Classic computer vision uses discrete algorithms to identify specific shapes. It’s robust, mature, and ideal for identifying easy-to-distinguish objects.
AI-based computer vision uses deep learning models—trained neural networks—to recognize objects, flaws, handwriting, and other organic, hard-to-distinguish shapes.