Automatic selection method of product part number on the basis of image recognition technology

Abstract

The invention discloses an automatic selection method of a product part number on the basis of image recognition technology. The method comprises the following steps: (1) putting a product to be tested on an image measurement platform, carrying out image acquisition to the product to be tested by utilizing an optical camera to obtain the image information of the product to be tested; (2) sending the image information to a computer image recognition system, and processing the image information by utilizing the image recognition technology to obtain an recognized image; and (3) according to the recognized image, looking for the product part number corresponding to the recognized image from a detection program library. The automatic selection of the product part number can be realized, the selection accuracy and efficiency of the product part number can be improved, and seamless connection with a subsequent detection program can be conveniently realized.

Description

technical field [0001] The invention relates to the field of production technology and automation technology, in particular to a method for automatically selecting product material numbers based on image recognition technology. Background technique [0002] Image recognition technology mainly refers to the corresponding processing of images obtained by the front end of a system according to specific purposes through computers and mathematical techniques. Image recognition includes technologies such as barcode recognition, biometric recognition (face recognition, fingerprint recognition, etc.), dynamic object recognition in intelligent transportation, handwriting recognition, etc. Image recognition technology is an important field of artificial intelligence. With the development of computer technology and artificial intelligence technology, image recognition technology has increasingly become the basic technology of artificial intelligence. It involves more and more technical...

AI Technical Summary

Problems solved by technology

[0003] In the production and processing process of enterprises, in order to verify product qualification more accurately and quickly, image recognition technology will be used to detect the size of the produced products, but the current intelligent image size measurement equipment, such as the second dimension, is in When measuring, first select the material number of the product to be tested from the material number list (pull-down menu or manual input). Since users generally create dozens or hundreds of test material numbers by themselves, when confirming the selected material number, there are There is a possibility of wrong selection, and it needs to be operated by a person who is more familiar with the product to use the image size measurement device, so the device cannot automatically select the item number of the product, and it cannot achieve high accuracy

At the same time, when selecting a part number from the part number table, if you encounter parts with high precision, high density, high appearance familiarity, and only slight differences, it is difficult for the human eye to distinguish, which will easily lead to wrong part number selection, thus cause errors in subsequent measurements

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