Abstract. The author introduces a self-learning control system used in cigarette surface defect detection system. The database, data acquisition card and industrial computer are used to realize high speed detection of cigarette surface defects. The results show that the advantages compared with the traditional measurements are as follows: Firstly, realize the detection of entire cigarette surface; Secondly, achieve the unmanned operation with no manual operation needed from the beginning to the end; Thirdly, save the qualified and unqualified testing data, convenient to historical retrospection and data statistics.
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