An Integrated Design of Industrial Robots and Machine Vision for Product Sorting System

Utilizing automated sorting system with industrial robots in industrial production lines has numerous economic and productivity advantages. In the case of sensory-based product classification, industrial robots managed by machine vision proven to be clever and superior. This paper describes the procedure for calculating, designing, and testing a product sorting system utilizing a basic ABB IRB120 industrial robot and machine vision. Deep learning techniques are combined with a pure image processing engine to extract information from the image. Specifically, the communication between system components is addressed, with the employed protocol and tools explained in detail.