Reduce False Positives in Visual Testing: The Problem Nobody Really Solves False positive in visual testing : an alert flagging a visual difference between two screenshots when no real change to the interface has occurred. Caused by rendering variations (anti-aliasing, animations, dynamic content) that the tool incorrectly interprets as a regression. You may have experienced this scene. Monday morning, you open your visual testing dashboard. 47 alerts. You start triaging. The first one: a one-pixel difference on the edge of a button. The second: a drop shadow rendered slightly differently. The third: text whose kerning shifted by a quarter pixel between two captures. By the twentieth alert, you know they're all false positives. But you still have to check the remaining 27 — because the one time you stopped checking, a real bug made it to production. This is the number one problem in visual testing. Not detection. Not speed. Not price. False positives.…