System for detecting surface type of object and artificial neural network-based method for detecting surface type of object

A system for detecting a surface type of an object, the system comprising:

• a driver component, carrying the object, wherein a surface of the object is divided along a first direction into a plurality of areas, the driver component further being for sequentially moving one of the plurality of areas to a detection position;
• a light source component, configured to face the detection position and provide light of a plurality of spectra that are different from one another to illuminate the detection position, wherein a light incident angle of the light of each of the spectra relative to a normal line of the area located at the detection position is more than a critical angle and less than or equal to 90 degrees, and wherein the plurality of different spectra are sequentially actuated;
• and
• a plurality of photosensitive elements, configured to face different sections of the area at the detection position and arranged along a second direction, capturing detection images of different sections of the area located at the detection position under the light of each of the spectra that are different from one another, wherein at least one photosensitive axis of the photosensitive elements is parallel to the normal line while at least another photosensitive axis of the photosensitive elements is between the normal line and the first direction.