Identification method of drying agent packaging bag identification model of spiking neural P system

Abstract

The invention discloses an identification method for a drying agent packaging bag identification model of a spiking neural P system, and the method comprises the following steps: (1) employing a camera to shoot an image of each drying agent packaging bag on a drying agent strip driven and conveyed by a motor, and obtaining a color drying agent packaging bag image corresponding to each drying agentpackaging bag; (2) converting the color drying agent packaging bag image obtained in the step (1) into a drying agent packaging bag grey-scale map, converting the grey-scale map of the drying agent packaging bag into a binary image of the drying agent packaging bag, encoding the binary image of the drying agent packaging bag into a pulse sequence, then sending the pulse sequence to a drying agentpackaging bag identification model based on a spiking neural membrane system, and performing online image classification by using a membrane potential driven learning algorithm based on the spiking neural membrane system so as to identify whether drying agent packaging bags are intact, empty, half-packaged, clamped and the like. The method can quickly and accurately identify whether the drying agent packaging bag is intact, empty, half-packaged, clamped and the like.

Description

technical field [0001] The invention belongs to the technical field of desiccant packaging bag identification, and in particular relates to an identification method for an identification model of a desiccant packaging bag in a pulse nerve membrane system. Background technique [0002] Desiccants are widely used in all walks of life, and the importance of producing desiccants is self-evident. However, some unqualified products such as empty bags, half bags and clips often appear in the desiccant production process. In order to prevent unqualified products from entering the market, it is necessary to check each produced desiccant packaging bag. At present, in order to select these unqualified products, manual screening is basically used, which is prone to missed inspections and high labor costs. Therefore, there is an urgent need for a method that can automatically detect unqualified desiccant packaging bags. [0003] The traditional image detection edge algorithm detects th...

AI Technical Summary

Problems solved by technology

[0004] The invention provides an identification method for the identification model of desiccant packaging bags in the pulse nerve membrane system to solve the technical problems of the existing desiccant packaging bag screening, such as large manual dependence and easy missing selection, and can quickly and accurately identify and detect the desiccant Whether the packaging bag is in good condition, empty bag, half bag and clip, etc.

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