Abstract: Intelligent non-destructive testing grading technology is the core direction of technological advancement in the industrial non-destructive testing field. Leveraging the deep integration of artificial intelligence (AI), industrial robots, digital twins, and network communication technologies, it has established a stepwise and systematic development framework, evolving from manual inspection 1.0 to perceptual inspection 4.0. This advancement achieves a leapfrog upgrade in visual inspection intelligence, transitioning from "passive execution" to "active optimization," and from "human operating equipment" to "human commanding robots to operate equipment." It provides critical technical support for enhancing industrial inspection accuracy, optimizing efficiency, and adapting to complex working conditions. This article systematically elaborates on the technical connotations and application characteristics of each inspection level, with applicable scenarios covering various inspection needs in the industrial sector. These include perceptual inspection scenarios centered on artificial labor, automated equipment, AI technology, and human-machine collaboration; instrument operation scenarios characterized by manual operation, computer control, AI self-learning, and robotic execution; as well as non-destructive testing operations aimed at precision improvement, efficiency optimization, complex scenario adaptation, and flexible human-machine collaboration. In the future, intelligent robots and perceptual robots will form a clearly defined and complementary collaborative framework in product inspection, with manual inspection serving only as a supplementary method in extremely rare special cases. Perceptual robots will be deeply integrated into the entire production process, enabling efficient human-machine interaction and collaborative operations, thereby establishing a new working model where humans lead, machines collaborate, and intelligence empowers.