire precision to "collapse." This a...