How AI image detection works: techniques, signals, and limitations Understanding the inner workings of an ai image detector starts with knowing what these systems look for. At their core, detection models analyze visual and non-visual signals: pixel-level noise patterns, frequency-domain artifacts introduced during synthesis, inconsistencies in lighting or shadows, and semantic mismatches between image content