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This paper introduces FatigueCV, a physics-informed deep learning framework that predicts steel fatigue life from optical micrographs in under 65ms, using a CNN with uncertainty estimation. Validation on synthetic micrographs shows strong performance (R²=0.93), though real-world validation is noted as future work.