Fig. 6. Practical application scenarios of material type and roughness identification by the smart finger and the interactive interface.

(A) Photographs of several test materials and the corresponding identification accuracy. (B to D) With the aid of machine learning, the smart finger successfully identified the material type, and the results were displayed on the OLED screen. (E to G) The roughness detection process used by the smart finger; the recognition results were displayed on the OLED screen. (H and I) The computer interface for material type and surface roughness identification.