Abstract
For reducing the false rate in brand recognition by barcode, a cigarette case sorting system with visual inspection was designed based on template matching algorithm, which was composed of high precision color industrial camera, slit light source, industrial computer, and photoelectric sensors. By processing the image of numeric-alphabetic code on the sides of cigarette case captured by industrial camera, the brand of cigarette case was identified through template positioning matching and template precision matching, the obtained brand information was transferred to logistics sorting system, and then cigarette cases were sorted accurately. The results of application showed that the average false rate for brand detection was decreased from 12.10% to 0.28%, the inspection efficiency improved effectively, and the continuity and stability of production were ensured.
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