The work aims to solve the problems such as low efficiency, slow speed and poor quality of traditional manual sorting. An automatic screening control system of packaging materials based on machine vision was designed, which was suitable for sorting materials of various conveying lines. Multiple image processing algorithms were combined to improve the precision of material screening. The improved median filter could realize image prepossessing. Morphological filtering could realize edge detection of packaging materials. Material identification could be completed based on edge matching. Finally, experimental research was carried out. The test results showed that, for circular, square and triangular materials, the sorting accuracy of the packaging material screening system was more than 99.5%, and the maximum grasping rate could reach 150 times /min. The proposed image processing algorithm can effectively extract the material edge and realize material identification, and has relatively high detection accuracy and stability, which can meet the packaging requirements.